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Our Academic Team

Meet SISTC’s academic team and learn how our experienced educators support quality teaching, student success and industry-focused learning outcomes.

Table of contents

Academic Leadership Team

  • Greg Whateley

    Emeritus Professor

    Greg Whateley

    DProf MEd GradDipEdAdmin BEdMus BEd DipT

    Executive Dean

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    Greg Whateley brings a wealth of leadership and academic experience to SISTC. With a career spanning over five decades, Dr Whateley is well known for his contributions to higher education, arts management, business management and the innovative application of virtual pedagogy, in particular.

    Throughout his career, Professor Whateley has held senior leadership positions across Australia’s most respected institutions. He has served as Head of School at Griffith University, Deputy Dean at the Queensland Conservatorium, Director at the Central Queensland Conservatorium of Music, General Manager at the Australian Institute of Music, Principal at the Australian International Conservatorium of Music, Director of Education and Quality at the National Centre for Language Training (University of New South Wales), Dean of The College at Western Sydney University, Chief Executive Officer and Deputy Vice Chancellor at Group Colleges Australia, Chief Executive and Executive Dean at the Australian Guild of Education and Deputy Chief Executive at the Australasian Academy of Higher Education. He is currently a Visiting Professor in Thailand and Italy.

    Nationally and internationally, he has contributed to educational programs and research in four states of Australia and five countries, and having 1000+ publications to his credit has cemented his reputation as a global education leader and commentator. He is currently Chair/Member of numerous Boards as well as holding numerous Fellowships.

    With a deep commitment to quality management and a vision for educational excellence, Emeritus Professor Whateley’s leadership will ensure that SISTC is well-positioned to enhance impact, strengthen reputation, ensure diversity of offerings – and uphold the highest standards of teaching and learning.

  • Nadeera Ahangama

    Associate Professor

    Nadeera Ahangama

    PhD MSc BSc

    Associate Dean

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    Associate Professor Nadeera Ahangama currently holds the position of Associate Dean at the Sydney International School of Technology and Commerce based in the Melbourne campus. With over a decade of experience in various Australian and international higher education entities, Nadeera has served in several senior academic leadership roles before joining SISTC. Since beginning her career as a university academic in 2007, Nadeera has demonstrated a strong commitment to student-centred education. She is passionate about enhancing higher education curriculum and pedagogy to create engaging learning experiences for her students.

    In 2019, Nadeera earned her PhD in Information Systems from the University of Colombo, complementing her Master’s degree in Technology Management from Staffordshire University, UK. Throughout her academic journey, she has actively contributed to academia and academic management within the fields of Information Technology and Information Systems across various national and international universities. Nadeera’s research interests extend beyond traditional boundaries, encompassing interdisciplinary areas such as Information Systems, Knowledge Management, and the social aspects of disaster management and resilience. Additionally, she has a keen interest in information technology pedagogy, reflecting her dedication to advancing teaching practices in higher education.

  • Zawar Shah

    Associate Professor

    Zawar Shah

    PhD MEngSc BEng

    Head of Discipline – IT

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    Zawar has more than 15 years academic experience in which he has effectively taught both post and undergraduate students. During his academic career, he has held many academic leadership positions in major universities and institutes. Zawar’s teaching philosophy is student centred, which enables him to create a fun and engaging learning experience for our students. His expertise lies in the areas of Cyber Security, Computer Networks, Cloud Computing, Internet of Things and Software Defined Networking.

    Biography

    Zawar Shah received Ph.D. degree in Electrical Engineering from the University of New South Wales (UNSW), Sydney, Australia, in 2009. He has more than fifteen years of experience in teaching various courses related to Information Technology (IT) at the tertiary level. He has held various academic leadership positions including the Head of the Computer Networks Group, Research Coordinator in IT at National University of Sciences and Technology (NUST), Pakistan and Whitireia Community Polytechnic, Auckland, New Zealand, respectively. He is currently working as an Associate Professor in IT at the Sydney International School of Technology and Commerce, Sydney, Australia. He has supervised many postgraduate research students, published many research articles in leading journals and conferences. He specializes in Computer Networks, Wireless Networks, Cyber Security and Cloud Computing. His research interests include Security Issues in Internet of Things (IoT), Security Issues in Software-Defined Networking (SDN), Quality of Service issues (QoS) in Wireless Networks and Blockchain based Solutions to Mitigate Cyber Attacks.

    Teaching Philosophy

    Teaching is a form of communication majorly aimed at effectively transferring knowledge to students. A teacher needs to be well prepared, knows his audience, be passionate about teaching, develop students’ interest in the subject and creates an enriching learning environment. I have always been very concerned about teaching with quality and excellence. That is why; I spend significant time preparing every lecture, even if I have delivered it before. I utilize student centred approach for teaching which enables me to identify and address the issues faced by students in my lectures. I am comfortable in using many learning tools e.g., Kahoot, Mentimeter etc. in my lectures to enhance student engagement. I use both formative and summative assessment methods to assess the learning of students. I try to have an interactive session with my students and encourage them to ask questions. I believe in learning through group discussions which create a very positive environment where students can discuss and learn from each other. I mark my assessments and announce results within the time frame and provide with detailed feedback on submitted work using clear and concise language.

    Academic Qualifications

    2009 Ph.D. in Electrical Engineering, University of New South Wales (UNSW), Sydney, Australia.

    2004 M.Eng.Sc. in Telecommunications Engineering, University of New South Wales (UNSW), Sydney, Australia.

    2003 Bachelor of Computer Systems Engineering, National University of Sciences & Technology (NUST), Islamabad, Pakistan.

    Teaching Areas
    • Cyber Security
    • Computer Networks
    • Cloud Computing
    • Wireless Networks
    • Computer Programming
    • Web Development
    Scholarship and Research Areas
    • Security Issues in Cloud Computing
    • Security Issues in Internet of Things (IoT)
    • Security Issues in Software-Defined Networking (SDN)
    • Quality of Service (QoS) Issues in Wireless Networks
    • Blockchain based Solutions to Mitigate Cyber Attacks
    Collaborations and Projects

    Projects

    • Deployment of an Internet of Things (IoT) based Wireless Sensor Network to Monitor Native Birds and Animals in Zealandia, Wellington, New Zealand
    • Mitigating ARP Cache Poisoning Attack in Software-Defined Networks (SDN)
    • Comparison of IEEE 802.11ac and IEEE 802.11n in Indoor and Outdoor Environments
    • Design and Deployment of a Worldwide Interoperability for Microwave Access (WiMAX) Test bed
    Grants and Awards

    Research Grants

    • Street Light Power Management System, AU$50,000 from Government of Pakistan
    • Long-range, Ultra-wideband Sensor Test bed of Passive RF Sensors, AU$30,000 from Agilent Technologies, Pakistan
    • Forensic Investigation of Remnant Data on USB Storage Devices Sold in New Zealand, AU$6000, Whitireia Community Polytechnic, Auckland, New Zealand

    Awards

    • Research Star Award for best researcher in the Faculty of Information Technology (IT) at Whitireia Community Polytechnic, Auckland, New Zealand.
    • Faculty Development Program Fellowship by National University of Sciences and Technology (NUST), Pakistan to pursue doctorate (PhD) studies at the University of New South Wales (UNSW), Sydney, Australia.
    • Recipient of National ICT Australia (NICTA) research scholarship.
    Publications

    Book Chapters

    • Mirza, M. A., Khurshid, K., Shah, Z., Shah, F., Levula, A., & Klašnja-Milićević, A. (2022). Impact of Lesson Planning on Students’ Achievement Using Learner Profile System. In Handbook on Intelligent Techniques in the Educational Process (pp. 121-143). Springer International Publishing.
    • Mirza, M. A., Khurshid, K., Hasan, A., Shah, Z. (2022). Correlating Universal Design of Learning and the Performance in Science at Elementary School Level. In Handbook on Intelligent Techniques in the Educational Process (pp. 269-298). Springer International Publishing.

    Peer Reviewed Journal Papers

    • Shah, Z., Kennedy-Clark, S., Xie, Y., Rahim, M.S., Mahdavi, M. & Levula, A. (2022). Teacher Views on Teaching Sustainability in Higher Education Institutes in Australia. Sustainability, 14, 8431.
    • Mirza, M.A., Khurshid, K., Shah, Z., Ullah, I.& Binbusayyis, A. (2022). ILS Validity Analysis for Secondary Grade through Factor Analysis and Internal Consistency Reliability. Sustainability,14, 7950.
    • Shah, Z., Kyaw, A., Truong, H.P., Ullah, I.& Levula, A. (2022). Forensic Investigation of Remnant Data on USB Storage Devices Sold in New Zealand. Applied Science,12, 5928.
    • Shah, Z., Ullah, I., Li, H.,Levula, A. & Khurshid, K. (2022). Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey. Sensors, 22, 1094.
    • Khurshid, K., Ullah, I., Shah, Z., Hassan, N., & Ahanger, T. A. (2021). Protocols for Transferring Bulk Data Over Internet: Current Solutions and Future Challenges. IEEE Access, 9, 95228-95249.
    • Virdi, C., Shah, Z., Ullah, I. & Levula, A. (2021). Capacity Analysis of Internet Protocol Television (IPTV) over IEEE 802.11ac Wireless Local Area Networks (WLANs). International Journal of Computer Science and Network Security.
    • Shah, Z., Levula, A., Khurshid, K., Ahmed, J., Ullah, I., & Singh, S. (2021). Routing Protocols for Mobile Internet of Things (IoT): A Survey on Challenges and Solutions. Electronics, 10(19), 2320.
    • Shah, Z., & Cosgrove, S. (2019). Mitigating ARP Cache Poisoning Attack in Software-Defined Networking (SDN): A Survey. Electronics, 8(10), 1095.
    • Shah, Z. (2018). Mitigating TCP Incast Issue in Cloud Data Centres using Software-Defined Networking (SDN): A Survey. KSII Transactions on Internet and Information Systems, 12(11), 5179-5202.
    • Sabeil, E., & Shah, Z. (2018). Impact of Beamforming and Interference on the Average Throughput of IEEE 802.11 ac in a Typical Home Environment. International Journal of Computer Science and Network Security, 18(11), 1-9.
    • Shah, Z., & Kolhe, A. (2017). Throughput Analysis of IEEE 802.11ac and IEEE 802.11n in a Residential Home Environment. International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 9(1), 1-13.
    • Ullah, I., Shah, Z., & Baig, A. (2016). S-TFRC: An Efficient Rate Control Scheme for Multimedia Handovers. International Journal of Computer Science and Information Systems (COMSIS), 13(1), 45-69.
    • Shah, Z., Kolhe, A. & Mubarak, O. (2016). IEEE 802.11ac VS IEEE 802.11n. Throughput Comparison in Multiple Indoor Environments. International Journal of Computer Science and Information Security (IJCSIS), 14(4), 94-101.
    • Saleh, S., Shah, Z. & Baig, A. (2015). Improving QoS of IPTV and VoIP over IEEE 802.11n. Elsevier Journal of Computers and Electrical Engineering, 43, 92-111.

    Peer Reviewed Conference Papers

    • Shah, Z., & Kolhe, A. (2016). IEEE 802.11ac VS IEEE 802.11n. Throughput Comparison in Multiple Indoor Environments. In Wireless Telecommunication Symposium (WTS), London, UK.
    • Shah, Z., & Cosgrove, S. (2015). Comparison of IEEE 802.11ac and IEEE 802.11n. Proceedings of the Weltec Whitireia joint Research Symposium, Wellington, New Zealand.
    • Shah, Z., Suleman, A., Baig, A., & Ullah, I. (2014). Effect of Transmission Opportunity and Frame Aggregation on VoIP Capacity over IEEE 802.11n WLANs. Proceedings of IEEE International Conference on Signal Processing and Communication Systems, Gold Coast, Australia.
    • Shah, Z., Rau, S., & Dawood, S. (2014). Reliable Data Transfer using TCP in Cloud Computing Environment. Proceedings of the Weltec Whitireia joint Research Symposium, Wellington, New Zealand.
    • Varghese, G. & Shah, Z. (2014). Transport Layer Protocols for VoIP over WiFi Networks. Proceedings of Whitireia Auckland Research Symposium, Auckland, New Zealand.
    • Shah, Z., Baig, T., & Baig, A. (2013). AVHRC: A Scheme to Improve QoS for VoIP traffic. Proceedings of IEEE Australasian Telecommunication Networks and Applications Conference, Christchurch, New Zealand.
    • Saleh, S., Shah, Z., & Baig, A. (2013). Capacity Analysis of Combined IPTV and VoIP over IEEE 802.11n. Proceedings of IEEE Local Computer Networks Conference, Sydney, Australia.
    • Shah, Z., Ilyas, U., & Khaliq, H. (2013). Evaluating Spectrum Occupancy in Islamabad using Long-range Ultra-wideband Spectrum Sensors. Proceedings of IEEE Vehicular Technology Conference, Las Vegas, USA.
    • Zeeshan, M., Sattar, K., Shah, Z., & Ullah, I. (2013). Routing and Spectrum Decision in Single Transceiver Cognitive Radio Networks. Proceedings of IEEE Vehicular Technology Conference, Las Vegas, USA.
    • Saleh, S., Shah, Z., & Baig, A. (2013). IPTV Capacity Analysis using DCCP over IEEE802.11n. Proceedings of IEEE Vehicular Technology Conference, Las Vegas, USA.
    • Shah, Z., Baig, A., & Ullah, I. (2012). “State Aware Enhancement in DCCP for Multimedia Handovers” in IEEE Global Telecommunications Conference (GLOBECOM), Anaheim, USA.
    • Ullah, I., Shah, Z., & Baig, A. (2011). “VoIP and Tracking Capacity over WiFi Networks”, in IEEE Vehicular Technology Conference (VTC), Budapest, Hungary.
    • Shah, Z., & Malaney. R. (2007). “An Architecture for Location Tracking using SIP,’’ in IEEE Global Telecommunications Conference (GLOBECOM), Washington DC, USA.
    • Shah, Z., & Malaney, R. (2007). “Reliability Issues in a SIP Based Location Tracking Architecture”, in IEEE International Conference on Wireless Broadband and Ultra-Wideband Communications (AusWireless), Sydney, Australia.
    • Shah, Z., & Malaney, R. (2007). “Experimental Deployment of Particle Filters in WiFi Networks”, in IEEE International Conference on Communications (ICC), Glasgow, UK.
    • Shah, Z., & Malaney, R. (2006). “Particle Filters and Position Tracking in WiFi Networks”, in IEEE Vehicular Technology Conference (VTC), Melbourne, Australia.
  • Dr. Saman Shojae Chaeikar

    Dr.

    Saman Shojae Chaeikar

    PhD MSCS BSCE

    Course Coordinator – Master of Information Technology. Chair of Scholarship and Research

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    Dr. Saman Shojae Chaeikar received Master’s and Ph.D. degrees in information security from the University of Technology Malaysia, in 2010 and 2016, respectively. In 2017, he received a postdoctoral fellowship at Iran’s National Elites Foundation hosted at Toosi University of Technology. In 2021, he did his second postdoctoral fellowship at Macquarie University, Sydney, Australia. His research interests include multimedia security, security of autonomous vehicles, cryptography, and application of AI/ML in cybersecurity.

    Academic Profiles

    LinkedIn (click)

    ORCID: https://orcid.org/0000-0002-2958-6901

    Google Scholar (click)

    Academic Qualifications

    • Postdoc: Macquarie University, Sydney, Australia, May 2021 – Nov 2021, Area: Security of Autonomous Vehicles.
    • Postdoc: K. N. Toosi University of Technology, Tehran, Iran, Apr 2017 – Apr 2018, Area: Multimedia Security.
    • Ph.D.: Computer Science, University of Technology Malaysia, Kuala Lumpur, Malaysia, Mar 2011 – Apr 2016, Area: Multimedia Security.
    • Master: Computer Science, University of Technology Malaysia, Kuala Lumpur, Malaysia, Dec 2008 – Apr 2010, Area: Cryptography.

    Teaching Areas

    • Ethical Hacking
    • Digital Forensics
    • Information and Network Security
    • Cryptography
    • Artificial Intelligence
    • Cyber Operations
    • Organisational Security
    • Computer Networks

    Scholarship and Research Areas

    • Multimedia Security
    • Application of AI/ML in Cybersecurity
    • Security of Autonomous Vehicles
    • Cryptography

    Grants and Awards

    Awards

    • Best paper award. Social Engineering and Cybersecurity: A Review on Recent Advances in Attack Landscape and Mitigation Strategies. In 10th International Conference on Micro-Electronics, Electromagnetics and Telecommunications (ICMEET-2025). London, UK
    • Teaching Recognition Award, Monash University, June 2025.
    • Teaching Excellence Award, Monash University, June 2024.
    • Teaching Recognition Award, Monash University, June 2023.
    • 1st Runner Up Award, International Workshop on AI-Enabled Policing and Law Enforcement, IEEE EDOC conference, October 25th -26th 2021, Gold Coast, Australia.
    • Best presentation award, the 10th International Conference on Computer Modeling and Simulation, January 8th-10th 2018, Sydney, Australia.

    Grants

    • A Watermarking Tool for e-Passport Protection, University of Technology Malaysia, Kuala Lumpur, Malaysia, Jan-Jul 2013, fund value: 7,500 AUD.
    • Pixel Similarity Weight (PSW) for supervised information extraction, funded by Iran’s National Elites Foundation and hosted at K. N. Toosi University of Technology, Tehran, Iran, April 2017, fund value: 35,000 AUD.

    Publication

    Peer Reviewed Journal Papers

    • Khanian Najafabadi M, Chen J, Shojae Chaeikar S, Rezazadeh J, A survey and illustrative example of hybrid semantic and contextual models for improving diversity and accuracy in personalized tag recommendation. Computer Science Review, 61, 2026.
    • Farshid Keivanian F, Hu Y, Shojae Chaeikar S, Blockchain-Enabled Governance for Health IoT Data Access via Interpretable Multi-Objective Optimization and Bargaining Under Privacy–Latency–Robustness Trade-Offs. Special issue: Blockchain-Enabled Management Systems in Health IoT. Electronics. 2026.
    • Khanian Najafabadi M, Kritharides K, Choi C, Shojae Chaeikar S, Salarian H, Bridging the Implementation Gap in AI-Powered Personalized Education, AI.  7 (2), 41.
    • Karamizadeh S, Shojae Chaeikar S, Salarian H, Combining MTCNN and Enhanced FaceNet with Adaptive Feature Fusion for Robust Face Recognition. Technologies, 13 (10), 450, 2025.
    • Karamizadeh S, Shojae Chaeikar S, Khanian Najafabadi M, Enhancing Facial Recognition and Expression Analysis with Unified Zero-Shot and Deep Learning Techniques. IEEE Access. 13, pp. 43508-43519, 2025.
    • Khanian Najafabadi M, Zar Chi Ko T, Shojae Chaeikar S, Shabani N, AMulti-Level Embedding Framework for Decoding Sarcasm Using Context, Emotion, and Sentiment Feature. Electronics. 13(22), pp. 1-24, 2024.
    • Yazdanpanah S, Shojae Chaeikar S, Securing SMS Communications Based on Users’ Private Messages on Social Networks. Journal of Soft Computing and Information Technology (JSCIT). 13(1), pp. 52-64, 2024.
    • Shojae Chaeikar S, Mirzaei Asl F, Yazdanpanah S, Zamani M, Abdul Manaf A, Khodadadi T, Secure CAPTCHA by Genetic Algorithm (GA) and Multi-Layer Perceptron (MLP). Electronics, 2023: 12(19).
    • Tavakolifar R, Shahabi H, Alizadeh M, Bateni SM, Hashim M, Shirzadi A, Ariffin EH, Wolf ID, Shojae Chaeikar S, Spatial Prediction of Landslide using Hybrid Multi-Criteria Decision-Making Methods: A Case Study, Saqqez-Marivan Mountain Road. Land, 2023: 12.
    • Shojae Chaeikar S, Jolfaei A, Mohammad N. AI-enabled cryptographic key management model for securing communications in the Internet of Vehicles, IEEE Transactions on Intelligent Transportation Systems, 2023: 24(4), 4589-4598.
    • Yazdanpanah S, Shojae Chaeikar S, Jolfaei A. Monitoring the security of audio biomedical signals communications in wearable IoT healthcare. Digital Communications and Networks, 2023: 9, 393-399.
    • Deng N, Li Y, Ma J, Shahabi H, De Oliveira G, Shojae Chaeikar S. A Comparative Study for Landslide Susceptibility Assessment Using Machine Learning Algorithms Based on Grid Unit and Slope Unit. Frontiers in Environmental Science, 2022.
    • Karamizadeh S, Shojae Chaeikar S, Jolfaei A. Adult Content Image Recognition by Boltzmann Machine Limited and Deep Learning. Evolutionary Intelligence, 2022.
    • Shojae Chaeikar S, Ahmadi A, Karamizadeh S, Shoja Chaeikar N. SIKM – an intelligent cryptographic key management framework. Open Computer Science, 2022: 12(1), 17-26.
    • Shojae Chaeikar S, Tadayon M H, Jolfaei A, Alizadeh M. An intelligent cryptographic key management model for secure communications in distributed industrial intelligent systems. International Journal of Intelligent Systems. 2021: 37 (12), 10158-10171.
    • Shojae Chaeikar S, Yazdanpanah S, Shoja Chaeikar N. Secure SMS transmission based on social network messages. International Journal of Internet Technology and Secured Transactions. 2021: 11(2):176-92.
    • Shojae Chaeikar S, Manaf AA, Alarood AA, Zamani M. PFW: polygonal fuzzy weighted – an SVM kernel for the classification of overlapping data groups. Electronics. 2020: 9, 615.
    • Shojae Chaeikar S, Ahmadi A. Ensemble SW image steganalysis: a low dimension method for LSBR detection. Signal Processing: Image Communication. 2019:70: 233-245.
    • Shojae Chaeikar S, Zamani M, Manaf AB, Zeki AM. PSW statistical LSB image steganalysis. Multimedia Tools and Applications. 2018:77(1):805-835.
    • Yazdanpanah S, Shojae Chaeikar S. Secure SMS Method Based on Social Networks. International Journal of Scientific Research in Science, Engineering and Technology. 2016: 2(6): 368-376.
    • Alizadeh M, Hassan WH, Zamani M, Khodadadi T, Shojae Chaeikar S. A prospective study of mobile cloud computing. International Journal of Advancements in Computing Technology. 2013;5(11):198-210.
    • Shojae Chaeikar S, Zamani M, Chukwuekezie CS, Alizadeh M. Electronic Voting Systems for European Union Countries. Journal of Next Generation Information Technology. 2013 Jul 1;4(5):16.
    • Mazdak Z, Azizah BA, Shahidan MA, Shojae Chaeikar S. Mazdak technique for PSNR estimation in audio steganography. Applied Mechanics and Materials. 2012:1(229): 2798-2803.
    • Shojae Chaeikar S, Jafari M, Taherdoost H, Kar NS. Definitions and criteria of CIA security triangle in electronic voting system. International Journal of Advanced Computer Science and Information Technology. 2012 Oct;1(1):14-24.
    • Yazdanpanah S, Shojae Chaeikar S. IKM-based Security Usability Enhancement Model. IRACST-International Journal of Computer Science and Information Technology & Security (IJCSITS). 2012 Aug(4).
    • Taherdoost H, Sahibuddin S, Namayandeh M, Jalaliyoon N, Kalantari A, Shojae Chaeikar S. Smart card adoption model: Social and ethical perspectives. Science. 2012 Aug;3(4).
    • Zamani M, Abdul Manaf AB, Zeidanloo HR, Shojae Chaeikar S. Genetic substitution-based audio steganography for high capacity applications. International Journal of Internet Technology and Secured Transactions. 2011 Jan 1;3(1):97-110.
    • Zeidanloo HR, Manaf AB, Ahmad RB, Zamani M, Shojae Chaeikar S. A proposed framework for P2P Botnet detection. International Journal of Engineering and Technology. 2010 Apr 1;2(2):161.
    • Manaf AB, Zamani M, Ahmad RB, Jaryani F, Taherdoost H, Shojae Chaeikar S, Zeidanloo HR. Genetic Audio Steganography. International J. of Recent Trends in Engineering and Technology. 2010 May;3(2).
    • Zamani M, Manaf AA, Ahmad R, Jaryani F, Taherdoost H, Shojae Chaeikar S, Zeidanloo HR. A novel approach for genetic audio watermarking. Journal of Information Assurance and Security. 2010;5:102-11.

    Peer Reviewed Conference Papers

    • Sharma K K, Bista S, Nyamagwa D M, Salarian H, Shojae Chaeikar S. Analysis of Recent AI-based Tools and Techniques for Ethical Hacking and Penetration Testing. 4th International Conference on Intelligent Computing and Next Generation Networks (ICNGN 2025). IEEE. 2025, 12-14 Dec.
    • Paneru P, Bista M, Himanshu, Hasibul Islam M, Salarian H, Shojae Chaeikar S. A Short Review on Deep Image Steganography. In 4th International Conference on Intelligent Computing and Next Generation Networks (ICNGN 2025). IEEE. 2025, 12-14 Dec.
    • Bandhapaday P C, Jahirul Islam M, Saifuddin M, Ismail L, Salarian H, Shojae Chaeikar S. Recent Advancements in Automated Penetration Testing Tools for Web Application Security. In The Second International Symposium on Parallel Computing and Distributed Systems (PCDS 2025). IEEE. 2025, 11-13 Dec.
    • Negi T, Rubi R, Shallu S, Devi A, Salarian H, Shojae Chaeikar S. Application of Cryptography in Privacy-Preserving Machine Learning. In The Second International Symposium on Parallel Computing and Distributed Systems (PCDS 2025). IEEE. 2025, 11-13 Dec.
    • Baidya S, Mahmud S, Kabeer F, Azizur M, Naeem B, Shojae Chaeikar S, Salarian H. Social Engineering and Cybersecurity: A Review on Recent Advances in Attack Landscape and Mitigation Strategies. In 10th International Conference on Micro-Electronics, Electromagnetics and Telecommunications (ICMEET-2025). 2025, 30-31 October.
    • Zamani M., Motamedi A., Shankar A., Khodadadi T., Abdul Manaf A., Karamizadeh, S., Alizadeh M., and Shojae Cheaikar S. Scholarly publication transformation by artificial intelligence. In The International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2025). IEEE. https:// 10.1109/ACDSA65407.2025.11166422. 2025. 7–9 August.
    • Zamani M., Motamedi A., Karamizadeh S., Khodadadi T., Alizadeh M., and Shojae Cheaikar S. Artificial intelligence for promoting equity, diversity, and inclusion. In The International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2025). IEEE. https:// 10.1109/ACDSA65407.2025.11166379. 2025, 7–9 August.
    • Adhikari M, Gautam D, Kaur P, Vaghela D, Shojae Chaeikar S, Khanian Najafabadi M. Exploring the Evolution of Identity Theft: Emerging Trends, Tactics, and Mitigation Strategies in the Digital Age. In 10th International Congress on Information and Communication Technology (ICICT 2025). 2025, Feb 18-21.
    • Dangol K, Kothandapani S, Mahat R, Shweta, Roohi A, and Shojae Chaeikar S. A Review on API Security Risk and Vulnerability Assessment. In IEEE Consumer Life Tech Conference (ICLT 2024), 2024, Dec 11-13.
    • Khadka S, Singh R, Begum M, Muhammad O, Naeem B, and Shojae Chaeikar S. A Review on Computer Crimes and Digital Forensics. In IEEE Consumer Life Tech Conference (ICLT 2024), 2024, Dec 11-13.
    • Kaur H, Balpreet, Anu, Kaur H, Shinee, and Shojae Chaeikar S. A Study on Cyber Security Laws and Regulations in Australia. In IEEE Consumer Life Tech Conference (ICLT 2024), 2024, Dec 11-13.
    • Jaiswal A, Basnet B K, Ghimire P, Palle P R, Sukhvinder, and Shojae Chaeikar S. Balancing Act: Navigating Privacy and Security in the Cookie-Enabled Web. In IEEE Consumer Life Tech Conference (ICLT 2024), 2024, Dec 11-13.
    • Patel J J, Kankroliya S, Ashu, Naeem B, Khanian Najafabadi M, and Shojae Chaeikar S. Navigating the Future of Ethical Hacking and Penetration Testing. In IEEE Consumer Life Tech Conference (ICLT 2024), 2024, Dec 11-13.
    • Fatima M, Banu R, Shojae Chaeikar S, Khanian Najafabadi M. Biometric Systems in Focus: A Review of Methods, Challenges, and Future Directions. In 3rd International Conference on Intelligent Computing and Next Generation Networks (ICNGN 2024). 2024, November 23-25.
    • Khodadadi T, Zamani M, Shojae Chaeikar S, Javadianasl Y, Talebkhah M, and Alizadeh M. Exploring the benefits and drawbacks of machine learning in cybersecurity to strengthen cybersecurity defences. 30th Annual IEEE Software Technology Conference (STC 2023), 2023 Sep 25-27.
    • Arab F, Zamani M, Karamizadeh S, Khodadadi T, Alizadeh M, and Shojae Chaeikar S. Comparison of Data Hiding Techniques for Video Watermarking Applications. 2022 The 7th International Conference on Computer and Communication Systems, 2022 April 22-25.
    • Khodadadi T, Javadianasl Y, Rabiei F, Alizadeh M, Zamani M, Shojae Chaeikar S. A Novel Graphical Password Authentication Scheme with Improved Usability. In 2021 4th International Symposium on Advanced Electrical and Communication Technologies (ISAECT), 2021, pp. 01-04, doi: 10.1109/ISAECT53699.2021.9668599.
    • Chaeikar SS, Jolfaei A, Mohammad N, Ostovari P. Security Principles and Challenges in Electronic Voting. In2021 IEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW) 2021 Oct 25 (pp. 38-45). IEEE.
    • Shojae Chaeikar S, Ahmadi A. SW: a blind LSBR image steganalysis technique. In the 10thInternational Conference on Computer Modeling and Simulation2018 Jan 8 (pp. 14-18). ACM.
    • Zamani M, Manaf AB, Abdullah SM, Shojae Chaeikar S. Correlation between PSNR and bit per sample rate in audio steganography. In11thInternational Conference on Signal Processing 2012 Apr 2 (pp. 163-8).
    • Yazdanpanah S, Shojae Chaeikar S, Zamani M, Kourdi R. Security features comparison of master key and IKM cryptographic key management for researchers and developers. In International Conference on Software Technology and Engineering, 3rd(ICSTE 2011) 2011. ASME Press.
    • Shojae Chaeikar S, Moghaddam HS, Zeidanloo HR. Node Based Interpretative Key Management Framework. In Security and Management 2010 (pp. 204-210).
    • Shojae Chaeikar S, Razak SA, Honarbakhsh S, Zeidanloo HR, Zamani M, Jaryani F. Interpretative key management (IKM), a novel framework. In 2010 Second International Conference on Computer Research and Development, 2010 May 7 (pp. 265-269). IEEE.
    • Zamani M, Manaf AB, Ahmad RB, Jaryani F, Shojae Chaeikar S, Zeidanloo HR. Genetic audio watermarking. In International Conference on Business Administration and Information Processing, 2010 Mar 26 (pp. 514-517). Springer, Berlin, Heidelberg.

    Book Chapters

    • Shojae Chaeikar S, Manaf AB, Zamani M. Comparative analysis of Master-key and Interpretative Key Management (IKM) frameworks. In Cryptography and Security in Computing 2012. InTech.

    Membership

    • Australian Computer Society (ACS).
    • Iran’s National Elites Foundation.

    Professional Academic Activities

    Journal Editor

    • Electronics, Guest editor of special issue on: Advanced Face Recognition Technology in Computer Vision, MDPI, Oct 2025 – May 2026.
    • Digital, Guest editor of special issue on: Intelligent and Autonomous Cyber Defense Systems, MDPI, April – Dec 2026.
    • Journal of Computer Networks and Communications, Guest editor of special issue on: Security Solutions for IoT and Cyber-Physical Systems, Hindawi, April 2021.
    • Journal of Next Generation Information Technology, Convergence Information Society (CIS), South Korea, 2019.
    • Journal of Computer Networks and Communications, Guest editor of special issue on: Advances in Machine Learning for Cybersecurity, Hindawi, Oct 2019.

    Journal Reviewer

    • IEEE Transactions on Industrial Informatics
    • IEEE Systems Journal
    • IEEE Internet of Things Journal
    • Computers and Electrical Engineering
    • Multimedia Tools and Applications
    • Signal Processing
    • Digital Communications and Networks
    • Journal of Ambient Intelligence and Humanized Computing
    • Neurocomputing
    • Journal of Circuits, Systems, and Computers
    • Computers
    • Future Internet
    • Electronics
    • Sensors
    • Applied Science
    • Systems
    • Big Data and Cognitive Computing
    • Mathematical and Computational Applications
    • Cryptography

    Conference Technical Program Committee

    2026

    • The 18th International Conference on Management of Digital Ecosystems [MEDES2026], 23 Nov 2026, Coruña, Spain.
    • 30th International Conference on Knowledge Based and Intelligent information and Engineering Systems [KES2026], 9–11 Sep 2026, Dublin, Ireland.
    • Human Factors in Cybersecurity, 17th International Conference on Applied Human Factors and Ergonomics [AHFE2026], 20–24 July 2026, Istanbul, Turkey.
    • 1st Workshop on Applied AI and Multimodal Visualization Technologies, The ACM Web Conference 2026 [WWW2026], 13–17 April 2026, Dubai, United Arab Emirates.

    2025

    •  29th International Conference on Knowledge Based and Intelligent information and Engineering Systems [KES-2025], 10–12 September 2025, Osaka, Japan.
    • Optimization of Electrical and Electronic Equipment (OPTIM), Aegean Conference on Electrical Machines and Power Electronics (ACEMP) [OPTIM-ACEMP-2025], 15–17 May 2025, Timisoara, Romania.
    • 17th Asian Conference on Intelligent Information and Database Systems [ACIIDS 2025], 23–25 April 2025, Kitakyushu, Japan.
    • Human Factors in Cybersecurity, 16th International Conference on Applied Human Factors and Ergonomics [AHFE2025], 26–30 July 2025, Orlando, Florida, USA.
    • 22nd Annual International Conference on Privacy, Security, and Trust [PST2025], 26–28 August 2025, Fredericton, Canada.

    2024

    • Human Factors in Cybersecurity, 15th International Conference on Applied Human Factors and Ergonomics [AHFE 2024], 22-27 July 2024, Université Côte d’Azur, Nice, France.
    • 3rd EAI International Conference on Smart Technologies and Innovation Management [EAI MTYMEX 2024], 28-29 March 2024, Vancouver, Canada.
    • Smart Technologies and Information Systems, 16th Asian Conference on Intelligent Information and Database Systems [ACIIDS 2024], 15–18 April 2024, Ras Al Khaimah, UAE.
    • 3rd EAI International Conference on Smart Technologies and Innovation Management [EAI MTYMEX 2024], 28–29 March 2024, Vancouver, Canada.

    2023

    • 6th International Conference on Networking and Advanced Systems [ICNAS23], 21-23 October 2023, Algeria.
    • The 2023 International Conference on Cybersecurity [ICC2023], 16-18 June 2023, Manhattan, New York, USA.
    • The 2nd International Conference on Artificial Intelligence and Blockchain Technology [AIBT2023], 13-15 Jan 2023, Zibo, Shandong, China.

    2022

    • PC member of Track 5: Security, Privacy, Trust, and Incentives, The 31st International Conference on Computer Communications and Networks [ICCCN 2022], 25 – 28 July 2022, Waikiki Beach, Honolulu, HI, USA.
    • The 2022 International Conference on Internet Engineering and Information Technology [IEIT2022], 20-21 May 2022, Wuhan, China.
    • The 2nd International Conference on Artificial Intelligence and Blockchain Technology [ABIT2022], 25-27 Nov 2022, Zibo, Shandong, China.
    • The 2021 International Conference on Internet Engineering and Information Technology [IEIT2021], 10-12 March 2022, Wuhan, China.

    2021

    • International Conference on Artificial Intelligence and Blockchain Technology [ABIT2021], 25-27 June 2021, Beijing, China.
    • 2021 3rd International Conference on Soft Computing and its Engineering Applications [icSoftComp2021], 11-12 December 2021, Charusat, Changa, India.
    • 4th International Conference on Recent Trends in Multidisciplinary Research [ICRTMDR2021], 26-27 December 2021, Maldives.
    • 2021 Global Congress on Electrical Engineering [GC-ElecEng 2021], 3-5 September 2021, Valencia, Spain.
    • International Conference on Artificial Intelligence and Applications [ICAIA], 15-17 October 2021, Suzhou, Jiangsu, China.
    • 2nd International Workshop on AI-enabled Process Automation – [ICSOC] Conference, 22–25 November 2021, Dubai, UAE.

    2020

    • Global 2020 Congress on Networking and Communications, 1st International Conference on Multimedia Systems, Networks and Technologies [MIC-Multimedia 2020], 6-8 March 2020, Athens, Greece.
    • Global 2020 Congress on Engineering Sciences, Technologies and Applications [GC-Engineering 2020], 1st International Conference on Computer Science and Engineering (MIC-Computing 2020), January 17-19 2020, Dubai, UAE.
    • Global 2020 Congress on Electrical Engineering [GC-ElecEng 2020], 4-5 September 2020, Valencia, Spain.
    • The 9th International Conference on Intelligent Computing and Applications [ICICA2020], February 26-28, 2020, Brisbane, Australia.
    • Global 2020 Congress on Communications and Computing Technologies (GC-Technology 2020), 1st International Conference on Information Technologies and Information Systems [MIC-InfoTech 2020], 9-11 October 2020, Porto, Portugal.
    • International Conference on Artificial Intelligence and Blockchain Technology [ABIT2020], 31 July – 2 August 2020, Beijing, China.
    • 2nd International Conference on Advancing Knowledge from Multidisciplinary Perspectives in Engineering & Technology [ICAKMPET2020], June 24 – 25 2020, Istanbul, Turkey.
    • 2020 2nd International Conference on Soft Computing and its Engineering Applications [icSoftComp2020], 11-12 December 2020, Charusat, Changa, India.
    • 8th Annual International Conference on Geo-Spatial Knowledge and Intelligence [GSKI2020], 18-19 December 2020, Xián, Shaanxi, China.
    • International Conference on Data Science and Machine Learning [DSML2020], 24-25 October 2020, Dubai, UAE.
    • International Conference on Recent Challenges in Engineering and Technology [ICRCET2020], 30-31 October 2020, Virtual.
    • 3rd International Conference on Recent Trends in Multidisciplinary Research [ICRTMDR2020], 26-27 December 2020, Maldives.

    2019

    • The 9th Annual International Congress of Information and Communication Technology [ICICT2019], January 11-13, 2019, Nanning, Guangxi, China.
    • The 1st International Conference on Computer Science and Engineering [MIC-Computing 2019], January 18-20, 2019, Dubai, UAE.
    • The 8th International Conference on Intelligent Computing and Applications [ICICA2019], January 16-19, 2019, Melbourne, Australia.
    • 1st International Conference on Electrical, Biomedical and Nuclear Engineering Technologies [ElectriTek2019], 15-17 September 2019, Irbid, Jordan.
    • The 11thInternational Conference on Computer Modeling and Simulation [ICCMS2019], 16-19 January 2019, Melbourne, Australia.
    • Global 2019 Congress on Electrical Engineering, 2nd International Conference on Digital Signal Processing, MIC-SigProc 2019 Technical Program Committee (TPC), 18-20 October 2019, Barcelona, Spain.

    2018

    • The 10thInternational Conference on Computer Modeling and Simulation [ICCMS2018], 8-10 January 2018, Sydney, Australia.
    • The International Conference on Network Engineering and Information Security [NEIS2018], April 20-22 2018, Wuhan, China.
    • 4th Annual International Conference on Management, Economics and Social Development [ICMESD2018], May 18-20, 2018, Xi’an, Shaanxi, China.
    • 1stInternational Conference on Multimedia Systems, Networks and Technologies [MIC-Multimedia2018], September 28-30 2018, Barcelona, Spain.
    • 6th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence [GSKI2018], October26-28, 2018, Beijing, China.
    • 2018 5th International Conference on Wireless Communication and Sensor Network [WCSN2018], December 14-16, 2018, Wuhan, Hubei, China.
    • 2018 2nd International Conference on Advanced Education and Management Science [AEMS2018], December 22-23, 2018, Shanghai, China.

    2017

    • 2ndAnnual International Conference on Information System and Artificial Intelligence [ISAI2017], July 14-16, 2017, Tianjin, China.
    • The international conference on Artificial Intelligence and Computer Engineering [AICE2017], June 23-25, 2017, Suzhou, China.
    • 3rdAnnual International Workshop on Wireless Communication and Network [IWWCN2017], December 8-10, 2017, Chiang Mai, Thailand.
    • International Conference on Computer Engineering and Information System [CEIS2017], October 20-22 2017, Xiamen, China.
    • 5thAnnual 2017 International Conference on Geo-Spatial Knowledge and Intelligence [GSKI2017], December 8-10, 2017, Chiang Mai, Thailand.
    • 2017 2ndInternational Conference on Computer, Mechatronics and Electronic Engineering [CMEE2017], December 24-25, 2017, Xiamen, China.
    • Japan-Africa Conference on Electronics, Communications, and Computers [JAC-ECC2017], December 18-20, 2017, Alexandria, Egypt.

    Book Technical Committee

    • Adversarial Multimedia Forensics. Editors: Ehsan Nowroozi, Alireza Jolfaei, Kassem Kallas. Springer, 2023.
    • Multimedia Forensics and Security, subtitle: Foundations, Innovations, and Applications. Editors: Ella Hassanien, A., Mostafa Fouad, M., Manaf, A.A., Zamani, M., Ahmad, R., Kacprzyk, J. (Eds.). ISBN: 978-3-319-44270-9, Hardcover ISBN: 978-3-319-44268-6, DOI: 10.1007/978-3-319-44270-9, Springer, 2017.

    Conference Steering Committee

    • Global 2020 Congress on Computer Engineering (GC-CompEng 2020), 14th-16th August 2020, Athens, Greece.
    • Global 2019 Congress on Computer Engineering (GC-CompEng 2019), 16th-18th August 2019, Athens, Greece.

    Conference Track Chair

    • Signal, Image and Speech Processing (SISP) track, 1stInternational Conference on Electrical, Biomedical and Nuclear Engineering Technologies (ElectriTek 2019), 15st-17th September 2019, Irbid, Jordan.

    Conference Session Chair

    • 10th International Conference on Information and Communication Technology [ICICT2025], London, UK, 18-21 Feb 2025.
    • International conference on Informatics Engineering & Information Science [ICIEIS 2011], Springer, Kuala Lumpur, Malaysia, 2011.

    Keynote Speech

    • VIT – International Virtual Conference on “Current Trends in Artificial Intelligence and Information Security” on 18th October 2019.

    Invited Talk

    • Recent Trends in Information Security and its Policies. VIT University, India, 17th October 2019.

    Technical Committee of Iran’s National Information Security Standards

    Information technology – Security techniques – Cryptographic techniques based on elliptic curves – Part 5: Elliptic curve generation. (INSO 21122-3 1st edition 2018 – identical with ISO/IEC 15946-5: 2017).

    Video surveillance systems for use in security applications – Part 1-1: System requirements – General. (INSO 21122-1-1, 1st edition 2018 – identical with IEC 62676-1-1:2013).

    Video surveillance systems for use in security applications – System requirements – Part 1-2: Performance requirements for video transmission. (INSO 21122-1-2, 1st edition 2018 – identical with IEC 62676-1-2:2013).

    Video surveillance systems for use in security applications – Part 2-1: Video transmission protocols – General requirements. (INSO 21122-2-1 1st edition 2018 – identical with IEC 62676-2-1:2013).

    Video surveillance systems for use in security applications – Part 3: Analog and digital video interfaces. (INSO 21122-3 1st edition 2018 – identical with IEC 62676-3:2013).

    Identification cards – ICC-managed devices – Part 1: General framework. (INSO 21122-3 1st edition 2018 – identical with ISO/IEC 18328-1: 2015).

    Identification cards – ICC-managed devices – Part 2: Physical characteristics and test methods for cards with devices. (INSO 21122-3 1st edition 2018 – identical with ISO/IEC 18328-2: 2015).

    Identification cards – ICC-managed devices – Part 3: Organization, security and commands for interchange. (INSO 21122-3 1st edition 2018 – identical with ISO/IEC 18328-3: 2016).

    Information technology – Identification cards – Biometric System-on-Card – Part 3: Logical information interchange mechanism. (INSO 21122-3 1st edition 2018 – identical with ISO/IEC 17839-3: 2016).

  • Yeganeh baghi

    Dr.

    Yeganeh Baghi

    PhD Teaching Fellowship

    Course Coordinator – Bachelor of Information Technology

    Read more

    Dr. Yeganeh Baghi is an interdisciplinary educator and researcher specializing in innovative, sustainability-oriented technologies in the built environment. With a background in software engineering and mechatronics, she earned her Ph.D. at the University of Wollongong, Australia, where she also completed a teaching-focused postdoctoral fellowship.

    Her work focuses on sustainability-driven innovation in smart homes and advanced building technologies. As Innovation Coordinator and a member of the HVAC systems team, she played a key role in the development of the award-winning Desert Rose House—a net-positive energy smart home created for the Solar Decathlon Middle East. She currently lectures at the Sydney International School of Technology and Commerce (SISTC).

    A committed advocate for gender equity in engineering and technology, Dr. Baghi serves as a committee member of the Women’s Research Engineers Network (WREN). She regularly leads and contributes to STEM outreach, mentorship, and educational workshops that empower the next generation—particularly young women pursuing careers in STEM.

Full-time Academic Team

  • Ruwan Thushara

    Dr.

    Ruwan Nagahawatta

    PhD MIT BSc Hons CP

    Senior Lecturer

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    Dr Ruwan Nagahawatta is a Senior Lecturer in the Sydney International School of Technology and Commerce based in the Melbourne Campus, Australia. He was also a Research Fellow in Cyber Security at Commonwealth Scientific and Industrial Research Organisation (CSIRO) – Data61 Australia (2023-2024). Before joining CSIRO-Data61, Ruwan worked as a Cyber Security Researcher at The RMIT University Centre of Cyber Security Research and Innovation, working on a number of cyber security research projects (2021-2023). He also worked on “Visiting/Sessional” lecturing positions in Deakin University, RMIT University, and Monash University.

    Ruwan hold a PhD in Cyber Security from RMIT University, Australia, where he has primarily focused on the critical security and privacy factors influencing the adoption of cloud computing. He obtained a BSc Hons from University of Kelaniya and has completed a Master of Information Technology at the University of Colombo, Sri Lanka. Ruwan has received professional recognition as a Certified Professional from the Australian Computer Society.

    Ruwan’s research is interdisciplinary, and he has published numerous articles at the world’s leading conferences and high-impact journals. His research spans several areas in Cloud Computing Security and Privacy, Human-Centric Security, Gamification and IT Ethics. He has been serving on numerous information systems, cyber security and privacy conferences.

  • Mukter Zaman

    Dr.

    Mukter Zaman

    PhD Sr Member IEEE

    Senior Lecturer

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    Inventor of more than twenty patented technologies in the domains of quantum information, artificial intelligence, machine learning, and computer science, among others.

    Recipient of:

    • Best Invention Awards at the 30th International Invention, Innovation, & Technology Exhibition (ITEX), Kuala Lumpur, Malaysia, in 2019.
    • CIIE Gold Medal, 2022.
    • Gold Awards in ITEX 2019, 2014, and 2010.
    • Gold Awards in PECIPTA 2019 and 2017.
    • Malaysian Intellectual Property Awards 2009.
    • Malaysian Technology Expo (MTE) Innovative Product Award, 2018 (ITEX 2009).
    • Excellent Researcher Awards, Top Researcher, Multimedia University (MMU), 2019.
    • Champion in the Research Innovation Commercialization & Entrepreneurship Showcase (RICES) 2017.
    • Champion in the Institute of Engineers Malaysia-arranged Best Final Year Project Award (as supervisor).

    Education:

    • Doctor of Philosophy, 2013, UKM (National University of Malaysia), Bangi, Malaysia.
    • Master of Science in Engineering, 2008, Multimedia University, Cyberjaya, Malaysia.
    • Bachelor of Science in Computer Science and Engineering, 2003, Khulna University of Engineering and Technology, Khulna, Bangladesh.
  • Zakria qadir

    Dr.

    Zakria Qadir

    PhD

    Senior Lecturer

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    Dr. Zakria Qadir is an accomplished educator and researcher with expertise in autonomous systems, swarm intelligence, and AI-driven technologies for national security, disaster response, and sustainable development. He holds a Ph.D. in Computer Engineering from Western Sydney University, Australia, and has worked across three continents, contributing to high-impact research at institutions including the University of New South Wales (UNSW), Australia; Middle East Technical University, Turkey; and the University of Engineering and Technology, Pakistan.

    Dr. Qadir’s research spans distributed drone systems, path planning under constraints, intelligent multi-agent coordination, and energy-efficient UAV missions. He has led and contributed to several government-funded projects focused on AI-based trajectory optimisation, energy-efficient transportation, and resilient smart cities. His work has been recognised with numerous accolades, including a Gold Medal in his undergraduate studies, a Best Journal Paper Award, and inclusion in Stanford’s global Top 2% Scientists list.

    With over 40 publications and more than 1,800 citations, Dr. Qadir serves as a reviewer, editor, and conference chair for major venues in AI and engineering. He is a professional member of IEEE, Engineers Australia, and the ACS. He also held a postdoctoral research position at UNSW, where he furthered his contributions to ethical AI and intelligent systems for public safety. Dr. Qadir remains actively engaged in shaping the next generation of engineers and technologists through teaching, mentorship, and international research collaborations.

  • Soheila Gheisari

    Dr.

    Soheila Gheisari

    PhD (IT) MEng BEng

    Lecturer

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    Dr Soheila Gheisari completed her Ph.D. in Computer Science at the University of Technology Sydney (UTS) in 2019. During her doctoral studies, she gained practical experience as a data analyst through an internship at the Australian Bureau of Statistics (ABS), where she applied various statistical methods to analyze household survey data. Following the completion of her Ph.D., she served as a research fellow at UTS from 2019 to 2020. Additionally, she has been actively involved in teaching since July 2019, primarily at Victoria University. In her teaching role, she instructs a range of courses related to Information Technology (IT), with a particular focus on subjects related to data mining and machine learning. Her research interest includes machine learning, data science, computer vision, and AI in medicine.

    Experience
    • 2019–2023 Lecturer in College of Engineering and Science Victoria University, Sydney Campus
    • 2019–2020 Research Fellow School of Health, University of Technology Sydney
    • 2021–2022 Lecturer, School of Information Technology and Engineering, Melbourne Institute Technology
    Education
    • Ph.D.: Computer Science, University of Technology Sydney, 2015-2019, Thesis Title: Computer-Aided Diagnosis Systems in the Classification of Neuroblastoma Histological Images
    • Master: Engineering, Azad University, Tehran, Iran, 2003 – 2006
      Bachelor: Engineering, K. N. Toosi, Tehran, Iran, 1999-2003
    Teaching Experience
    • Data Warehousing and Mining
    • Data Analytics in Cybersecurity
    • Cybersecurity Law, Regulations and Policy
    • Mathematics for Data Analytics Mathematics for Computing
    • Introduction to Data Analytics
    • Advanced Data Analytics
    • Data Visualization
    • Contemporary Topics in IT
    • Programming Fundamentals Introduction to Research
    • Supervision
    • Master’s Capstone Projects and Research Theses
    Honors
    • 2022 Teaching Excellence Award, Victoria University
    • 2021 Teaching Excellence Award, Victoria University
    • 2018 Australian Postgraduate Research Internship from Australian Bureau of Statistics (ABS)
    Publication
    • S Gheisari, S Shariflou, J Phu, PJ Kennedy, A Agar, M Kalloniatis, A combined convolutional and recurrent neural network for enhanced glaucoma detection, Scientific reports 11 (1), 2021
      A Rafiei, A Rezaee, F Hajati, S Gheisari, M Golzan, SSP: Early prediction of sepsis using fully connected LSTM-CNN model, Computers in biology and medicine 128, 104110, 2021
    • F Hajati, A Rezaee, S Gheisari, Genetic algorithms for scheduling examinations,
      International Conference on Advanced Information Networking and Applications, 524-532, 2021
    • CJP Sopo, F Hajati, S Gheisari, DeFungi: Direct mycological examination of microscopic fungi images, CJP Sopo, arXiv preprint arXiv:2109.07322, 2021
    • S Gheisari, A Rezaee, F Hajati, Co-evolution Genetic Algorithm Approximation Technique for ROM-Less Digital Synthesizers, International Conference on Advanced Information Networking and Applications, 2021
    • S Gheisari, A Rezaee, F Hajati, Solving Job Scheduling Problem Using Genetic Algorithm, International Conference on Advanced Information Networking and Application, 2021
    • S Gheisari, M Golzan, J Phu, PJ Kennedy, A Agar, M Kalloniatis, A combined convolutional and recurrent neural network applied to fundus videos markedly enhances glaucoma detection, Investigative Ophthalmology & Visual Science 61 (9), 2020
    • F Hajati, A Cheraghian, O Ameri Sianaki, B Zeinali, S Gheisari, Polar Topographic Derivatives for 3D Face Recognition: Application to Internet of Things Security, Web, Artificial Intelligence and Network Applications: Proceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)
    • S Gheisari, DR Catchpoole, A Charlton, PJ Kennedy, Convolutional deep belief network with feature encoding for classification of neuroblastoma histological images, Journal of pathology informatics 9 (1), 17, 2018
    • S Gheisari, DR Catchpoole, A Charlton, Z Melegh, E Gradhand, Computer aided classification of neuroblastoma histological images using scale invariant feature transform with feature encoding, Diagnostics 8 (3), 56, 2018
    • F Hajati, M Tavakolian, S Gheisari, Y Gao, AS Mian, Dynamic texture comparison using derivative sparse representation: Application to video-based face recognition,
      IEEE Transactions on Human-Machine Systems 47 (6), 2017
    • F Hajati, A Cheraghian, S Gheisari, Y Gao, AS Mian, Surface geodesic pattern for 3D deformable texture matching, Pattern Recognition 62, 21-32, 2017
    • S Gheisari, D R. Catchpoole, A Charlton, P J. Kennedy, Patched Completed Local Binary Pattern is an Effective Method for Neuroblastoma Histological Image Classification, The 15th Australasian Data Mining Conference, 2017
    • S Gheisari, A Charlton, DR Catchpoole, PJ Kennedy, Computers can classify neuroblastic tumours from histopathological images using machine learning, Pathology 49, S72-S73, 2017
    • A Cheraghian, F Hajati, S Gheisari, Y Gao, 2.5 D Face Recognition Using Gabor Discrete Cosine Transform, International Journal of Computer and Information Engineering 10 (2), 308-311, 2016
    • M Tavakolian, F Hajati, AS Mian, Y Gao, S Gheisari, Derivative Variation Pattern for Illumination-Invariant Image Representation, Image Processing (ICIP), 2013
    • S Gheisari, S Javadi, A Kashaninya, 3D Face Recognition using Patch Geodesic Derivative Pattern, International Journal of Smart Electrical Engineering 2 (3), 127-132, 2013
    • A Cheraghian, F Hajati, AS Mian, Y Gao, S Gheisari, 3D Face Recognition using Topographic High-order Derivatives, Image Processing (ICIP), 2013
    • M Tavakolian, F Hajati, AS Mian, S Gheisari, 2013, Sparse Variation Pattern for Texture Classification, International Conference on Digital Image Computing: Techniques and Applications (DICTA).
  • Fahimeh ramezani

    Dr.

    Fahimeh Ramezani

    PhD MSc BSc

    Lecturer

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    Fahimeh Ramezani is a researcher and university lecturer with a Ph.D. in Computer Science from the Max Planck Institute for Informatics, Germany. She specializes in theoretical computer science, AI and Data Analysis. Her work bridges rigorous theoretical research with practical applications in data analytics, algorithm design, and scalable systems.

    Previously, Fahimeh was a Postdoctoral Researcher for over three years at the UNSW Department of Computer Science and Engineering. Her research focused on robotics, multi-agent systems, fairness in resource allocation, and AI-driven decision-making.

    Fahimeh has taught computer science courses as a casual lecturer at Macquarie University and PIA Sydney, delivering subjects such as programming, algorithms, and cloud computing. She was Assistant Professor of Computer Science at the University of Isfahan for more than three years, where she taught computer engineering courses and supervised both undergraduate and postgraduate students. She is passionate about teaching and has delivered a wide range of courses, including Programming with C++/Java, Algorithms and Data Structures, Theory of Computing, and Optimization.

    She holds a postgraduate diploma in Applied Mathematics from the International Centre for Theoretical Physics (ICTP) in Italy, awarded through a competitive UNESCO scholarship.

    Fahimeh has published in leading venues such as AAMAS, ALGORITHMICA, and BIOINFORMATICS, and is passionate about using theoretical foundations to address complex, interdisciplinary challenges.

  • Lankani Croos

    Ms.

    Lankani Croos

    BBMgt MTech

    Learning and Teaching Support Officer and Lecturer

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    Lankani holds a Master of Technology in Enterprise Systems and Business Analytics, complemented by over three years of valuable experience in the Australian education sector. As a lecturer for undergraduate courses, Lankani is dedicated to making classes engaging and supporting student success.

    She plays a key role in Learning and Teaching, supporting staff in developing and implementing digital and hybrid learning experiences. Lankani also contributes to enhancing the student experience by collecting and analysing feedback to inform improvements, promoting academic integrity standards and policies, and providing operational and administrative support for teaching and learning projects. She actively engages in professional development to strengthen her skills in digital learning tools and supports the implementation of learning and teaching committee initiatives through detailed documentation and coordination.

    Lankani’s academic work explores students’ perceptions and behaviours towards using generative AI tools in higher education. She is currently researching how AI intersects with education, including studies on Constructive Alignment in the AI Era and Ethical Frameworks for AI–Learner Collaboration. Her broader research interests also include Human Resource Management topics such as Emotional Intelligence and Organizational Citizenship Behavior.

  • Mohammad reza jabbarpour profile

    Dr

    Mohammad Reza Jabbarpour

    PhD MSc BSc

    Lecturer

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    Dr. Mohammad Reza Jabbarpour is an experienced academic and researcher with over 13 years of experience in higher education and ICT research. He has held research fellow positions at both Swinburne University of Technology and Western Sydney University, contributing to several interdisciplinary projects. Prior to these roles, he served as an Assistant Professor in the ICT Department at the Niroo Research Institute (NRI), Tehran, Iran. In 2017, he received a postdoctoral fellowship at Iran’s National Elites Foundation hosted at Iran Telecommunication Research Centre (ITRC). Concurrently, from 2016 to 2018, he also held an Assistant Professor position in the Department of Computer Engineering at the Islamic Azad University, North Tehran Branch.

    Dr. Reza has authored over 45 peer-reviewed papers in high-impact journals and leading international conferences. He received several prestigious awards, including the Asia Invention Association Grand Award and Gold Medal at WiC 2015, Bronze Medal at PECIPTA 2015, and a Merit Award in the Singapore Challenge for his patented innovation. His current research interests span machine learning, federated learning, blockchain technologies, satellite resiliency, vehicular networks and connected vehicles.

Part-time Academic Team

  • Dr manzur ashraf

    Dr.

    Manzur Ashraf

    PhD

    Lecturer

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    Dr Manzur Ashraf earned his undergraduate degree from the Department of Computer Science and Engineering at BUET (2001). Subsequently, he completed his Ph.D. in Computer Science at the University of South Australia, Australia (2009). He possesses Cybersecurity certificates from Google, EC-Council, etc. He also possess Advanced diploma in Project Management.

    Dr. Manzur has 25 years of teaching experience across universities and IT institutes.

    At present, Dr Ashraf is serving as a Permanent Part time role in SISTC, Melbourne. In addition, he runs a software company specialised in Search Engine Optimisation based in Melbourne.

    Research Interests:

    • Artificial Intelligence
    • Search Engine Optimisation
    • Data Analysis
    • Wireless Networking

    Research Grant/Project Successes:

    [1] ‘Oz-Energy-Analysis’ at Research Institute for Climate Change & Sustainability, University of Adelaide (2010-2011): Research project on the production, transmission, storage, and optimality of the renewable energy sources in Australia and analysed how their variability interacts with the national grid – how it can be managed, how much power they can produce and how much it would cost. We developed a website that transparently present data, assumptions, models, analysis, interpretation and engage with a wide range of contributors by using an Open Science model.

    [2] MAGIC 2010 Project at Flinders University jointly sponsored by the Australian defence to develop next-generation fully autonomous ground vehicle systems that can be deployed electively in military operations and civilian emergency situations. We demonstrated the use of multi-vehicle robotic teams that can execute an intelligence, surveillance and reconnaissance mission in a dynamic urban environment. (2009-2010)

    [3] Distance learning project jointly by Suffolk University, UK and BRAC University, Bangladesh in 2004-2006. We proposed the methodology, results and effectiveness in the development of Mobile telephone based (Short Message Service-based) distance learning. The project was about the application of information technology to education, was setup, delivered and evaluated using a real-life environment.

    Selected Publications:

    [1] ‘Risk Scoring System for Macro- and Micro-Vascular Complications Related to Type 2 Diabetes’ IDF 2019, March 2019.

    [2] Channel MAC protocol for opportunistic communication in ad hoc wireless networks

    Ashraf, M., Jayasuriya, A., & Perreau, S. (2009). Channel MAC protocol for opportunistic communication in ad hoc wireless networks. EURASIP journal on advances in signal processing., (2009), 1-17. doi:10.1155/2009/368209.

    [3] Distributed opportunistic communication protocol for wireless multihop networks

    Ashraf, M., Jayasuriya, A., & Perreau, S. (2009). Distributed opportunistic communication protocol for wireless multihop networks. International Journal of Mobile Network Design and Innovation, 3(2), 112-127. doi:10.1504/IJMNDI.2009.030843.

    [4] Load-regulated CSMA,

    Ashraf, M., Jayasuriya, A., & Perreau, S. (2009). Load-regulated CSMA. International journal of communication systems., 22(1), 101-117. doi:10.1002/dac.963.

    [5] Manzur Ashraf, Syed Mahfuzul Aziz, Mohammad Lutful Kabir and Biswajit Kumar Dey, A SIM-based Electronic Transaction Authentication System, Int Journal of Computer Systems Science and Eng, Vol. 24, No. 4, Leicester, UK: CRL Publishing, pp. 13-20, 2009

    [6] Yousuf M. Islam, Mawdudur Rahman, Zillur Rahman and Manzur Ashraf, “Mobile telephone technology as a distance learning tool”, ICEIS, May 2005, USA.

    Selected Presentation:

    I was invited as a speaker at ‘Hack In the Box’ conference (a hacking conference) by ES-Gulf, Bahrain on 2005. I talked about the architectural challenges in secured mobile devices for (i) energy efficient Mobile Device & Applications, (b) Energy-efficient Security Protocols (c) Tamper Resistance and flexibility of h/w and s/w, and (d) De-signing (Modeling) & verifying Security Protocols.

  • Dr Valeriia Sibakova SISTC

    Dr.

    Valeriia Sibakova

    PhD

    Head of Discipline – Early Childhood Education

    Read more

    Dr Valeriia Sibakova is Head of Discipline – Early Childhood Education, bringing a strong combination of academic leadership, research excellence, and extensive teaching experience to the field. With over twenty years of experience, she is recognised for her contributions to curriculum innovation, teacher education, and the integration of creativity within STEM and environmental learning.

    Dr Sibakova holds a PhD in Education from the University of Adelaide, where her doctoral research developed an innovative four-stage model for tracing imaginative development in primary-aged children. Grounded in Vygotskian sociocultural theory, her work focuses on making visible the often “invisible” cognitive and emotional processes that underpin children’s thinking, creativity, and scientific reasoning. Her research interests include multimodal elicitation, projective drawing methodologies, and the role of imagination in early learning contexts.

    In her leadership role, Dr Sibakova oversees the strategic development, quality assurance, and delivery of early childhood education programs. She has led the design and accreditation of undergraduate and postgraduate courses aligned with national frameworks, including ACECQA, AITSL, and the Early Years Learning Framework (EYLF). Her work emphasises research-informed practice, ethical inquiry, and the integration of professional standards to prepare graduates for complex and evolving educational environments.

    Dr Sibakova’s career also includes extensive experience in school and early childhood settings, where she has supported diverse learners, including children with additional needs. This dual perspective enables her to bridge theory and practice, ensuring that programs under her leadership are both academically rigorous and professionally relevant.

    With a deep commitment to inclusive education, innovation, and excellence, Dr Sibakova’s leadership continues to strengthen program quality, enhance student outcomes, and contribute to the advancement of early childhood education both nationally and internationally.

  • Praneel Chand

    Dr.

    Praneel Chand

    PhD PGCertTT PGDipEng BTech

    Senior Lecturer / Unit Coordinator

    Read more

    Dr. Praneel Chand is currently a Senior Lecturer / Unit Coordinator at Sydney International School of Technology and Commerce in Sydney, Australia. He has worked at a range of higher education institutions across Australia, New Zealand, and Fiji. Dr. Chand completed a PhD in Electronics and Computer Systems Engineering from Victoria University of Wellington in 2011. He has over 20 years’ experience in engineering/IT education, research, and projects.

    His work mainly focuses on the design and development of electronic and computer systems for control, automation, mechatronics, and robotics problems. Some specific problems worked on include: visual classification of objects; IoT application for indoor air quality control; mobile robot navigation and control; applications and control of robotic arms; remote laboratory systems. Dr. Chand has over 50 peer-reviewed research outputs comprising journal papers, book chapters, conference proceedings papers, books, and others.

  • Ranbir S Batth

    Dr.

    Ranbir S. Batth

    PhD, Sr. Member IEEE

    Lecturer

    Read more

    Dr. Ranbir S. Batth is an accomplished academician in Computer Science with over 14 years of experience in higher education. He currently serves as a Lecturer and Unit Coordinator at the Sydney International School of Technology and Commerce. Previously, he was the Course Coordinator at Western Sydney University and held the position of Associate Professor and International Partnerships Coordinator at Lovely Professional University in Punjab, India, from January 2017 to May 2022.

    Dr. Batth earned his Ph.D. in Computer Science and Engineering from Punjab Technical University in 2018 and a Graduate Certificate in University Teaching from the University of Melbourne in 2024. His research interests include Wireless Communication, Cloud Computing, Network Security, and Mobile Computing.

    An active member of the academic community, Dr. Batth serves as an editorial member and reviewer for several prestigious international journals. He has participated as a keynote speaker, workshop chair, session chair, and advisory committee member at numerous esteemed conferences. With over 60 published research articles in indexed journals and conference proceedings, he has been recognized and invited by universities worldwide to engage in scientific and technical events. Dr. Batth is a senior member of IEEE (Victorian Section) and a member of both ACS and ACM. He received the prestigious Global Talent for Australia in 2021 and the IEEE Leadership Award in 2020. Beyond his academic contributions, Dr. Batth provides career transition advice to young professionals in ICT and AI and actively promotes STEM careers through discussions on current industry and educational trends.

  • female

    Dr.

    Bushra Naeem

    PhD

    Lecturer

    Read more

    Dr. Naeem is a highly experienced academic with extensive expertise in computer science and cybersecurity, particularly in areas such as Artificial Intelligence, Data Science, Ethical Hacking, Digital Forensics, and IT Project Management. With a strong foundation in intelligent prediction algorithms and a passion for secure, innovative technologies, Dr. Naeem brings over a decade of experience in both teaching and research. She also brings a strong grasp of professional communication, business acumen, and strategic management, which enhances her ability to prepare students for interdisciplinary and real-world challenges.

    Dr. Naeem has a proven track record in delivering undergraduate and postgraduate courses across a broad spectrum of computing disciplines. Dr. Naeem believes in a teaching philosophy that emphasises critical thinking, problem-solving, and student engagement, supported by a commitment to excellence in curriculum development, course coordination, and academic mentorship. She has successfully managed large student cohorts and academic teams, developed standardised frameworks for capstone projects, and cultivated collaborative learning environments that empower both students and staff.

    In addition to the academic leadership, Dr. Naeem has authored 40+ peer-reviewed publications in high-impact international journals and conferences. Her research addresses real-world challenges and contributes to the advancement of intelligent systems and network technologies.

  • Hassan bajwa

    Dr.

    Hassan Bajwa

    PhD (CS), MSCS, BSC

    Lecturer

    Read more

    Hassan is an experienced academic and industry professional with a strong background in artificial intelligence and game development. He earned his PhD in Computer Science from Macquarie University (2025), Australia, and holds Master of Science [2018] and Bachelor of Science [2013] from Pakistan. 
    With years of teaching and administrative experience at various institutions, Hassan is deeply committed to fostering and engaging a inclusive learning environment. His profession journey includes working as Lecturer at various universities, software engineer in industry and in Academic Senate and Research and Research Training Committee

  • Ashwini Shivabasappa

    Ms.

    Ashwini Shivabasappa

    BEng (CS) MTech (CS)

    Lecturer

    Read more

    Ashwini has been researcher and educator with over 7 years’ teaching experience. She has held many academic positions at universities and educational institutions. Her responsibilities include planning and revising curriculum as well as content development. She is a committed and enthusiastic lecturer with a passion for sharing knowledge and inspiring students. Her expertise lies in programming, data analytics, networking, data modelling and database concepts, and internetworking technologies.

    Biography

    Ashwini has been researcher and educator with over 7 years of teaching experience. She has held many academic positions at universities and educational institutions in Australia and overseas. As an academic, her expertise lies in computer science and engineering, Data analytics, Networking Fundamentals and Data Modelling and Database concepts.

    Teaching Philosophy

    I have demonstrated commitment and enthusiasm for teaching and have a passion for sharing knowledge and inspiring students. As an educator, I value creative thinking and I encourage them to use novel ways to demonstrate their knowledge.

    Through classroom discussion, hands-on activities, I help them to think creatively and explore concepts. I aim to create learning environment and provide students the tools to analyse information and situations and effectively solve problems.

    Academic Qualifications
    • Doctor of Philosophy [2018-Present]
      Area of Research: Data Analytics
      Visvesvaraya Technological University, Belgaum, India
    • Master of Technology in Computer Science [Sep 2015]
      Visvesvaraya Technological University, Belgaum, India
    • Bachelor of Engineering in Computer Science [June 2009]
      Visvesvaraya Technological University, Belgaum, India
    Teaching Areas

    Programming Languages: C, C++, C#, Java, Unix System Programming, Phyton
    System Software: Operating systems, Distributed computing, 8086 micro-processor
    Major units: Computer Networks, Security in Networks, Web Designing, Data Structures, Data Mining, Information and Network Security, Computer Organization and System Architecture, Data Analytics, Artificial Intelligence, Data Modelling and Database concepts, Virtualization techniques

    Scholarship and Research Areas
    • Data Analytics
    • Network Security
    Grants and Awards
    • First place in National Level Technical Symposium for Hobby Project.
    • Second place in National Level Technical Symposium for On-Spot Programming
    Publications

    Peer Reviewed Journal Papers

    • Document Clustering Techniques using Hadoop Framework: A Survey, Ashwini K S, Dr Shantala C P, International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P-ISSN 2349-5138, March 2020, Volume 7, Issue 1, pp. 663-666.
    • Dynamic Management of Virtual Machines for Server Consolidation in Data Centers, Ashwini K S, Prof Shantala C P, Girish L, International Journal of Advanced Research in Computer Engineering and Technology (IJARCET), ISSN:2278-1323, May 2015, Volume 4 Issue 5, pp. 2084-2087.
  • Dr manzur ashraf

    Dr.

    Manzur Ashraf

    PhD

    Lecturer

    Read more

    Dr Manzur Ashraf earned his undergraduate degree from the Department of Computer Science and Engineering at BUET (2001). Subsequently, he completed his Ph.D. in Computer Science at the University of South Australia, Australia (2009). He possesses Cybersecurity certificates from Google, EC-Council, etc. He also possess Advanced diploma in Project Management.

    Dr. Manzur has 25 years of teaching experience across universities and IT institutes.

    At present, Dr Ashraf is serving as a Permanent Part time role in SISTC, Melbourne. In addition, he runs a software company specialised in Search Engine Optimisation based in Melbourne.

    Research Interests:

    • Artificial Intelligence
    • Search Engine Optimisation
    • Data Analysis
    • Wireless Networking

    Research Grant/Project Successes:

    [1] ‘Oz-Energy-Analysis’ at Research Institute for Climate Change & Sustainability, University of Adelaide (2010-2011): Research project on the production, transmission, storage, and optimality of the renewable energy sources in Australia and analysed how their variability interacts with the national grid – how it can be managed, how much power they can produce and how much it would cost. We developed a website that transparently present data, assumptions, models, analysis, interpretation and engage with a wide range of contributors by using an Open Science model.

    [2] MAGIC 2010 Project at Flinders University jointly sponsored by the Australian defence to develop next-generation fully autonomous ground vehicle systems that can be deployed electively in military operations and civilian emergency situations. We demonstrated the use of multi-vehicle robotic teams that can execute an intelligence, surveillance and reconnaissance mission in a dynamic urban environment. (2009-2010)

    [3] Distance learning project jointly by Suffolk University, UK and BRAC University, Bangladesh in 2004-2006. We proposed the methodology, results and effectiveness in the development of Mobile telephone based (Short Message Service-based) distance learning. The project was about the application of information technology to education, was setup, delivered and evaluated using a real-life environment.

    Selected Publications:

    [1] ‘Risk Scoring System for Macro- and Micro-Vascular Complications Related to Type 2 Diabetes’ IDF 2019, March 2019.

    [2] Channel MAC protocol for opportunistic communication in ad hoc wireless networks

    Ashraf, M., Jayasuriya, A., & Perreau, S. (2009). Channel MAC protocol for opportunistic communication in ad hoc wireless networks. EURASIP journal on advances in signal processing., (2009), 1-17. doi:10.1155/2009/368209.

    [3] Distributed opportunistic communication protocol for wireless multihop networks

    Ashraf, M., Jayasuriya, A., & Perreau, S. (2009). Distributed opportunistic communication protocol for wireless multihop networks. International Journal of Mobile Network Design and Innovation, 3(2), 112-127. doi:10.1504/IJMNDI.2009.030843.

    [4] Load-regulated CSMA,

    Ashraf, M., Jayasuriya, A., & Perreau, S. (2009). Load-regulated CSMA. International journal of communication systems., 22(1), 101-117. doi:10.1002/dac.963.

    [5] Manzur Ashraf, Syed Mahfuzul Aziz, Mohammad Lutful Kabir and Biswajit Kumar Dey, A SIM-based Electronic Transaction Authentication System, Int Journal of Computer Systems Science and Eng, Vol. 24, No. 4, Leicester, UK: CRL Publishing, pp. 13-20, 2009

    [6] Yousuf M. Islam, Mawdudur Rahman, Zillur Rahman and Manzur Ashraf, “Mobile telephone technology as a distance learning tool”, ICEIS, May 2005, USA.

    Selected Presentation:

    I was invited as a speaker at ‘Hack In the Box’ conference (a hacking conference) by ES-Gulf, Bahrain on 2005. I talked about the architectural challenges in secured mobile devices for (i) energy efficient Mobile Device & Applications, (b) Energy-efficient Security Protocols (c) Tamper Resistance and flexibility of h/w and s/w, and (d) De-signing (Modeling) & verifying Security Protocols.

  • Azadeh R Tabesh

    Dr.

    Azadeh R. Tabesh

    PhD

    Lecturer

    Read more

    Dr. Azadeh R. Tabesh has a strong academic background, with a Ph.D. in Marketing, a Master’s degree in Industrial Management (Production Management), and a Bachelor’s degree in Business Administration. She also has a Graduate Certificate in Tertiary Education from Victoria University, Melbourne.  

    Azadeh successfully completed her Ph.D. with a thesis titled “Green Supply Chain Antecedents, Practices, and Firm Performance in the Australian Food Industry” at Curtin University in Perth, Western Australia, and was awarded the degree in October 2019.

    Her academic career commenced as a lecturer in her home country from 2007 to 2009. After moving to Australia, she worked as a research assistant at Curtin University from 2009 to 2011. Subsequently, she pursued her Ph.D. and, in 2017, began teaching at Curtin University. In 2018, she pursued her professional path in Sydney, holding lecturer and UC roles at variety collages and university. Azadeh is currently working at Victoria University Melbourne and ECA /APIC as a unit coordinator/ lecturer.

    ‪AZADEH R.TABESH‬ – ‪Google Scholar‬

    Award: 

    • Teaching Excellence Award VU Sydney Nov 2019
    • Teaching Excellence Award VU Sydney Mar 2020
    • Curtin Research Scholarship (CRS)- In recognition of the importance of proposed research
    • Curtin University Postgraduate Scholarship (CUPS)
  • Farshid keivanian profile

    Dr

    Farshid Keivanian

    PhD MSc BSc

    Lecturer

    Read more

    Dr. Farshid Keivanian is a PhD-qualified academic and experienced lecturer in AI, Data Science, Software Engineering, Mobile Application Development, and Cybersecurity. With over 15 years of international experience in higher education and industry, he has taught and coordinated units at leading Australian institutions including UTS, ACU, Torrens University, and Holmes Institute. At SISTC, he leads subjects such as Data Visualisation, Advanced Data Analytics, Object-Oriented Programming, Web Development, and Capstone Projects, while contributing to curriculum design and postgraduate teaching. His research focuses on optimisation, explainable AI, and AI applications in healthcare and infrastructure, with publications in top-tier journals such as Expert Systems with Applications, PLOS ONE, and Journal of Computational Science. His GitHub repository hosts open learning materials and student support resources in programming, data science, and cybersecurity.

  • Gaurav gambhir

    Dr.

    Gaurav Gambhir

    PhD MTech BEngg

    Lecturer

    Read more

    Dr. Gaurav Gambhir is an accomplished academic with over two decades of experience in higher education and IT consultancy. He holds a Ph.D. in Computer Science and Engineering, with his research focused on shared memory implementations of cryptographic and steganographic techniques. His teaching portfolio spans a wide range of undergraduate and postgraduate subjects including Data Analytics, Artificial Intelligence, Cybersecurity, and Software Development.

    Before joining academia in Australia, he held senior academic positions in India and delivered corporate training sessions for major organizations such as IBM, Infosys, Siemens, and MakeMyTrip. He has also published articles in SCOPUS and IEEE indexed journals and conferences. Passionate about teaching, Dr. Gambhir brings a practical, hands-on approach to learning, integrating his industry expertise and research into classroom delivery.

  • Jisha sunny manjaly profile

    Dr

    Jisha Sunny Manjaly

    PhD MTech MBA BTech

    Unit Coordinator & Lecturer

    Read more

    Dr. Jisha Sunny Manjaly is an experienced academic professional with over 15 years of tertiary-level teaching in the fields of Data Analytics, Big Data, Cloud Computing, Programming, and Information Systems. She holds a Ph.D. in Big data. Her academic foundation is further strengthened by a Master of Technology in Computer Science and Engineering (Information Systems) and an MBA in Finance.

    Throughout her career, she has consistently demonstrated a commitment to academic excellence, research innovation, and student-centered teaching. She has published extensively in high-impact international journals and IEEE conferences, focusing on big data analytics, cloud platforms, optimization, artificial intelligence, machine learning, cyber security, and data mining. My research contributions are complemented by practical experience in AWS EC2, Hadoop, and GitHub-hosted projects.

    Her teaching philosophy blends theoretical rigor with hands-on practice, and she has delivered a diverse range of undergraduate and postgraduate units across topics such as Data Science Practice, Cloud Systems, Relational and Non-relational Databases, Programming Principles, and Business Analytics. She is a proficient in programming languages including Python, Java, R, and C++, and have extensive experience with educational technologies such as Moodle, Blackboard, Canvas, iLearn, Zoom, and Microsoft Teams.

    In the realm of data tools and technologies, she has hands-on experience with SQL databases (SQL Server, MySQL), data visualization tools (Tableau, SAS Analytics, IBM Watson) and a working knowledge of Power BI and Qlik. She also bring expertise in tools like Jupyter Notebook, Spyder, R Studio, Visual Studio, and cloud services like AWS Lambda, S3, EC2, RDS, among others.

    She has a proven track record of being a reliable team player, with experience in unit coordination, assessment moderation, peer review, project supervision, and academic administration. She has contributed actively to course design and continuous improvement processes, always prioritizing student success and inclusivity. She is committed to lifelong learning and regularly engage in professional development to refine my teaching and research capabilities.

    As a professional member of ACS, ASCILITE, ISTE, and with a Certificate IV in Training and Assessment and Working with Children Check, she is equipped to deliver quality education in both academic and industry-aligned contexts. Her multicultural teaching experiences and collaborative mindset have helped foster strong professional relationships and a dynamic learning environment. She is passionate about leveraging data science and emerging technologies to drive impactful learning, innovative research, and practical solutions that benefit students, institutions, and the wider community.

  • Monika gambhir profile

    Dr

    Monika Gambhir

    PhD MTech BTech

    Lecturer

    Read more

    Dr. Monika Gambhir is a dynamic and results-oriented academic with over 20 years of experience in teaching, research, and academic leadership in higher education institutions. She holds a Ph.D. in Electronics Engineering and currently serves as a lecturer.. Her teaching expertise spans advanced mathematics, data analytics, digital electronics, information systems, and project management.

    Dr. Gambhir is a strong advocate for innovation in education, having successfully completed Innovation Ambassador trainings by the Ministry of Education, India. She has published extensively in international journals indexed in Scopus and SCIE, with research interests in photonic sensing, steganography, Image Processing and optimization. She is also committed to continuous learning and has completed multiple professional certifications in data analysis and forecasting through platforms such as Coursera.

    In addition to her academic credentials, Dr. Gambhir brings a global perspective to her teaching, underpinned by her diverse institutional experience and commitment to student-centered learning. Her contributions extend beyond the classroom through expert talks, workshops, and curriculum development that align with the evolving demands of the IT and engineering sectors.

  • Naimat ullah khan

    Dr.

    Naimat Ullah Khan

    PhD

    Lecturer

    Read more

     Dr. Naimat Ullah Khan completed his first Ph.D. in Communication and Information Systems at Shanghai University in 2024 and is currently completing a second Ph.D. in Computer Science at the University of Technology Sydney (UTS), with a focus on advanced machine learning models for recommender systems. His research spans spatiotemporal modeling, data analytics, deep learning, and anomaly detection in Industrial IoT environments. 

    Experience: 

    • University of Technology Sydney, Australia, Faculty of Engineering and IT,. Casual Lecturer. October 2022- Ongoing 
    • Victorian Institute of Technology, Australia. Casual Lecturer. July 2024- June 2025 
    • Tracks Institute of Management, Education and IT, Pakistan. Tutor. March 2020- November 2021 
    • Al-Tehrir Institute of Information Technology, Pakistan. Tutor. August 2016– July 2017. 
    • Preston University Islamabad, Pakistan. Casual Lecturer. December 2014- August 2016. 

    Education: 

    • Ph.D.: Communication and Information Systems, Shanghai University, 2024. 
    • Ph.D.: Computer Systems, University of Technology Sydney, (Thesis passed, expected graduation July 2025). 

    Teaching Experience: 

    • Data Analysis and Visualization 
    • Big Data Technologies 
    • Information Security and Management 
    • Software Engineering 
    • Programming (Python, Java) 
    • Research Methodology in Computer Science 
    • Data Mining 
    • Cloud Computing (AWS/GCP) 
    • Management Information Systems 
    • Capstone Projects 
    • Postgraduate research supervision 

    Publications: 

    • A Novel Approach for Pattern Classification within Imbalanced Datasets in an industrial Internet of Things Environments. Springer Nature: Scientific Report Journal. 2025, Accepted. 
    • A Novel Ensemble Wasserstein Generative Adversarial Network for Effective Anomaly Detection in Industrial Internet of Oxford: The Journal of Computational Design and Engineering. 2025, Accepted. 
    • A Robust Framework for Anomaly Detection in Industrial Internet of Things. IEEE Transaction: Sensors Journal. 2025, Under Review. 
    • Enhanced Group Recommendation System: A Hybrid Context-Aware Approach with Collaborative Filtering for Location-Based Social Networks. International Journal of Knowledge-Based Development. 2025, Accepted. 
    • Prediction and Classification of User Activities Using Machine Learning Models from Location-Based Social Network Data. Appl. Sci. 2023, 13. 
    • Location-based social network’s data analysis and spatio-temporal modeling for the mega city of Shanghai, China. ISPRS International Journal of Geo-Information, 9(2), 76. 
    • A Study of User Activity Patterns and the Effect of Venue Types on City Dynamics Using Location-Based Social Network Data. ISPRS International Journal of Geo-Information, 9(12), 733. 
    • A review of human pose estimation from single image. In 2018 International Conference on Audio, Language and Image Processing (ICALIP) (pp. 230-236). IEEE. 
    • Analyzing the spatiotemporal patterns in green spaces for urban studies using location-based social media data. ISPRS International Journal of Geo-Information, 8(11), 506. 
    • Role of big data in the development of smart city by analyzing the density of residents in shanghai. Electronics, 9(5), 837. 
    • Spatiotemporal patterns of visitors in urban green parks by mining social media big data based upon WHO reports. IEEE Access, 8, 39197-39211. 
    • 3D Object classification using a volumetric deep neural network: An efficient Octree Guided Auxiliary Learning approach. IEEE Access, 8, 23802-23816. 
    • A new hybrid image encryption algorithm based on 2D-CA, FSM-DNA rule generator, and FSBI. IEEE Access, 7, 81333-81350. 
    • Migration Impact on Remittances Special Focus on Gulf Countries: A Case Study of Pakistan. North American Academic Research, 2(8), 62-80. 
    • Enhance Requirement Engineering Techniques in Expert System Development (ICEET 2014). 

Non-Academic Team

  • Jotsana Roopram

    Miss

    Jotsana Roopram

    MEd DipHosp GradCertHE GradCertBA

    Governance and Quality Manager

    Read more

    Jotsana is the Governance and Quality Manager at SISTC. She is a professional member of the Institute of Managers and Leaders (IML) and the Australian Computer Society (ACS). She holds qualifications in Hospitality, Higher Education, and Business Administration, a Master’s degree in Education, and is currently a PhD candidate at Federation University. Her research focuses on online learning and international student engagement, with published work on remote proctoring and student experience.

    With extensive experience in academic leadership and operations, Jotsana brings expertise in governance and quality assurance, policy implementation, and innovative approaches to online learning.

  • Abhineet Ghimire

    Mr

    Abhineet Ghimire

    Risk and Compliance Officer

    Read more

    Abhineet is the Risk and Compliance Officer at SISTC. He has a Diploma of Quality Auditing as well as a Diploma of Business Compliance, and has gained significant experience across education, training and assessment, hospitality and operational environments. This background has given him a practical understanding of compliance and risk management settings in the context of day-to-day business operations.

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