Our Academic Team

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.

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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.

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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.

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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

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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

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Scholarship and Research Areas

• Data Analytics
• Network Security

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Grants and Awards

• First place in National Level Technical Symposium for Hobby Project.
• Second place in National Level Technical Symposium for On-Spot Programming

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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. 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.

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 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 exciting and helping students succeed. Her expertise lies in Information Technology, Data Analytics, and Business Information Systems. Lankani’s academic pursuits also include extending the theory of planned behavior to analyze patterns of the usage of AI-based Large Language Models (LLMs) among tertiary students. Furthermore, her research interests extend to Human Resource Management disciplines such as Emotional Intelligence and Organizational Citizenship Behavior.

Beyond her teaching responsibilities, Lankani conducts Academic Support workshops on campus, offering invaluable guidance and assistance to students encountering academic hurdles or aiming to enhance their English language proficiency. With genuine enthusiasm for helping students excel in their studies, she enjoys supporting them to do their best in school.

With over 5 years of experience in the education sector both in Australia and internationally, Matthew is an all-rounder dedicated to enhancing student success. As Head Librarian and Unit Coordinator, he also teaches undergraduate units and provides academic and technical support to both students and staff. Matthew manages the Moodle LMS, chairs the WH&S committee, and contributes actively to campus life through events and committee work. Friendly and approachable, he is always happy to assist students with their learning journey.

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.

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.

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.

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 machine learning.

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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.

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Teaching Areas

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

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Scholarship and Research Areas

• Multimedia Security
• Security of Autonomous Vehicles
• Cryptography

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Grants and Awards

Awards

• Teaching Recognition Award, Monash University, June 2023.
• 1^st Runner Up Award, International Workshop on AI-Enabled Policing and Law Enforcement, IEEE EDOC conference, October 25^th -26^th 2021, Gold Coast, Australia.
• Best presentation award, the 10^th International Conference on Computer Modeling and Simulation, January 8^th-10^th 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.

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Publication

Peer Reviewed Journal Papers

• 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

• 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 4^th 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 10^thInternational 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. In11^thInternational 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, 3^rd(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.

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Membership

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

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Professional Academic Activities

Journal Editor

• 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 Computer Networks and Communications, Guest editor of special issue on: Advances in Machine Learning for Cybersecurity, Hindawi, April 2018.
• Journal of Next Generation Information Technology, Convergence Information Society (CIS), South Korea, 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

Conference Technical Program Committee

• 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.
• 3^rd EAI International Conference on Smart Technologies and Innovation Management [EAI MTYMEX 2024], 28-29 March, 2024, Vancouver, Canada.
• 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 2^nd International Conference on Artificial Intelligence and Blockchain Technology [AIBT2023], 13-15 Jan, 2023, Zibo, Shandong, China.
• PC member of Track 5: Security, Privacy, Trust, and Incentives, The 31^st 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 2^nd 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.
• International Conference on Artificial Intelligence and Blockchain Technology [ABIT2021], 25-27 June 2021, Beijing, China.
• 2021 3^rd International Conference on Soft Computing and its Engineering Applications [icSoftComp2021], 11-12 December 2021, Charusat, Changa, India.
• 4^th International Conference on Recent Trends in Multidisciplinary Research [ICRTMDR2021], 26-27 December 2021, Maldives.
• 2021 Global Congress on Electrical Engineering [GC-ElecEng 2021], 3^rd-5^th September 2021, Valencia, Spain.
• International Conference on Artificial Intelligence and Applications [ICAIA], 15-17 October 2021, Suzhou, Jiangsu, China.
• 2^nd International Workshop on AI-enabled Process Automation – [ICSOC] Conference, 22^nd – 25^th November 2021, Dubai, UAE.
• Global 2020 Congress on Networking and Communications, 1^st International Conference on Multimedia Systems, Networks and Technologies [MIC-Multimedia 2020], 6^th-8^th March 2020, Athens, Greece.
• Global 2020 Congress on Engineering Sciences, Technologies and Applications [GC-Engineering 2020], 1^st International Conference on Computer Science and Engineering (MIC-Computing 2020), January 17^th-19^th 2020, Dubai, UAE.
• Global 2020 Congress on Electrical Engineering [GC-ElecEng 2020], 4^th-5^th September 2020, Valencia, Spain.
• The 9^th International Conference on Intelligent Computing and Applications [ICICA2020], February 26^th-28^th, 2020, Brisbane, Australia.
• Global 2020 Congress on Communications and Computing Technologies (GC-Technology 2020), 1^st International Conference on Information Technologies and Information Systems [MIC-InfoTech 2020], 9^th-11^th October 2020, Porto, Portugal.
• International Conference on Artificial Intelligence and Blockchain Technology [ABIT2020], 31^st July – 2^nd August 2020, Beijing, China.
• 2^nd International Conference on Advancing Knowledge from Multidisciplinary Perspectives in Engineering & Technology [ICAKMPET2020], June 24^th – 25^th 2020, Istanbul, Turkey.
• 2020 2^nd International Conference on Soft Computing and its Engineering Applications [icSoftComp2020], 11-12 December 2020, Charusat, Changa, India.
• 8^th 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.
• 3^rd International Conference on Recent Trends in Multidisciplinary Research [ICRTMDR2020], 26-27 December 2020, Maldives.
• The 9^th Annual International Congress of Information and Communication Technology [ICICT2019], January 11^th-13^th, 2019, Nanning, Guangxi, China.
• The 1^st International Conference on Computer Science and Engineering [MIC-Computing 2019], January 18^th-20^th, 2019, Dubai, UAE.
• The 8^th International Conference on Intelligent Computing and Applications [ICICA2019], January 16^th-19^th, 2019, Melbourne, Australia.
• 1^st International Conference on Electrical, Biomedical and Nuclear Engineering Technologies [ElectriTek2019], 15^st-17^th September 2019, Irbid, Jordan.
• The 11^thInternational Conference on Computer Modeling and Simulation [ICCMS2019], 16^th-19^th January 2019, Melbourne, Australia.
• Global 2019 Congress on Electrical Engineering, 2^nd International Conference on Digital Signal Processing, MIC-SigProc 2019 Technical Program Committee (TPC), 18^th-20^th October 2019, Barcelona, Spain.
• The 10^thInternational Conference on Computer Modeling and Simulation [ICCMS2018], 8^th-10^th January 2018, Sydney, Australia.
• The International Conference on Network Engineering and Information Security [NEIS2018], April 20^th-22^nd 2018, Wuhan, China.
• 4^th Annual International Conference on Management, Economics and Social Development [ICMESD2018], May 18^th-20^th, 2018, Xi’an, Shaanxi, China.
• 1^stInternational Conference on Multimedia Systems, Networks and Technologies [MIC-Multimedia2018], September 28^th-30^th 2018, Barcelona, Spain.
• 6^th Annual 2018 International Conference on Geo-Spatial Knowledge and Intelligence [GSKI2018], October26^th-28^th, 2018, Beijing, China.
• 2018 5^th International Conference on Wireless Communication and Sensor Network [WCSN2018], December 14^th-16^th, 2018, Wuhan, Hubei, China.
• 2018 2nd International Conference on Advanced Education and Management Science [AEMS2018], December 22th-23th, 2018, Shanghai, China.
• 2^ndAnnual International Conference on Information System and Artificial Intelligence [ISAI2017], July 14^th-16^th, 2017, Tianjin, China.
• The international conference on Artificial Intelligence and Computer Engineering [AICE2017], June 23^th-25^th, 2017, Suzhou, China.
• 3^rdAnnual International Workshop on Wireless Communication and Network [IWWCN2017], December 8^th-10^th, 2017, Chiang Mai, Thailand.
• International Conference on Computer Engineering and Information System [CEIS2017], October 20^th-22^th 2017, Xiamen, China.
• 5^thAnnual 2017 International Conference on Geo-Spatial Knowledge and Intelligence [GSKI2017], December 8^th-10^th, 2017, Chiang Mai, Thailand.
• 2017 2^ndInternational Conference on Computer, Mechatronics and Electronic Engineering [CMEE2017], December 24^th-25^th, 2017, Xiamen, China.
• Japan-Africa Conference on Electronics, Communications, and Computers [JAC-ECC2017], December 18^th-20^th, 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), 14^th-16^th August 2020, Athens, Greece.
• Global 2019 Congress on Computer Engineering (GC-CompEng 2019), 16^th-18^th August 2019, Athens, Greece.

Conference Track Chair

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

Conference Session Chair

• 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 18^th October 2019.

Invited Talk

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

Technical Committee of Iran’s National Information Security Standards

• Video surveillance systems for use in security applications – Part 1-1: System requirements – General. (INSO 21122-1-1, 1^st 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, 1^st 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 1^st 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 1^st edition 2018 – identical with IEC 62676-3:2013).
• Identification cards – ICC-managed devices – Part 1: General framework. (INSO 21122-3 1^st 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 1^st 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 1^st 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 1^st edition 2018 – identical with ISO/IEC 17839-3: 2016).
• Information technology – Security techniques – Cryptographic techniques based on elliptic curves – Part 5: Elliptic curve generation. (INSO 21122-3 1^st edition 2018 – identical with ISO/IEC 15946-5: 2017).

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.

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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

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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

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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

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Honors

• 2022 Teaching Excellence Award, Victoria University
• 2021 Teaching Excellence Award, Victoria University
• 2018 Australian Postgraduate Research Internship from Australian Bureau of Statistics (ABS)

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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).

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.

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.