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Rachid HamadiView profile

Senior Lecturer

• Formal Methods for Software
• Data and Information Privacy
• Distributed Computing and Systems Software
• +8 more

Dr Rachid Hamadi is a Senior Lecturer at the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Ph.D. in Computer Science and Engineering from UNSW, alongside a M.Sc. and a B.Sc. (with Honours) in Computer Science from the University of Science and Technology Houari Boumediene (USTHB), Algeria. Prior to joining UNSW, he served as a Lecturer at Federation University, Victoria University, University of New England, Central Queensland University, and USTHB. Education Ph.D. in Computer Science and Engineering (UNSW) M.Sc. in Computer Science (USTHB, Algeria) B.Sc. (with Honours) in Computer Science (USTHB, Algeria) Research Interests His research focuses on formal modeling of business processes, exception handling, analysis and verification, and service-oriented computing. His work integrates formal methods such as Petri nets to address challenges in business process management, privacy preservation in web services, and dynamic workflow systems. Publications include significant contributions to international journals and conferences. Teaching Dr Hamadi teaches Programming, Databases, Web Technologies, Software Engineering, and Capstone Projects at UNSW. Professional Memberships Association for Computing Machinery (ACM) Institute of Electrical and Electronics Engineers (IEEE) Higher Education Research and Development Society of Australasia (HERDSA)

Wasim SadiqView profile

Adjunct Professor

• Computer Science
• Software Engineering
• Workflow Management
• +3 more

Wasim Sadiq is an Adjunct Professor at the School of Electrical Engineering & Computer Science, University of Queensland. His research focuses on software engineering, workflow management systems, and database technologies. He has contributed to service-oriented architectures, flexible workflow validation, and big data processing on platforms like SAP HANA. His publications span topics such as toolkit development for service interaction patterns and trajectory data storage optimization. Collaborators include experts in computer science and database systems. No specific grants or awards are listed, though his work demonstrates sustained engagement with industry-relevant challenges.

Jamal El-DenView profile

Senior Lecturer

• Knowledge Management
• Positive Psychology
• Group Support Systems
• +6 more

Dr. Jamal El-Den is a Senior Lecturer in Information Systems at Charles Darwin University's Faculty of Science and Technology. He holds a PhD in Information Systems from the University of Technology Sydney. His research focuses on Knowledge Management, Positive Psychology, Group Support Systems, Organizational Productivity, and the transformative role of Social Media in Education. He has successfully graduated three PhD students and currently supervises two more. His work bridges theoretical frameworks with practical applications in areas like AI-driven education, sustainable digital learning, and healthcare informatics. Dr. El-Den is actively engaged in interdisciplinary research, exploring topics such as energy-efficient 6G networks and smart urban systems. His publications span over 20 years, demonstrating a commitment to advancing Information Systems across diverse domains. Education: PhD in Information Systems (UTS Sydney). Key research interests include AI-enabled reskilling, sustainable digital learning, and the intersection of technology with organizational well-being. He has contributed to frameworks for social media adoption in educational and enterprise contexts, emphasizing cooperative learning and knowledge sharing. Notable research contributions include studies on diabetic retinopathy diagnosis via deep learning, stochastic models for technology adoption, and security compliance through positive psychology interventions. His work often addresses real-world challenges in education, healthcare, and urban planning, reflecting a dedication to socially impactful research.

• Computer Vision
• Stereo Vision
• Image Processing
• +5 more

Dr. Jasmine Banks is a Lecturer in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT). She holds a PhD in Engineering from QUT and a dual Bachelor's degree in Electronics and Information Technology. Her academic roles include serving as First Year Coordinator for Engineering since 2016, focusing on student welfare, academic advising, and curriculum management. Research Interests: Her work spans FPGA-based signal processing, computer vision, biomedical image analysis, and embedded systems. Key areas include stereo vision algorithms, white blood cell segmentation, and 3D face tracking using stereo cameras. She emphasizes practical applications of hardware-software co-design and FPGA acceleration. Teaching: Over 20 years of university teaching experience, including courses in Electronics, Signal Processing, and FPGA programming. Notable roles include Unit Coordinator for ENB240 Introduction to Electronics and EGH449 Advanced Electronics. She pioneered blended learning approaches and developed FPGA tutorials used globally. Publications: Over 80 peer-reviewed papers in areas like FPGA-based solvers, medical image segmentation, and biometric recognition. Recent work focuses on microstructural analysis of drying processes and deep learning for cell classification. Professional Service: IEEE Queensland Section Treasurer (2009–2010) and QUT Student Branch Counselor. Active member of Engineers Australia and the Australasian Association for Engineering Education (AAEE).

• Computer Science Education
• Software Security
• Trust Models
• +5 more

Dr. Charles Thevathayan is an Associate Professor in the School of Science at RMIT University, Australia. His academic focus spans Computer Science Education, Software Security, Trust Models, and Model Checking. He actively contributes to curriculum design and pedagogical innovation in computing education. His research explores areas such as algorithmic reasoning, constructivist learning tools, and service-oriented frameworks for social data analysis. Dr. Thevathayan is open to supervising PhD/Masters students in these domains. Research interests include Big Social Data Analysis, educational technology, and software engineering methodologies. His work emphasizes reducing cognitive load in programming education and enhancing industry-relevant skills through innovative pedagogical approaches. He collaborates with industry partners to bridge theoretical and practical aspects of computing education. Recent publications highlight his contributions to algorithmic reasoning tasks, UML sequence diagram learning tools, and adaptive remediation systems for novice programmers. His research has been presented at conferences like ACM SIGCSE, ITiCSE, and IEEE TrustCom. Dr. Thevathayan holds expertise in mentoring diverse student cohorts and evolving project-based learning frameworks. He is committed to advancing educational practices in computing disciplines through evidence-based approaches.

• Cyber Security
• Big Data Analytics
• Software Engineering
• +2 more

Dr. Faheem Ullah is an Assistant Professor in the School of Computer and Mathematical Sciences at the University of Adelaide. He holds a dual role as Lecturer/Assistant Professor and is part of the Centre for Research on Engineering Software Technologies (CREST), where he leads R&D in big data analytics and cloud computing. His research focuses on cybersecurity, big data analytics, software engineering, cloud computing, and machine learning. He has applied these skills in healthcare, oil & gas, defense, and green computing domains. Dr. Ullah is eligible to supervise Masters and PhD students as a co-supervisor, emphasizing collaborative research endeavors. He actively contributes to the design and evaluation of cybersecurity systems, including frameworks for microservices, distributed data processing, and adaptive security analytics. His work bridges theoretical advancements with industry applications, addressing challenges such as vulnerability analysis in microservices, AI-driven threat detection, and optimizing cloud infrastructure. He is a sought-after expert in cybersecurity and cloud-native technologies, with a strong publication record in top-tier venues.

• Remote Laboratories
• Engineering Education
• Distance Learning
• +4 more

Professor David Lowe is a Professor of Software Engineering in the School of Computer Science at The University of Sydney, within the Faculty of Engineering. He holds a B.E. (UTS, Hons, Medal) and a PhD (UTS), along with prestigious fellowships and memberships (PFHEA, SMACM, SMIEEE, MAAEE). His research focuses on remote laboratories, enhancing STEM education through shared experimental resources, and leveraging high-speed networks for flexible, 24/7 access to scientific equipment. He previously served as Associate Dean (Education) and Deputy Dean of the Faculty of Engineering (2012–2019), and led the Centre for Real-Time Information Networks at UTS (2002–2008). His research interests include distributed systems, web engineering, and educational technology, with over 200 publications and three textbooks. Key contributions include LabShare, a cross-institutional remote laboratory initiative, and advancements in remote lab architectures. He chairs Grok Academy and was CEO of LabShare Institute. Awards include the 2011 Engineers Australia Engineering Excellence Award finalist recognition and the 2002 McGraw-Hill New Engineering Educator Award. Professor Lowe’s teaching includes courses on professionalism in computing and IT practice. He actively contributes to academic governance, editorial boards (e.g., ICST Transactions on Real-World Web), and conferences (e.g., REV2013 General Chair). Recent work explores professional competency development, AR integration in STEM education, and student engagement analytics.

Zhongwei ZhangView profile

Senior Lecturer

• IoT Applications
• Network Security
• Data Analytics
• +5 more

Dr. Zhongwei Zhang is a Senior Lecturer at the University of Southern Queensland's School of Mathematics, Physics and Computing. He holds a BSc from Harbin Institute of Technology (1986), MSc from Vrije Universiteit Amsterdam (1993), and PhD from Monash University (1998). His research focuses on IoT applications in healthcare and agriculture, network security, data analytics, and ethics in emerging technologies. He has published over 67 articles in journals like IEEE Communications and Journal of Applied Animal Nutrition. He teaches courses such as CSC1310 Interworking and CSC8470 Network Security Management, integrating industry skills like project management and ethical decision-making. His supervisions include doctoral studies on IoT security and healthcare systems. He has contributed to grants like the Australian Research Council’s 2016 project on poultry nutrition and sensor networks in structural health monitoring. His research interests bridge theoretical and practical aspects of IoT, emphasizing cybersecurity, data privacy, and ethical technology use. Notable works include developing frameworks for healthcare IoT systems and secure authentication protocols for electronic health records.

Jon WhittleView profile

Professor

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +3 more

Jon Whittle Jon Whittle is a Professor and Director at CSIRO's Data61, Australia's national research center for data science, digital technologies, and AI. He leads a team of over 800 staff and affiliates, fostering collaborations with industries and over 30 universities. His work focuses on translating cutting-edge research into societal benefits through AI, cybersecurity, robotics, and computational science. Research Interests Whittle's research emphasizes Responsible AI , including ethical design patterns, governance frameworks, and human-values integration in software systems. He explores topics like AI risk assessment, foundation model architectures, and user-centric development for mobile apps and enterprise tools. His work bridges theory and practice, addressing challenges in AI adoption, transparency, and societal impact. Collaborations & Impact Data61 operates across CSIRO's interdisciplinary domains (e.g., health, agriculture, energy) to solve real-world problems. Whittle’s initiatives aim to operationalize ethical principles into AI systems, ensuring trustworthiness and compliance across sectors like finance and healthcare. Grants & Projects While specific grants are not detailed, his leadership role suggests involvement in large-scale national and industry-funded projects focused on AI innovation and responsible technology development.

• Human-centred computing
• Computer Science Education
• Software engineering
• +6 more

Professor Margaret Hamilton is an Honorary Professor in the School of Computing Technologies at RMIT University. She specializes in mobility, user experience, and computer science education, with research interests spanning software engineering, data management, and information systems. Her work emphasizes enhancing education through innovative pedagogical approaches and addressing challenges in mobility and urban planning. Research Interests: Software engineering in mobility, modeling, testing, and ethnographic action research; computer science education including new technologies, problem-solving, employability, and academic integrity. Current projects focus on AI-based decision making, solar power forecasting, and interdisciplinary STEM education. Advising and Grants: Engaged in numerous research projects funded by industry and academic initiatives, including studies on computational thinking education in remote schools and AI-driven student success prediction. Collaborates with industry partners to align university programs with industry needs.

• Service-Oriented Computing
• Robotic Process Automation
• Crowdsourcing
• +3 more

Professor Renuka Sindhgatta Rajan is affiliated with Queensland University of Technology (QUT) under the School of Information Systems . She is a leading academic in service-oriented computing, robotic process automation, and business process management. Her research focuses on: Interpretable AI for predictive process analytics Crowdsourcing dynamics and task allocation Intelligent tutoring systems and educational technology Context-aware resource allocation in service systems Human-AI interaction in business processes Recent publications span 2021–2018, covering robotic process automation architectures, crowdsourcing analysis, and AI-driven educational tools. Her work appears in top-tier venues like Decision Support Systems , Communications of the ACM , and IEEE Access .

• Artificial Intelligence for Software Engineering
• Software Engineering Analytics
• Process Analytics
• +3 more

Hoa Khanh Dam is a Professor in the School of Computing and Information Technology at the University of Wollongong, Australia. He serves as Director of the Decision System Lab and holds leadership roles including Deputy Head of School (Research) and Head of Postgraduate Studies. His research focuses on integrating Artificial Intelligence with Software Engineering to enhance software quality, cybersecurity, and productivity. Key areas include AI-driven solutions for project management, autonomous systems resilience, and privacy engineering. He actively supervises PhD and MPhil students exploring AI applications in software development and quantum computing. Recent funding includes a project on 'Monitoring and Safeguarding Deep Reinforcement Learning Systems.' Research interests span AI for software engineering, process analytics, service-oriented architectures, and cybersecurity resilience. His work addresses challenges such as adversarial machine learning, explainable vulnerability prediction, and GDPR-compliant privacy policies. The Decision System Lab under his direction develops AI tools for decision-making in complex environments, including adversarial search strategies and normative multi-agent systems. Teaching and supervision include advanced topics like AI-driven chatbots for university systems, quantum code generation, and CRM application development. His publications emphasize practical AI applications in software lifecycle management, including defect prediction, agile iteration planning, and robotic process automation optimization.

James BirtView profile

Associate Professor

• Educational Technology
• Virtual Reality (VR)
• Augmented Reality (AR)
• +4 more

Dr. James Birt is an Associate Professor of Creative Media and Associate Dean for External Engagement at Bond University's Faculty of Society & Design. He specializes in Educational Technology with a focus on Virtual Reality (VR), Augmented Reality (AR), and immersive simulations. His research bridges theoretical knowledge and practical applications, emphasizing technology standardization (e.g., ISO/IEC 5927:2024) and industry collaboration. Birt holds a PhD in AI and Software Engineering and has contributed to global initiatives in immersive technology through committee work and partnerships. Education: PhD in Software Engineering (Bond University, 2006), Honours in Information Technology (Griffith University, 2003), Bachelor of Information Technology (Griffith University, 2000). Research Interests: Dr. Birt explores emerging technologies like VR/AR for enhancing learning, community engagement, and healthcare. His work includes developing safety standards for immersive technologies and investigating their applications in medical training, climate change communication, and esports education. Recent projects include the Mixed Reality Research Lab and the OPiC construction research incubator. Advising & Grants: Supervises projects on VR in medical investigations and esports diplomacy. Collaborates with organizations like the International Organization for Standardization and ASCILITE. Labs/Initiatives: Leads Bond University's Mixed Reality Research Lab, focusing on multimodal learning analytics and secure exam systems. Co-developed the ARBuilding and Corrigan Walk apps for cultural education and spatial visualization.

Jean-Guy SchneiderView profile

Professor

• Software Engineering
• Quantum Computing
• Cloud Computing
• +4 more

Prof. Jean-Guy Schneider is a Professor and Associate Dean (Education) in the Faculty of IT at Monash University. He holds a PhD in Computer Science from the University of Bern, Switzerland, and has over 20 years of experience in higher education. His research focuses on reliable software technologies, including component-based systems, cloud/mobile computing, quantum software, and agile methodologies. He actively contributes to software engineering education and industry-relevant research. His key research areas include energy-efficient IoT architectures, machine learning model security (e.g., MLGuard project), and quantum computing abstractions. Recent work emphasizes optimizing workflows for energy/performance trade-offs and addressing challenges in open-source ML projects. Prof. Schneider has published extensively on topics like service virtualization, Docker container monitoring, and anomaly detection in cloud systems. He supervises PhD candidates in software engineering for machine learning and quantum computing.

Stefanie PlageView profile

Research Fellow

• sociology of emotions
• disadvantage
• health and illness
• +7 more

Dr. Stefanie Plage is a Research Fellow with the Life Course Centre at the School of Social Science, Faculty of Humanities, Arts and Social Sciences at The University of Queensland (UQ). Her multi-disciplinary work focuses on qualitative research methods including longitudinal and visual approaches to explore complex social issues related to health, disadvantage, and social care systems. Dr. Plage earned her Doctor of Philosophy from the Centre for Social Research in Health at The University of New South Wales, where she employed longitudinal qualitative interviews and visual elicitation methods to explore the lived experience of people with cancer. She also holds a Masters (Coursework) from the University of Essex. Her research interests span: Sociology of Health and Illness, particularly the lived experience of chronic illness and cancer Health and homelessness Educational inclusion, participation and outcomes of children with cancer Sociology of emotions and disadvantage Dr. Plage has published extensively across multiple formats including 46 journal articles, 4 book chapters, 10 conference papers, 20 research reports, 9 working papers, and 2 creative works. Her recent research examines housing instability, cancer survivorship, and the interactions of families experiencing social disadvantage with social and health care systems. She has developed expertise in participant-produced photography and narrative methods to explore complex health and social issues. Her research has been supported by funding from St Vincent de Paul Society Queensland, Queensland Mental Health Commission, Micah Projects Inc, Anglicare Southern Queensland, and the Commonwealth Department of Social Services. Dr. Plage serves as an Associate Advisor for multiple PhD candidates at UQ, supervising research on wellbeing in young cancer patients, online dating experiences of cancer survivors, digital health interventions, gender inequality, and climate change impacts. Her teaching experience includes introductory and advanced courses in sociology and medical sociology, research design, and qualitative inquiry, including the use of software for qualitative research (NVivo). She maintains extensive collaborations with researchers across multiple institutions, particularly with colleagues at UQ including Cameron Parsell, Rose-Marie Stambe, Ella Kuskoff, and Rebecca Olson. Her work bridges sociology, health studies, and social policy through interdisciplinary approaches.