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Professor Judy Kay is a leading academic in Computer Science at the University of Sydney, holding a Chair in Human-Centred Technology Research within the Faculty of Engineering and IT. Her work focuses on designing personalized systems that empower users to control their data, particularly in lifelong learning and health contexts. She leads the Human Centred Technology Research Cluster and is Editor-in-Chief of the International Journal of Artificial Intelligence in Education (IJAIED). Education: Studied at the University of Sydney, inspired to pursue academia due to its multidisciplinary environment and student collaboration opportunities. Research interests include user modeling, scrutable AI systems, and interfaces for personal informatics. Current projects span virtual reality learning environments, health data dashboards, and ethical AI transparency. Her work has led to commercialized technologies like the Personis system. Publications include over 200 peer-reviewed works in top venues like CHI, UbiComp, and AIED conferences. Awards highlight her contributions to computing education and AIED, including the 2023 Lifetime Achievement Award. Advises 4 current PhD/Master’s students focusing on topics like Open Learner Models in VR and health decision-making tools. Collaborates with multidisciplinary teams across computer science, health sciences, and education. Labs/Teams: Leads research groups in the School of Computer Science and collaborates with the Charles Perkins Centre on health-related projects.

• Artificial Intelligence in Education (AIED)
• User Modeling
• Human-Computer Interaction (HCI)
• +5 more

Professor Eduardo Velloso is an academic staff member at the School of Computer Science , University of Sydney . He is a member of the Centre for AI Trust and Governance and holds a PhD in Computer Science from Lancaster University and a Bachelor of Computer Engineering from Pontifical Catholic University of Rio de Janeiro. Teaches COMP4447/5047 - Pervasive Computing and INFO1111 - Computing Professionalism Research Interests focus on distributed collaboration in mixed reality , human-AI interaction , and HCI theory and methodology . His work integrates Engineering, Design, and Psychology to explore gaze interaction, adaptive agents, and multimodal interfaces. Key projects include Blended Whiteboard for remote MR collaboration and GazeGrip for mobile accessibility. Publication Trends show expertise in Virtual Reality , Mixed Reality , and Human-AI Interaction , with recent work on Algorithmic Recourse and Immersive Educational Tools . Awards include ACM Best Paper Awards at CHI, UIST, TOCHI, and DIS venues. Scientific Awards 2024 ACM CHI & DIS Honorable Mentions 2022 UoM-FEIT Teaching & Learning Award 2019 UoM-CIS Excellence in Research Award 2015 ACM UIST Best Paper Award Advising includes supervision of research students Marvin, Tinghui LI, and Wendi YU in projects on asynchronous MR collaboration , situationally-induced impairments , and physical environment integration . His lab explores AI-assisted interaction and context-aware computing through projects like SpinalLog and LiftSmart .

• Immersive systems (VR, AR, MR, XR)
• Human-AI interaction and intelligent user interfaces
• HCI theory and methodology
• +3 more

Dr. Sander Zwanenburg is a Senior Lecturer in Business Information Systems at Curtin University's School of Management and Marketing, within the Faculty of Business and Law. He holds an honorary appointment at the University of Otago, New Zealand, and serves as Secretary of the Australasian Association for Information Systems. He earned his BSc and MSc in Economics and Business from the University of Groningen (Netherlands) and his PhD in Management Information Systems from the University of Hong Kong. His research focuses on the psychology of personal IT use, particularly interruptions, attention, and conflicted behavior. He also develops methodological tools to overcome research obstacles. His work spans premier journals and conferences, emphasizing interdisciplinary measurement, digital distractions, and technology ethics. He actively contributes to teaching through case-method pedagogy across disciplines, including the Centre for Aboriginal Studies and Science and Engineering. Dr. Zwanenburg's recent studies include analyzing hybrid conference impacts, chatbot-driven motivation during pandemics, and children's digital screen time. His work on interdisciplinarity metrics and AR ethics bridges technical and ethical dimensions of technology. He collaborates with global teams, as seen in the Kids Online Aotearoa study. His academic leadership roles and methodological rigor underscore his contributions to the field.

• Business Information Systems
• Psychology of Personal IT Use
• Research Methodology
• +3 more

Flora Salim is a Professor in the School of Computing Technologies at RMIT University. She serves as co-Deputy Director of the RMIT Centre for Information Discovery and Data Analytics (CIDDA) and an Associate Investigator of the ARC Centre of Excellence in Automated Decision Making and Society. Her research focuses on human behavior modeling, machine learning with time-series and spatio-temporal data, and edge AI applications in IoT and wearables. Flora has secured over $10M in research funding from ARC, industry partners, and government bodies. Notable awards include the 2021 PACM IMWUT Distinguished Paper Award, 2019 Humboldt-Bayer Fellowship, and RMIT's 2018 Research Impact Award. She leads the CRUISE research group and has held visiting professorships at the University of Kassel and University of Cambridge. Editorial roles: Associate Editor of PACM on IMWUT, Area Editor of Pervasive and Mobile Computing Steering Committee member of ACM UbiComp Her work bridges ubiquitous computing and machine learning, with applications in urban analytics, mobility, and health monitoring. Recent projects include self-supervised learning for multimodal data and forecasting with heterogeneous time-series. Supervision areas: Deep learning for sensor data, explainable AI, and wearable-based emotion sensing Teaching programs: Master of Artificial Intelligence and Master of Data Science

• Machine Learning
• Time-series Analysis
• Spatio-temporal Data Mining
• +5 more

Dr. Abdur Forkan is a Senior Research Fellow in AI and Machine Learning at Swinburne University of Technology's School of Science, Computing and Emerging Technologies. He also holds honorary research positions at Peter MacCallum Cancer Centre and Northern Health. His work focuses on applied AI and machine learning across digital health, Industry 4.0, FinTech, AgriTech, and supply chain optimization. He has led over a dozen industry projects, delivering impactful solutions such as AI-driven healthcare systems, manufacturing efficiency tools, and agricultural disease prevention models. Education: PhD in Computer Science, RMIT University (2016) B.Sc. in Computer Science and Engineering, Bangladesh University of Engineering and Technology (2007) Research Interests: Data Science and Health Informatics Pervasive Computing and IoT Applications AI in Healthcare and Industry Awards: 2023 iAwards National Winner (Government/Public Sector Solution) 2023 iAwards VIC Winner (Technology Platform Solution) RMIT CSIT Publication Award (2015) Grants & Collaborations: Lead on projects with industry partners like VidVersity, Sphere Holdings, and Northern Health Focus on digital twin technologies, AI in clinical decision support, and healthcare platform development Teaching & Supervision: Sessional academic at RMIT and Swinburne Supervising HDR students on topics like AI in healthcare, greenspace health impacts, and chronic disease management

• Applied Artificial Intelligence
• Machine Learning
• Health Informatics
• +7 more

Professor Mark McMahon is a Professor of Games and Interactive Design and Director, International and Strategic, at the School of Arts and Humanities, Edith Cowan University (ECU). He holds a PhD from ECU (2005), a Master of Education (1998), and a Bachelor of Arts from The University of Western Australia (1991). His work bridges educational technology, game-based learning, and digital literacy, with a focus on serious games, problem-based learning frameworks, and cognitive assessment tools. Education: Doctor of Philosophy, Edith Cowan University, 2005 Master of Education, Edith Cowan University, 1998 Bachelor of Arts, The University of Western Australia, 1991 Research Interests: Professor McMahon’s research spans game-based learning, digital literacy, and simulation-based training. He develops tools like the eFun App to measure executive functions in students and explores immersive 3D environments for spatial cognition. His work emphasizes applying technology to enhance learning outcomes and self-regulation, with a focus on problem-based pedagogy and serious games design. Advising & Grants: Current supervisions include projects on schema complexity in problem-solving and creative media education. Completed supervisions cover topics like 3D gaming for submarine training and data visualization aesthetics. Funded projects include studies on executive functions in children and algorithmic employee matching, totaling over $500k in grants. Labs & Teams: His research involves collaborations with industry partners like CingleVue and AusIndustry, focusing on innovative educational tools and assessment systems. He leads initiatives to integrate digital literacy into curricula and supports multidisciplinary teams in project management and skill development.

• Educational Technology
• Game-Based Learning
• Digital Literacy
• +4 more

Associate Professor Damith Ranasinghe holds a position at the University of Adelaide's School of Computer Science within the Faculty of Sciences, Engineering and Technology. His research focuses on Pervasive Computing, Machine Learning, Autonomous Systems (Drones), and Cybersecurity with applications in population ageing, conservation, and software security. He leads the Adelaide Auto-ID Lab, dedicated to developing innovative solutions for real-world challenges through multi-disciplinary approaches. Ranasinghe's work emphasizes embedded systems security and adversarial machine learning defenses. His lab explores autonomous UAV-based wildlife tracking systems and wearable sensor technologies for healthcare applications like fall prevention in geriatric care. He actively supervises postgraduate students in Masters and PhD programs and has contributed to projects such as the Ambient Intelligent Geriatric Management (AmbIGeM) system. His technical contributions span firmware fuzzing methodologies (e.g., ICICLE emulator), Bayesian learning defenses against adversarial attacks, and hardware security solutions using PUF-based authentication. These innovations address critical needs in both theoretical and applied domains of computer science and engineering.

• Pervasive Computing
• Machine Learning
• Autonomous Systems (Drones)
• +5 more

Professor Sanjay K. Jha is a faculty member at UNSW Sydney , serving as a full Professor in the School of Computer Science and Engineering since 2006. He currently holds the position of Director of Research and Innovation at the school and has previously served as Interim Director , Research Director , and Chief Scientist of the UNSW Institute for Cybersecurity (IFCYBER) . He earned his Ph.D. from the University of Technology, Sydney , Australia, and has published over 300 articles in high-quality journals and conferences. His research focuses on Cybersecurity , particularly at the intersection of networking (wired/wireless) and security. Key areas include: Artificial Intelligence and Cybersecurity Generative AI for Voice Cloning Wired and Wireless Network Security Security of Mobile Devices, Body-worn Devices, and Internet of Things (IoT) Application Security He has supervised 32 PhD candidates to graduation and currently co-supervises additional students with other faculty members. His leadership in research is complemented by roles as a consultant for organizations like Canon Research Lab, DSTO, Lucent, Fujitsu, and Mitsubishi, as well as visiting positions at institutions such as Columbia University, IIT-Bombay, Oxford University, and CSIRO ICT Center.

• Cybersecurity
• Deepfake/Voice Cloning
• Critical Infrastructure Security
• +7 more

Benjamin Tag is an Adjunct Senior Research Fellow at Monash University's Department of Human Centred Computing, focusing on adaptive computing systems that enhance user experience and well-being through emotion and cognition analysis. He holds external roles including Senior Lecturer at the University of New South Wales (from 2024), Honorary Research Fellow at the University of Melbourne (since 2022), and Associate Researcher positions at Keio University and Osaka Metropolitan University (ongoing). His research explores ubiquitous computing and affective computing via commodity devices like smartphones, emphasizing context-aware systems and Human-AI Interaction. Benjamin holds a Ph.D. in Human-Computer Interaction from Keio University (2019), an M.A. in Media Design from Keio (2014), and a B.A. in English Language and Literature from Freie Universität Berlin (2009). His work aligns with UN Sustainable Development Goals, particularly in education and innovation. Research interests include emotion sensing, cognitive state assessments via physiological signals, and designing adaptive interfaces. He actively contributes to conferences such as ACM CHI, IEEE PerCom, and IEEE ISMAR, where he has organized workshops and served on program committees. His recent projects span safety in construction sites using AR, VR emotion datasets, and global power system transformation research. Benjamin has received multiple recognitions, including the ACM CHI Honorable Mention Award (2021 and 2023), ACRA Fellowship (2022), and Australia-Germany Joint Research Cooperation Scheme distinction (2022). He collaborates across disciplines and institutions to advance technology for human-centered applications.

• Affective Computing
• Human-Computer Interaction
• Ubiquitous Computing
• +3 more

Dr. Arash Mahboubi is a Senior Lecturer in Computing at Charles Sturt University's School of Computing, Mathematics and Engineering. He holds a PhD in Information Security from Queensland University of Technology (2018), a B.Sc. (First Class Honours) in Computer Security from Staffordshire University, and an M.Sc. in Information Security from the University of Technology Malaysia. Full-time Cybersecurity Lecturer at CSU since 2019 Deputy Leader of the Cyber Security Research Group (CSRG) Former Sessional Lecturer at QUT and University of the Sunshine Coast His research focuses on Information Security , Ransomware Detection , IoT Security , and Pervasive Security . Recent work explores AI-enabled secure social industrial IoT in agri-food supply chains, lightweight ransomware detection algorithms, and unauthorized UAV threats to smart farming. His publications demonstrate strong interdisciplinary applications in agriculture and cloud environments. Scientific awards include: AgriTwins Grant (2024) for Cyber-secure Emerging Technologies Charles Sturt Excellence Awards - Highly Commended (2023) C22-00224 Ransomware Resilience Grant (2021) DSRU Summer Scholarships (2021) Active in professional activities, he chairs the Cyber Security Research Group, contributes to peer-reviewed publications, and participates in industry symposia. His media appearances include cybersecurity insights on Optus data breaches and edtech security challenges.

• Information Security
• IoT Security
• Malware Detection
• +4 more

Professor Flora Salim is a leading academic at the University of New South Wales (UNSW) Sydney, holding a full Professorship in the School of Computer Science and Engineering. She serves as Deputy Director (Engagement) of the UNSW AI Institute and contributes to multidisciplinary research at the intersection of ubiquitous computing, machine learning, and data science. Human-centred AI and ethical systems Spatio-temporal data modeling Applications for climate resilience and urban mobility Her research focuses on multimodal foundation models, continual learning, and responsible AI deployment in real-world environments. She explores: Time-series and sensor data analysis Wearable and environmental sensing AI for sustainable infrastructure Robustness and trustworthiness in models Recent publications highlight her work on: Transformer-based climate downscaling Cross-modal fairness in mobility Privacy-preserving spatio-temporal generation Patient similarity networks in healthcare She has received multiple competitive fellowships including: Humboldt Fellowship Bayer Fellowship Victoria Fellowship ARC Australian Postdoctoral Industry (APDI) Fellowship Additional accolades include: Women in AI Award Australia and New Zealand (2022) IBM Smarter Planet Industry Innovation Award As Chief Investigator in: ARC Centre of Excellence for Automated Decision Making and Society (ADM+S) ARC Training Centre for Whole Life Design for Carbon Neutral Infrastructure She maintains active collaborations through: Associate position at ELLIS Alicante Visiting Professor roles at University of Kassel (2019-2020) and University of Cambridge (2019) Editorial board memberships in ACM TIST, IEEE Pervasive Computing, and Nature Scientific Data

• Ubiquitous computing
• Machine learning
• Data science
• +6 more

Associate Professor Chun Tung Chou is affiliated with the School of Computer Science and Engineering at the University of New South Wales (UNSW) . His research bridges molecular communications , signal processing , and systems biology . He holds a BA in Engineering Science from the University of Oxford and a PhD in Systems and Control Engineering from the University of Cambridge . Research Trends: Recent work focuses on molecular circuits for Bayesian information processing, 5G resource allocation , mmWave localization , and energy-harvesting sensor networks . Scientific Engagement: He serves on the editorial boards of IEEE Transactions on Molecular, Biological, and Multi-Scale Communications , Nano Communication Networks , and Frontiers in Communications and Networks . Supervision: He mentors students in interdisciplinary projects linking signal processing to biomolecular computation , requiring mathematical rigor and knowledge of molecular biology.

• Molecular Communications
• Pervasive Computing
• Network Engineering
• +4 more

Dr. Michael Sheng is a Distinguished Professor and Head of the School of Computing at Macquarie University. He previously served at the University of Adelaide's School of Computer Science for a decade in senior roles such as Interim Head of School and Deputy Head. His academic journey includes a PhD from the University of New South Wales (UNSW), a postdoc at CSIRO ICT Centre, and a visiting research fellowship at UNSW. With industry experience as a senior software engineer for six years, he bridges academia and practice. His research focuses on Web of Things, IoT, Big Data Analytics, and Service-oriented Computing. Recognized for his impact, he holds awards like the AMiner Most Influential Scholar Award on IoT (2019) and ARC Future Fellowship (2014). He leads initiatives in Smart Green Cities and is active in IEEE and ACS advisory roles. Recent projects include Revolutionizing Dynamic Pricing and Management Optimization through Synergizing Generative AI, Predictive Analytics, and Game Theory (2024–2028) and Central Bank Digital Currency – Infrastructure & Applications (2023–2028). He supervises students in cutting-edge areas like fraud detection and federated learning, as evidenced by awards like the 2021 IEEE ICDM Best Paper Award. Sheng's affiliations span multiple research centers at Macquarie, including the Frontier AI Research Centre and Smart Green Cities Research Centre, reflecting his interdisciplinary contributions.

• Web of Things
• Internet of Things (IoT)
• Big Data Analytics
• +5 more

Associate Professor Chelsea Dobbins holds a faculty position at the University of Queensland (UQ), leading the School of Electrical Engineering and Computer Science as Director of Teaching and Learning. Previously, she served as a Senior Lecturer at Liverpool John Moores University (UK). Her expertise spans Software Engineering, Digital Signal Processing, and Human-Computer Interaction with a focus on emotion detection via wearable sensors and lifelogging technologies. Education: Bachelor (Honours) of Science (Advanced) from Liverpool John Moores University Doctor of Philosophy (PhD) from Liverpool John Moores University Research Interests: Dr. Dobbins’ work integrates affective computing, digital health, and pervasive computing. Core areas include emotion detection through mobile/wearable sensors, lifelogging for memory augmentation, physiological computing, and applications in healthcare. Her research has been supported by the UK’s EPSRC, notably for developing mobile platforms to detect negative emotions during driving. Key Contributions: She pioneered studies on neuroadaptive gaming for pain distraction, smartwatch battery utilization analysis, and machine learning frameworks for fatigue detection. Her 2016 ACM award-winning work addressed multivariate mobile data mining. Impact: Featured in New Scientist and Times Higher Education Case study highlighted on Shimmer’s platform Active in interdisciplinary collaborations, bridging engineering, healthcare, and cognitive science Future Directions: Current projects explore wearable devices in cystic fibrosis management and immersive VR presence measurement. She advocates for health professional education via FHIR-based platforms and continues advancing human-centered computing solutions.

• Affective Computing
• Digital Health
• Human-Computer Interaction
• +3 more

Dr. Matthew D'Souza is a Lecturer in the School of Electrical Engineering and Computer Science at The University of Queensland (UQ). He holds a Bachelor of Engineering (Honours) and PhD from UQ. His prior roles include Postdoctoral Research Fellow and Visiting Research Scientist at CSIRO Autonomous Systems Laboratory and the Australian E-Health Research Centre. His research focuses on Pervasive Computing, Wireless Sensor Networks, Embedded Systems, Biomedical Engineering, and Cyber Physical Systems. Education: Bachelor of Engineering (Honours), UQ Doctor of Philosophy (PhD), UQ Research Interests: Pervasive & Ubiquitous Computing Wireless Communications Embedded Systems for Biomedical Applications Indoor Localization Techniques Accessibility Technologies Remote Patient Monitoring Teaching Contributions: Adapted project-based learning during the pandemic Managed hands-on labs remotely Developed educational robotics platforms Labs & Collaborations: CSIRO Autonomous Systems Lab Australian E-Health Research Centre University of Queensland's ITEE School

• Pervasive and Ubiquitous Computing
• Wireless Communications
• Wireless Sensor Networks
• +4 more