Find Academic Supervisors

Niusha Shafi AbadyView profile

Associate Professor

• Computational Intelligence
• Machine Learning
• Data Analytics
• +7 more

Niusha Shafi Abady is an Associate Professor at Charles Darwin University's Faculty of Science and Technology (Sydney Campus), specializing in Computational Intelligence and its real-world applications. Her expertise spans Machine Learning, Data Analytics, and Expert System Design, with a focus on bridging academia and industry through AI-driven solutions. She is the inventor of a computational optimization algorithm and founder of Ai-Labz (https://www.cognobit.com/ai-labz), a predictive analysis tool for businesses. Her research emphasizes smart decision-making systems for energy storage, healthcare, and sustainable development goals. Key research areas include Particle Swarm Optimization, Proton-Exchange Membrane Fuel Cells, Virtual Reality applications, and Fuzzy-Neural Systems. She has collaborated internationally on projects addressing energy efficiency, medical diagnostics, and agricultural monitoring. Awards: Fellow of the Higher Education Academy (UK) Labs/Teams: Ai-Labz (Cognobit) Grants/Advising: Supervised numerous HDR candidates and developed industry-academia partnerships. Her recent publications explore XAI in smart buildings, quantum machine learning, and AI ethics, reflecting her commitment to both technological innovation and societal impact.

Yeslam Al-SaggafView profile

Professor

• Cyber Security
• Computing Ethics
• Sociological Impacts of Technology
• +3 more

Professor Yeslam Al-Saggaf is a Professor in Computing at Charles Sturt University (CSU), where he has served since 2003. He holds a BEng(Hons) in Computer and Information Engineering from Malaysia, and both an MInfoTech and PhD from CSU. His research focuses on cybersecurity, ethical implications of technology, and the psychological and sociological impacts of digital behavior. He has authored The Psychology of Phubbing (Springer, 2022) and secured significant funding, including three Australian Research Council (ARC) grants (as Lead Chief Investigator) and an Australian Government Cyber Security grant. His work spans cybersecurity education for children, workplace ethics, and data governance in agriculture. Al-Saggaf’s research highlights include analyzing smartphone privacy risks among adolescents, developing IoT-based educational tools for children, and exploring the psychological effects of 'phubbing' (phone snubbing). His interdisciplinary approach integrates data mining, decision tree modeling, and sociological analysis to address real-world challenges in technology usage and security. Recent projects emphasize agricultural data exchange security and the ethical dimensions of computing education. Education: BEng(Hons) (Malaysia), MInfoTech and PhD (Charles Sturt University) Grants & Awards: ARC grants (2023–2025), Australian Government Cyber Security Grant Key Themes: Cybersecurity education, phubbing psychology, data governance, workplace ethics His work bridges technical innovation with human-centric challenges, advocating for inclusive language in cybersecurity communication and addressing societal impacts of emerging technologies.

• Media Literacy Education
• Media Arts Education
• Digital Technologies
• +3 more

Dr. Amanda Levido is a Lecturer in the Faculty of Education at Southern Cross University, focusing on media arts and media literacy education. Her research explores young children's use of digital media technologies in formal and informal learning environments. She is an Affiliated Investigator with the ARC Centre of Excellence for the Digital Child, contributing to interdisciplinary studies on digital childhood. Her work emphasizes the intersection of technology, education, and child development, particularly in primary school contexts. Research interests include media literacy, digital technologies in education, and the sociocultural implications of children's media practices. She has published extensively on topics such as algorithmic literacies, media clubs, and the ethical dimensions of digital childhood research. Her recent projects investigate the impact of the pandemic on arts education and the role of toys like ringlights in shaping media practices. Dr. Levido's publications reflect a focus on bridging theory and practice, with contributions to pedagogical frameworks for media literacy and critical analyses of digital childhood industries. She actively participates in educational initiatives like the Newshounds Media Literacy Project and the Digital Child Ethics Toolkit development. Her work highlights the need for holistic approaches to preparing children for digital citizenship.

Mathieu O'NEILView profile

Professor

• Political Communication
• Digital Commons
• Peer Production
• +4 more

Mathieu O'NEIL is a Professor of Communication at the University of Canberra’s Faculty of Arts and Design and an Honorary Associate Professor of Sociology at the Australian National University. His work bridges political communication, sociology, and computational social science. He co-founded the Virtual Observatory for the Study of Online Networks and leads the Digital Commons Policy Council, advocating for sustainable digital infrastructure policies. His research focuses on peer production, misinformation mitigation, and information literacy in education. Key projects include detecting online echo chambers (funded by Volkswagen Foundation) and designing media literacy resources for schools (ACT Education Directorate grants). Education: Previously held roles at Université Stendhal - Grenoble 3, ANU, and Université Paris Sorbonne. Worked as a magazine editor and researcher for the Australian Department of Broadband, Communications and the Digital Economy. Research interests emphasize digital commons governance, open source software sustainability, and combating misinformation through civic education. Recent work explores how AI and social media platforms shape political deliberation. His articles analyze topics like GitHub collaboration, misinformation strategies, and policy frameworks for digital commons. Grants include projects on political deliberation systems (2021-2024) and teacher-librarian collaborations for information resilience (2024-2026). Labs/Teams: Leads the News and Media Research Centre at UC, collaborates with international teams on digital infrastructure projects, and advises ACT schools on media literacy programs.

• Artificial Intelligence
• Data Analytics
• Machine Learning
• +3 more

Professor Xiaohui Tao is a distinguished academic at the University of Southern Queensland's School of Mathematics, Physics and Computing, leading the Computing Discipline Team and chairing the ICT Programs Governance Committee. He holds a PhD in Information Technology from Queensland University of Technology (2009). His research focuses on artificial intelligence, machine learning, and health informatics, with over 200 publications in top journals like IEEE TKDE and conferences such as AAAI and IJCAI. He has mentored 10 doctoral students and leads a research group developing real-world AI applications. Education: PhD in Information Technology, Queensland University of Technology, 2009 Research Interests: Dr. Tao's work spans AI-driven health informatics, machine learning algorithms, natural language processing, and privacy-preserving technologies. His projects address critical challenges like mental health monitoring, smart healthcare systems, and privacy in 5G/IoT environments. Recent advancements include federated learning for unlearning mechanisms and multimodal fusion for medical decision support. Grants & Awards: Awarded Australia Research Council grants (DP220101360), Australian Endeavour Fellowships, and multiple best paper awards at conferences like BESC’22 and WI-IAT’20. Recognized for contributions to remote patient monitoring and AI in depression treatment. Labs & Teams: Leads a research group focused on AI applications in healthcare and data science, collaborating on projects like computational social science for mental health and privacy-preserving IoT systems.

• Mathematics
• Physics
• Computing

Jefferson Sauter serves as an Adjunct Research Fellow at the University of Southern Queensland's School of Mathematics, Physics and Computing, contributing to interdisciplinary research initiatives across mathematical sciences, physical sciences, and computational disciplines. His research profile spans core academic domains including: Mathematical theory and applications Physics principles and experimental frameworks Computing systems and algorithmic development This tripartite focus enables cross-domain collaboration within the university's scientific research infrastructure.

• Machine Learning
• Neurology
• Ecology
• +3 more

Dr. Shri Rai is a Lecturer in the School of Information Technology at Murdoch University, affiliated with the College of Science, Technology, Engineering and Mathematics. His work bridges machine learning applications in medical diagnostics and ecological conservation, with a focus on spinal cord injury prediction and biodiversity management. Education details are not explicitly provided in the text, but his research spans interdisciplinary areas combining IT with healthcare and environmental science. He has contributed to studies on neurological deterioration prediction using machine learning, post-fire reptile succession, and habitat restoration strategies for endangered species. Key research interests include machine learning for medical imaging (e.g., MRI standardization), ecological succession patterns post-disturbance, and conservation strategies for threatened reptiles. His work often integrates technological solutions with ecological challenges, such as developing algorithms for early disease detection and habitat recovery metrics. Publications highlight a dual focus on clinical medical research (e.g., cervical myelopathy prognosis) and ecological restoration (e.g., post-mining rehabilitation). While no awards are listed, his contributions to interdisciplinary research demonstrate significant academic engagement. Advising and grants information are not detailed in the provided text, but his involvement in collaborative projects like the Canadian Spine Society and Australian conservation programs suggests active participation in academic networks. Rai’s affiliation with Murdoch University’s IT school positions him to advance computational methods for solving complex ecological and healthcare challenges, emphasizing data-driven solutions in both medical and environmental domains.

Sam HintonView profile

Associate Professor

• Digital Media
• Virtual Reality
• Augmented Reality
• +8 more

Dr Sam Hinton is an Associate Professor in Digital Media & Design at the University of Canberra. With over 20 years of experience in internet-related media, he has expertise in virtual/augmented reality, real-time graphics, location-based gaming, computational design, and creative data visualization. He co-authored the textbook Understanding Social Media (2013, 2019) and has contributed to digital arts through exhibitions like Beauties and Beasts (2017). Education : PhD in Critical Theory of the Internet (La Trobe University, 2006); BA in Professional Writing (1992) Research Focus : Technical and social aspects of digital technologies, including networked learning, social software, and digital education Projects : Lead and co-investigator roles in 8 projects (2007–2023), including research on the Australian games industry, Indigenous media tools, and urban digital activation His recent work explores Indigenous news amplification through digital listening tools, defense applications of AR/VR for well-being, and artist residencies for creative resilience. Sam actively supervises PhD students and collaborates across disciplines in digital innovation.

• Renewable Energy Systems
• Solar Energy Forecasting
• Power Electronics
• +3 more

Dr. Yang Du is a Senior Lecturer at James Cook University (JCU) in Cairns, Australia, specializing in Electronic Systems and IoT Engineering. He holds a Ph.D. in Electrical Engineering from The University of Sydney (2013) and has held academic positions at Xi'an Jiaotong-Liverpool University (2014–2018) and a visiting scientist role at MIT (2018). His research focuses on renewable energy systems, solar forecasting, and smart grid technologies. He has been recognized in the World’s Top 2% Scientists List by Stanford University and has authored numerous publications in top-tier journals. Education: Ph.D. in Electrical Engineering, The University of Sydney, Australia (2013) Postdoctoral Research Fellow at Masdar Institute of Science and Technology, UAE (2013–2014) Dr. Du’s research interests revolve around optimizing renewable energy integration, particularly in photovoltaic systems, energy storage, and advanced control strategies using machine learning. His work emphasizes predictive modeling for solar power ramp-rate control, federated learning frameworks for distributed energy systems, and the application of AI in IoT-driven energy management. Recent projects include ADMM-LSTM frameworks for load forecasting and thermal analysis of power devices. His publications highlight contributions to energy forecasting, grid stability, and adaptive control mechanisms. Notable achievements include developing solar forecasting models using GANs and sky images, and exploring peer-to-peer energy trading mechanisms with penalty adaptations. He actively collaborates with institutions like MIT and maintains an honorary position at Xi’an Jiaotong-Liverpool University. Dr. Du’s work addresses challenges in energy systems, such as mitigating PV power fluctuations and enhancing grid resilience through predictive analytics. His research has practical applications in microgrids, energy storage optimization, and sustainable power distribution. He has been awarded 33 academic accolades, including recognition for his impactful contributions to renewable energy research.

• Cyber Security
• Information Systems
• Artificial Intelligence
• +5 more

Mahdi Fahmideh is an Associate Professor in Cyber Security at the School of Business, University of Southern Queensland. He holds a PhD in Information Systems from UNSW Australia and has extensive industry experience as an analyst programmer. His research focuses on cybersecurity, information systems development, and the application of emerging technologies including AI, blockchain, cloud computing, and big data in business contexts. Fahmideh leads research in two primary areas: 1) Development methods for digital transformation in IT-based organizations, particularly systems using ABCD technologies (AI, Blockchain, Cloud, Big Data), and 2) Design science research methodologies. His current projects investigate Generative AI applications in business organizations and software development. His significant awards include research excellence awards from UniSQ, publication awards from UOW, best paper awards, and visiting research fellowships in Finland and Sweden. He serves as associate editor for ACM Computing Surveys and has secured research funding from ARC and international agencies.

John SwinsonView profile

Professor

• Intellectual Property Law
• Privacy Law
• Cybersecurity Law
• +5 more

Professor John Swinson is a distinguished academic and legal expert at the TC Beirne School of Law, The University of Queensland. He holds a Professorial rank, specializing in intellectual property law, cybersecurity law, AI law, and the intersection of technology with legal frameworks. His career spans academia, legal practice, and policy advisory roles. Swinson graduated with a University Medal in Law from UQ, a Bachelor of Arts in Computer Science, and an LL.M. from Harvard as a Fulbright Scholar and Frank Knox Scholar. Education: Bachelor of Arts (Computer Science), University of Queensland (1986) Bachelor of Laws (Honours and Gold Medal), University of Queensland (1988) LL.M., Harvard Law School (1991) Professional Roles: Professor of Law at The University of Queensland (since 2017) Former Partner at King & Wood Mallesons (1999–2021) WIPO Domain Name Panelist (2000–present, adjudicating 720+ cases) His research focuses on emerging legal challenges in digital spaces, including AI ethics, cybersecurity compliance, privacy rights, and domain name disputes. He actively contributes to policy development, such as submissions to Australia’s Cyber Security Strategy and Privacy Act reforms. Research Highlights: Swinson’s work bridges technical innovation and legal frameworks, addressing topics like AI-generated art’s copyright implications, cybersecurity litigation trends, and the legal governance of digital platforms. He frequently publishes in Computer and Telecommunications Law Review , Art and Australia , and other journals. Awards and Honors: Fulbright Scholar (1990) Frank Knox Scholar (1991) University Medal in Law, UQ (1988) Grants and Advising: Swinson has advised on major policy reviews, including the auDA Domain Name Policy Reform (2019) and Queensland’s Privacy Framework. His work emphasizes practical legal solutions for technological advancements, ensuring laws adapt to evolving digital ecosystems.

Youngsoo JangView profile

Lecturer

• Macroeconomics
• Public Policies
• Family Economics
• +6 more

Dr. Youngsoo Jang is a Lecturer (equivalent to Assistant Professor) in the School of Economics at The University of Queensland, Australia. His primary affiliations include the School of Economics within the Faculty of Business, Economics and Law. His research focuses on Macroeconomics, Public Policies, Family Economics, and Computational Methods. He explores topics such as credit markets, health insurance, tax policies, labor supply dynamics, and the economic impacts of education policies. Key research trends in his publications include analyzing the macroeconomic implications of public policies (e.g., school closures, tax systems), modeling household decision-making under uncertainty, and advancing computational methods for solving complex economic models. His work bridges theoretical frameworks with quantitative analysis to address real-world policy challenges. Dr. Jang holds no listed scientific awards but has published in high-impact journals such as the International Economic Review , Quantitative Economics , and American Economic Journal: Macroeconomics . He is available for academic supervision and can be contacted via email or his office at the Colin Clark Building, St Lucia campus.

Shakes ChandraView profile

Senior Lecturer

• Medical Imaging
• Deep Learning
• Biomedical Engineering
• +4 more

Dr. Shakes Chandra is a Senior Lecturer at the University of Queensland, leading a research team focused on medical image analysis and deep learning. He holds a Ph.D. in Theoretical Physics from Monash University and has over a decade of experience applying machine learning to medical imaging. His work integrates mathematical concepts like fractals and group theory into imaging algorithms, with applications in MRI reconstruction, musculoskeletal analysis, and disease prognosis. Affiliations: School of Electrical Engineering and Computer Science, University of Queensland Co-leads the Chaotic Sensing research initiative Collaborator with Siemens Medical Solutions Research Interests: Medical imaging (MRI/CT segmentation, artifact suppression) Deep learning applications in healthcare Computational imaging and signal processing Mathematical foundations of imaging systems Key Projects: Developed Chaotic Sensing framework for faster MRI using fractal sampling patterns Automated tools for knee/hip joint segmentation deployed in clinical platforms Leader of a 20+ researcher team in AI-driven medical imaging Grants & Collaborations: Principal investigator on multi-center TBI prognosis studies (PREDICT-TBI trial) Industry partnerships with Siemens Healthcare Active in translational research bridging physics/mathematics with clinical applications Teaching: Course leader for Theory of Computation and Pattern Recognition & Analysis Advances rapid application development frameworks for biomedical imaging

John WilliamsView profile

Associate Professor

• Reconfigurable Computing
• Real-Time Embedded Systems
• 3D Computer Vision
• +3 more

Associate Professor John Williams holds dual roles as Deputy Director of Cyber Security and faculty member at the School of Electrical Engineering and Computer Science, University of Queensland. His academic journey includes a PhD (2001) and undergraduate degrees (1995) in Electronic Engineering and Information Technology from Queensland University of Technology (QUT). Research Focus: Reconfigurable computing architectures Real-time embedded systems 3D computer vision and imaging Cyber security solutions Key Contributions: Edited the 2004 IEEE International Conference on Field Programmable Technology proceedings Developed the Egret platform for reconfigurable systems-on-chip Published 5 journal articles and over 20 conference papers Professional Affiliations: Member of IEEE for over 20 years, contributing to standards and interdisciplinary cyber security initiatives at UQ.

Hongfu SunView profile

Research Fellow

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• Deep Learning
• +3 more

Dr. Hongfu Sun is an Honorary Senior Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland (UQ). He holds a PhD in Biomedical Engineering from the University of Alberta (2015) and completed postdoctoral training in Calgary until 2018. He joined UQ in 2019 and was awarded the ARC DECRA Fellowship in 2021. His research focuses on advanced MRI techniques, particularly Quantitative Susceptibility Mapping (QSM), fast MRI acquisitions, and deep learning applications for medical imaging. Dr. Sun’s work bridges biomedical engineering, image processing, and neurosciences. His research interests include developing novel MRI contrast mechanisms, optimizing image reconstruction algorithms, and applying AI-driven methods to enhance clinical diagnostics. He collaborates with teams in imaging, sensing, and biomedical engineering at UQ’s School of ITEE. Research Areas: QSM, deep learning, MRI acceleration, neurological disease imaging. Awards: ARC DECRA Fellowship (2021). He actively supervises graduate students in biomedical engineering and medical imaging. His publications span journals like NeuroImage , Magnetic Resonance in Medicine , and Frontiers in Neuroscience .