Find Academic Supervisors

• Education
• Child Development
• Cognitive Science
• +4 more

Dr. Sahar Bokosmaty is a Senior Lecturer in the School of Education at the University of Wollongong, Australia, where she has been affiliated since 2021. Her research focuses on cognitive load theory, educational assessment, and child development, particularly examining how interventions and learning environments impact self-regulation and academic integrity. She has contributed to studies on parent-child interactions, the effectiveness of educational technologies, and cross-cultural comparisons in academic ethics. Her research interests span several key areas, including cognitive load theory, educational assessment methodologies, child self-regulation development, and the impact of technology on learning. She is particularly interested in how instructional design and parental guidance influence educational outcomes, as well as issues related to academic integrity in higher education. Her work also explores the intersection of motor movements and cognitive processes in learning contexts. In terms of grants, she has received funding for a project titled Handing control over to the learner to manage split-attention in digital instructional materials: does movement aid learning? (2013). She currently supervises PhD candidates researching topics like self-regulation in cognitive load-compliant learning environments and parent-guiding behaviors for child self-regulation development. Dr. Bokosmaty is actively involved in academic service, including membership in organizations such as the Mathematics Education Research Group of Australia (MERGA), Special Learning Disability (SPELD), and the American Educational Research Association (AERA). She has also served on the board of European Collaborative for International Schools (ECIS) and Mathematical Association of NSW (MANSW).

• Biomedical Engineering
• Artificial Intelligence
• Machine Learning
• +12 more

Associate Professor Rifai Chai is a faculty member in the Department of Biomedical Engineering at the School of Engineering, Swinburne University of Technology. He serves as the Academic Director (Partnerships), reflecting his leadership in academic-industry collaboration. His research focuses on the intersection of biomedical engineering and artificial intelligence, with applications in brain-computer interfaces, medical technologies, robotics, and embedded systems. University: Swinburne University of Technology School: School of Engineering Department: Biomedical Engineering Position: Associate Professor Email: rchai@swin.edu.au His educational and professional background includes over a decade of experience in product development in hardware, firmware, and software design in Indonesia and Australia from 2000 to 2011. His research interests are extensive and include: Artificial Intelligence and Machine Learning Brain-Computer Interfaces Medical Device Design Assistive Technology (e.g., smart wheelchairs, exoskeletons) Cognitive Fatigue and Workload Monitoring Back Pain Assessment and Rehabilitation Embedded Systems EEG and Physiological Signal Processing Rifai Chai's recent publications demonstrate a strong focus on AI-driven healthcare solutions. His work spans advanced computational intelligence in medical imaging (e.g., lung cancer and thyroid cancer detection), EEG-based systems for driver fatigue and emotion classification, rehabilitation technologies using exoskeletons, and cybersecurity in industrial IoT. He employs deep learning, hybrid models (e.g., MLP-BiLSTM), and advanced signal processing techniques to solve real-world biomedical problems. His research consistently targets practical, non-invasive, and real-time applications in clinical and industrial settings. His scientific contributions include numerous high-impact publications in journals such as IEEE Access, Sensors, and Medical & Biological Engineering & Computing, as well as book chapters with Elsevier and Springer. He has secured multiple research grants from industry partners and the Australian Research Council, supporting projects in breast electromagnetic scanning, solar-powered charging poles, and haptically-enabled motion simulation. Rifai Chai actively supervises PhD and Master’s students, with current HDR projects covering areas such as brain-computer interfaces for prosthetics, cognitive workload monitoring, distracted driving detection, and AI in medical imaging. He leads a multidisciplinary research team working at the forefront of biomedical innovation. His lab integrates AI, robotics, and physiological sensing to develop technologies that improve health outcomes and human performance.

• Continuum Mechanics
• Industrial Mathematics
• Mathematical Modelling
• +6 more

Neville Fowkes is an Honorary Research Fellow at the School of Physics, Maths and Computing (Computer Science and Software Engineering Department) at The University of Western Australia. He holds a BSc and PhD from Queensland University of Technology. His research focuses on applying mathematical modelling to industrial and scientific continuum mechanics problems, with over 30 participations in international Maths in Industry Study Groups (MISGs) across countries like Indonesia, Laos, Portugal, and South Africa. Education: BSc (Qld), PhD (Qld) Research interests include crack propagation, mining tunnel collapse, concrete behavior models, ship mooring systems, groundwater flow, microwave propagation, enzyme kinetics, cancer research, and boundary tracing techniques. He has authored a widely-used textbook on industrial mathematical modelling. Notable collaborations include projects with BHP, DuPont, and Unilever, supported by grants from Fundação para a Ciência e a Tecnologia (Portugal), ARC, and others. He contributes to UN Sustainable Development Goals through industrial problem-solving initiatives. He has advised on 2 grants including 'Modelling Temperature Variations in Stationary Vehicles with Forensic Applications' (2004-2005) and 'Improved Elastomer Model for Resources Industry' (2010-2011). His consultancy includes work on laser tracker calibration and mine safety barrier design. Fowkes has established industrial mathematics programs in Laos, Portugal, Indonesia, and Thailand, and runs graduate workshops globally. He actively participates in international education initiatives, including the AIMS Postgraduate Program in Africa.

• Educational Technology
• Higher Education
• Curriculum and Pedagogy
• +3 more

Shirley Agostinho is a Professor in the School of Education at the University of Wollongong, within the Faculty of the Arts, Social Sciences and Humanities. With over 25 years of expertise in educational technology and higher education, her research focuses on leveraging digital technologies to enhance learning, particularly in empowering teachers and students through self-regulated learning strategies. She has secured over $1.5M in grants and has supervised 13 doctoral completions, earning international recognition (h-index 33, 3500+ citations). Her research interests include cognitive load theory, teacher design practices, and gesture-based learning. Notable projects include leading the ARC-funded investigation into professional learning in digitalized work contexts and contributing to the Centre of Excellence for Australian Biodiversity and Heritage, translating research into educational initiatives. She has held leadership roles, including Head of Research in the School of Education and Acting Head during the pandemic. Her publications span educational technology, cognitive science, and pedagogy, with recent work exploring artistry in teaching, multimedia learning strategies, and gesture-based interfaces. She actively supervises PhD students and drives initiatives to bridge theory and practice in higher education through the Centre for Higher Education Research, Innovation, and Impact (CHERII).

• STEM Education
• ICT in Education
• Virtual Reality in Education
• +3 more

Dr. Andy Yeh is a Senior Lecturer in the School of Education at Queensland University of Technology (QUT). His primary roles include teaching pre-service teachers in Mathematics and ICT Education and supervising higher-degree research students. He has held academic positions since 2007, focusing on teacher education and innovative STEM education practices. Dr. Yeh's research emphasizes ICT integration in education, particularly through virtual reality (VR) tools like VRMath2 and makerspace learning environments (MLE). His work explores Web 2.0, Web3D, and mobile sensor technologies to enhance STEM education. He advocates for computational thinking and maker culture as integral to 21st-century skills. Key research areas include: Virtual Reality in Education STEAM Integration Makerspace Pedagogy Semiotics in Learning His publications highlight innovative teaching methods, such as using 3D modeling and coding in classrooms. He has conducted workshops for gifted students, trained over 400 teachers in China, and contributed to international conferences on STEM and ICT in education. Dr. Yeh founded MakerClubQUT to foster cross-disciplinary maker projects and leads the development of VRMath2, an online platform for collaborative STEM learning.

Bao NguyenView profile

Research Fellow

• Healthcare Productivity and Efficiency Analysis
• Applied Econometrics and Statistics in Health Settings
• Big Data and Machine Learning Applications in Healthcare
• +3 more

Dr. Bao Nguyen is a Research Fellow at the Centre for the Business and Economics of Health (CBEH) within The University of Queensland's Faculty of Business, Economics and Law. His work focuses on healthcare productivity and efficiency analysis, applied econometrics, and big data applications in health settings. Research interests include: Productivity and efficiency analysis in healthcare environments Application of advanced statistical and econometric methods Machine learning techniques for health facility performance evaluation Research trends from recent publications emphasize healthcare efficiency modeling , policy impact assessment , and data-driven decision support systems , particularly for public hospitals and aged care services in Queensland, Australia. Supervision activities include mentoring PhD students in areas such as health system planning and hospital efficiency analysis .

Jip DekkerView profile

Research Fellow

• Constraint Programming
• Optimization
• Programming Languages
• +5 more

Jip Dekker is a Research Fellow at the Department of Data Science & AI, Monash University. His expertise lies in constraint programming, optimization, and neuro-symbolic AI. He holds a PhD from Monash University (2021), an MSc from Uppsala University (2017), and a BSc from Radboud University (2014). Research interests include constraint-based modeling languages, SAT solving techniques, hybrid optimization solvers, and applications in transportation scheduling. He has contributed to projects such as the Next-Gen Lazy Clause Generation (NLCG) and sports scheduling optimization frameworks. Recent work spans neuro-symbolic AI explainability, circadian rhythm protocols, and rail dispatch algorithms. His articles demonstrate cross-disciplinary impact across computer science, operations research, and biomedical research. Received the OPTIMA Education Award (2022) and recognition for SETU results (2020) Contributed to 6 peer-reviewed publications since 2017, with 15+ citations Advising roles include collaborative projects on sports fixtures and constraint solver development. Active in organizing international conferences like CPAIOR and AAAI, and maintains visiting researcher ties with Uppsala University.

Cameron CoombeView profile

Researcher

• Artificial Intelligence
• Robotics
• Environmental Science
• +4 more

Cameron Coombe is a PhD Researcher at the Queensland University of Technology (QUT) Centre for Robotics. His research focuses on solving the Abstraction and Reasoning Corpus (ARC) to advance AI systems capable of human-like data efficiency and error correction, with potential applications in environmental monitoring. Education: Cameron holds a dual Bachelor of Mechatronics Engineering and Environmental Science from QUT (2021). His capstone projects included designing a vision system for a tree-climbing robot and evaluating aerial photogrammetry software for engineering and scientific applications. Research Interests: His work bridges AI, robotics, and environmental science, emphasizing machine learning for complex problem-solving and soft robotics innovations. He explores how AI systems can be optimized to address real-world challenges such as environmental data analysis. Professional Experience: Before his PhD, Cameron worked at CSIRO’s Soft Robotics team, enhancing vibrational jamming grippers for industrial applications. His research integrates interdisciplinary approaches to advance robotics and AI. Labs/Teams: He is affiliated with the QUT Centre for Robotics, contributing to projects that merge theoretical AI advancements with practical robotics solutions.

• 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.

Marika KieferovaView profile

Senior Lecturer

• Quantum Computing
• Quantum Algorithms
• Quantum Simulation
• +3 more

Marika Kieferova is a Senior Lecturer at the School of Computer Science, University of Technology Sydney (UTS), and a researcher at the UTS Centre for Quantum Software and Information (QSI). She previously held a postdoctoral position at UTS and earned her PhD in Physics and Astronomy from the University of Waterloo (2019) with a cotutelle from Macquarie University. Research Interests Her work spans quantum computing, quantum simulation, and quantum information theory. Key areas include developing quantum algorithms for Hamiltonian simulation, error mitigation strategies, and entanglement-induced optimization challenges in quantum neural networks. She explores non-Abelian anyon braiding, engineered dissipation for correlated states, and bound states of interacting photons in superconducting qubit arrays. Article Trends Her recent publications focus on quantum dynamics in many-body systems, error suppression techniques, and algorithmic advancements. Topics include phase transitions in random circuits, superdiffusive quantum transport, and randomized multi-product formulas for efficient simulation. These works highlight her contributions to quantum chemistry, topological quantum computing, and NISQ-era applications. Scientific Awards QIP Best Poster Award (2020) IQC Achievement Award (2019) Grants and Leadership She leads the QB-suite grant for quantum algorithm design (2024-2027) and contributes to defense quantum optimization projects (2021-2024). She serves as an associate editor for Quantum Science and Technology and participates in peer review for Physical Review A.

• Supply Chain Management
• Supply Chain Resilience
• Industry 4.0 Technologies
• +3 more

Ethan Nikookar is a Lecturer and Deputy Discipline Leader for Supply Chain & Analytics at the University of Wollongong's School of Business. He holds a PhD in supply chain resilience and disruption management from the University of South Australia Business School. His research focuses on integrating Industry 4.0 technologies, sustainability, and human resource management to enhance supply chain resilience. Ethan has industry experience in automotive and steel manufacturing supply chains, bridging academic theory with practical applications. He coordinates courses like Advanced Supply Chain Management and Logistics Systems. His current supervision includes a PhD project exploring antifragility in supply chains using Industry 4.0 technologies. Ethan secured an Early Mid Career Researcher Enabling Grant (2024) for conference participation. His work emphasizes real-world problem-solving, particularly leveraging social media analytics and decision support systems for sustainable consumption and resilient supply chain design. Ethan’s research interests span supply chain resilience frameworks, antifragility, and the interplay between circular economy principles and urban resilience. He advocates for adaptive supply chain capabilities to address disruptions beyond traditional risks, such as pandemics and climate change impacts.

Michael BewongView profile

Senior Lecturer

• Data Science
• Artificial Intelligence
• Cyber Security
• +3 more

Dr. Michael Bewong is a Senior Lecturer in Computing at Charles Sturt University, specializing in Data Science, AI, and Cyber Security. He holds a PhD and BSc (Hons) from the University of South Australia. His roles include teaching database-related subjects and conducting research in data analytics and cyber security. Previously, he worked as a Research Fellow at UniSA, collaborating with Data to Decisions CRC on projects like 'Beat the News' (predictive data mining) and 'Predicting Cyber Security Exploits' (machine learning for vulnerability analysis). Education: PhD in Computing, University of South Australia BSc (Hons) in Computing, University of South Australia Research Interests: Focuses on applying data analytics and machine learning to solve real-world problems in cyber security, agriculture, and health. His work integrates AI-driven solutions for cyber threat detection, privacy-preserving data publication, and smart farming systems. Current projects include analyzing UAV threats to agriculture and developing frameworks for false information detection on social media. Articles Trends: Recent publications emphasize cyber security (e.g., threat hunting, exploit prediction), AI ethics (fairness algorithms), and precision agriculture (UAV threats, data-driven farming). Collaborations span interdisciplinary teams addressing challenges in graph data imputation, federated learning, and privacy techniques like LDP. Awards: Holds 12 prizes (specific names not listed in provided texts). Advising & Grants: No explicit student advisees listed. Collaborations include grants from Data to Decisions CRC and Food Agility Cooperative Centre. Labs/Teams: Affiliated with Data Science and Engineering Research Unit, Cyber Security Research Group (CSRG), and Advanced Network Research Group (ANRG) at Charles Sturt University.

• Artificial Intelligence
• Deep Learning
• Machine Learning
• +4 more

Mostafa Rahimi Azghadi is a Professor and Head of the Electrical and Electronic Engineering Discipline at James Cook University (JCU). He specializes in neural-inspired computing, machine learning, and AI applications in agriculture, aquaculture, medicine, and biosecurity. He has secured over $20M in research funding and holds leadership roles in several ARC research hubs and centers, including Deputy Director of the ARC Training Centre in Plant Biosecurity and AI Leader of the ARC Industrial Transformation Research Hub for Aquaculture. Education: PhD in Electrical and Electronic Engineering (University of Adelaide, 2014), with prior degrees from Iranian National University. Affiliations: Acting Director of JCU's Agriculture Technology and Adoption Centre, IEEE Northern Australia Section Chair, and Associate Editor of Frontiers in Neuroscience and IEEE Access. Research Interests: Focus on AI, deep learning, neuromorphic engineering, and hardware acceleration. His work spans applications in sustainable agriculture, biosecurity, and healthcare, including projects on fish phenotyping, stress monitoring via wearables, and memristive neuromorphic systems. Publications & Impact: Over 100 journal articles and conference papers. Recent work includes advances in memristive neural networks, underwater fish segmentation, and stress prediction models. His research bridges theory and practice, emphasizing real-world problem-solving. Awards: Top 2% global citation rank in EEE (2020), QLD Young Tall Poppy Science Award (2017), and multiple best paper awards. Grants & Funding: Secured major grants for aquaculture genomics, sugarcane health monitoring, and robotic weed control. Teaching: Coordinates and lectures on embedded systems and sensors. Emphasizes hands-on learning and industry relevance, with a focus on connecting theory to practical engineering challenges.

Mehran OraeeView profile

Lecturer

• Building Information Modeling (BIM)
• Digital Engineering
• Construction Technologies
• +7 more

Dr. Mehran Oraee is a Lecturer in Building Information Modelling (BIM) at the University of Melbourne's Melbourne School of Design, within the Faculty of Architecture, Building and Planning. With over 10 years of industry experience in construction roles such as project supervisor and builder, his expertise bridges academic research and practical application. His PhD focused on BIM collaboration within Architecture, Engineering, Construction, and Operations (AECO) industries, leading to the development of an integrated collaboration model for BIM-enabled organizations. Research interests include BIM implementation challenges, sustainable construction practices, digital engineering innovations, and education frameworks for T-shaped BIM professionals. He teaches BIM specialization subjects (CONS30001/CONS30002) and construction research modules (ABPL90358/ABPL90359), emphasizing collaborative problem-solving and CPS principles in education. Recent publications highlight trends in BIM legal/contractual risks, sustainable waste management, and AR adoption. His work addresses barriers in BIM integration for SMEs, curriculum design for competency frameworks, and policy incentives for green construction practices. No scientific awards are listed, but his contributions to AECO industry collaboration and education frameworks are notable. He advises on construction management and architectural disciplines, though no named students are recorded. His research aligns with the University's Future Cities and Construction Innovation priorities.

Allan SteelView profile

Research Fellow

• Computational Algebra
• Symbolic Computation
• Polynomial Factorization
• +2 more

Dr. Allan Steel is a Senior Research Fellow in the Computational Algebra Group at the School of Mathematics and Statistics, University of Sydney. He earned his PhD from the University of Sydney in 2012, specializing in the construction of irreducible representations of finite groups. His research focuses on computational algebra, symbolic computation, and the development of algorithms for computer algebra systems, particularly the Magma system. Key areas include: Polynomial factorization over global and function fields Groebner basis computation (e.g., dense F4 variant) Algebraic closure implementations Applications to cryptography (e.g., Minrank problem) His publications demonstrate a strong emphasis on algorithm design for symbolic computation, with recurring themes in algebraic structures, high-performance computing (GPU-accelerated methods), and software development for mathematical systems. His work on Magma has led to breakthroughs in solving large-scale algebraic problems. He leads the Computational Algebra Research Group and contributes to Magma's core architecture, including packages for exact linear algebra and Groebner basis computation.