Find Academic Supervisors

• Materials Science
• Photocatalysis
• Energy Storage
• +3 more

Dr. Haoxin Mai is a Research Fellow in the School of Science at RMIT University, focusing on advanced materials science and catalysis. His work emphasizes the design and application of photocatalysts, perovskite materials, and nanomaterials for energy storage, environmental remediation, and sustainable technologies. He leverages machine learning and computational methods to accelerate the discovery of novel materials. Current affiliations include RMIT’s City Campus, Australia, with active collaboration networks in materials research. Research interests include: Development of lead-free perovskite photocatalysts Machine learning-driven materials design Synthesis of Magnéli phase titanium oxides and carbon nitride composites Applications in CO₂ reduction, water purification, and renewable energy systems Notable research trends: Recent articles (2023–2025) highlight advancements in defect-engineered carbon nitride, data-driven perovskite phosphors, and atom substitution strategies for lead-free photocatalysts. His work bridges computational modeling with experimental synthesis, emphasizing sustainability and scalability. Supervision projects: Electrode design for electrochemical CO₂ reduction Spatially orthogonal nanomaterials for catalytic cascades Labs/Teams: His research is embedded within RMIT’s School of Science, collaborating on interdisciplinary projects involving nanomaterials and energy systems.

Luis Pedro CoelhoView profile

Associate Professor

• Computational Biology
• Microbiome Research
• Antimicrobial Peptides
• +3 more

Associate Professor Luis Pedro Coelho is a faculty member at Queensland University of Technology (QUT), holding positions in the School of Biomedical Sciences and serving as an ARC Future Fellow. His academic rank is Associate Professor. He earned a PhD in Computational Biology from Carnegie Mellon University, an MSc in Computer Science from Instituto Superior Técnico, and a BSc in Computer Science from the same institution. Research Interests: Coelho’s work focuses on computational biology, microbiome research, and the application of machine learning to study antimicrobial peptides and microbial diversity. His lab explores topics such as antibiotic resistance gene annotation, functional genomics, and bioinformatics tool development. His research has implications for understanding global microbiome dynamics and developing novel antimicrobial therapies. Teaching & Supervision : Coelho teaches scientific communication and software carpentry. He currently supervises research students in topics like microbial small protein discovery and computational methods for microbiome analysis. He has taught programming for scientists at Carnegie Mellon and is a certified Software Carpentry instructor. Awards : Highlights include the Highly Cited Researcher (2022-2023), Zhicheng Teaching Award (2021), Siebel Scholar (2012), and Fulbright Fellowship (2006). His work has been recognized for both academic excellence and innovation in teaching and research. Labs & Affiliations : He leads the Microbiome Research Group at QUT and is affiliated with the Centre for Microbiome Research. His collaborations span institutions like Fudan University (China), the European Molecular Biology Laboratory (EMBL), and the Instituto de Medicina Molecular (Portugal). Grants & Funding : His research is supported by ARC Future Fellowships and grants focused on sustainable bioinformatics software and microbial diversity studies.

Sourav GargView profile

Research Fellow

• Computer Vision
• Robotics
• Deep Learning
• +4 more

Dr. Sourav Garg is a Research Fellow at QUT's School of Electrical Engineering and Robotics, affiliated with the QUT Centre for Robotics and the Australian Centre for Robotic Vision (ACRV). He holds a PhD from QUT (2019) and specializes in robotic vision, with a focus on visual place recognition, scene understanding, and robot navigation. His research emphasizes practical applications, such as localization using visual semantics and addressing viewpoint and scene appearance challenges. Dr. Garg's work has been recognized with awards including the Executive Dean's Commendation for his thesis and the SAGE QUT Publication Prize. He has published extensively in top-tier venues like the International Journal of Robotics Research (IJRR), IEEE ICRA, and ECCV. His research has been featured in media outlets such as Brisbane Times and Engineers Australia. Education: PhD in Robotics from QUT (2019) Affiliations: QUT Centre for Robotics, ACRV Research Affiliate Research Highlights: Pioneered semantic-geometric approaches for place recognition, developed open-source tools like OpenSeqSLAM2.0, and explored multi-resolution and multi-scale fusion techniques for visual localization. His contributions span collaborations with government organizations and industry, focusing on applications in autonomous systems, drones, and indoor robots.

Catarina Pinto MoreiraView profile

Adjunct Associate Professor

• Quantum Probabilistic Models
• Machine Learning
• Deep Learning
• +3 more

Dr. Catarina Pinto Moreira is an Adjunct Associate Professor in the School of Computer Science at Queensland University of Technology (QUT). She holds a PhD in Information Systems and Computer Engineering from the University of Lisbon and specializes in quantum probabilistic models, machine learning, and explainable AI. Her research focuses on developing non-classical probabilistic graphical models for decision-making, particularly in medical and cognitive contexts. She has been recognized with awards such as the Dean's Award for Excellence in Teaching (2018) and the Centre for Data Science 2020 Excellence Award. Dr. Moreira is an Associate Editor for BMC Bioinformatics' 'Artificial Intelligence in Bioinformatics' section, emphasizing applications of machine learning in biological data. She actively supervises PhD students in areas like interpretable AI and predictive process analytics. Her academic roles include teaching at QUT and the University of Leicester, where she contributed to courses in information systems, finance, and artificial intelligence. Her work bridges quantum cognition, medical decision support, and human-centered AI, with publications spanning journals like Behavioral and Brain Sciences and Entropy . She has secured grants totaling $20,000 for research in Explainable AI and causality. Dr. Moreira's contributions to AI ethics, multimodal learning, and adversarial attacks reflect her commitment to advancing trustworthy AI systems.

• Public Policy
• Public Administration
• Evidence-based Policy
• +4 more

Joshua Newman is an Associate Professor in the Department of Politics & International Relations at Monash University's School of Social Sciences. His research focuses on public policy decision-making mechanisms, policy design, and the interactions between governments and private sectors. He holds a BA from Concordia University, a BEng from McGill University, an MA from Queen's University, and a PhD from Simon Fraser University. His research interests include policy networks, public-private partnerships, evidence-based policy, and climate governance. He has led projects on housing policy administration, disaster response under climate change, and regulatory frameworks. Newman is actively involved in supervising PhD students and contributes to policy analysis in multi-level governance systems. Recent projects include evaluating government machinery for housing policies and assessing climate change impacts on military resources. His work addresses interdisciplinary collaboration challenges, research impact strategies, and the ethical use of AI in policy analysis.

Pari Delir HaghighiView profile

Senior Lecturer

• Ubiquitous Computing
• Context-aware Computing
• Mobile Health
• +4 more

Pari Delir Haghighi is a Senior Lecturer in the Department of Human Centred Computing at Monash University's Faculty of Information Technology. She holds a PhD in Computing (2010) and a Bachelor of Computer Science (Honours) from Monash University (2004). Her research focuses on ubiquitous computing, context-aware systems, mobile health, and AI-driven decision support. She has pioneered solutions for chronic disease management, emergency response systems, and healthcare data integration. Notable projects include developing the DO4MG ontology for emergency management, AI-powered construction safety systems, and mobile interventions for eating disorders. She has led 13 research projects, including collaborations on digital health, safety engineering, and body image interventions. Her work aligns with UN Sustainable Development Goals related to health and education. Teaching contributions include awards for Honours supervision (2014) and student learning excellence (2020). She teaches courses such as Mobile and Distributed Computing Systems and Systems Analysis and Design. Pari actively organizes conferences like the International Conference on Advances in Mobile Computing and Multimedia. Her lab, the Data Visualisation and Immersive Analytics Research Lab, explores innovative visualisation techniques. Current research emphasizes culturally inclusive digital health interventions, LLM auditing for harmful content detection, and IoT middleware benchmarking. She advises on interdisciplinary projects, fostering collaboration between IT and healthcare sectors.

• Hydrological Modeling
• Environmental Engineering
• Bayesian Inference
• +3 more

Professor Dmitri Kavetski is a faculty member in the School of Architecture and Civil Engineering at the University of Adelaide, specializing in Environmental Engineering. His work focuses on developing advanced hydrological models and Bayesian methods for uncertainty analysis, including the Bayesian Total Error Analysis (BATEA) framework. He collaborates internationally with institutions like the Swiss Federal Institute for Aquatic Science and Technology (EAWAG) and the US National Center for Atmospheric Research (NCAR). His research emphasizes probabilistic predictions, numerical algorithms, and improving water resource management through robust modeling techniques. Research interests include Bayesian inference, hydrological modeling, numerical analysis, and climate impacts. His contributions to frameworks like BATEA have been applied in operational forecasting systems, such as the Australian Bureau of Meteorology’s seasonal predictions. He is actively involved in supervising postgraduate students and has secured significant research funding. Publications highlight advancements in probabilistic hydrology, subseasonal forecasting, and model adequacy testing. His work bridges theoretical developments with practical applications, addressing challenges in ungauged basins and ephemeral catchments. Collaborations span global institutions, reflecting his commitment to advancing environmental engineering through interdisciplinary approaches.

• Structural Engineering
• Composite Structures
• Steel Structures
• +3 more

Dr. Yifan Zhou serves as a Lecturer in Structural Engineering within the Department of Civil, Environmental and Mining Engineering at The University of Western Australia's School of Engineering. Her academic appointment integrates teaching responsibilities with active research in advanced structural systems. Education PhD in Structural Engineering, University of Sydney (dissertation focused on stainless steel–concrete composite structures) Her research program centers on the performance and design of steel/composite structural systems, with growing emphasis on interdisciplinary applications. Key research thrusts include: (1) Mechanical behavior of stainless steel composite elements under extreme loads; (2) Integration of machine learning for structural health monitoring; (3) Sensor technology applications in predictive maintenance; (4) Development of data-informed design methodologies. This work directly contributes to UN Sustainable Development Goals related to sustainable infrastructure. Recent publications (2021-2025) demonstrate consistent focus on stainless steel composite structures, evolving from fundamental beam/column mechanics toward machine learning applications in marine environments. The research trajectory shows increasing interdisciplinary collaboration while maintaining core structural engineering rigor. Dr. Zhou actively supervises HDR candidates as indicated by her acceptance of PhD students through UWA's research portal. Her teaching portfolio includes coordinating CIVL3404/4404 Structural Steel and CIVL5552 Civil Structural Design Project, featuring industry-integrated pedagogies and authentic assessments. Professional engagement includes membership on Standards Australia Committee panel for AS/NZS 2327 revision, translating research into national design standards. This positions her work at the critical interface between academic research and engineering practice.

• Corporate Governance
• China’s Economic and Financial Reform
• Foreign Investment
• +7 more

Professor On Kit Tam is a Professor of Finance at RMIT University and Vice President of the Australia China Business Council Victoria. His academic journey includes prior roles as Deputy Pro Vice-Chancellor (Business International) at RMIT and Deputy Dean of the Faculty of Business and Economics at Monash University. He has held visiting/adjunct positions at global universities and served as a PhD lead supervisor at UNSW, ANU, Monash, and RMIT, mentoring students who earned prestigious research awards. His research focuses on corporate governance, China’s economic reforms, foreign investment, and capital markets, yielding significant grants and awards. Professor Tam has advised international organizations and corporations, including directorships at a China-based fund management company (Commonwealth Bank of Australia affiliate) and the Royal District Nursing Services. His work bridges academic contributions with practical industry insights, emphasizing cross-border financial strategies and institutional development. Research Interests: Professor Tam’s work spans corporate governance mechanisms, China’s financial system evolution, and the impact of globalization on emerging markets. He explores themes such as ownership structures, fund performance evaluation, and the environmental implications of trade policies. His recent studies incorporate AI/ML techniques for analyzing fund behaviors and evaluating investment strategies. Professional Contributions: Beyond academia, Professor Tam’s advisory roles and board memberships reflect his expertise in translating research into real-world solutions. His publications (over 50 articles) span topics from cross-border M&A success factors to the governance of Chinese financial institutions. He frequently collaborates internationally, contributing to policy discussions on financial reforms and market accessibility.

Craig MunnsView profile

Professor

• Paediatric Musculoskeletal Disorders
• Bone Disorders
• Endocrinology
• +3 more

Professor Craig Munns is the Mayne Professor of Paediatrics and Director of the Child Health Research Centre at The University of Queensland. He is also a Senior Medical Officer at Queensland Children’s Hospital. His expertise spans paediatric musculoskeletal disorders, with a focus on bone disorders such as osteogenesis imperfecta, hypophosphataemic rickets, and nutritional rickets. He has authored international consensus guidelines and led numerous clinical trials. Prof. Munns holds roles in national and international societies, including treasurer of the International Society of Children’s Bone Health. He graduated from UQ, completed a PhD in paediatric growth disorders, and held roles at The Children’s Hospital at Westmead until 2021. His research emphasizes improving bone health outcomes through advanced therapies and clinical guidelines. Research interests include genetic and metabolic bone disorders, clinical trials, and vitamin D’s role in bone health. His work has led to global guidelines on nutritional rickets prevention. He oversees grants such as the Australian Cerebral Palsy Musculoskeletal Health Network and supervises PhD/Master’s students in bone-related research. Labs/Teams: Director of the Child Health Research Centre, leading multidisciplinary teams in paediatric bone health and translational research.

• Corporate Social Responsibility
• Prison Reform
• Big Data
• +4 more

Professor Max Baker is a leading academic in accounting, regulation, and governance at the University of Sydney Business School. He holds a BBus (Hons) from UTS and a PhD from the University of Sydney. As Research Director of the Discipline of Accounting, Regulation and Governance, his work bridges academic research and policy impact, particularly in prison reform, corporate social responsibility, and big data accountability. His research examines the costs and performance of private prisons in Australia, leveraging collaborations with parliamentary inquiries. He has pioneered studies on how technology—specifically data breaches and surveillance capitalism—impacts transparency and democracy. Baker has secured significant grants, including an ARC Discovery Grant (2022) to study corporate data breach disclosures. Teaching focuses on management accounting and contemporary business issues. His publications span top journals like Accounting, Auditing and Accountability Journal and Critical Perspectives on Accounting . He serves on editorial boards for key accounting journals, emphasizing scholarly rigor and societal relevance. Education: BBus (Hons), UTS; PhD, University of Sydney Key Projects: ARC-funded data breach research, prison privatization studies Media Engagement: Commentator on Optus data breach, privacy law reforms Baker’s research often intersects with public policy, advocating for accountability frameworks in both corporate and governmental contexts.

• Urban Design
• Architecture
• Sustainable Urban Development
• +12 more

Professor Marcus White is a distinguished academic and practitioner in architecture and urban design at Swinburne University of Technology, where he serves as Professor in the School of Design and Architecture. He co-directs the architectural firm Harrison and White Pty Ltd and leads the Spatio-Temporal Research Urban Design and Architecture Lab (STRUDAL) at Swinburne. His work bridges academia and professional practice, focusing on sustainable urban development, digital design, and healthcare environments. Education: PhD in Spatial Information Architecture, RMIT University (2009) Professor White’s research centers on innovative urban design solutions using computational methods such as parametric modeling, agent-based systems, virtual and augmented reality, and machine learning. His work addresses critical urban challenges including walkability, noise pollution, aging populations, and equitable access to public space. He also pioneers patient-centered design in stroke rehabilitation, integrating clinical insights with architectural innovation through Living Lab frameworks and VR-based co-design. His recent publications span topics such as pedestrian safety in metro stations, traffic noise annoyance mapping, AI-based SDG classification, and age-friendly urban design. These works reflect a consistent trend toward interdisciplinary, human-centered, and data-driven approaches to shaping healthier, more sustainable cities. Scientific Awards: National Citation for Outstanding Contributions to Student Learning Venice Biennale selection (2010, 2025) Victorian Architecture Medal (2018) Australian Institute of Architects Urban Design and Jackson Educational Awards (2018) European Healthcare Design Award (2022) RAIA Haddon Travelling Scholarship (2002) AIA National Emerging Architect Award Professor White actively supervises PhD students and has secured major grants from the Australian Research Council (ARC), The Florey Institute, and iMOVE Australia. His leadership in projects like NOVELL (Neuroscience Optimised Virtual Environments Living Lab) demonstrates a strong commitment to translating research into real-world impact. He collaborates extensively with clinicians, urban planners, and technologists to advance evidence-based design across sectors. Labs and Teams: Spatio-Temporal Research Urban Design and Architecture Lab (STRUDAL) NOVELL (Neuroscience Optimised Virtual Environments Living Lab) Collaborations with The Florey Institute of Neuroscience and Mental Health ARC Training Centre for Next-Gen Architectural Manufacturing

Ulrik WisløffView profile

Professor

• Exercise Physiology
• Cardiovascular Physiology
• High Intensity Interval Training
• +3 more

Ulrik Wisløff serves as an Honorary Professor in the School of Human Movement and Nutrition Sciences at the University of Queensland and heads the Cardiac Exercise Research Group and K.G. Jebsen Centre for Exercise in Medicine at the Norwegian University of Science and Technology (NTNU). An internationally recognized researcher and entrepreneur, he bridges academic research with practical health applications in exercise physiology. His educational foundation includes: Master's in Exercise Physiology from the Norwegian University of Science and Technology (NTNU), Norway PhD in Cardiovascular Physiology from the Norwegian University of Science and Technology (NTNU), Norway Wisløff's research revolutionized understanding of exercise-cardiovascular relationships through three landmark contributions: establishing low exercise capacity as a causal factor for cardiovascular disease (published in Science ), proving high-intensity interval training's safety and efficacy for heart failure patients (in Circulation ), and developing predictive models for cardiovascular death using resting heart rate data from the HUNT-studies (in JAMA ). These discoveries directly enabled the World Fitness Level algorithm (used by 5+ million people) and the Personalized Activity Intelligence (PAI) app for disease prevention. His work spans cardiovascular physiology, epidemiology, and public health implementation, with strong emphasis on translating laboratory findings into real-world tools. Current leadership roles include directing NTNU's Cardiac Exercise Research Group and K.G. Jebsen Centre for Exercise in Medicine, focusing on optimizing physical activity prescriptions for diverse populations. Professor Wisløff maintains active research-to-application pipelines, with his PAI technology freely available globally through app stores, demonstrating commitment to democratizing evidence-based exercise science for longevity and disease prevention.

Ronald DendereView profile

Research Fellow

• Health Informatics
• Digital Health
• Medical Imaging
• +5 more

Dr. Ronald Dendere is a Research Fellow in Health Informatics at the Centre for Health Services Research, Faculty of Health, Medicine and Behavioural Sciences, University of Queensland. His work focuses on health informatics, digital health systems, medical imaging, and disease detection technologies. University of Queensland Centre for Health Services Research Research interests span: Health informatics implementation Digital health maturity impacts Electronic health records in aged care Medical imaging technologies Smartphone-based diagnostics Automated disease detection His publications demonstrate expertise in: Medical imaging simulation Image processing algorithms Radiation dose optimization Healthcare data interoperability Tuberculosis/malaria screening Microscopy automation Available for supervision with a Doctor of Philosophy from University of Cape Town.

David EasdownView profile

Lecturer

• Algebra
• Semigroup Theory
• Mathematics Education
• +3 more

Dr. David Easdown is a Lecturer at the University of Sydney , affiliated with the Algebra Research Group and the Sydney University Tertiary Mathematics Education Group. His research focuses on algebra, particularly combinatorial semigroup theory, aligning with the university's Research Strengths in 'Understanding the Universe' and 'Cultivating Scientific Capability'. He has co-authored numerous publications in journals like Journal of the Australian Mathematical Society and Semigroup Forum , and contributed to educational conferences on mathematics teaching. Research Interests Combinatorial Semigroup Theory Biordered Sets in Algebra Mathematics Pedagogy Summer School Educational Models Teaching Contributions Dr. Easdown has taught Math1002 Linear Algebra and served as a Deputy Head of School. He has explored innovative examination design and the role of proof in mathematics instruction. Publications His recent work spans inverse semigroups, educational studies comparing summer and term-time mathematics programs, and pedagogical strategies for linear algebra. Notable collaborations include research with L.M. Shneerson and Neil Saunders.