Find Academic Supervisors

• Cognitive Neuroscience
• Psychophysiology
• Neurofeedback
• +2 more

Dr. Joseph Ciorciari is an Associate Professor at Swinburne's School of Health Sciences, coordinating Psychology/Psychophysiology programs. He directs the Biology of Individual Differences Research Unit, investigating neurobiological foundations of personality using EEG and neuropsychological methods. Research: Focuses on dissociation, neurofeedback, and consumer decision-making neuroscience. Recent collaborations examine neuropsychoeconomics with La Trobe University and Murdoch University. Awards: Best Paper Award, International Social Marketing Conference (2016) Supervision: Currently mentors doctoral candidates studying PTSD neurofeedback, emotion processing in autism, and religious impacts on well-being.

• Rocket Propulsion
• Combustion Science
• Thermal Engineering
• +3 more

Dr. Quentin Michalski is a Research Fellow at the School of Engineering, RMIT University. His research focuses on advanced propulsion systems, particularly thermal management of rotating detonation rocket engines, combustion dynamics, and detonation wave analysis. He has supervised a Master's/PhD project titled 'Thermal Management of a Rotating Detonation Rocket Engine' since March 2021. His work integrates experimental and computational methods to optimize gas composition, combustion efficiency, and thermal performance in aerospace applications. Key research areas include solid propellant combustion, constant-volume combustion systems, and fluid dynamics in propulsion contexts. His studies often address challenges such as cyclic ignition stability, pressure gain combustion, and material durability under extreme thermal conditions. While no formal awards are listed, his contributions to detonation-based propulsion have been published in journals like Journal of Propulsion and Power and Combustion and Flame . Dr. Michalski’s work also explores additive manufacturing for thermal protection systems and the application of advanced diagnostics like speckle-based background oriented schlieren for flow visualization. Though no specific lab or team affiliations are detailed, his projects emphasize interdisciplinary collaboration in aerospace engineering and energy systems.

• Control Systems
• Optimization
• Engineering Education
• +7 more

Dr. Paul N Beuchat is a Senior Lecturer - Education Specialist in the Department of Electrical and Electronic Engineering at the Faculty of Engineering and Information Technology. His expertise spans control systems, optimization techniques, and engineering education, with a focus on approximate dynamic programming and its applications in robotics and autonomous systems. Education : PhD in Automatic Control from ETH Zurich (2019) M.Sc. in Robotics, Systems and Control from ETH Zurich (2014) B.Eng. in Mechanical Engineering and B.Sc. in Physics from University of Melbourne (2008) Research Interests : Paul's research integrates control theory with educational innovation. He develops approximate dynamic programming algorithms for large-scale systems, particularly in building control and quadcopter coordination . His work also explores project-based learning pedagogies, leveraging hardware-accelerated computing and IoT technologies to enhance engineering education. Recent Publications emphasize interdisciplinary teaching methods , quadcopter control systems , and data-driven optimization for autonomous vehicles. His projects include 5G URLLC Factory of the Future (2022-2023), reflecting his commitment to bridging theoretical control systems with practical educational frameworks. Advising & Grants : Paul contributes to educational grant initiatives such as the 5G URLLC Factory of the Future research contract. He actively participates in curriculum development and pedagogic research , focusing on student engagement and competency-based learning in engineering.

Daniel JohnsonView profile

Professor

• Motivations for Videogame Play
• Player Experience
• Impact of Videogames on Wellbeing
• +5 more

Professor Daniel Johnson holds a position in the School of Computer Science at Queensland University of Technology (QUT), where he leads the QUT Games Research and Interaction Design Lab. He earned a PhD from the University of Queensland, focusing on the psychology of human-computer interactions and video games. His research interests span motivations for videogame play, player experience analysis, gamification, and the impact of games on wellbeing. Johnson is also Chair of the ACM CHI PLAY Steering Committee and maintains an affiliation with the Cambridge University Well-being Institute. Johnson’s educational background includes Bachelor’s and Honours degrees in Psychology, a Graduate Certificate in Higher Education, and postdoctoral work at the University of Cambridge’s Engineering Design Centre. His teaching focuses on game design, innovation, and computer game studies at QUT. His research collaborations include projects with the Movember Foundation (MindMax and WellPlayed initiatives), The Binary Mill, and cooperative research centers like Young and Well CRC. He has secured significant grants, including CAT 1 funding for projects like Engaging Augmented Reality on 3D Head Up Displays to Reduce Risky Driving and Make and Connect: Enabling People to Connect through their Things . Johnson’s work bridges academia and industry, emphasizing real-world applications in usability, user experience, and inclusive design. His lab explores cutting-edge topics such as VR/AR in geoscience, esports physiology, and ethical design of immersive technologies.

Michael H. BreitnerView profile

Adjunct Professor

• Energy Systems
• Digital Transformation
• IT Security
• +7 more

Michael H. Breitner is an Adjunct Professor at the Institute of Business Information Systems (Wirtschaftsinformatik) within the Faculty of Economics and Management at Leibniz University Hannover. He serves on the Executive Board of the Leibniz Research Centre for Energy and holds leadership roles in the Finance Group and Faculty Council. His research focuses on energy systems transformation, digital transformation in universities, AI/ML applications, big data analytics, and cybersecurity. His academic career includes extensive work in energy informatics, mobility logistics, and decision support systems. Key projects include SiNED (secure power grids), TEN.efzn (digital energy research), and 5GAPS (5G-based positioning systems). He collaborates with industry partners like Lenze and government bodies such as the Lower Saxony Ministry of Science. Publications span journals like Decision Support Systems, Energy Policy, and Electronic Markets, with a focus on AI applications, energy systems optimization, and IT governance. His work addresses challenges in renewable energy deployment, smart city technologies, and ethical AI implementation across global contexts. Breitner advises on interdisciplinary projects involving energy policy, logistics optimization, and cybersecurity frameworks. His lab, BEAM (Behavioural Energy Analytics & Modelling), integrates behavioral science with energy system research.

• Computer-Human Interaction
• Virtual Reality (VR)
• Augmented Reality (AR)
• +7 more

Associate Professor Selen Turkay holds a PhD in Instructional Technology and Media from Columbia University. She joined QUT in 2017, previously working at Harvard University as a Research Fellow (2013-2015) and Research Scientist (2015-2017). She is affiliated with the School of Computer Science within the Faculty of Science at QUT. Her research focuses on immersive technologies, including virtual/augmented reality (VR/AR), gamification, and their applications in education, healthcare, and urban design. Her teaching includes courses like Immersive Level Design and Design and Development of Immersive Environments . She leads research projects such as Enabling Situated Immersive Science Collaboration with Remote Sensing Data and Augmented Sociality: Enabling a Socialised Experience of Augmented Reality , funded by Australian Competitive Grants. Her work explores topics like human-robot interaction, prosocial behavior in games, and VR training efficacy in construction and geology education. Dr Turkay supervises PhD students in areas such as VR for geological field mapping, problematic gaming behavior, and remedial game prototypes for burn rehabilitation. Her contributions span HCI conferences like OzCHI and ACM/IEEE, with a focus on advancing technologies for education, healthcare, and urban innovation.

Jason FordView profile

Professor

• Robotics
• Decision Systems
• Autonomous Systems
• +4 more

Jason Ford is a Professor of Electrical Engineering at Queensland University of Technology (QUT), leading research in trustworthy autonomous systems and decision-making under uncertainty. He holds positions in QUT's Centre for Robotics and Centre for Data Science. Ford earned his PhD from the Australian National University (ANU) and has over 20 years of experience in aerospace, energy, and defense sectors. His research focuses on model-based filtering, estimation, and decision systems for dynamic environments, with applications in aerial autonomy, infrastructure inspection, and low-signal-to-noise detection. Education: B.Sc. and B.E. (1995), PhD (1998), all from ANU. Professional Experience: Research Scientist at DSTG (1998-2004), Research Fellow at UNSW (2004-2005), QUT faculty since 2005, promoted to Professor in 2019. Research Interests: Robust autonomous systems, vision-based sense-and-avoid, model-driven decision systems, and resilient robotic technologies. His work on ROAMES asset management systems has saved Queensland $40M/year and won international awards. Awards: 2019 Academic of the Year (Australian Defence Industry), multiple best paper awards, and industry recognition for collision avoidance and UAV technologies. Grants: Over $10M in competitive research funds since 2009. Supervision: 8 completed HDR students since 2008, teaching control systems and autonomous systems to 1000+ undergraduates. Labs/Teams: Program Lead for Decision and Control in QUT's Robotics Centre, collaborator with industry partners like Insitu Pacific and Caterpillar.

Aaron McFadyenView profile

Senior Lecturer

• Unmanned Traffic Management
• Aerospace Engineering
• Robotics
• +3 more

Dr. Aaron McFadyen is a Senior Lecturer in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT), with a focus on aerospace engineering, robotics, and control systems. He holds a PhD from QUT and has extensive industry experience in flight simulation and autonomous systems research. His research emphasizes unmanned traffic management (UTM), air traffic modeling, and quantitative risk analysis, with applications in drone integration and airspace safety. He has secured over $1.5M in research funding and led projects for organizations like Airservices Australia and CASA. Key achievements include developing Australia's Automated Airspace Authorization system and winning the 2019 IEEE/AIAA Best Unmanned Traffic Management Paper Award. Education: PhD in Robotics and Autonomous Systems (QUT), Private Pilot License (CASA), and qualifications in aerospace engineering. Professional memberships include IEEE, JARUS, and the Control System Society. Research interests span UTM systems, collision risk modeling, and control systems for autonomous vehicles. His work bridges academia and industry, addressing challenges in air traffic management and robotics. Recent publications focus on nonlinear control, airspace risk analysis, and multi-agent systems. He has supervised undergraduate, masters, and PhD students in aerospace and robotics. Awards include the ARC DECRA Fellowship (2020) and Advance Queensland Mid-Career Fellowship (2020). His lab collaborations include the Australian Research Centre for Aerospace Automation (ARCAA) and ETH Zurich's Autonomous Systems Lab.

Vince DziekanView profile

Senior Lecturer

• Museum Studies
• Curatorial Design
• Digital Humanities
• +5 more

Dr Vince Dziekan is a Senior Lecturer in the Department of Design at Monash University, Australia. He holds academic leadership roles including former Associate Dean (Research), Associate Dean (Education), and Head of Multimedia & Digital Arts. His research focuses on curatorial practices at the intersection of design, creative technology, and museum culture. He has supervised over 40 PhD and Master’s students and developed innovative programs such as the Prato Academy. Education: PhD in Art & Design, Monash University (2009) MA in Art & Design, Monash University (1996) Graduate Diploma in Education, University of Melbourne (1989) Diploma of Fine Arts, Emily Carr Institute of Art & Design (1986) Research Interests: Curatorial design, museum technology, digital humanities, new media art, and speculative design. His work bridges academic research with curatorial practices, including exhibitions at international venues like ISEA2009 and ISEA2011. Recent Projects: Co-leads ASSEMBLY (museum collaboration initiative) and Future Museum (Austria). Involved in accessibility research for museums (e.g., Bendigo Art Gallery project). Editor of key publications including the Routledge Handbook of Museums, Media and Communication . Labs/Initiatives: Sensilab (interdisciplinary research lab), Institute for Digital Culture (Honorary Research Fellowship), and MWX (Museums and the Web exhibition initiative).

Leonardo NovelliView profile

Research Fellow

• Brain Connectivity
• Computational Neuroscience
• Mathematical Modelling
• +5 more

Leonardo Novelli is a Research Fellow at Monash University's Turner Institute for Brain & Mental Health, affiliated with the Department of Psychology. He holds a Ph.D. from the University of Sydney (2017-2020), focusing on inferring information network structure from dynamics. Expertise: Brain connectivity, computational neuroscience, neuroimaging, and dynamic causal modelling. Research interests include psychedelic neuroscience, brain network dynamics, and mathematical modelling of neural systems. He has received awards including the 2023 Faculty ECR Publication Prize and 2021 Turner Institute ECR Award for Excellence in Honours Supervision. His work addresses UN Sustainable Development Goals related to mental health and well-being. Recent research focuses on neural mechanisms of psychedelics (e.g., psilocybin, LSD) and brain network connectivity analysis using advanced modelling techniques. He actively organizes workshops and contributes to committees such as the Monash FMNHS ECR Steering Committee and Brain Mapping and Modelling ECR Sub-Committee.

Wojtek GoscinskiView profile

Adjunct Professor

• Neuroinformatics
• Medical Imaging Standards
• High-Performance Computing
• +3 more

Wojtek Goscinski is an Adjunct Professor at Monash University's Medicine Nursing and Health Sciences Faculty. He currently serves as Chief Executive Officer of the Australian National Imaging Facility (NIF) since June 2021. His research focuses on neuroinformatics, medical imaging standards, and high-performance computing infrastructure for biomedical research. Key projects include leadership roles in initiatives such as the Australian Characterisation Commons at Scale (ACCS), which integrates advanced research infrastructure across multiple institutions. He has contributed to developing open science frameworks like the International Neuroinformatics Coordinating Facility (INCF) and standards for biomedical imaging data formats. His work emphasizes FAIR (Findable, Accessible, Interoperable, Reusable) data principles, with notable contributions to NeuroInformatics and Nature Methods publications. He has been a Chief Investigator in over 14 major research projects focusing on computational infrastructure, data retention, and scalable cloud solutions for scientific research.

Song CheenView profile

Research Fellow

• Health Informatics
• Bioinformatics
• Machine Learning
• +3 more

Dr. Song Cheen is a Research Fellow at the Microbiome Research Centre, School of Pharmacy, Monash University Malaysia. His work focuses on health informatics, bioinformatics, and machine learning applications in healthcare. He earned a PhD in Bioinformatics (2021–2024) and a BSc (Hons) in Bioinformatics (2015–2018), both from University of Malaya. Education: PhD in Bioinformatics, University of Malaya (2021–2024) BSc (Hons) in Bioinformatics, University of Malaya (2015–2018) Research interests include the human microbiome’s role in health/disease, predictive modeling, and AI-driven healthcare solutions. Current projects investigate microbiome responses to probiotics, alcohol effects on gut microbiota, and FOS supplementation in elderly populations. Projects (2025–2026): Protein/Probiotics supplementation’s impact on faecal microbial composition Alcohol’s effects on gut microbiota and probiotic protection FOS supplementation for underprivileged elderly gut health Advising/Grants: Collaborator on multiple grants focused on microbiome research and healthcare analytics. No formal student advisees listed. Labs/Teams: Active contributor to the Microbiome Research Centre. Work aligns with UN SDGs related to health and innovation.

Xuelian ChengView profile

Academic

• Machine Learning
• Computer Vision
• Medical Imaging
• +4 more

Dr. Xuelian Cheng is an Adjunct Lecturer at the Department of Data Science & AI, Monash Suzhou Research Institute, and a Research Fellow at Monash University Australia. She holds a PhD from Monash University under the supervision of Professors Zongyuan Ge, Mehrtash Harandi, and Tom Drummond. Her research focuses on medical imaging, 3D reconstruction, and interdisciplinary applications of AI in robotic surgery and AR/VR technologies. She has contributed to projects with industry partners like Tencent, IIAI, and Airdoc, resulting in publications at top venues such as MICCAI, CVPR, and Nature. Affiliations: Monash Suzhou Research Institute, Monash University Australia. Teaching: Courses include FIT5047 (Artificial Intelligence), FIT5226 (Multi-Agent Systems), and FIT5216 (Discrete Optimization). Research interests span deep learning for 3D visual perception, automated machine learning (AutoML), and medical image analysis. Her work aligns with UN SDGs related to health and innovation. The MMAI group she co-leads has published extensively in top conferences/journals, including JAMA, The Lancet, and NeurIPS. Advising: Accepting PhD students interested in medical 3D topics, with projects focusing on surgical intelligence and clinical decision support. Labs/Teams: Monash Medical AI (MMAI) Group, collaborating on surgical workflow understanding and endoscopic reconstruction.

• Cognitive Neuroscience
• Neuroscience
• Decision-Making
• +6 more

Irina Baetu is a Senior Lecturer in the School of Psychology at the University of Adelaide, affiliated with the Faculty of Health and Medical Sciences. She leads the Cognitive Neural Sciences Laboratory, focusing on the neural mechanisms underlying learning, decision-making, and cognitive control. Her work integrates genetics, neuroimaging, and behavioral studies to understand cognitive decline in aging and Parkinson’s disease, as well as the role of music in emotional well-being. Her research explores how genetic variation influences cognitive abilities, particularly in healthy aging and Parkinson’s patients, aiming to develop personalized treatments. She investigates response inhibition, motor learning, and attentional processes. Current projects include studying dopamine’s role in sequence learning and the impact of GABAergic genes on fear learning. Dr. Baetu collaborates with researchers like Prof. Nick Burns and A/Prof. Sarah Cohen-Woods. Her lab uses EEG, computational modeling, and behavioral experiments. She has secured grants from the NeuroSurgical Research Foundation and the University of Adelaide. Her work spans cognitive neuroscience, clinical applications, and innovative music-based interventions. She is eligible to supervise Masters and PhD students, emphasizing interdisciplinary approaches to neuroscience and psychology.

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

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