Find Academic Supervisors

• Education Policy
• Artificial Intelligence in Education
• Race and Computation
• +4 more

Prof. Kalervo N. Gulson is a Professor of Education Policy at The University of Sydney, affiliated with the Sydney Policy Lab and Sydney Centre for Healthy Societies. His work bridges social, political, and cultural geography with education policy studies, focusing on AI's transformative impact on educational institutions. He explores AI-driven policy challenges, racial equity in automated systems, and interdisciplinary approaches to reimagining education futures. Previously held roles include positions at the University of New South Wales (2011-2019) and the University of British Columbia (2006-2010). Gulson leads the Education Futures Studio , a collaborative space for developing innovative concepts and methods in AI policy research. His current research emphasizes democratizing AI policy through participatory frameworks and addressing algorithmic inequality. Research interests include education policy governance, AI ethics, race and computation, human geography, and science and technology studies. Notable grants include an Australian Research Council Discovery Project (2024-2026) on AI in education policy and collaborations with the James Martin Institute for Public Policy. Publications span books like Algorithms of Education (2022) and over 100 peer-reviewed articles. He advises doctoral students in related areas and advocates for technical democracy in education decision-making.

• Urban Planning
• Sustainability
• Climate Change
• +3 more

Simon Marvin is a Professor in the School of Architecture, Design and Planning at The University of Sydney (2020/21 fractional appointment) and Director of the Urban Institute at the University of Sheffield. He has held academic roles at Newcastle, Salford, and Durham Universities prior to his current positions. His research focuses on urban sustainability transitions, smart cities, climate change governance, and infrastructural systems. Key areas of expertise include low-carbon urban development, urban AI applications, and socio-technical networks. Recent work explores computational urbanism, artificial intelligence in city planning, and the political dimensions of climate adaptation. Notable publications include *Urban Operating Systems* (2020) and *Artificial Intelligence and the City* (2023). He has led major grants such as the 'Botanic urbanism' project (2023) and 'Shared-space interactions between people and autonomous vehicles' (2022). Marvin's interdisciplinary approach bridges urban studies, geography, and environmental policy, addressing global urban challenges through collaborative frameworks like urban living labs and sustainability transitions research.

• Cognitive Psychology
• Climate Science
• Memory and Information Processing
• +3 more

Professor Stephan Lewandowsky is a cognitive scientist at the University of Bristol, holding an adjunct position at the University of Western Australia's School of Psychological Science. He specializes in memory, decision-making, and the intersection of human cognition with climate science. His work addresses misinformation, vaccine hesitancy, and climate change skepticism. He has been recognized with multiple awards, including the Discovery Outstanding Researcher Award (2011) and Wolfson Research Merit Fellowship (2013). Education: BA from Washington State University; PhD from Torino University (Italy). Research interests span cognitive psychology, climate science communication, and the psychological underpinnings of belief systems. He actively engages in public education through blogs (e.g., shapingtomorrowsworld.org ) and media contributions. Awards : Australian Professorial Fellow (2007–2012), Fellow of the Association for Psychological Science (2017), and more. Grants : Led projects on climate adaptation, memory models, and vaccine communication funded by ARC and others. Labs/Teams : Visiting Scientist at CSIRO Oceans & Atmosphere (2017–present); collaborates globally on climate science and misinformation.

• Cardiovascular Physiology
• Exercise Physiology
• Chronic Disease Prevention
• +3 more

Winthrop Professor Daniel Green is a leading academic in cardiovascular exercise physiology at the University of Western Australia (UWA), based in the School of Human Sciences. He holds a PhD from UWA and has been a NHMRC Principal Research Fellow (2015-2021). His work focuses on preventing chronic diseases like atherosclerosis, diabetes, and heart failure through exercise interventions, with a focus on translational research and technological innovations such as optical computed tomography for vascular assessment. Prof Green has supervised over 90 thesis students and leads the Cardiovascular Research Group at UWA, collaborating internationally with institutions like Mayo Clinic and the University of Oregon. He has secured $14.9 million in competitive grants and pioneered initiatives like the International Summer School for Ultrasound in Cardiovascular Science and Medicine. His awards include the Vice-Chancellor’s Senior Research Award (2022). Research interests include exercise training effects on vascular health, imaging techniques for disease assessment, and personalized interventions for chronic disease prevention. His lab develops tools to detect early-stage chronic diseases and optimize lifestyle interventions.

• Plant Genomics
• Machine Learning
• Computational Biology
• +5 more

Philipp Bayer is an Adjunct Research Fellow at the University of Western Australia (UWA) and a Principal in the OceanOmics project at the Minderoo Foundation. His roles include computational biology research focused on plant genomics, machine learning applications in genomics, and environmental DNA (eDNA) methods for ocean biodiversity monitoring. He holds a PhD from the University of Queensland (UQ) and has held positions such as a Forrest Fellowship and DECRA fellowship, focusing on wheat breeding and evolutionary genomics. Bayer is a member of the UWA Data Institute's Research Committee and the Scientific Advisory Committee for the ARDC Machine Learning CoP. Education and Career Highlights: PhD in Plant Genomics, UQ (2016) DECRA Fellowship at UWA (2021–2023), studying plant gene evolution Forrest Fellowship (2018–2020) on wheat genomics and machine learning Principal, Computational Biology, Minderoo Foundation (2022–present) Research Interests: Plant pangenomics and genome evolution Machine learning for crop improvement and biodiversity analysis eDNA-based marine biodiversity monitoring Genetic mechanisms underlying crop domestication Grants and Collaborations: GRDC: Machine learning for canola disease resistance ARC DECRA: Evolutionary genomics of plant genes Collaborations with BASF, Intergrain, and the OceanOmics initiative Awards: Finalist in the 2019 WA Premier’s Science Award. Labs/Teams: Leads the OceanOmics project and organizes Hacky Hour (code/data support sessions).

• Leadership
• Organizational Behavior
• Educational Technologies
• +4 more

Andrea North-Samardzic is an Honorary Associate Professor in the Faculty of Arts and Education at Deakin University, concurrently holding a Senior Lecturer position in the Department of Management at Deakin Business School. She earned her PhD in Organization & Management from the University of New South Wales (UNSW). Her research focuses on leadership dynamics, educational technologies, biometrics ethics, and organizational strategy, with notable projects involving government agencies like India’s Ministry of Human Development and industry partners such as the Reece Group. Her teaching expertise spans leadership, management, and organizational behavior, including designing innovative HRM simulations and online pedagogy strategies. She directs the Master of Business Administration (MBA) program and provides executive education to corporations and government delegations. Notable research contributions include studies on gender equity in academia, interorganizational collaboration, and biometric technology ethics. Andrea has secured significant research funding for projects addressing humanitarian leadership, cultural sector impacts, and educational technology applications. Her work bridges academic rigor with practical industry engagement, emphasizing ethical considerations in emerging technologies and leadership practices.

Young LeeView profile

Senior Lecturer

• Edge Computing
• Blockchain Technology
• Fog Computing
• +3 more

Young Lee is a Senior Lecturer in Computing at Macquarie University, affiliated with the School of Computing and three research centers: Data Horizons Research Centre, Future Communications Research Centre, and Smart Green Cities Research Centre. His research focuses on edge computing, blockchain technology, fog computing, and resource scheduling in distributed systems, with a strong emphasis on applications in IoT, healthcare, and sustainability. He has led or contributed to over 150 research outputs since 2005, including influential works on edge-based video analytics, blockchain frameworks, and cloud-edge resource optimization. Dr. Lee's projects include 'Extreme-Scale Computing for Big Data Analytics' (2016–present) and 'Synergising the Power of the Cloud with the Power of the Crowd' (2016–present), demonstrating expertise in scalable computing and cloud-crowd integration. His work bridges theoretical advancements in scheduling algorithms with practical implementations in energy-efficient data centers and mobile edge environments. Research interests span edge computing architectures, blockchain oracles, and fog caching strategies, with recent contributions to carbon-conscious travel systems and malware detection frameworks. His interdisciplinary approach addresses challenges in resource allocation, network security, and distributed system efficiency.

Qiongkai XuView profile

Lecturer

• Natural Language Processing
• Machine Learning
• Security
• +3 more

Dr. Qiongkai Xu is a Lecturer in Natural Language Processing (NLP) at Macquarie University's School of Computing, with an honorary fellowship at the University of Melbourne. He holds a PhD in NLP from the Australian National University (ANU). His research focuses on auditing machine learning models, particularly addressing privacy/security issues in NLP/ML models and developing evaluation frameworks. Key areas include text watermarking, adversarial attacks, data leakage mitigation, and model authentication. Recent publications emphasize robustness against backdoor attacks, generative model watermarking, and healthcare applications of LLMs. His work bridges theoretical security advancements with practical NLP challenges. Awards: DAAD Scholarship (2022), Research Pitching Session Winner (MQ, 2022 & 2024) Grants: Leading the Climate Litigation Risk project on AI-driven greenwashing detection. Labs/Teams: Data Horizons Research Centre, Future Communications Research Centre, and Frontier AI Research Centre.

• Multiple Myeloma
• Bone Cancer Research
• Stem Cell Biology
• +3 more

Andrew Zannettino is the Executive Dean of the Faculty of Health and Medical Sciences at the University of Adelaide. He holds the academic rank of Professor of Experimental Haematology and co-directs the Myeloma Research Laboratory at SAHMRI. His research focuses on multiple myeloma, bone cancer, and mesenchymal stem cell biology, with significant contributions to patents underlying Mesoblast Ltd's regenerative therapies. He has led over AUD $35 million in grants, including NHMRC, ARC, and industry-funded projects. Key achievements include identifying mechanisms of myeloma-associated bone loss, developing novel biomarkers, and pioneering stem cell therapies. He actively collaborates with global institutions and serves on advisory boards for Myeloma Australia and AusHealth Pty Ltd. Education: Advanced qualifications in Haematology and Molecular Biology (details not explicitly provided). Research Interests: Myeloma pathogenesis, stem cell therapeutics, bone microenvironment, and clinical translation. Awards: Over 300 publications, H-index 73, and recognition as a NHMRC Grant Review Panel member. Grants: Extensive funding from NHMRC, Cancer Australia, and industry partners like Novartis and Mesoblast. His leadership roles include chairing research committees and strategic initiatives at the University of Adelaide. Professional activities include global conference presentations and editorial roles in top journals.

Matt BowerView profile

Professor

• Technology-Enhanced Learning
• Artificial Intelligence in Education
• Augmented Reality
• +7 more

Professor Matt Bower is a leading academic in educational technology at Macquarie University's School of Education. Specialising in technology-enhanced learning, his work explores AI, AR, VR, and other tools to improve cognitive and collaborative learning. He has published over 100 peer-reviewed articles, led over 30 funded projects (totaling $3M+), and advised educational policymakers. His research spans teacher education, computing education, and learning design frameworks. Notable contributions include the Design of Technology-Enhanced Learning textbook (2018 AECT Award winner) and leadership in the Australian Technologies Teacher Educators Network (2019–2024). Research interests include AI in education, blended synchronous learning, and the impact of emerging technologies like wearable devices and generative AI on pedagogy. He collaborates with industry and education sectors to develop innovative learning solutions. Awards include the 2021 Australian Teaching Excellence Award and multiple Macquarie Vice-Chancellor awards. Current projects focus on screen use in education, teacher attitudes toward AI, and post-pandemic learning strategies. Professional activities include roles on ACARA’s Technologies Panel and NSW Educational Standards Authority committees. His work bridges research and practice, emphasizing teacher training and policy engagement. Projects like the ChatGPT survey and analyses of remote learning during the pandemic highlight his focus on real-world educational challenges.

Richard SaveryView profile

Research Fellow

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +3 more

Richard Savery is an Honorary Research Fellow at Macquarie University's Faculty of Arts, affiliated with the Performance and Expertise Research Centre and the Centre for Applied Artificial Intelligence. His work bridges artificial intelligence, robotics, and music, focusing on creative interactions and trust-building through robotic musicianship. He holds a PhD in Music Technology from Georgia Institute of Technology (2021) and a Master's from UC Irvine. Key roles include developing the NSF-funded Keirzo rapping/drumming robot and publishing the edited book Sound and Robotics (2023). Research interests include emotional musical prosody, human-robot collaboration, and robotic performance. Notable projects include Shimon the singing robot and IVF sonification. Awards include a GANG Award (2015) for game audio. Active in interdisciplinary collaborations, he has composed music for films, ads, and video games, including Gunman Taco Truck and Gathering Sky . His work spans academic grants ($800k NSF-NRI grant), industry partnerships, and public installations like the Un[contained] Arts Festival's beehive exhibit. Over 50 publications highlight his contributions to robotics, music tech, and AI ethics.

Alistair BarrosView profile

Professor

• Service Computing
• Enterprise Systems
• Business Process Management
• +5 more

Professor Alistair Barros is Head of School and Academic Program Leader of Service Science at QUT’s School of Information Systems (Faculty of Science). He holds a PhD from the University of Queensland, with extensive ICT experience in academia and industry (e.g., Global Research Leader at SAP AG). His research focuses on enterprise systems design, optimization, and interoperability in cyber-physical environments leveraging cloud, IoT, and blockchain technologies. Key areas include service computing methods (microservices, business process management), model-based systems re-engineering, and distributed service coordination. Education: PhD in Information Systems from the University of Queensland. Research Interests: Enterprise systems modernization, service-oriented architectures, Industry 4.0 applications, and digital transformation in sectors like construction, manufacturing, and supply chains. He has published 180+ peer-reviewed articles (including 6 edited books) and holds 17 US patents. Notable contributions include the BPMN 2.0 standard co-authorship and the 'Workflow Patterns' paper (most cited in BPM). Awards: Test of Time Award (BPM 2015), Wharton Education Award (TeachConnect platform), and impactful industry collaborations (e.g., SAP NetWeaver, Federal Government WPIT project). Grants & Projects: Led ARC, EU FP6, and industry-funded projects. Current focus includes re-engineering legacy systems for microservices, EV charging network design, and adversarial ML in cybersecurity. Labs/Teams: Active in QUT’s Centre for Data Science, focusing on service science and cyber-physical systems integration.

Michael BurkeView profile

Senior Lecturer

• Robotics
• Computer Vision
• Machine Learning
• +3 more

Dr. Michael Burke is a Senior Lecturer and Deputy Graduate School Coordinator at the Department of Electrical and Computer Systems Engineering, Monash University. He specializes in robotics, focusing on probabilistic machine learning and computer vision for autonomous systems. His roles include research supervision, curriculum development, and fostering graduate culture. Education: PhD in Statistical Signal Processing, University of Cambridge (2012–2016) MSc in Electronic Engineering, Stellenbosch University (2009–2011) BEng in Electronic Engineering, University of Pretoria (2005–2008) Research Interests: Robot learning and control Probabilistic machine learning for robotics Interpretable robotics systems and hybrid control architectures Robot perception and visuomotor control His work bridges robotics with machine learning to develop safe, adaptive autonomous systems for applications like surgical robotics and field robotics. Awards and Recognition: Best Paper Award at AMDO 2014 Runner-Up for Best Paper at CoRL 2019 Advising & Grants: Supervising over 20 PhD and Master’s students in robotics and related fields Principal Investigator for ARC-funded projects on robotic pharmaceutical formulation and human-robot interaction (2024–2027) Labs and Teams: Past leadership of the Mobile Intelligent Autonomous Systems group at CSIR, South Africa (2009–2018) Current collaborations with researchers at the University of Edinburgh and University of Melbourne

Pamela Carreno-MedranoView profile

Lecturer

• Human-Robot Interaction
• Robot Learning
• Socially Assistive Robotics
• +4 more

Dr. Pamela Carreno-Medrano is a Lecturer and Early Career Research Representative in the Department of Electrical and Computer Systems Engineering at Monash University. Her research focuses on Human-Robot Interaction (HRI), robot learning, and socially assistive robotics. She holds a PhD in Information & Communication Sciences (Université de Bretagne-Sud), Master's in Computer Science (École Nationale d’Ingénieurs de Brest), and a Bachelor's in Computer Systems Engineering (Universidad EAFIT). Her work emphasizes human-centered design for intelligent systems, including adaptive navigation algorithms, human-robot collaboration models, and affective computing applications. She leads projects on long-term human-robot interaction and has contributed to interdisciplinary studies on robot ethics and public space integration. Dr. Carreno-Medrano also serves as an Adjunct Lecturer at Universidad EAFIT and collaborates internationally on sustainable aging technologies through the ARC Training Centre for Optimal Ageing. Current research themes include aligning task representations between humans and robots, modeling non-goal-driven human behaviors, and socially aware navigation strategies. She actively supervises postgraduate students in HRI, offering projects on interactive robot learning and embodied AI systems.

Marie-Christine ZdoraView profile

Research Fellow

• X-ray Physics
• X-ray Imaging
• Phase Contrast Imaging
• +4 more

Marie-Christine Zdora is a Research Fellow in the School of Physics and Astronomy at Monash University. She holds adjunct roles including Adjunct Scientist at ETH Zürich (2022–2020) and Postdoctoral Researcher at Paul Scherrer Institut (2021–2021). Her academic journey includes a PhD in Physics from University College London (2015–2020), and master’s degrees from TU Munich and the University of Sydney. Her research focuses on advanced X-ray imaging techniques, particularly phase-contrast imaging using near-field speckles, dark-field imaging, and multi-modal approaches. Key areas include medical imaging applications, biological tissue analysis, and synchrotron-based tomography. She leads projects such as Multi-scale, multi-modal X-ray imaging using speckle and collaborates internationally on diagnostic radiology innovations. Zdora has received prestigious awards including the Springer Thesis Award (2020) and the Award of Congressi Stefano Franscini (2016). She serves as an Associate Editor for Optics Express and actively supervises students and mentors interns. Her work contributes to SDGs related to health, innovation, and sustainable development.