Find Academic Supervisors

• Agricultural Climate Risk Modeling
• Environmental Finance
• Geospatial Intelligence
• +7 more

Dr. Thong Nguyen-Huy serves as a Senior Research Fellow at the Centre for Applied Climate Sciences within the University of Southern Queensland. His work bridges agricultural climate risk management, geospatial intelligence, and environmental finance through advanced statistical and AI methodologies. His educational background includes a BEng from VNUHCM (2009), MSpatSciTech (2013), and PhD (2019) from USQ, reflecting deep technical expertise in spatial sciences and climate modeling. Nguyen-Huy's research focuses on agricultural climate risk modeling , digital farming , and disaster risk management , utilizing copula-based models, GIS, remote sensing, and machine learning to develop decision-support systems for climate resilience. His work spans sustainable agriculture, renewable energy forecasting, and decarbonization strategies with significant real-world applications in Vietnam, Australia, and Pacific Island nations. His recent publications reveal a strong emphasis on hybrid AI models for flood forecasting , crop yield prediction , and climate-risk insurance mechanisms , demonstrating interdisciplinary integration of environmental science, data analytics, and financial instruments. Climate Risk Research Award (Top 10 Globally) - Allianz, 2021 Award for Excellence in Doctoral Research - University of Southern Queensland, 2019 Unit Specific Publication Excellence Award - University of Southern Queensland, 2019 Postgraduate Research Scholarship - University of Southern Queensland, 2015 Graduate Coursework Prize - University of Southern Queensland & QLD SSSI, 2012 Nguyen-Huy actively supervises graduate research in environmental monitoring and climate risk modeling while securing competitive grants including the InsuResilience Solutions Fund (2025) and APN Collaborative Regional Research Programme (2023). He collaborates extensively with universities, research institutions, and industry partners across Southeast Asia and the Pacific.

• Neurology
• Stroke Research
• Biomedical Imaging
• +5 more

Carlos Garcia-Esperon is a Senior Conjoint Lecturer at the University of Newcastle's School of Medicine and Public Health , with dual appointments as Senior Staff Neurologist at John Hunter Hospital and Director of Acute Stroke Services . His work bridges clinical stroke neurology and academic research in brain imaging and telestroke implementation . PhD in brain imaging and thrombolytic therapy (University of Newcastle, 2020) Leadership in NSW Telestroke Network development Expertise in CT perfusion imaging for acute stroke triage Over 30 clinical trial co-investigatorships His research program focuses on reperfusion therapies , multimodal CT applications in rural stroke care, and brain-heart connections in stroke pathophysiology. Recent work explores deep learning diagnosis of posterior circulation infarcts and virtual reality training for stroke workflows. He advocates for equitable access to advanced stroke care in regional centers through telemedicine infrastructure. Key teaching contributions include undergraduate neurology seminars , brain imaging interpretation lectures, and postgraduate clinical instruction . His 115+ journal articles span topics like stroke triage optimization , hyperacute cardiac imaging , and blood pressure variability in stroke progression. Current projects involve AI-driven diagnostic tools and VR-based clinician education.

• Distributed Computing
• Online Algorithms
• Edge Computing
• +5 more

Jared Ray Coleman is an Assistant Professor at Loyola Marymount University in Los Angeles, CA. He is also a Ph.D. Candidate in Computer Science at the University of Southern California (USC), affiliated with the Autonomous Networks Research Group ( ANRG ), and a Member of the Technical Staff at the Aerospace Corporation. His research focuses on decentralized computing, cyber-physical systems, and cooperative multi-agent systems. Education : Ph.D. Candidate, University of Southern California M.S. in Computer Science, California State University, Long Beach B.S. in Computer Science, California State University, Long Beach Research Interests : Spanning Distributed Computing , Online Algorithms , and Edge Computing , his work addresses challenges in Internet of Things (IoT) , Artificial Intelligence (AI) , and Blockchain applications. Recent projects include resource allocation algorithms for large-scale sensor networks and decentralized review systems for NFT marketplaces. Projects : Includes Lane detection for Nvidia Jetson TX2 , WfCommons (scientific workflow framework), Tendermint consensus (blockchain), and GCN-based schedulers for robotic systems. He also contributes to Kubishi , a digital archive for Owens Valley Paiute language and culture. Personal : A proud member of the Big Pine Paiute Tribe of the Owens Valley, he actively participates in language revitalization efforts. Outside academia, he enjoys board games, hiking, and cultural preservation work.

Anwar OrabiView profile

Lecturer

• Structural Fire Engineering
• Fire Safety Engineering
• Numerical Simulation
• +2 more

Dr. Anwar Orabi is a Lecturer in Fire Safety Engineering at the School of Civil Engineering, University of Queensland , where he joined in mid-2023. His research focuses on Structural Fire Engineering , Numerical Simulation for performance-based design, Large-Scale Structural Analysis under fire conditions, and the Integration of AI and Data Science for real-time risk mitigation. He previously contributed to keystone projects in Hong Kong, including SureFire: Smart Urban Resilience and Firefighting and the Integrated Safety Engineering knowledge transfer initiative. Research Themes : Structural Fire Engineering, AI-Driven Design, Performance-Based Analysis Key Tools : OpenSees Framework, Finite Element Modeling, Hybrid Fire Simulation His recent work explores fire behavior in diagrid structures , composite floors , and steel/timber systems , with a focus on automated design and disaster resilience . Publications span Springer , Fire Technology , and Engineering Structures . Current supervision includes projects on physics-informed machine learning , mass timber coatings , and fire hazard mitigation in wildland-urban interfaces. Collaborators : Associate Professor David Lange, Dr. Felix Wiesner, Professor Asif Usmani

• Stream Data Processing
• Semantic Query Optimization
• Multiple Query Optimization
• +11 more

Sharma Chakravarthy is a Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington (UTA) since January 2000. He is an ACM Distinguished Scientist, IEEE Senior Member, and Fulbright Specialist, recognized for his contributions to stream data processing, active databases, and graph mining. He established the Information Technology Laboratory (IT Lab) and an NSF-funded Distributed and Parallel Computing Cluster at UTA, and has supervised 15 PhD theses and 85 MS theses. His research spans semantic query optimization, scalability in graph mining, social network analysis, and multimedia databases. Education: B.E. in Electrical Engineering (Indian Institute of Science), M.Tech (IIT Bombay), M.S. and Ph.D. (University of Maryland, College Park) Prior affiliations: University of Florida (10 years), Computer Corporation of America (CCA, 3 years), Xerox Advanced Information Technology (1 year) Research Interests : His work focuses on adapting map/reduce paradigms for scaling graph mining algorithms to large networks, machine learning applications in Q-A social networks, and InfoSift—a classification system for text, email, and web data. He also explores stream data processing across domains like video analysis. Scientific Awards : 2003 Creative Outstanding Researcher (UTA) 2002 Department-Level Senior Outstanding Researcher ACM Distinguished Scientist IEEE Senior Member Fulbright Specialist Inclusion in Who's Who Among South Asian Americans and Who's Who Among America's Teachers He co-organized the 13th ACM International Conference on Distributed Event-Based Systems (DEBS 2013) and has authored over 200 refereed papers/book chapters. He has given tutorials on graph mining, active/real-time databases, and heterogeneous databases globally.

Frank Po-Yen LinView profile

Associate Professor

• Medical Oncology
• Precision Medicine
• Cancer Genomics
• +5 more

Dr Frank Po-Yen Lin is a medical oncologist and clinical informatician based in Sydney, Australia with conjoint research appointments at the NHMRC Clinical Trial Centre, University of Sydney and the Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research. Education: 2022: Fellowship of the Australasian Institute of Digital Health (FAIDH) 2019: Fellowship of the Royal Australasian College of Physicians (FRACP), Internal Medicine (Medical Oncology) 2009: PhD in Medical Informatics, University of New South Wales 2003: MB ChB, University of Otago, New Zealand Dr Lin's research focuses on evidence-based precision medicine and the application of digital health in oncology, with particular emphasis on empowering genomic decision-making, multidisciplinary care, and biomarker development through artificial intelligence and machine learning. He is co-investigator of several clinical trials in early drug development as part of the Australian Genomic Cancer Medicine Program and leads the development of the TOPOGRAPH precision oncology knowledgebase and open source resources for treatment decision-support and electronic medical record analytics. His publication portfolio includes 52 journal articles, 2 book chapters, 6 conference papers, 1 conference poster, 9 conference abstracts, and 6 preprints, demonstrating substantial scholarly output across his research domains. Analysis of his recent work reveals a strong emphasis on integrating AI with clinical oncology practice, developing decision-support tools, and advancing precision medicine implementation. Professional Recognition: Associate Editor of JCO Clinical Cancer Informatics Chief investigator and co-investigator on multiple research grants Fellowship of the Australasian Institute of Digital Health (2022) Fellowship of the Royal Australasian College of Physicians (2019) Dr Lin actively supervises research candidates in medical oncology, precision oncology, clinical trials, artificial intelligence applications in medicine, applied and translational genomics, and medical informatics decision-support systems. His work bridges clinical oncology practice with cutting-edge informatics approaches to improve cancer care delivery and outcomes.

• Cancer research
• Paediatric malignancies
• Acute lymphoblastic leukaemia
• +6 more

Associate Professor Daniel Catchpoole is a distinguished researcher in paediatric oncology at the University of Sydney's Faculty of Medicine and Health, specializing in Paediatrics & Child Health. He serves as the Head of the Tumour Bank at The Children's Hospital at Westmead, a position he has held since 2001, and is a founding member of the Australian Biospecimens Network. As an Associate Professor, he lectures on Molecular Biology of Development at Sydney University and serves as President of the International Society for Biological and Environmental Repositories (2020-2021). Dr. Catchpoole holds a BAppSc in Biomedical Science and a PhD from UNSW (1995). With over 20 years of full-time laboratory research experience, his career has focused on the molecular basis of paediatric malignancies, particularly acute lymphoblastic leukaemia and neuroblastoma, as well as cancer-prone syndromes in children like Beckwith Wiedemann syndrome. His research spans multiple disciplines within cancer biology, with particular emphasis on bioinformatics, molecular biology, and translational approaches to paediatric malignancies. Dr. Catchpoole has established microarray technology within the Children's Cancer Research Unit at Westmead and has extensive experience with gene expression analysis. His work bridges cellular and molecular approaches with clinical applications, focusing on improving outcomes for children with cancer through advanced genomic and bioinformatic techniques. Analysis of his recent publications reveals a strong focus on biobanking infrastructure, cancer genomics, neuroblastoma research, and computational approaches to omics data. His work demonstrates increasing integration of machine learning techniques with traditional molecular biology approaches, particularly in the analysis of neuroblastoma and other childhood cancers. The research shows a clear trajectory toward more sophisticated genomic analysis methods and their application to clinical problems in paediatric oncology. President of International Society for Biological and Environmental Repositories (2020-2021) Founding member of Australian Biospecimens Network Active participant in Australasia's Biospecimens Network Association Dr. Catchpoole has secured multiple significant research grants including NHMRC equipment grants for the Fluidigm BioMark HD system (2012) and the Ion Torrent Personal Genome Machine (2010), as well as Cancer Institute NSW grants for high-throughput virtual microscopy systems and research on systems biology for personalized medicine of childhood leukaemia. His work with the Tumour Bank has been instrumental in supporting childhood cancer research across multiple institutions. As Head of the Tumour Bank at The Children's Hospital at Westmead, Dr. Catchpoole leads a critical infrastructure for pediatric cancer research in Australia. His work establishing microarray technology within the Children's Cancer Research Unit has created a foundation for advanced genomic analysis of pediatric malignancies. The biobanking initiatives he has developed support multiple research teams investigating childhood cancers, providing essential resources for translational research from bench to bedside.

• Signal processing
• Audio processing
• Spatial audio
• +7 more

Professor Christian Ritz serves as Director of SMART and Professor in the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong. He has held his professorship since 2017 and served as Associate Dean (Research) in 2022 and Associate Dean (International) from 2016-2021. Professor Ritz's research focuses on signal processing for speech, audio, acoustics and visual information. His current projects include microphone array signal processing for enhancing sound recorded in classrooms, sound scene classification for dementia care environments, spatial audio for Virtual and Augmented Reality, and undersea surveillance. His work spans multiple technical domains including signal processing, audio engineering, computer vision, and communications engineering. His recent publication trends show a strong focus on neural network applications for audio processing, particularly for classroom monitoring and spatial audio reproduction. His work integrates deep learning with traditional signal processing techniques to address challenges in spatial audio synthesis, room impulse response generation, and directional audio reproduction. He has also contributed to applications in mining automation, public safety surveillance, and positioning systems. Professor Ritz is a member of the Centre for Signal and Information Processing (CSIP), part of the Signals, Information and Communications Research Institute (SICOM) at the University of Wollongong. His research is funded by the ARC, overseas research institutes, and defense organizations. His grant portfolio is extensive, including projects such as AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods, Multi-Modal Satellite-based Vessel Surveillance, Net Zero Industry and Innovation Program, Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane, and numerous projects related to spatial audio and underwater surveillance. He has secured funding from diverse sources including the Australian Research Council, defense organizations, and international collaborations. Professor Ritz maintains an active research laboratory environment focused on signal and information processing. His work spans multiple application domains from classroom monitoring to underwater mine detection, with strong connections to both academic and industry partners. His research group appears to focus on practical applications of signal processing techniques to solve real-world problems across various domains.

Christopher PapicView profile

Research Fellow

• Pain management after traumatic injury
• Musculoskeletal rehabilitation
• Whiplash injury management
• +5 more

Dr Christopher Papic is a Research Fellow at The University of Queensland's RECOVER Injury Research Centre within the Faculty of Health, Medicine and Behavioural Sciences. He is also an Affiliate of the Centre for Innovation in Pain and Health Research (CIPHeR) and holds an honorary academic position at the University of New England as a Lecturer in Clinical Exercise Physiology. With 10 years of clinical experience as an Exercise Physiologist (ESSA), he specializes in musculoskeletal rehabilitation and pain management following traumatic injuries. Education: Bachelor of Exercise and Nutrition Sciences, University of Sydney Masters (Research) of Exercise and Sport Science, University of Sydney Doctor of Philosophy of Exercise and Sport Science, University of Sydney Dr Papic has a dual research focus spanning sports biomechanics (particularly swimming performance) and health outcomes following road traffic injuries. His work in implementation science centers on translating research into practice, notably through the development of Australian whiplash clinical guidelines. He co-leads the 'Knowledge translation, education and implementation' theme for CIPHeR, focusing on optimizing pain management after traumatic injury. His publication record demonstrates expertise across two seemingly disparate fields: swimming biomechanics and rehabilitation medicine. The swimming research focuses on hydrodynamics, drag measurement, and technique optimization, while his clinical work addresses pain management, work incapacity after traffic injuries, and guideline implementation. This unique interdisciplinary approach bridges sports science with clinical rehabilitation. Scientific Recognition: World Physiotherapy Congress 2023 - Best Paper Award Presentations at International Association for the Study of Pain 2024 Workshop presentations at Australian Physiotherapy Association 2023 and Australian Pain Society 2024 Dr Papic is actively involved in knowledge translation, with his whiplash guidelines informing training packages used by insurance claims managers across Australia and the Netherlands. He currently supervises students and has secured funding from the Motor Accident Insurance Commission for projects including 'StressModex' for inpatient care following orthopedic road trauma and the 'RISE' text messaging pilot study for road traffic injury recovery. His clinical background as an Exercise Physiologist informs both his research methodology and practical implementation strategies. Dr Papic leads international guideline development efforts for chronic non-specific neck pain and has created the MyWhiplashNavigator platform with educational resources for healthcare professionals and insurers. His work bridges biomechanical research with clinical application, creating measurable impact in both sports performance and trauma rehabilitation fields.

• Machine Learning
• Cybersecurity
• Internet of Things (IoT)
• +3 more

Firas Al-Doghman is a Lecturer at the School of Computer Science, University of Technology Sydney. With expertise in Machine Learning, Cybersecurity, and Internet of Things (IoT), he teaches subjects like iOS Applications, Networking, and Data Engineering while conducting research on smart algorithms and their cybersecurity applications. PhD in Computer Engineering and Data Management (UTS, 2020) Teaching since 2017 at UTS Former Associate Researcher/Lecturer at UNSW ADFA Research focuses on: Machine Learning integration with cybersecurity Blockchain applications in real estate Edge computing security frameworks Consensus-based data aggregation Publications highlight advancements in: Cybersecurity for supply chains Fractional NFTs in property ownership Carbon credit price prediction models Secure microservices orchestration Key collaborations include researchers from UNSW and industry partners.

Jonghwan RheeView profile

Research Fellow

• Astrophysics
• Radio Astronomy
• Extragalactic Astronomy
• +5 more

Jonghwan Rhee is an Adjunct Research Fellow at the International Centre for Radio Astronomy Research (ICRAR) within The University of Western Australia. He earned his PhD from the Australian National University in 2015 and has since focused on neutral hydrogen gas surveys using the Australian Square Kilometre Array Pathfinder (ASKAP), particularly the WALLABY and DINGO projects. Role : Adjunct Research Fellow, ICRAR (UWA) Education : PhD (2015) from Australian National University Expertise : Radio astronomy, extragalactic studies, HI gas surveys, and machine learning for galaxy classification His research examines galaxy evolution through neutral hydrogen gas distributions, tidal interactions, and star formation processes in low surface brightness galaxies. Recent work includes developing machine learning frameworks for source-finding in radio data and analyzing perturbed galaxies via H i morphometrics. Key collaborations include contributions to the WALLABY pilot survey datasets, with focus areas in stellar mass dynamics, galaxy clusters, and gas scaling relations. His outputs have been referenced in news outlets, academic networks, and software repositories.

Jianglong YuView profile

Adjunct Professor

• Clean Energy
• Hydrogen Energy
• Carbon Materials
• +7 more

Jianglong Yu is an Adjunct Professor in the Department of Chemical & Biological Engineering at Monash University, where he also serves as Vice-President of the Suzhou Campus and Vice-Dean of the Monash-Southeast University Joint Graduate School. He maintains an honorary professorship at the University of Newcastle. His academic qualifications include a PhD in Chemical Engineering from the University of Newcastle (2003), an MSc in Mechanical Engineering from Liaoning Technical University (1991), and a BSc in Materials Science from the same institution (1988). Professor Yu's research spans multiple cutting-edge areas including clean energy conversion from coal and biomass, hydrogen energy systems, advanced carbon nanomaterials for batteries, catalytic flameless combustion, and AI applications in chemical processes. His work significantly contributes to sustainable development goals related to clean energy and industrial innovation. He has secured AUD 7.36 million across 56 research grants, supervised 70 higher-degree researchers (28 PhD, 42 Masters), and produced 224 journal publications. His recent articles focus on pyrolysis optimization, biodiesel efficiency, and waste valorization using machine learning techniques. Awards: Excellent Researcher of Shenyang City, University Talents Program of Liaoning Province Leadership: Founded the International Collaborative Centre for Carbon Futures (ICCCF) Collaborations: Maintains global partnerships across Australia, China, and Korea

• Fragment-based drug design
• Molecular characterization of NAD+ metabolism
• Computational drug discovery
• +7 more

Dr. Yun Shi is an ARC DECRA Fellow and NHMRC Investigator (Emerging Leadership) at Griffith University's Institute for Biomedicine and Glycomics. He holds a PhD in Chemistry from Simon Fraser University (2015) and has led research in NAD+ metabolism mechanisms, fragment-based drug discovery, and structural enzymology. His work focuses on neurodegenerative diseases and infectious disease targets, leveraging computational and biochemical methods. Key achievements include developing NMR-based drug discovery platforms and elucidating SARM1's role in axon degeneration. Research interests span molecular pharmacology, structural biology, and biochemistry. Recent work highlights include structural characterization of bacterial immune systems (2025), SARM1 inhibition strategies (2022–2023), and computational approaches for binding affinity prediction (2022). Awards include a 2024 Research Excellence Award and Young Scientist Fellowship (2024). Grants include NHMRC funding ($433k, 2025–2029) for neuroprotection research and ARC DECRA support ($503k, 2025–2027). He leads research groups within Griffith's interdisciplinary biomedicine institutes, collaborating internationally on drug discovery and structural biology.

• Safety-critical real-time systems
• Autonomous systems verification
• Robotics
• +3 more

Professor René Hexel currently serves as Dean (Learning & Teaching) and Pro Vice Chancellor (Sciences) at Griffith University, where he directs the Cyber-Physical Systems Lab. With over 85 peer-reviewed publications, he specializes in safety-critical real-time systems and autonomous system verification. 2022–present: Dean (Learning & Teaching), Griffith Sciences 2016–2022: Deputy Head of School (L&T), Griffith School of ICT 2007–2016: Director for Internationalisation, Griffith School of ICT 1999: PhD from Vienna University of Technology His research focuses on safety-critical systems , time-triggered protocols , and human-in-the-loop AI , with applications in aerospace, automotive, and healthcare robotics. Recent work explores humanoid robots for dementia care and verifiable executable models. Key article trends show expertise in: Formal verification techniques Robotics communication protocols Explainable machine learning Real-time system architectures Embedded system validation Human-robot interaction design Research grants include: Australian Space Manufacturing Network (2023–2025) SPASE STEM program grant (2022) Social media wellness monitoring (2019–2020) Internal Griffith grants (2003–2010) He has supervised 12 PhD candidates across topics including: Autonomous system verification Robotics security VR sickness mitigation Intelligent control systems Distributed real-time architectures Professor Hexel previously held academic positions at Vienna University of Technology and founded an IT consulting firm specializing in safety-critical systems.

Guy McCauleyView profile

Research Fellow

• Wave-Structure Interaction
• Hydrodynamics
• Offshore Renewable Energy
• +3 more

Guy McCauley is a Research Fellow at the UWA Oceans Institute within the School of Earth and Oceans at The University of Western Australia. His research focuses on wave-structure interaction problems and the hydrodynamics of floating and shallowly submerged bodies, particularly in offshore renewable energy systems. Currently, he is engaged in field data analysis for the TetraSpar offshore floating wind turbine. Education: PhD in Hydrodynamics (2021), The University of Western Australia B.Eng. (Mechanical Engineering, Honours) (2016), The University of Western Australia B.Sc. in Physics (2016), The University of Western Australia Research Interests: His work addresses sustainable energy solutions and fluid dynamics challenges, including wave energy converters, computational fluid dynamics (CFD), and fluid-structure interaction. He contributes to UN SDGs related to affordable and clean energy (SDG 7), sustainable cities and communities (SDG 11), and climate action (SDG 13). Notable Projects: Leading the 'Advancing ocean renewable energy systems through physics and machine learning' grant (2025–2027), funded by The Matariki Network of Universities. Labs/Teams: Collaborates with interdisciplinary teams focused on offshore energy systems, including partnerships with researchers like Dr. Orszaghova and Dr. Wolgamot.