Find Academic Supervisors

• Neuropharmacology
• Medicinal Chemistry
• Pharmacology
• +7 more

Professor Jane Hanrahan is a leading academic in the School of Pharmacy at the University of Sydney, where she holds the rank of Professor in Pharmaceutical Sciences. She has served on the University of Sydney Academic Board since 2002 and chairs the Undergraduate Studies Committee, with prior roles in the Therapeutic Goods Administration Advisory Committee on Prescription Medicines (2013). Her career spans postdoctoral research at Cardiff (1996-97), lectureships in Pharmacology (1997-2002), and progressive promotions to Professor (2014). Education: BSc (Hons), University of Sydney PhD, University of Warwick (UK) Graduate Diploma in Educational Studies (Higher Education) Her research focuses on GABA receptors in anxiety, sleep disorders, schizophrenia, epilepsy, and learning/memory, with an emphasis on synthesizing conformationally restrained GABA analogues and exploring natural products from traditional herbal medicines. Key themes include neuropharmacology, medicinal chemistry, and mental health. Recent publications highlight trends in GABA receptor modulation (11/15 articles), traditional medicine analysis (4/15), and clinical pharmacy applications (4/15). Notable collaborations include work with Chebib, Johnston, and Collins on receptor-specific drug design. Grants and Committees: NHMRC Project Grants (2005-2014) on GABA receptors and neuroprotection Chair of Academic Board Undergraduate Studies Committee Member of Therapeutic Goods Administration Advisory Committee

• Cataract Surgery
• Glaucoma Management
• Intraocular Lens (IOL) Technology
• +6 more

Clinical Associate Professor Tim Roberts is a cataract and glaucoma specialist at the University of Sydney and Royal North Shore Hospital. He holds a MBBS from UNSW, MMed from Sydney, and is a Fellow of RANZCO. His academic roles include Academic Lead for Ophthalmology at SERT Institute and Academic Coordinator at the Northern Clinical School. Education: MBBS (UNSW), Master of Medicine (Sydney), specialist training at Sydney Eye Hospital. Research focuses on femtosecond lasers, IOL power formulas, MIGS, and presbyopia-correcting lenses. He has published >60 articles and serves on editorial boards for major ophthalmology journals. Recent articles emphasize IOL technology advancements and surgical efficiency improvements. Awards include Global Achievement Awards from AAO and APACOS. Leadership roles include NSW QEC Chair and National Medical Director of Vision Eye Institute. Advises on >38 students via collaborative research projects. Labs/Teams: Leads surgical training programs at SERT Institute and collaborates with international eye care initiatives like Myanmar Eye Care Program.

• Nursing Education
• Clinical Simulation
• Patient Safety
• +3 more

Stephen Edward Guinea is a Researcher at the Australian Catholic University 's Faculty of Health Sciences , specializing in healthcare simulation and clinical education. His work focuses on improving patient safety, nursing and occupational therapy curricula, and simulation pedagogy. Developed the Tag Team Patient Safety Simulation methodology Created mnemonics for quality simulation practices Advocated for simulated clinical placements in occupational therapy His research spans Nursing Education , Clinical Simulation , and Healthcare Training Methodology , with significant contributions to evidence-based simulation design. Recent publications explore mental health simulation, embedded simulation models, and economic evaluations of simulation training. Guinea collaborates extensively with healthcare educators and institutions, emphasizing interdisciplinary approaches and competency development. Key collaborations include partnerships with Christine Imms (occupational therapy simulation), Tracey Levett-Jones (nursing safety frameworks), and Patrea Andersen (simulation design standards).

• Autonomous Driving
• Machine Learning
• Wireless Communication
• +11 more

Dr. Tao (Kevin) Huang is a researcher at James Cook University's College of Science and Engineering, with expertise spanning autonomous driving, wireless communication systems, and medical imaging applications. His work integrates machine learning, sensor fusion, and multimodal data analysis to address complex challenges in vehicular networks, environmental monitoring, and healthcare technology. Research Interests: Dr. Huang's research focuses on Autonomous driving perception systems IoT-enabled vehicular networks AI for medical diagnostics and environmental sensing Signal processing and privacy-preserving communication protocols Recent Publications: His 2025 work emphasizes advancements in V2X cooperative perception, radar-LiDAR-camera fusion, and diffusion models for medical imaging. Key trends include cross-modal robustness, real-time processing for autonomous systems, and AI applications in sustainability.

Natasha Anne RappaView profile

Associate Professor

• Educational Technology
• Teacher Education
• Higher Education
• +9 more

Natasha Anne Rappa is an Associate Professor in the School of Education at Murdoch University, within the College of Health and Education. Her research focuses on educational technology, generative AI, virtual/mixed reality learning, and 21st-century skills. She holds a PhD from the University of Sheffield and an MA from the University of Michigan. Education: PhD in Education, University of Sheffield (2011–2015) MA in Educational Studies, University of Michigan–Ann Arbor (2010–2011) Postgraduate Diploma in Education, Nanyang Technological University (1996–1997) Bachelor of Arts with Honours, National University of Singapore (1992–1996) Awards: 2024 Vice Chancellor's Award for Excellence in Postgraduate Supervision 2021 Vice Chancellor’s Award for Excellence in Research and Innovation 2008 Lenovo Innovation Merit Award 2003 Service Excellence Award (Ministry of Education, Singapore) Her work explores AI-driven pedagogy, simulation-based learning, and MOOCs. Recent projects include dialogic approaches to AI integration in secondary education and the validation of work readiness scales. She actively contributes to journals like British Journal of Educational Technology and Asia-Pacific Education Researcher .

Benjamin TurnbullView profile

Associate Professor

• Cyber Security
• Simulation
• Digital Forensics
• +6 more

Associate Professor Benjamin Turnbull is Deputy Head of School at UNSW Canberra's School of Systems & Computing. His research focuses on cybersecurity, simulation, and emerging technologies, aiming to develop decision support systems for cyber resilience. He leads large-scale research projects funded by organizations like CSIRO, Australian Defence Force, and the US Naval Research Laboratory, totaling over $3 million AUD in grants. Teaching contributions include co-creating the Bachelor of Cyber Security program and directing multiple postgraduate cybersecurity offerings. His educational design emphasizes industry-relevant courses, from undergraduate to executive programs like the UNSW Online Cyber Security Masters. He has extensive experience in curriculum design, content development, and online education. Research interests span cyber situation awareness, secure simulation platforms, and automated learning from big datasets. Notable projects include the UNSW-MG24 microgrid cybersecurity dataset and frameworks like OQFL (quantum-based federated learning) for intelligent transportation systems. His work bridges theory and practice, with outputs including software tools and policy recommendations for cyber resilience in critical infrastructure. Key collaborations include the Cyber Cooperative Research Centre and DST Group. He has authored over 100 peer-reviewed publications, focusing on IoT security, blockchain-enabled learning, and cyber-physical-social systems resilience. His grants emphasize applied research with direct societal impact, such as mitigating supply chain cyber risks and enhancing microgrid cybersecurity.

Mingyan LiView profile

Research Fellow

• Imaging
• Sensing
• Biomedical Engineering
• +3 more

Dr. Mingyan Li is an Adjunct Research Fellow at The University of Queensland's School of Electrical Engineering and Computer Science. Their research focuses on advanced imaging and sensing technologies with applications in biomedical engineering, particularly in MRI system development, RF coil design, and medical signal processing. They hold a PhD from The University of Queensland (2015). Research interests include high-field MRI systems, rotating RF coil technologies, MRI-Linac integration, and electrical properties tomography (EPT). Key contributions include innovations in MRI-Linac distortion correction, RF shielding for SAR reduction, and deep learning approaches for cardiac arrhythmia classification. Publications span MRI hardware optimization, image reconstruction algorithms, and biomedical signal analysis. Collaborations include work on metamaterial-inspired RF shielding and multi-modal antenna systems for body MRI.

Thomas ChaffeyView profile

Lecturer

• Nonlinear Control Theory
• Convex Optimization
• Circuit Theory
• +3 more

Dr. Thomas Chaffey is a Lecturer in the School of Electrical and Computer Engineering at The University of Sydney. His research focuses on nonlinear control theory, convex optimization, and neuromorphic systems. He obtained his PhD from the University of Cambridge (2022) and held the Maudslay-Butler Fellowship at Pembroke College, Cambridge (2022–2025). Education: PhD in Control Theory, University of Cambridge (2022) Maudslay-Butler Fellowship in Engineering, Pembroke College, Cambridge (2022–2025) Master's in Mechanical Engineering, University of Sydney (Australia) Bachelor's in Mathematics and Computer Science, University of Sydney (Australia) Research Interests: Nonlinear control theory and its intersections with optimization and circuit theory Development of neuromorphic systems and analog hardware simulation Monotone operator methods and large-scale optimization algorithms Key Research Trends in Articles: Advances in graphical methods for nonlinear system analysis (e.g., scaled relative graphs) Analysis of neuromorphic circuits using convex optimization frameworks Exploration of symmetry properties in physical systems Awards: Best Student Paper Award, 2021 European Control Conference Outstanding Student Paper Award, 2021 IEEE Conference on Decision and Control Labs/Teams: Leading projects on learning in physical systems and monotone circuits Collaborations with institutions like Lund University and University of British Columbia

David LangeView profile

Associate Professor

• Fire Safety Engineering
• Structural Engineering
• Risk Analysis
• +3 more

Associate Professor David Lange serves as Deputy Director of Higher Degree by Research at the School of Civil Engineering , University of Queensland . With academic qualifications from the University of Edinburgh (PhD and MSc), he specializes in fire safety engineering and structural engineering , focusing on timber buildings, lithium-ion battery fire safety, and risk analysis techniques. Chartered Engineer (CPEng), Fellow of Engineers Australia (FIEAust) Registered Professional Engineer of Queensland (RPEQ) APEC Engineer and International Professional Engineer (IntPE) His research explores fire behavior in mass timber structures , vertical fire spread , and infrastructure resilience . Publications highlight his expertise in probabilistic modeling, fire dynamics, and structural response to extreme conditions. Recent collaborative studies examine flame spread in ventilated façades, compartment fire behavior, and risk evaluation frameworks. He actively supervises PhD projects in areas like fire safety of low-carbon concrete, diagrid structures, and physics-informed machine learning for fire modeling.

Xiaoyang WangView profile

Senior Lecturer

• Graph Processing
• Graph Neural Networks
• Spatial Data Processing
• +10 more

Xiaoyang Wang is a Senior Lecturer in the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Bachelor's and Master's degree in Computer Science from Northeastern University, China, and earned his PhD from CSE UNSW. Dr. Wang's research focuses on database systems with a special emphasis on query processing and data mining on large-scale graph, spatial, and streaming data. His expertise extends to data-driven machine learning, smart contract analysis on blockchain, and FinTech with financial network analysis. His work spans Graph Processing, Graph Neural Networks, Spatial Data Processing, AI for Databases (AI4DB), Database for AI (DB4AI), and FinTech applications. His publication record shows significant contributions to the field with 7 book chapters, 56 journal articles, 61 conference papers, 7 edited conference proceedings, and 4 conference abstracts. Recent publications (2022-2025) demonstrate his strong research trajectory in advanced graph processing techniques, neural network applications, and innovative database approaches. Key themes include hierarchical contrastive learning, robust attack frameworks, temporal graph processing, influence maximization, knowledge graph-enhanced reasoning, and rumor mitigation. Dr. Wang actively recruits PhD students interested in pursuing research in related fields and encourages current undergraduate and master's students at UNSW to contact him about research opportunities. He maintains an active research agenda with practical implications for industries dealing with large-scale network data, financial technology applications, and data-intensive systems. He can be reached at xiaoyang.wang1@unsw.edu.au and is located in Engineering building K17-501D at UNSW.

Aleksandr ZinovievView profile

Research Fellow

• Additive manufacturing
• Metal 3D printing
• Materials science
• +6 more

Aleksandr Zinoviev is a Senior Research Associate at the School of Engineering and Information Technology (SEIT) at UNSW Canberra, where he has been working since 2022. His research spans multiple institutions across the globe, including previous positions at Siemens Digital Industries Software in Belgium, University of Bremen and AMSIS GmbH in Germany, and Institute of Strength Physics and Materials Science of the Russian Academy of Sciences and Tomsk Polytechnic University in Russia. He has also conducted research stays at the University of Bremen (Germany) and São Paulo State University (Brazil). Dr. Zinoviev's research interests are highly interdisciplinary, focusing on metal additive manufacturing, thermodynamics of materials, computational materials science, solid mechanics, software engineering, and machine learning. He specializes in developing and applying novel knowledge-based approaches to address engineering challenges, particularly in improving materials and parts produced by advanced manufacturing, optimizing production processes, and enhancing data processing. His work bridges the gap between fundamental materials science and practical engineering applications, with a strong emphasis on computational modeling and simulation. Analysis of his recent publications (2021-2025) reveals a consistent focus on additive manufacturing process modeling, microstructure-property relationships in additively manufactured metals, and computational approaches to materials science. His research particularly emphasizes cellular automata modeling, multiscale simulation techniques, and the application of machine learning to materials processing. The publications demonstrate expertise in both experimental characterization and advanced computational methods for predicting mechanical behavior of additively manufactured components. Dr. Zinoviev actively mentors prospective PhD and Research Master's candidates, offering guidance on topics related to thermal modeling of additive manufacturing and process optimization. He has indicated that scholarships of up to $35,000 (AUD) are available for qualified candidates who achieved High Distinction in their undergraduate program and/or have completed a Masters by Research.

Luca ModeneseView profile

Senior Lecturer

• Computational biomechanics
• Musculoskeletal modeling
• Neuromuscular modeling
• +2 more

Dr. Luca Modenese is a Senior Lecturer in Biomechanics at the Graduate School of Biomedical Engineering, University of New South Wales (UNSW). A recipient of the prestigious Scientia Fellowship , his research focuses on computational biomechanics with specialization in musculoskeletal and neuromuscular modeling. He has extensive experience across institutions including Imperial College London, Griffith University, and Sheffield University. Education : Mechanical Engineering (summa cum laude), University of Padua (2008) PhD in Structural Biomechanics, Imperial College London (2013) Research Expertise spans musculoskeletal modeling, neuromuscular simulation, orthopaedic biomechanics, and predictive computational methods. His work integrates patient-specific modeling with finite element analysis and predictive simulations. Recent publications highlight advancements in GAN-based motion data generation , electromyography-informed models , and AI-enhanced biomechanical analysis . Scientific Recognition : Scientia Fellowship (UNSW) Athanasiou ABME Award (2021) Publication of the Year (Australia and New Zealand Society of Biomechanics, 2017) Griffith University Awards (2015) OpenSim Fellows Program (Stanford, 2014) Supervision & Collaboration : Currently supervising PhD students Arnault Caillet and Metin Bicer at Imperial College London as external supervisor. Actively involved in research partnerships with institutions including Imperial College London, Stanford University, and the Menzies Health Institute Queensland.

• Medical Education
• Clinical Assessment
• Curriculum and Pedagogy
• +4 more

Karen D'Souza serves as an Associate Professor in Medical Education at Deakin University's School of Medicine within the Faculty of Health. Based at the Geelong Waurn Ponds Campus, she focuses on education-centered academic work rather than clinical practice. Her contact information includes phone number +61 3 522 72116 and email karen.dsouza@deakin.edu.au. Dr. D'Souza earned her Bachelor of Medicine & Bachelor of Surgery from the University of Melbourne, establishing her medical credentials before transitioning to medical education specialization. Her academic journey shows a clear progression from clinical medicine to educational leadership, with her early publications including echocardiography research before shifting focus to medical education methodologies. Her research interests center on medical education with particular expertise in clinical assessment systems, OSCE development, and curriculum design. She has made significant contributions to understanding assessment methodologies, examiner decision-making processes, and adaptations to clinical education during the pandemic. Her work demonstrates how professional expectations influence clinical assessment outcomes and how to improve assessor judgments in medical student evaluations. Analysis of her publication trends reveals a consistent focus on improving medical education assessment practices, with increasing attention to collaborative approaches across Australian medical schools. Her recent work (2023-2024) continues to refine assessment guidelines for final-year medical students while addressing contemporary challenges in clinical education. Researcher of the year (teaching & learning) award from Smart Geelong Network (2009) Dr. D'Souza's collaborative research approach is evident in her extensive co-authorship patterns, particularly with researchers like Malau-Aduli BS and Hays RB. Her grant activity includes the 2009 Smart Geelong Network award which funded collaborative work with colleagues Ward A, Leeuw ED, Crotty B, and Milnes S. Her research demonstrates strong institutional partnerships across Australian medical education. Her work has significantly influenced OSCE practices across Australian medical schools, contributing to standard setting methods and pandemic adaptations. Dr. D'Souza's research program represents a sustained effort to improve the validity and reliability of clinical assessment in medical education through cross-institutional collaboration and evidence-based practices.

• Mental Health
• Open Dialogue
• Nursing Education
• +4 more

Andrea McCloughen is an Associate Professor in Mental Health Nursing and Director Academic Education at the Susan Wakil School of Nursing and Midwifery, University of Sydney. She holds a PhD from University of Western Sydney and is a respected researcher and clinician in mental health nursing, with expertise in Open Dialogue, emotion regulation, and healthcare education. Her leadership roles include Director Postgraduate Advanced Studies and Coordinator of Mental Health Nursing programs. She is a Fellow of the Australian College of Mental Health Nurses and Senior Fellow of Advance HE. Education: PhD (UWS), MN (Mental Health) (UWS), BN (UWS) Certifications: Credentialled Mental Health Nurse, Open Dialogue Therapist, Mental Health First Aid Instructor Research focuses on Open Dialogue practices, mental health service innovations, and healthcare student education. Key projects include implementing Open Dialogue in schools and mental health systems, and examining physical health management in mental health populations. Teaching contributions span undergraduate and postgraduate nursing programs, emphasizing recovery-oriented care and advanced practice roles. She has led multiple educational grants totaling over $100k, including innovations in clinical debrief models and cooperative learning with mental health consumers. Awarded over a dozen honors including the Makers and Shapers Award (2023) and multiple Best Paper awards. Supervised 12+ HDR students, with active projects on emergency nursing protocols and Open Dialogue impacts. Collaborates internationally, particularly with Danish researchers on physical health in schizophrenia.

Paul StricklandView profile

Senior Lecturer

• Ethnic restaurants
• Bhutanese studies
• Gastronomy
• +3 more

Dr. Paul Strickland is a Senior Lecturer and Discipline Lead for Tourism, Hospitality, and Events at La Trobe University, with affiliations in both Bundoora (Australia) and Singapore. He holds a PhD in wine event stakeholders' research and has extensive industry experience across pubs, hotels, and international events. His academic roles include Editorial Board positions for journals like Cultural Heritage and Authenticity in Tourism and International Journal of Smart Business and Technology . Education: PhD (La Trobe University, 2012–2022), MA (La Trobe, 2010–2012), BBus in Hospitality Management (La Trobe, 1993–1995). He also completed a Graduate Certificate in Higher Education (2023). Research focuses on ethnic restaurants , Bhutanese cultural studies , wine tourism marketing , and space tourism . Notable projects include Bhutan’s stray dog tourism impact analysis and OLT-funded simulation-based pedagogy initiatives. His work bridges industry practice and academia, emphasizing experiential learning and sustainable development. Teaching spans Tourism Simulation , Hospitality Management , and Wine Tourism Marketing . He has advised institutions like Melbourne Polytechnic and Box Hill Institute. Grants include the 2022 OLT grant for enhancing learning outcomes through simulations. Professional activities include editorial roles, media collaborations (e.g., Asia Rising Podcast on Bhutan tourism), and advisory positions for the Australian Consortium for Indonesian Studies. His research outputs span over 80 articles/books, with recent trends focusing on crisis management in events, smart technology adoption in hospitality, and Bhutanese student motivations.