جستجوی استاد راهنمای دانشگاهی

• Heterogeneous Catalysis
• Materials Characterisation
• Environmental Chemistry
• +۷ مورد دیگر

Assoc Prof Francois Malherbe is an Associate Professor in Chemistry & Environmental Science at Swinburne University of Technology, affiliated with the School of Science, Computing and Emerging Technologies. He holds a European PhD in Catalysis and has been a faculty member since 2000, following research roles at British Petroleum and Monash University. PhD, Université Blaise Pascal, France (1997) MPhil in Materials Science, Université Blaise Pascal Bachelor of Science in Chemistry, Université Blaise Pascal Graduate Diploma in Frontline Management, Swinburne University of Technology His research focuses on advanced materials characterization using techniques like EXAFS, XANES, Raman, XPS, and FTIR to understand the microscopic structure of materials and their bulk properties. He integrates theoretical modeling and data analysis to develop smart materials and improve catalytic systems. His work spans environmental applications such as phosphate and nitrate removal, hydrogen sensing, and waste valorization. His recent publications reflect a strong trend in materials for environmental and energy applications, particularly in catalysis using iron sulfides, graphene-based adsorbents, and liquid metal alloys. He frequently employs X-ray absorption spectroscopy and sonochemical methods to probe material structures and enhance performance. Vice-Chancellor's Award for Global Initiatives (2014) Malherbe has secured over $1 million in competitive funding from ARC and other agencies, including ARC LIEF, Linkage, and APAI grants. He actively supervises numerous PhD and Master’s students, with research topics ranging from liquid metal catalysis to biopolymer extraction. He is also deeply involved in student empowerment through professional partnerships and undergraduate research initiatives, currently serving on the Australasian Council for Undergraduate Research. He leads cross-disciplinary collaborations and has contributed to the development of advanced analytical facilities at Swinburne. His work aligns with multiple Sustainable Development Goals, including Clean Water, Climate Action, and Sustainable Cities.

• Cybersecurity
• Wireless Sensor Networks
• Smart Grid Security
• +۷ مورد دیگر

Dr. Yee Wei Law is a Senior Lecturer at the University of South Australia's (UniSA STEM) Mawson Lakes Campus. His research expertise spans cybersecurity, machine learning, and wireless sensor networks, with a focus on secure communication systems and autonomous vehicle localization. He serves as a Research Degree Supervisor and actively contributes to publications in IoT security, space systems, and privacy-preserving technologies. Research Trends : Recent work emphasizes domain adaptation for predictive maintenance, adversarial attack analysis in computer vision, and quantum key distribution for satellite-IoT networks. Key themes include security in smart grids, UAV-based gesture recognition, and collaborative privacy-preserving algorithms. Publications highlight interdisciplinary applications of machine learning in fault diagnostics, cloud detection via satellite, and secure networking protocols. His work bridges theoretical advancements with real-world implementations in hypersonic tracking and RFID security.

• Data Mining
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Can Wang is a Senior Lecturer in Computer Science at Griffith University's School of Information and Communication Technology on the Gold Coast Campus, Australia. She has held this position since January 2020, having previously served as a Lecturer at the same institution from May 2017. Dr. Wang is a member of the Institute for Integrated and Intelligent Systems (2018-2024) and has extensive academic experience including a Postdoctoral Fellowship at Data61, CSIRO (2014-2016) and a Research Associate position at the University of Technology Sydney (2013). PhD in Computer Science from University of Technology Sydney, Australia (2009-2013) Master of Science from Wuhan University, China (2007-2009) Bachelor of Science from Wuhan University, China (2003-2007) Dr. Wang's research focuses on designing models and algorithms for heterogeneous and interdependent behavioral data to make predictions and recommendations. Her work aims to propose new frameworks and theories in data mining and machine learning while applying AI and big data analytics to multidisciplinary domains including social media, tourism, drug discovery, hospital admission, and medical mining. She has published over 80 high-quality publications with real applications and deployments. Her recent publications (2023-2025) demonstrate a strong focus on heterogeneous network analysis, recommendation systems (particularly point-of-interest recommendations), fake news detection, and the integration of Large Language Models with traditional recommendation approaches. Her work spans both theoretical advancements in machine learning algorithms and practical applications across healthcare, social media, and tourism domains, showing her commitment to bridging the gap between academic research and real-world problems. Dr. Wang actively supervises doctoral students, serving as Principal Supervisor for projects related to Large Language Models analysis, multi-media data summarization, and point-of-interest recommendation systems. She also serves as PROGRAM DIRECTOR for the Graduate Certificate in Data Science, Master of Data Science, and Master of Information Technology programs, and as PROGRAM ADVISOR for multiple undergraduate and graduate programs including various Bachelor of Science combinations and Cyber Security certificates. Her funded research includes significant projects such as the NSF-CSIRO collaboration on 'Towards Interpretable and Responsible Graph Modeling for Dynamic Systems' (2024-2027), multiple Griffith Sciences Advancing Women's Research Success Grants (2021-2024), and projects focused on patient readmission prediction, social media analysis during pandemics, and tourism market analysis in Queensland.

• Quantum Technologies
• Solid-State Spectroscopy
• Diamond Quantum Science
• +۵ مورد دیگر

Marcus Doherty is an Honorary Professor at the Australian National University, affiliated with the Physics Education Centre and leading the Diamond Quantum Science and Technology research program. His career spans theoretical and experimental advancements in diamond-based quantum technologies, including quantum microscopy, computing, and communications. Education: Ph.D. and Bachelor's degrees in Engineering and Science from the University of Melbourne. Research: Focus on optical defects in diamond (particularly NV centers), their theoretical modeling, and applications in quantum technologies. Key Contributions: First self-consistent theory of NV centers, enabling sensitive quantum electrometry, nanothermometry, and biomedical applications like thermoablative cancer therapy. Awards: Ruby-Payne Scott Award (2016), Geoff Opat Award (2015), Chancellor's Prize for Excellence in PhD (2013), and multiple fellowships and grants. Marcus' recent work explores defect discovery, quantum microscopy, and room-temperature quantum computing. His research bridges first-principles defect theory with quantum device design, supported by international collaborations. Scientific awards include: Ruby-Payne Scott Award (2016) Geoff Opat Early Career Prize (2015) Dr Phillip Law AC Postdoctoral Award (2015) Chancellor's Prize for Excellence in PhD Thesis (2013) Nomination for Bragg Gold Medal (2012) Marcus has secured grants from the Australian Research Council (ARC), DAAD-Go8, ANU Major Equipment Committee, and other institutions. He collaborates with leading groups globally, including Harvard University, University of Stuttgart, and University of Ulm.

Rand Lowمشاهده پروفایل

دانشیار

• Quantitative Finance
• Portfolio Optimization
• Risk Management
• +۹ مورد دیگر

Dr Rand Low is an Associate Professor of Quantitative Finance at Bond Business School , with an Honorary Associate Professor role at the University of Queensland. He works at the Centre for Data Analytics and holds a Chartered Professional Engineer designation from Engineers Australia. PhD in Finance, University of Queensland (2009-2013) Bachelor's degrees in Engineering and Computer Science, University of Melbourne (2001-2005) Graduate Diploma in Project Management, University of New England His research focuses on portfolio optimization , risk management , and machine learning applications in finance, particularly for corporate bonds , digital assets , and commodities . He has published in top journals including Journal of Banking & Finance and Energy Economics . Dr Low's work has been recognized through awards like the Australia Awards - Endeavour fellowship and Dean's Award for Research Higher Degree Excellence . He actively supervises HDR students and serves on editorial boards for journals with Q1 rankings. Industry experience includes leadership roles at Bank of America Merrill Lynch and BlackRock in New York, where he developed quantitative models for market risk , structured products , and model governance . He currently works on the RBA's CBDC Pilot for blockchain-based corporate bond settlement.

• Neonatal care
• Nursing-led healthcare innovation
• Nurse practitioner workforce development
• +۳ مورد دیگر

Professor Deborah Harris is a Joint Chair in Nursing and Midwifery Research at the University of Newcastle and Hunter New England Health. She is internationally recognized for her work in neonatal care, nurse practitioner workforce development, and health service research. PhD in Nursing, University of Auckland Masters in Health Sciences, University of Auckland Her research focuses on: Neonatal hypoglycemia management (Sugar Babies Study, GLOW Study) Nurse practitioner policy and practice (NPWORKS survey) Intravenous dextrose treatment and neonatal intensive care Scientific awards include the Prime Minister's Science Prize (2022) . She supervises postgraduate students and leads national collaborations on neonatal health guidelines.

Elizabeth Akinyi Ondulaمشاهده پروفایل

استادیار

• Artificial Intelligence
• Reinforcement Learning
• Decision Theory
• +۳ مورد دیگر

Elizabeth Akinyi Ondula is an Assistant Professor of Computer Science at Winthrop University , with a Ph.D. in Computer Science from the University of Southern California where she was part of the Autonomous Networks Research Group under Prof. Bhaskar Krishnamachari. Her research focuses on AI systems operating under uncertainty , integrating reinforcement learning , decision theory , and control-theoretic perspectives to design reliable AI for high-stakes environments . Research Interests She specializes in: Evaluating AI decision-making under stochastic environmental and model variability Developing domain-specific frameworks for AI deployment in physical/social contexts Designing interpretable and safe AI through coordination structures and information pattern analysis Her work spans epidemic response systems (SafeCampus-RL, Classroom-MDP), multi-agent fairness frameworks (Fair-MARL), and agricultural optimization tools for Kenyan farmers. Teaching Roles (Fall 2025) CSCI 475: Software Engineering I CSCI/DIFD 141: Introduction to Web Application Design CSCI 245: Front End Web Development Her email is eondula@usc.edu .

Zoltan Kocsisمشاهده پروفایل

مدرس

• Mathematical Logic
• Set Theory
• Lattices
• +۲۸ مورد دیگر

Dr. Zoltan Kocsis is a mathematical logician and educator based at the University of New South Wales (UNSW), where he currently holds the position of Adjunct Lecturer. His research spans multiple areas including proof theory, nonstandard analysis, category theory, and computational logic, with a focus on logical verification, degree of satisfiability, and structured decompositions. PhD in Mathematics from the University of Manchester (2019) Adjunct Lecturer at UNSW Work with interactive theorem proving software like Agda Dr. Kocsis' work on degree of satisfiability explores the probability of logical formulas holding in algebraic structures, revealing gaps in equations from Heyting algebras to group theory. His research on structured decompositions and spined categories provides categorical frameworks for fixed-parameter tractability and tree-width generalizations. In formal verification, he contributed to the seL4 kernel on RISC-V architecture. Recent publications include Proof-theoretic methods in quantifier-free definability (2025), Apartness relations between propositions (2024), and Degree of satisfiability in Heyting algebras (2024). Earlier works cover pseudo-random sequences, homology, and nonstandard analysis in group theory. He has received the CSIRO SCS Engineering and Technology award (2021) and the IBM Prize (2018) for his contributions to logical satisfiability. His collaborations include work with Ben Bumpus on spined categories and Jade Master on structured decompositions, alongside teams at CSIRO and Tallinn University of Technology.

Michael Geoffrey Jamesonمشاهده پروفایل

پژوهشگر

• Medical Physics
• Radiation Oncology
• MRI
• +۹ مورد دیگر

Dr. Michael Geoffrey Jameson is a Medical Physics researcher at the University of New South Wales, Medicine & Health faculty, based at St Vincent's Clinical School. His work focuses on improving radiotherapy accuracy and precision through innovative research across the entire treatment planning and delivery process. Education: Ph.D., University of Wollongong, NSW, Australia (2016) B.Med.Rad.Phys (hons1), University of Wollongong, NSW, Australia (2007) His research interests center on Medical Physics, Radiation Oncology, MRI applications, Image Processing, Radiation Dosimetry, and 3D Printing. Dr. Jameson has made significant contributions to understanding uncertainties in target delineation and has co-invented The HexaCheck medical device, now licensed to Standard Imaging Inc. His publications demonstrate a strong focus on adaptive radiotherapy, particularly for brain cancer treatment, with an emphasis on integrating MRI technology to improve treatment accuracy. Scientific Recognition: Cancer Institute NSW Early Career Fellowship recipient NHMRC Program Grant recipient Associate Editor, Australasian Physical & Engineering Sciences in Medicine (since 2014) Dr. Jameson serves as Principal Investigator on multiple research projects including the INTREPID trial for brain cancer outcomes and has secured significant funding from Cancer Institute NSW, NHMRC, and UNSW. His professional affiliations include the Australasian College of Physical Scientists and Engineers in Medicine, Australian Institute of Physics, American Association of Physicists in Medicine, and Trans-Tasman Radiation Oncology Group.

• Cognitive Science
• Mathematical Psychology
• Memory
• +۴ مورد دیگر

Professor Scott Brown is a distinguished cognitive scientist at the University of Newcastle, where he serves as Professor in the School of Psychological Sciences within the Psychology department. With a unique interdisciplinary background combining psychology and mathematics, Brown has established himself as a leading researcher in mathematical psychology, focusing on how humans process information, make decisions, and solve complex problems. His academic journey began at the University of Newcastle, where he earned multiple degrees: Bachelor of Science (Psychology) Bachelor of Mathematics Bachelor of Science PhD in Psychology After completing his doctorate in 2002, he spent four years as an Assistant Professor at UC Irvine before returning to Australia to join the University of Newcastle. His research has been consistently supported by prestigious fellowships, including an Australian Research Council (ARC) Fellowship from 2008-2013 and a Queen Elizabeth II Fellowship from 2006-2010. Professor Brown's research program uniquely bridges theoretical cognitive science with real-world applications. His primary focus is on mathematical modeling of higher-order cognitive processes, particularly memory and decision-making. What sets his work apart is the application of these models to critical real-world scenarios where human cognition directly impacts outcomes. His team employs a combination of laboratory experiments and analysis of real-world data to develop precise mathematical theories that can make exact predictions about human behavior and thinking. He frequently emphasizes that mathematical theories in psychology allow for precision impossible to achieve with intuition alone. Brown's recent publications reveal a researcher at the forefront of several exciting interdisciplinary frontiers. His work spans from understanding medical decision-making in cancer patients to developing countermeasures against cyber hackers by exploiting their cognitive biases. He has also applied psychological theory to citizen science efforts for endangered species conservation and to improving public transportation systems. The mathematical rigor of his approach is evident across all these domains, with consistent emphasis on developing models that can make precise, testable predictions about human behavior in critical situations. Among his notable scientific achievements are being named a Fellow of the Society for Mathematical Psychology (2015) and a Fellow of the Psychonomic Association (2012). He has also received prestigious New Investigator Awards from both the Society for Mathematical Psychology (2008) and the American Psychological Association (2006). These awards recognize his significant contributions to advancing mathematical approaches in psychological science. Professor Brown has successfully secured substantial research funding, particularly through competitive Australian Research Council grants. His work often involves interdisciplinary collaboration across psychology, mathematics, computer science, medicine, and ecology. He has mentored numerous PhD students and early-career researchers, taking particular pride in how his former students have 'gone on to think much bigger, brighter and deeper thoughts than me!' His approach to research emphasizes the importance of mathematical precision in understanding human cognition, challenging common misconceptions about psychological research, particularly the notion that 'everyone understands what it is to be human' therefore psychological research is unnecessary. Currently, Brown leads a strong research group focused on mathematical psychology, collaborating with researchers across multiple disciplines. His lab investigates how cognitive models can be applied to improve outcomes in critical domains including healthcare decision-making and cybersecurity. One particularly innovative project involves studying state-sponsored hackers to develop cognitive countermeasures that can impede their effectiveness by exploiting psychological biases. This work, funded by a US intelligence agency, represents the cutting-edge application of cognitive science to national security challenges.

Yong Wangمشاهده پروفایل

مدرس ارشد

• Food Engineering
• Food Technology
• Non-Newtonian Fluid Flows
• +۷ مورد دیگر

Dr. Yong Wang serves as Senior Lecturer in the School of Chemical Engineering at the University of New South Wales Sydney, where he leads cutting-edge research in food engineering and technology. His academic journey includes a PhD from a joint program between China Agricultural University and University of California Davis (2011), followed by research positions at Monash University (2019-2020) and COFCO Nutrition and Health Research Institute in Beijing (2011-2019), including an Australian Endeavour Fellowship at The University of Queensland in 2016. Most recently, he was awarded an OECD Fellowship for the Co-operative Research Programme: Sustainable Agricultural and Food Systems, collaborating with MIT in April-June 2024. Dr. Wang's research focuses on food structure design (including mechanical properties for solid foods and rheological design for liquid/semi-solid foods), food processing technology (drying, emulsion, encapsulation), plant-based food developments, and human mimicking digestion systems. His work bridges fundamental science with practical applications in sustainable food systems, with particular emphasis on improving plant-based alternatives and novel food manufacturing processes. His current research projects span plant milk technologies, Australian hazelnut processing, alternative texturizers for plant-based meats, and fat distribution in food emulsion gels. His publication record includes 170 journal articles and 12 book chapters, with research trends showing increasing focus on sustainable food technologies, plant-based alternatives, and advanced food structure characterization. Recent work demonstrates expertise in interfacial rheology, 3D food printing, molecular dynamics of plant proteins, and AI applications in food science. OECD Fellow for the Co-operative Research Programme: Sustainable Agricultural and Food Systems (2024) Australian Endeavour Fellowship (2016) Editor of Food Chemistry X (Elsevier) Associate Editor of Measurement: Food (Elsevier) Editorial Board Member of Food Chemistry (Elsevier) Dr. Wang has secured over 1 million AUD in research funding since 2011, currently leading multiple projects including 'Advancing Plant Milk Technologies through Interfacial Rheology' (Sanitarium & Future Food Systems CRC, $232,000), 'Australian hazelnuts processing and quality enhancement' (AgriFutures Australia, $160,000), and 'Engineering network-forming behaviours of plant proteins' (Australian Research Council, $699,300). His research supervision focuses on food structure design, rheology, plant-based foods, and encapsulation technologies, with available honours projects spanning food 3D printing, vegetable chip development, and AI applications in flavor identification. He coordinates and teaches Advanced Food Engineering (FOOD4450/8450) and several other food science courses at UNSW.

Chun Tung Chouمشاهده پروفایل

دانشیار

• Molecular Communications
• Pervasive Computing
• Network Engineering
• +۴ مورد دیگر

Associate Professor Chun Tung Chou is affiliated with the School of Computer Science and Engineering at the University of New South Wales (UNSW) . His research bridges molecular communications , signal processing , and systems biology . He holds a BA in Engineering Science from the University of Oxford and a PhD in Systems and Control Engineering from the University of Cambridge . Research Trends: Recent work focuses on molecular circuits for Bayesian information processing, 5G resource allocation , mmWave localization , and energy-harvesting sensor networks . Scientific Engagement: He serves on the editorial boards of IEEE Transactions on Molecular, Biological, and Multi-Scale Communications , Nano Communication Networks , and Frontiers in Communications and Networks . Supervision: He mentors students in interdisciplinary projects linking signal processing to biomolecular computation , requiring mathematical rigor and knowledge of molecular biology.

• Geometallurgy
• Mineral Processing
• Geochemistry
• +۳ مورد دیگر

Dr. Julie Hunt is a geologist and geometallurgist at the Centre for Ore Deposit and Earth Sciences (CODES) within the School of Natural Sciences at the University of Tasmania. As of February 1, 2025, she transitioned to adjunct status while maintaining active research collaborations. Her work bridges geology and mineral processing with a focus on geometallurgy, critical metals, and sustainable resource extraction. Her research interests center on geometallurgy, mineral processing/beneficiation, geochemistry, and critical metals. Dr. Hunt specializes in understanding the geological controls on mineral processing behavior, with particular expertise in IOCG (Iron Oxide Copper Gold) deposits, tungsten systems, and Tasmanian mineral resources. Her work integrates geological, mineralogical, and geochemical data to optimize resource extraction while minimizing environmental impacts. Dr. Hunt's recent publications reveal a strong focus on critical metals in Tasmanian deposits, geometallurgical characterization of various ore systems, and environmentally sustainable production methods. Her work demonstrates how geological understanding can directly inform processing decisions, particularly for complex deposits where traditional approaches may be inefficient. She has secured significant funding for research projects related to geometallurgy and critical metals, demonstrating the practical applications of her work for the mining industry. Dr. Hunt actively supervises doctoral and masters students, with completed supervision including Karla Alejandra Morales Leiva, Nathaly Estefania Guerrero Ramirez, Cassady Lee Harraden, Paula Andrea Montoya Lopera, Angela Jane Escolme, Stacey Leichliter, and Natalee Kate Bonnici. Her current doctoral supervision includes projects on Nautanen IOCG deposit characterisation, Critical Metal Potential in Savage River Magnetite Deposit, and Pathways to Production for Critical Metals at the Kara W deposit.

Michael Berminghamمشاهده پروفایل

دانشیار

• Materials Engineering
• Advanced Manufacturing
• Metallurgy
• +۳ مورد دیگر

Associate Professor Michael Bermingham is an ARC Future Fellow at the School of Mechanical and Mining Engineering , University of Queensland , with affiliations to the Centre for Advanced Materials Processing and Manufacturing (AMPAM) . His research focuses on advanced manufacturing of metal materials , particularly additive manufacturing and subtractive machining technologies , aiming to optimize alloy design and process interactions for improved material performance. Education: Bachelor of Engineering (The University of Queensland) PhD (The University of Queensland, 2010) with Dean's Award for Outstanding Higher Degree Theses His research spans solidification processing (casting, welding, soldering, additive manufacturing), titanium alloy development for aerospace and biomedical applications, and microstructure optimization through techniques like trace element additions and hot isostatic pressing . Recent work explores 3D printing quality improvement via alloy design and machine learning applications for porosity analysis in metal manufacturing. Michael's 15 most recent publications (2023-2025) highlight advancements in titanium additive manufacturing , fatigue crack correction methods , ω phase embrittlement mitigation through Sn additions, and cryogenic coolant applications in machining. These works demonstrate his expertise in materials characterization , defect control , and process optimization . Scientific Awards: Dean's Award for Outstanding Higher Degree Theses (2010) ATN Go8 EIA National Report Rating 'A: Outstanding impacts' (2012) Australian Award for University Teaching (AAUT) Citation (2020) Michael has secured $9.2 million in ARC funding (including a Future Fellowship, Discovery Early Career Award, Discovery Projects, Linkage Project, and Research Hub) and $0.5 million in industry/internal funding . He supervises multiple PhD and Master's students in projects related to titanium alloy optimization , additive manufacturing defects , and biodegradable metal scaffolds .

• self-adaptive autonomous systems
• safe use of AI-enabled systems
• requirements engineering
• +۶ مورد دیگر

Betty H.C. Cheng is a Professor in the Department of Computer Science and Engineering at Michigan State University's College of Engineering. She also served as the Industrial Relations Manager and senior researcher for BEACON, an NSF Science and Technology Center focused on evolutionary computation. Bachelor of Science (Computer Science) - Northwestern University MS and PhD (Computer Science) - University of Illinois-Urbana Champaign Research Focus: Her work centers on high-assurance self-adaptive systems that maintain acceptable behavior under uncertainty, with applications in intelligent transportation and vehicle systems. Key areas include: Model-driven approaches to autonomous systems Trustworthy AI in safety-critical environments Evolutionary computation for software engineering Cybersecurity in automotive systems Collaborations: Partners include Ford, General Motors, ZF, Motorola, and Siemens. Her research spans assured autonomy, digital twins, and feature interaction mitigation. Funded by NSF, AFRL, ONR, DARPA, NASA, and ARO Editorial roles at ACM Transactions on Autonomous and Adaptive Systems, Software and Systems Modeling, and IEEE Transactions on Software Engineering Contact: 3115 Engineering Building, Michigan State University, East Lansing, MI 48824