جستجوی استاد راهنمای دانشگاهی

Albert Van Dijkمشاهده پروفایل

استاد

• Water Science
• Environmental Science
• Hydrology
• +۳ مورد دیگر

Albert Van Dijk is a Professor at the Fenner School of Environment & Society, Australian National University (ANU), where he established and leads the Centre for Water and Landscape Dynamics. He holds an MSc and PhD in Environmental Sciences from VU University Amsterdam. His career includes significant contributions at CSIRO Land and Water (2003-2012), where he received awards for leadership in the Murray-Darling Sustainable Yields project and development of the Australian Water Resources Assessment system. His research focuses on interactions between vegetation and the hydrological cycle, addressing soil erosion, nutrient cycling, surface energy balance, carbon cycling, fire risk, and biodiversity. He integrates satellite remote sensing, IT, statistics, and modeling to study natural hazards, water resources, and agricultural production. Professor Van Dijk chairs the Hydrology and Quantitative Water Management Group at Wageningen University and the Australian Energy and Water Exchange Initiative (OzEWEX). He has authored over 200 publications and leads projects like the TERN Australia's Environment Report Production and Spatial Distributions of Tree Canopies in Arid Ecosystems. His work emphasizes practical applications in environmental monitoring and forecasting.

Sylvie Thiebauxمشاهده پروفایل

استاد

• Artificial Intelligence
• Energy Systems
• Optimization
• +۵ مورد دیگر

Sylvie Thiebaux is a Professor at the School of Computing, Australian National University (ANU). Her research focuses on artificial intelligence, particularly in planning algorithms, heuristic search, and their applications to energy systems and optimization. She holds a Dipl.Eng. from INSA Rennes, an MSc from Florida Tech, and a PhD from Université de Rennes/CNRS. Her work integrates machine learning with classical AI techniques to address challenges in smart grids, renewable energy integration, and multi-objective decision-making. Key projects include optimizing distribution networks with high PV penetration, developing robust control strategies for volt/Var systems, and advancing neuro-symbolic AI for planning under uncertainty. She has contributed to over 90 publications and actively supervises research students in computational planning and energy systems. Her research also explores ethical considerations in AI, including normative compliance in planning systems. Collaborative initiatives with industry and academia have led to advancements in energy market frameworks and distributed resource coordination.

• Structural Engineering
• Masonry Structures
• FRP Strengthening
• +۳ مورد دیگر

Professor Mark Masia is a faculty member in the School of Engineering at the University of Newcastle, specializing in structural engineering and masonry systems. He holds a PhD from the University of Newcastle, with research focused on masonry structural behavior, FRP strengthening, and seismic retrofitting. His career spans over two decades, including roles as Lecturer, Senior Lecturer, and Professor at the University of Newcastle. Research interests include experimental and numerical modeling of unreinforced masonry (URM) structures, FRP-strengthened masonry, and the development of design methods for URM. Teaching expertise covers statics, structural mechanics, and design of masonry, concrete, and timber structures. Administrative roles include Program Convenor for Civil Engineering and leadership in academic committees. Key Contributions: Development of semi-interlocking masonry systems for improved seismic performance. Investigations into corrosion effects on masonry wall ties and durability enhancement. Advancements in probabilistic modeling and reliability assessment of masonry structures. Publications span over 100 peer-reviewed articles, focusing on masonry mechanics, material characterization, and structural safety. His work bridges experimental testing, numerical analysis, and practical engineering applications.

• Law and Technology
• Financial Services Law
• Commercial Law
• +۳ مورد دیگر

Dr Zofia Bednarz is a Lecturer at the Sydney Law School, University of Sydney, specializing in Commercial and Corporate Law with a focus on technology's impact on financial services and consumer protection. She joined the University in 2022 after roles at UNSW and the University of Málaga, where she taught commercial law in English and Spanish. Her research explores AI in finance, blockchain governance, and consumer data rights. She is an Associate Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S). Education: LLM from Warsaw University, MA/PhD from the University of Málaga. Research Interests : Law and Technology, Financial Services Law, Consumer Law, AI Governance, Blockchain Applications in Corporate Law. Recent Work : Her 2023 book Money, Power and AI examines AI-driven financial systems. Articles address behavioral insurance, non-personal data impacts, and blockchain in shareholder voting. She contributed to submissions on AI regulation and Privacy Act reforms. Grants : Part of the ARC-funded ADM+S Centre (2020). Labs/Teams : Active in the ARC Centre of Excellence for Automated Decision-Making and Society.

• Climate Law
• Water Law
• Environmental Law
• +۳ مورد دیگر

Associate Professor Katherine Owens is an expert in climate, environmental, and water law at the University of Sydney Law School, where she serves as Director of the Australian Centre for Climate and Environmental Law and Co-theme Lead of the Transformative Governance research theme at the Sydney Environment Institute. Her research focuses on how legal frameworks foster inclusion, innovation, and cooperation for decarbonization, climate adaptation, and equitable water reallocation, integrating theories of experimentalism, deliberative democracy, and regulatory governance. Education: PhD (University of Sydney, 2015); LLM Energy and Environmental Law (Katholieke Universiteit Leuven, summa cum laude); LLB (Hons) and BA (University of Canterbury, New Zealand). Research Focus: Professor Owens explores the intersection of law and environmental sustainability, emphasizing climate governance, water justice, and regulatory innovation. Her work examines the role of legal institutions in managing systemic risks and advancing equitable resource distribution across international, transnational, and national contexts. Publication Trends: Recent articles analyze climate adaptation finance, technology transfer mechanisms, decarbonization policy, and water governance, reflecting a consistent focus on Pacific Island vulnerabilities and innovative regulatory solutions. Her scholarship demonstrates increasing emphasis on climate litigation's role in public health protection and the democratization of environmental decision-making. Awards and Honors: University of Sydney Research Accelerator Prize (2023-24) Professional Engagement: Professor Owens has practiced environmental law in Australia and New Zealand, contributing to policy development through submissions to governmental reviews. She supervises graduate students and leads interdisciplinary teams examining climate finance, water security, and governance innovation. Her research has been supported by multiple grants, including an Australia-Thailand Institute project enhancing early reading skills. Affiliations: She directs the Australian Centre for Climate and Environmental Law, coordinating research on transformative governance frameworks. Her lab collaborates with international partners to develop evidence-based solutions for sustainable resource management.

• Work and Employment Relations
• Human Resource Management
• Labour Geography
• +۵ مورد دیگر

Susan McGrath-Champ is a Professor of Work and Employment Relations at the University of Sydney Business School . With expertise spanning workplace relations, human resource management, and labor geography, she has pioneered interdisciplinary research at the intersection of employment relations and economic geography. Recipient of Australian Academy of Social Sciences and Chinese Academy of Social Sciences exchange Key researcher in global production networks , teacher workloads , and crisis management in HRM Current research focuses on post-pandemic teacher labor organization , fixed-term contract implications , and equity implications of school autonomy

• Database Management
• Transaction Management
• Replication
• +۴ مورد دیگر

Alan Fekete is a Professor of Enterprise Software Systems in the School of Computer Science at the University of Sydney. He holds a BSc (Hons) from the University of Sydney and a PhD from Harvard University's mathematics department. With over 30 years at the University of Sydney, he has made significant contributions to database systems, distributed computing, and computing education. His research focuses on improving software systems' state-of-practice, particularly in transaction management, replication, and cloud computing. Education background: BSc(Hons) from the University of Sydney, PhD in Mathematics from Harvard University. Research interests include database management (transaction systems, replication), cloud computing, distributed systems, software engineering, and computing education. His teaching spans enterprise software architecture, data models, and systems analysis. He has supervised 13 doctoral students and contributed to curriculum development, notably in Java programming and cloud workforce training. Recent publications explore transactional frameworks, database benchmarking, and concurrency control. He is a Distinguished Scientist of ACM and a member of IEEE and Australian Computer Society. His work on robust rolling-upgrades and cloud storage benchmarking addresses modern system challenges. Fekete's teaching innovations include data-centric curricula and frameworks for self-assessment in programming education.

• Artificial Intelligence
• Economics
• Psychology
• +۵ مورد دیگر

Dr. Michael Harre is a Senior Lecturer at the University of Sydney with appointments in the Modelling and Simulation Group and Centre for AI Trust and Governance . His work bridges artificial intelligence , economics , and psychology to model collective human behavior and develop socially aware AI systems. PhD in economic game theory (University of Sydney, 2009) MSc (First Class Honours, University of Auckland) Research focuses on socially adaptive AI , economic game theory , and criticality in complex systems . Key projects include modeling financial market crashes, simulating herding behavior in housing markets, and exploring the intersection of AI with social psychology and economics. Recent publications address topological analysis of economic games , criticality detection in time-series data , and inverse reinforcement learning for Theory of Mind in AI. Grants include ARC Discovery Projects and US Air Force AOARD funding for interdisciplinary research. Supervises PhD students: Cathie DRYSDALE and Patrick SWEENEY Develops curricula for complex systems education Media engagements cover AI ethics , housing market risks , and social network dynamics in mental health.

Basem Suleimanمشاهده پروفایل

مدرس ارشد

• AI-driven Software Services
• Applied Artificial Intelligence (GenAI/LLM, Machine Learning)
• Education Technologies (Personalized Learning)
• +۴ مورد دیگر

Dr. Basem Suleiman is an Adjunct Senior Lecturer in Advanced Computing at the University of Sydney and Deputy Director of the Software Engineering Program at UNSW Sydney. He holds a Ph.D. in Computer Science from UNSW (2012) and has over a decade of experience in academia and industry, including roles at SAP, CSIRO’s Data61, and leading universities. Education: Ph.D. in Computer Science, UNSW Sydney (2012) Graduate Certificate in Research Commercialization & Management, UNSW Sydney Master of Computing (Software Engineering), Western Sydney University Research Interests: AI-driven Software Services: Federated Learning, Recommender Systems, Human-Machine Interaction Applied AI: GenAI/LLMs, Machine Learning, Deep Learning for FinTech, Healthcare, and Education Cloud Computing: Elasticity, Workload Management, Privacy-Preserving Techniques Key Contributions: Developed AI models for structural health monitoring, personalized learning systems, and anomaly detection Secured research grants and published 80+ papers in venues like ACM Transactions, IEEE Conferences, and IJCAI Supervised 15+ PhD/MPhil students and led industry partnerships with SAP, CSIRO, and global tech firms Awards & Recognition: Runner-up Best Paper Award (2023) Dean’s Commendation for Teaching Excellence Invited Keynote Speaker (2022 ICoSEIT) Engagement: Leads industry collaborations as UNSW’s Industry Capstone Liaison Officer, fostering partnerships for student projects and curriculum innovation.

• Compassionate Digital Innovation
• Human-AI Companionship
• Web3 Governance
• +۴ مورد دیگر

Dr. Raffaele Ciriello is a Senior Lecturer at the University of Sydney, affiliated with the Charles Perkins Centre. His research focuses on compassionate digital innovation, human-AI companionship, Web3 governance, and ethical technology use. He holds a PhD and M.Sc. from the University of Zurich and a B.Sc. from the University of Stuttgart, with prior roles as an Assistant Professor at the IT University of Copenhagen. His work bridges interdisciplinary inquiry into sociotechnical systems, emphasizing responsible design and governance of emerging technologies like AI companions and blockchain. He has advised over 6 PhD, 23 Master’s, and 16 Bachelor’s students globally. Awards include Distinguished Member of the Association for Information Systems (2021) and multiple Outstanding Associate Editor accolades for ECIS and ICIS conferences. Current projects include exploring AI companion user perceptions, designing mobile solutions for displaced youth (EduCare), and investigating Web3 governance. He collaborates with firms, startups, and NGOs, and serves as an Associate Editor for leading IS conferences. His teaching spans digital work environments and information systems management.

• Supply Chain Management
• Healthcare Improvement
• Healthcare Logistics
• +۳ مورد دیگر

Dr. Ali Hajiaghabozorgi is a Research Fellow in Supply Chain Management at the Institute of Transport and Logistics Studies (ITLS) within the University of Sydney's Business School. He joined in April 2019 to work on an IMCRC-funded project focusing on vaccine supply chain optimization in Australia. Previously, he held postdoctoral positions at Clemson University (2014-2015) and Sharif University of Technology (2016-2018), researching healthcare logistics and supply chain design. His academic background includes a PhD in Industrial Engineering from the University of Central Florida (2014), an MSc, and a BSc. His research interests span Supply Chain Management , Healthcare Improvement , and the intersection of Supply Chain in Healthcare . Key projects include vaccine supply chain design, blood bank inventory optimization, and airline network congestion management. He has also consulted for organizations like Universal Studios Orlando and automotive supply companies. Dr. Hajiaghabozorgi’s work addresses sustainability challenges in supply chains, such as carbon emissions and cold chain logistics. His publications explore network design, inventory modeling, and operational efficiency in healthcare and energy sectors. He contributes to teaching ITLS5000 Foundations of Supply Chain Management and MMGT6012 Business Tools for Management . His research aligns with the Sydney Institute of Agriculture, emphasizing practical solutions for complex logistics problems. Current projects focus on enhancing supply chain resilience in healthcare and optimizing resource allocation under uncertainty.

• Transportation Management
• Supply Chain Logistics
• Sustainability and Decarbonization
• +۳ مورد دیگر

Professor Rico Merkert holds the Chair in Transport and Supply Chain Management at The University of Sydney and serves as Deputy Director of the Institute of Transport and Logistics Studies (ITLS). He has a PhD in Transport Economics and has held academic positions at institutions such as Cranfield University and UC Berkeley. He is also a Visiting Professor at the University of Johannesburg. Education: PhD Leeds, MSc TU Berlin/NHH Bergen. Research interests focus on transport and supply chain management, sustainability, airline strategy, performance measurement, and policy analysis. His work addresses decarbonization, freight logistics, and the strategic implications of technological innovation in transport systems. Recent publications explore decarbonization policies, post-pandemic transport trends, and airline sustainability. He serves as Editor-in-Chief of the Journal of Air Transport Management and contributes to U.S. Transportation Research Board committees. Current advisees include students researching topics such as sustainable freight forwarding and electric vehicle battery supply chains. His work emphasizes cross-disciplinary collaboration and policy-relevant outcomes. Affiliated with The Net Zero Institute, his research aligns with global sustainability goals and industry transformation.

• Mental Health
• Epidemiology
• Burden of Disease Studies
• +۴ مورد دیگر

Dr. Alize Ferrari is an Honorary Associate Professor at the School of Public Health, University of Queensland, and an Affiliate Professor of Global Health at the Institute for Health Metrics and Evaluation (IHME), University of Washington. She leads the Epidemiology and Burden of Disease Research Stream at the Queensland Centre for Mental Health Research and serves as Team Lead for the Mental Disorders Research Team within the Global Burden of Disease (GBD) Study. As Principal Investigator on the Queensland Urban Indigenous Mental Health Survey, she conducts population-based research on mental health among Aboriginal and Torres Strait Islanders in Southeast Queensland. Dr. Ferrari's research centers on mental health epidemiology with a focus on: Quantifying the global burden of mental disorders across diverse populations Developing methodological frameworks for epidemiological data collection and analysis Assessing the distribution and consequences of mental disorders Examining mental health in Indigenous Australian communities Investigating service coverage for major depressive disorder globally Her extensive publication record demonstrates leadership in global mental health research, particularly through her contributions to the Global Burden of Disease Study. Her work spans epidemiological methodology, mental disorder classification, and mental health service assessment across multiple countries and populations. Recent research shows increasing focus on Indigenous mental health and the intersection between physical and mental health conditions. Dr. Ferrari collaborates extensively across international research networks, contributing to major publications in leading medical journals including The Lancet, JAMA, and Nature Medicine. Her role as Team Lead for the Mental Disorders Research Team within the GBD Study positions her at the forefront of global mental health measurement and assessment.

Priyanka Singhمشاهده پروفایل

مدرس

• Cyber Security
• Digital Forensics
• Privacy and Security Aspects
• +۵ مورد دیگر

Dr. Priyanka Singh is a Lecturer in Cyber Security at the School of Electrical Engineering and Computer Science, University of Queensland. She holds a PhD in Image Forensics and has conducted postdoctoral research at SUNY Albany and Dartmouth College, collaborating with Prof. Hany Farid. Her research focuses on Cyber Security, Digital Forensics, Privacy, Homomorphic Encryption, and Cloud Computing applications. Key contributions include real-time child pornography detection and privacy-preserving frameworks for digital authentication. Education: PhD in Image Forensics (university unspecified), postdoctoral work at SUNY Albany and Dartmouth College. Notable collaborations include a talk invitation at MIT by Prof. Ramesh Raskar. Research Interests: Cyber Security mechanisms, Digital Forensics techniques, Privacy-Preserving algorithms, Homomorphic Encryption protocols, and Cloud Security solutions. Recent Articles: Focus on AI ethics (e.g., FakeFaceDiscriminator), privacy-preserving biometrics (e.g., IRIS-SAFE), and secure anomaly detection (e.g., SADHE). Her work spans 42 conference papers and 22 journal articles, addressing challenges like encrypted video tampering detection and federated learning resilience. She advocates for technology's societal impact through explainable AI and ethical AI use cases.

Gayan Chaminda Lankeshwaraمشاهده پروفایل

پژوهشگر ارشد

• Grid Integration of Distributed Energy Resources
• Active Distribution Network Management
• Machine Learning Applications in Power Systems
• +۳ مورد دیگر

Gayan Chaminda Lankeshwara is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland (Australia). He holds a B.Sc.Eng. (Hons.) and M.Sc.Eng. in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka (2016 and 2021), and a Ph.D. in Electrical Engineering from The University of Queensland (2023). His research focuses on grid integration of distributed energy resources, active distribution network management, and machine learning applications in power systems. His work emphasizes dynamic operating envelopes frameworks, demand response mechanisms, and low-voltage distribution networks optimization. Key contributions include developing control schemes for thermostatically controllable loads, peer-to-peer energy trading models, and hierarchical control strategies for residential loads under uncertainties. His research bridges theoretical advancements with practical applications in smart grid technologies. Lankeshwara has contributed to over 11 publications, including 8 journal articles and 3 conference papers, focusing on renewable energy integration, demand response algorithms, and network-aware control systems. His doctoral thesis (2023) explored 'Network-aware demand response in the presence of uncertainties.' He collaborates with the Power, Energy and Control Engineering research group at UQ, contributing to projects that enhance grid resilience and efficiency through advanced control methodologies and data-driven approaches.