جستجوی استاد راهنمای دانشگاهی

Professor Brett Hayes is a distinguished cognitive psychologist at the University of New South Wales, serving in the School of Psychology. He is the founding Director of the Sydney Thinking and Reasoning (STAR) Laboratory, which he has led for over 15 years, securing more than $4 million in competitive research funding. Professor Hayes has previously held the position of Head of the School of Psychology and served as a member of the Australian Research Council (ARC) College of Experts. His research expertise spans reasoning, concept learning, memory, and developmental changes in these cognitive processes. Professor Hayes employs both experimental investigation and computational modeling in his work, with a particular focus on applying fundamental cognitive research to practical problems in forensic and clinical decision-making, early childhood education, and climate change science communication. His research has significant interdisciplinary applications across psychology, education, and environmental science. Professor Hayes has published extensively in top cognitive science journals, with his most recent work focusing on inductive reasoning, sampling assumptions, learning traps, and consensus perception. His research demonstrates consistent innovation in understanding how people process information, make decisions under uncertainty, and develop reasoning abilities across the lifespan. His scientific contributions include numerous journal articles, book chapters, and co-authored textbooks on developmental psychology. Professor Hayes has also contributed to teaching through courses such as PSYC3341 Developmental Psychology (which he chairs), PSYC3221 Cognitive Science, and PSYC2061 Developmental and Social Psychology. Professor Hayes maintains an active research program with ongoing collaborations across multiple institutions, as evidenced by his numerous co-authored publications. His laboratory continues to advance our understanding of human cognition through rigorous experimental work and theoretical development.

• Reasoning
• Concept Learning
• Memory
• +۸ مورد دیگر

Professor Kewen Wang is a faculty member in the School of Information and Communication Technology at Griffith University , where he has been actively working in computational logic, knowledge representation, and their applications in artificial intelligence for over 30 years. His research has led to the development of novel logics, computer languages, and systems for knowledge representation and reasoning. Broad research areas: Computational Logic, Knowledge Representation, Artificial Intelligence, Programming, Knowledge Graphs, Explainable AI, Ontology Reasoning, Rule Learning Key contributions: RLvLR (scalable rule learner for KGs), TyRuLe (typed rule learning), Drewer (Datalog+- query engine), ALBERT+CCR (CommonsenseQA model), auction design algorithms His research has been widely cited in top venues like Artificial Intelligence , JAIR , ACM Transactions on Computational Logic , and conferences AAAI (Area Chair 2022-2025), IJCAI , KR . He has secured six ARC Grants (five Discovery, one Linkage) and smaller grants from NICTA, CSIRO, and Griffith University. Editorial roles: Area Chair for AAAI (2022-2025), Associate Editor for Journal of Web Semantics , TGDK Supervision: Has supervised over 15 PhD students including Hong Wu, Peng Xiao, and Pouya Omran Teaching: Courses in Intelligent Systems, Data Structures, Discrete Mathematics, and Robotics

• Computational Logic
• Knowledge Representation
• Artificial Intelligence
• +۵ مورد دیگر

Prof John Lloyd is a Professor at the School of Computing, Australian National University. His research focuses on computational logic, agent systems, declarative programming languages, and machine learning. He holds qualifications including a BSc(Hons), MSc from Newcastle University, a PhD from ANU, and a DipComp from Melbourne. His research interests span foundational theories in logic programming, probabilistic reasoning, and agent architectures. He has contributed to projects like Feature Reinforcement Learning and Foundations and Architectures for Agent Systems. His work emphasizes integrating logic and probability for robust AI systems. Prof Lloyd has advised student Kee Siong Ng and led over nine research projects. His publications explore topics like probabilistic logic frameworks, declarative agent languages, and higher-order logic systems. He actively participates in international conferences, contributing to proceedings and workshops. His academic leadership includes convening the Bachelor of Computer Science (Honours) program. His research bridges theoretical foundations with practical AI applications, emphasizing declarative approaches for complex systems.

• Computational logic
• Agents
• Declarative programming languages
• +۳ مورد دیگر

Professor Ryan Lister is a leading epigenetics and genomics researcher at the University of Western Australia (UWA) and head of the Epigenetics and Genomics laboratory at the Harry Perkins Institute of Medical Research. Elected as a Fellow of the Australian Academy of Science in 2020 and a joint Scientist of the Year in the Premier’s Science Awards, his work focuses on understanding the epigenome's role in gene regulation, cellular reprogramming, and disease. He holds the Sylvia and Charles Viertel Senior Medical Research Fellowship and has pioneered techniques like whole-genome bisulfite sequencing. BSc in Biochemistry and Genetics (UWA, 2000) PhD in Plant Mitochondrial Biogenesis (UWA, 2005) Postdoctoral Fellow (Salk Institute, 2006-2012) His research explores the epigenome's role in mammalian brain development, stem cell reprogramming, and plant biology. Techniques he developed, such as RNA-seq and ATAC-seq, enable high-resolution methylome mapping. Key findings include the first human DNA methylomes and epigenetic memory in iPSCs. Recent publications focus on synthetic gene circuits in plants, CRISPRi-based DNA methylation manipulation, and comparative methylome studies. His work spans both plant and human epigenetics, with implications for agriculture and medicine. Fellow of the Australian Academy of Science (2020) Joint Scientist of the Year (2020 Premier’s Science Awards) Sylvia and Charles Viertel Senior Medical Research Fellowship His lab collaborates on epigenome editing technologies and developmental biology. Current projects investigate DNA methylation readers, brain epigenomic diversity, and programmable gene expression systems.

• Epigenetics
• Genomics
• DNA Methylation
• +۵ مورد دیگر

Dr. Michael Bain is a Senior Lecturer at the School of Computer Science and Engineering, University of New South Wales (UNSW). His research focuses on integrating machine learning with declarative programming to create explainable AI systems, particularly for complex domains like bioinformatics, social networks, and medical informatics. He has taught courses including Machine Learning and Data Mining and Computational Bioinformatics . Key Research Areas: Explainable AI through logic programming Bioinformatics applications in systems biology Medical claim fraud detection using graphical models Swarm robotics and epigenetic learning Recent Publications highlight his work on fairness-aware AI, knowledge acquisition for event extraction, and hybrid models combining temporal features with collaborative filtering. He actively mentors students, with 8 current advisees and over 30 graduates, and has contributed to projects in online dating recommendation systems and dynamic systems control. Education: PhD in Statistics and Modelling Science from University of Strathclyde; BSc (Hons) from University of Edinburgh. He is affiliated with the Smart Services Cooperative Research Centre for industry grants.

• Artificial Intelligence
• Machine Learning
• Inductive Logic Programming
• +۷ مورد دیگر

Roles and Affiliations : Patrik Haslum is a part-time Researcher in the AI group at the Research School of Computer Science (ANU College of Engineering and Computer Science), Australian National University. He is seconded to Data61's Decision Sciences program. Previously, he was at NICTA and Linköpings Universitet. Education : PhD in Computer Science from Linköpings Universitet (Sweden), with research on admissible heuristics for automated planning. Research Interests : Focuses on AI planning, particularly plan quality optimization and heuristic search. Specializes in optimal planning, domain analysis, and applying planning techniques to problems like genome edit distance, diagnosis, and robotics. His work bridges automated planning with Petri nets and discrete event systems. Advising & Students : Supervised four PhD students including Jing Cui (2018), Franc Ivankovic (2018), Fazlul Hasan Siddqui (2015), and Debdeep Banerjee (2015). Offers student projects in areas like story planning, optimal troubleshooting, and policy validation for MDPs. Labs & Contributions : Leads research in the AI group at ANU, contributing to tools like the INVAL plan validator and PDDL domain encodings. Active in international planning competitions and workshops.

• AI Planning
• Plan Quality Optimization
• Optimization for Decision Support
• +۵ مورد دیگر

Dr. Rachel Stephens is a Senior Lecturer in the School of Psychology at The University of Adelaide, within the Faculty of Health and Medical Sciences. She serves as Director of the Reasoning and Decisions Lab and focuses on cognitive processes underlying human reasoning and decision-making. Her research explores dual-process theories, online information environments, and developing interventions to enhance reasoning skills. Key research areas include testing dual-process theories against single-process alternatives, analyzing social media's impact on belief formation, and mitigating misinformation through digital tools like fact-checking systems. She has secured significant funding from organizations such as the Defence Innovation Partnership and Advanced Strategic Capabilities Accelerator for projects like MAGPIE (Monitoring And Guarding the Public Information Environment). Dr. Stephens actively supervises Masters and PhD students in topics such as reasoning consensus, decision-making under time pressure, and reasoning aids design. She holds leadership roles in professional societies, including presidency of the Australian Society for Mathematical Psychology. Awards include the Barbara Kidman Women's Fellowship (2023) and Emerging Leaders Development Award (2022). Her teaching portfolio includes coordinating foundational psychology courses and developing programs on individual psychology.

• Human reasoning and decision making
• Cognitive processes
• Online information environments
• +۵ مورد دیگر

Peter Merrotsy is a Professor in the Graduate School of Education at The University of Western Australia (UWA) and holds the title of Senior Honorary Research Fellow. He previously served as a Mathematics teacher and head teacher in rural New South Wales before joining the University of New England. His research focuses on gifted education, particularly gifted Aboriginal children, creativity, and problem-solving. He leads the GIFT Program (Gifted Indigenous: Focus on Talent), funded by BHP Billiton Group, which addresses educational needs of Indigenous gifted students. Merrotsy's education background includes extensive teaching experience and academic roles. His research interests span creativity in mathematics, sociocultural aspects of education, and strategies for academically accelerating gifted learners. He has published widely on topics including Ramanujan's mathematical legacy, giftedness models (e.g., Gagne's differentiated framework), and the application of Dąbrowski's Theory of Positive Disintegration. Key contributions include exploring cultural and social capital in talent development, underachievement in gifted students, and pedagogical innovations for creative problem-solving. He has supervised two research projects and authored/co-authored over 40 publications since 2003. His work emphasizes interdisciplinary approaches, blending education theory with historical analysis and psychological frameworks. Notable grants include the 2013–2019 GIFT Program, which focuses on supporting Indigenous gifted students through culturally responsive strategies. His research often bridges historical case studies (e.g., Ramanujan) with contemporary educational challenges, advocating for inclusive policies and empathetic pedagogy.

• Creativity
• Sociology of Education
• Mathematics Education
• +۴ مورد دیگر

Professor Claude Sammut is affiliated with the School of Computer Science and Engineering at the University of New South Wales. He is a leading figure in artificial intelligence, machine learning, and robotics, with foundational contributions to Inductive Logic Programming (ILP) and Behavioral Cloning. Professor at University of New South Wales School of Computer Science and Engineering Editorial board member of key journals (Journal of Machine Learning Research, Machine Learning Journal, New Generation Computing) Leadership roles in RoboCup Federation and ICML conferences His research focuses on Machine Learning applications in Robotics , including work with the UNSW teams that won multiple RoboCup competitions. His career spans pioneering theoretical work in relational learning and practical applications in autonomous systems. He has contributed to editorial leadership as co-editor-in-chief of Springer's Encyclopedia of Machine Learning and Data Mining, and organized major conferences like ICML 2002 and ICML 2007. His work bridges theoretical AI research with real-world robotic implementations.

• Artificial Intelligence
• Machine Learning
• Inductive Logic Programming
• +۵ مورد دیگر

Professor Ruth Ganss is Head of the Cancer Microenvironment Lab at the Harry Perkins Institute of Medical Research and holds a professorial appointment at the University of Western Australia. She obtained her PhD at the University of Heidelberg/Germany in 1994 and conducted postdoctoral research with Prof. Douglas Hanahan at the University of California, San Francisco before establishing her laboratory at the German Cancer Research Center in Heidelberg (1997-2006). Professor Ganss's research focuses on the integration of cancer, immunology and vascular biology, with over 20 years of expertise in studying the tumor microenvironment using transgenic and orthotopic tumor models. Her current work centers on translational anti-cancer aspects of stromal remodeling and immunotherapy, particularly investigating vascular normalization, pericyte biology, and the development of strategies to overcome immune suppression in tumors. Her groundbreaking research has demonstrated how modulating the tumor vasculature can enhance immune cell infiltration and improve immunotherapy outcomes. Her publication record reveals a strong focus on tumor vascular biology, with recent work emphasizing pericyte phenotype switching, induction of tertiary lymphoid structures, and the role of TRAIL signaling in vascular stability. These research themes represent a logical progression from her seminal 2008 Nature paper on Rgs5-deficient tumors, which established the critical link between vascular normalization and improved immune destruction of tumors. Scientific Recognition Inaugural Woodside Cancer Research Fellow Professor Ganss leads an active research program that continues to advance our understanding of the tumor microenvironment and develop novel approaches to enhance cancer immunotherapy through vascular and stromal remodeling. Her work bridges basic science and translational applications, with particular emphasis on making tumors more responsive to immune-based treatments.

• Cancer Microenvironment
• Tumor Immunology
• Vascular Biology
• +۳ مورد دیگر

Dr. Juan Shi is an Associate Professor at Victoria University's College of Sport, Health & Engineering, where she has held academic positions since 1994, progressing from Lecturer to Senior Lecturer and ultimately Associate Professor in 2016. With a PhD in Electrical Engineering from VU (1995) and over 100 peer-reviewed publications, her research focuses on intelligent control systems, renewable energy integration, and power system stabilization. Research Interests: Dr. Shi's expertise spans intelligent control applications, power system stability enhancement, battery energy storage optimization for grid support, fuzzy logic controllers, and renewable energy microgrid design. Her recent work emphasizes practical solutions for integrating solar/wind energy with battery storage systems. Teaching & Awards: She coordinates multiple engineering courses including Control Systems and Fuzzy Logic applications. Her teaching excellence has been recognized with the Vice-Chancellor's Award (2014) and a national teaching citation from the Australian Government (2015). Awards: Vice-Chancellor's Excellence in Learning and Teaching Award (2014) National Citation for Outstanding Contribution to Student Learning (2015) Student Supervision: Has graduated 2 PhD and 2 Master's students, currently advising 4 PhD candidates on renewable energy and control systems projects. As WISE coordinator, she actively supports female engineering students through mentorship programs.

• Intelligent Control
• Power System Stabilisation
• Renewable Energy Systems
• +۲ مورد دیگر