جستجوی استاد راهنمای دانشگاهی

Dr. Chang Xu is an Associate Professor in Machine Learning and Computer Vision at the University of Sydney's School of Computer Science. He holds a Bachelor of Engineering from Tianjin University and a PhD from Peking University. His research focuses on machine learning, data mining, and their applications in AI and computer vision, including multi-view learning, visual search, and face recognition. He is an ARC Future Fellow and a member of the Sydney Southeast Asia Centre and The Net Zero Institute. Education: B.E. in Engineering (Tianjin University), Ph.D. in Computer Science (Peking University). His research interests emphasize handling heterogeneous data, exploring data variety, and developing algorithms for robust AI systems. His work includes adversarial robustness, neural architecture search, and efficient deep learning models. Research trends in his articles include adversarial robustness in neural architectures, efficient vision transformers, multimodal 3D style transfer, and underwater image restoration. Key contributions span image restoration, video super-resolution, and lightweight network design. He has advised multiple PhD and master's students on topics like diffusion models, radar image synthesis, and graph similarity. Awards: ARC Future Fellow. Collaborations focus on cross-domain data integration and AI applications. His labs and teams explore generative models, robust learning, and scalable robotics policies. Recent work includes diffusion models for action segmentation and robust vision-language systems.

• Machine Learning
• Computer Vision
• Data Mining
• +۶ مورد دیگر

Professor Judy Kay is a leading academic in Computer Science at the University of Sydney, holding a Chair in Human-Centred Technology Research within the Faculty of Engineering and IT. Her work focuses on designing personalized systems that empower users to control their data, particularly in lifelong learning and health contexts. She leads the Human Centred Technology Research Cluster and is Editor-in-Chief of the International Journal of Artificial Intelligence in Education (IJAIED). Education: Studied at the University of Sydney, inspired to pursue academia due to its multidisciplinary environment and student collaboration opportunities. Research interests include user modeling, scrutable AI systems, and interfaces for personal informatics. Current projects span virtual reality learning environments, health data dashboards, and ethical AI transparency. Her work has led to commercialized technologies like the Personis system. Publications include over 200 peer-reviewed works in top venues like CHI, UbiComp, and AIED conferences. Awards highlight her contributions to computing education and AIED, including the 2023 Lifetime Achievement Award. Advises 4 current PhD/Master’s students focusing on topics like Open Learner Models in VR and health decision-making tools. Collaborates with multidisciplinary teams across computer science, health sciences, and education. Labs/Teams: Leads research groups in the School of Computer Science and collaborates with the Charles Perkins Centre on health-related projects.

• Artificial Intelligence in Education (AIED)
• User Modeling
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Professor Jun Zhang is a leading academic in cybersecurity at Swinburne University, Australia, where he directs the Cybersecurity Lab. He has been honored as Australia's top cybersecurity researcher and instrumental in establishing Swinburne as a globally recognized cybersecurity research institution. His work includes high-impact papers and multi-million-dollar R&D projects, culminating in awards like the 2021 'Top Cybersecurity Research Institution' accolade. As course director of the Bachelor of Cyber Security, he pioneered an industry-driven teaching model with Deloitte and CSIRO, significantly boosting course enrollment. His collaborations extend to Adobe's Curriculum Innovation Program and the Australian P-TECH initiative, promoting STEM education and cybersecurity awareness. He supervises doctoral candidates and leads grants focused on AI-driven cybersecurity, smart home security, and blockchain-based edge computing. His research spans vulnerability detection, GAN forensics, IoT security, and privacy preservation in OSNs. Research interests include cybersecurity fundamentals, data science applications, and distributed systems. Notable achievements include the PTFix framework for Java vulnerabilities, the IoTFuzz smart home testing system, and CTI mining methodologies. Awards reflect his mid-career research excellence and industry partnerships. His grants with CSIRO and defense organizations emphasize real-world impact, addressing challenges from malware detection to adversarial machine learning. The Cybersecurity Lab and collaborative projects like Artchain demonstrate his commitment to bridging academia and industry. Professional activities include supervising over 20 HDR students and securing grants totaling millions. His work on blockchain-based edge storage (CSEdge) and SDCCP congestion control highlights innovation in networking. Future directions include advancing AI for design collaboration with CSIRO and enhancing privacy in smart energy technologies. His contributions span technical, educational, and community outreach domains, positioning him as a pivotal figure in cybersecurity's evolution.

• Cybersecurity and Privacy
• Data Management and Data Science
• Distributed Computing and Systems Software

Professor George Buchanan is a leading researcher in human-computer interaction and digital libraries at RMIT University . His work bridges information science, digital humanities, and health informatics, focusing on usability in sensitive contexts like healthcare and misinformation. Deputy Dean, Research at RMIT University Former Director, University of Melbourne iSchool Research Interests: Digital information interaction Health and aging informatics Disinformation analysis Mobile interface design Digital library systems Key Contributions: Developed mobile web usability benchmarks, spatial hypertext tools, and thermal feedback interfaces. Currently seeking PhD students for 2025 projects on digital browsing and view change dynamics. Awards: Over twenty best paper awards and Honorary Life Fellow of the Royal Society of Arts. Advising: Accepting Masters/PhD supervision in information interaction and digital health domains.

• Human-Computer Interaction
• Digital Libraries
• Information Retrieval
• +۵ مورد دیگر

Jon McCormack is a Professor jointly appointed in Monash University's Faculty of Art, Design & Architecture (MADA) and Faculty of Information Technology. He founded and directs SensiLab, a research facility focusing on computational creativity, human-machine interfaces, and generative systems. His work spans electronic media art, evolutionary music, and artificial life. McCormack holds a PhD in Computer Science from Monash University, along with degrees in Computer Science, Applied Mathematics, and Film/Television. Research interests include computational creativity, tangible interfaces, and cybernetic systems. Notable projects include 'Explainable Artificial Creativity' (ARC-funded) and 'Building 4.0 CRC,' addressing architectural innovation through AI. He has been recognized with awards for collaborative projects like the Blundstone Intelligent Footwear for Healthcare. McCormack's recent articles explore AI-driven art, generative systems, and interdisciplinary design. His work bridges artistic practice with technical innovation, emphasizing ethical and creative dimensions of human-AI collaboration. SensiLab serves as a hub for practice-based research in digital media and interactive systems. Education: PhD in Computer Science, Monash University (2004) Bachelor of Science (Honours), Computer Science/Applied Mathematics, Monash University (1987) Graduate Diploma in Film/TV, Swinburne University (1986) Bachelor of Science, Computer Science/Applied Mathematics, Monash University (1985) Key Projects: Lead investigator on 'Explainable Artificial Creativity' (2022–2026) Co-investigator in 'Building 4.0 CRC' (2020–2027), exploring AI-driven architectural design Awards: 2022 Designers Australia Award for Blundstone Footwear 2020 'On the Machine Condition' Prize McCormack's lab, SensiLab, fosters collaborations across disciplines, producing exhibitions, software, and theoretical frameworks for computational creativity. He actively supervises PhD students in practice-based research, emphasizing the intersection of art and technology.

• Computational Creativity
• Human-machine interfaces
• Artificial Intelligence/Cybernetics
• +۹ مورد دیگر

Dr. Jiang Qian is a Lecturer at the University of Sydney. He holds a PhD in Marketing from the University of Houston, a Master’s in Finance from Johns Hopkins University, and an undergraduate double major in Information Systems and Finance from the Southwestern University of Finance and Economics. His research focuses on leveraging quantitative models and machine learning techniques to extract insights from large-scale data in marketing and healthcare contexts, particularly in social media, online search, and healthcare markets. Current research supervision includes Jennifer Ye’s project on Audio Data Analytics: A New Dimension in Customer Service Excellence . Dr. Qian’s recent work spans AI applications in breast cancer detection, medical imaging analysis, and reinforcement learning for autonomous systems. His studies address challenges like AI model calibration, training data quality, and radiologist-AI collaboration in clinical settings. Notable contributions include analyzing video cover image impacts on advertisement engagement and exploring multiresolution techniques for medical imaging segmentation. His interdisciplinary approach bridges marketing analytics and healthcare technology, emphasizing practical clinical translation of AI systems.

• Marketing
• Machine Learning
• Data Analytics
• +۳ مورد دیگر

Dr. Alex Black is an Associate Professor in the School of Optometry & Vision Science at Queensland University of Technology (QUT), Faculty of Health. He serves as Course Coordinator for the Master of Optometry program and leads the Vision and Everyday Function research group within QUT's Centre for Vision and Eye Research. His expertise spans vision science, ageing-related vision decline, falls prevention, and driving safety. Dr. Black holds dual qualifications: a PhD in Vision Science (QUT, 2010) and a Masters of Public Health (University of Queensland, 2012). Teaching roles: Coordinates OP85 Master of Optometry program Research focus: Vision impairment impacts on mobility, driving safety, and academic performance Awards: FAAO (Fellow of American Academy of Optometry), FHEA (Fellow of Higher Education Academy) Research highlights include AUD $3.2 million in grants, over 100 publications, and contributions to international journals like Clinical & Experimental Optometry . His work bridges clinical practice and research, addressing real-world issues through innovative studies such as night-time pedestrian safety clothing design and advanced driver assistance system (ADAS) usability for older adults. Key collaborations include NHMRC-funded projects on injury prevention and Vision and Driving research laboratory studies. Dr. Black also serves editorial roles for Clinical & Experimental Optometry and peer review activities.

• Vision science
• Ageing and vision
• Falls prevention
• +۵ مورد دیگر

Matthew Stephenson is a Lecturer at Flinders University's College of Science and Engineering, specializing in Artificial Intelligence applications for games. He leads the Data for Decisions initiative within the Factory of the Future Transdisciplinary Hub, focusing on AI-powered scenario generation for smart digital twins. Additionally, he is a member of IRL CROSSING, an international lab studying human-autonomous agent teaming dynamics. PhD in Computer Science (Australian National University, 2019) B.Sc.(Hons) in Computer Science (University of Canterbury, 2015) His research applies AI, Machine Learning, and Data Science to game domains, including intelligent agent development for physics-based environments, procedural content generation, and game analytics. He also investigates deceptive behaviors in multi-agent systems and leverages games as testbeds for real-world AI solutions. Recent publications focus on large language models for game benchmarking, physical reasoning challenges, and evolutionary game generation. Scientific awards include an honourable mention at Foundations of Digital Games (FDG'18). He supervises students in procedural generation, game AI, and physics-based task creation, with teaching roles in computational intelligence and neural networks courses.

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

Associate Professor Stefanie Becker is a cognitive psychologist at the School of Psychology, University of Queensland , where she has been employed since 2007. Her research focuses on attention, visual search, and the relational account of attentional guidance using EEG, fMRI, and eye-tracking. She was awarded a PhD in Cognitive Psychology from the University of Bielefeld (Germany) in 2007, receiving the National German Dissertation Award. Education: PhD in Cognitive Psychology/Experimental Psychology, University of Bielefeld, Germany (2007) Research Interests: Relational account of attention (guidance by relative features such as 'reddest', 'darkest') Emotion and attention dynamics (e.g., processing of emotional faces) Inattentional blindness and awareness Visual working memory and attentional interference Neural mechanisms of visual search Article Trends: Her recent work (2023-2025) explores how relational features guide attention independently of context, the role of consciousness in emotional face capture, and interactions between attentional selection and visual working memory. Earlier studies (2016-2022) investigate EEG clustering techniques, spatial attention modulation by task-relevancy, and the balance between bottom-up and top-down processes in visual search. Scientific Awards: National German Dissertation Award (2007) UQ Postdoctoral Research Fellowship (2009-2018) Supervision: She supervises and has completed several PhD and Master’s projects on attentional templates, emotional face processing, visual working memory, and sensory substitution. Students include Aimee Martin, James D. Retell, and others. Labs/Teams: Becker leads the Centre for Perception and Cognitive Neuroscience at UQ, collaborating on interdisciplinary projects involving cognitive psychology, neuroscience, and computational methods.

• Cognitive Psychology
• Neuroscience
• Attention Research
• +۸ مورد دیگر

Dr. Xiaohan Yu is a Lecturer in Artificial Intelligence at Macquarie University's School of Computing, joining in December 2023. Previously, he completed his doctoral studies at Griffith University and served as a Research Fellow at the ARC Research Hub for Driving Farming Productivity. His research focuses on Ultra-Fine-Grained Visual Categorization (Ultra-FGVC), Smart Farming, and Automated Crop Cultivar Identification, with over 70 publications in top-tier venues like ICCV, CVPR, and IEEE Transactions. He holds editorial roles at Pattern Recognition and SN Computer Science , and received the APRS Early Career Award (2022) and ACM MM 2024 Outstanding Area Chair distinction. Education: Completed doctoral studies in Artificial Intelligence at Griffith University, Australia. Research Interests: Ultra-Fine-Grained Visual Categorization (Ultra-FGVC) Smart Farming and Agricultural Robotics Computer Vision Applications in Healthcare (e.g., trachoma detection) Deep Learning, Continual Learning, and Domain Adaptation Key Contributions: Pioneered Ultra-FGVC research, developed frameworks like Mix-ViT and CLE-ViT, and contributed to benchmarking multi-object tracking in farming. His work bridges pattern recognition with real-world applications in agriculture and healthcare. Scientific Awards: Australian Pattern Recognition Society (APRS) Early Career Researcher Award 2022 ACM Multimedia 2024 Outstanding Area Chair Award Advising & Grants: Actively involved in editorial roles (Area Chair for ACM MM, IJCNN) and grant-funded research through ARC hubs. His work is supported by collaborations in agriculture and AI-driven solutions for crop cultivar identification. Labs & Affiliations: Member of Macquarie's Smart Green Cities Research Centre and Frontier AI Research Centre , advancing interdisciplinary AI applications.

• Ultra-Fine-Grained Visual Categorization
• Smart Farming
• Automated Crop Cultivar Identification
• +۳ مورد دیگر

Professor Mike Le Pelley is a cognitive psychologist working in the School of Psychology at the University of New South Wales (UNSW). His research program spans multiple domains of cognitive science, focusing on the intersection of mind, brain and behavior. Professor Le Pelley's work aims to characterize the mental processes underlying human cognition and how these processes influence ongoing behavior in both healthy individuals and those with psychiatric conditions. His primary research focus is the relationship between attention and learning. Specifically, he investigates how attention changes as a result of learning about relationships between events. For example, as described in his profile, when driving, individuals prioritize the road ahead while trying to ignore distractions like squabbling children in the back seat. Professor Le Pelley's research examines the mechanisms that govern such attentional prioritization. While the core of his research focuses on fundamental processes in healthy cognition, he also studies how dysfunction in these processes contributes to conditions such as addiction and schizophrenia. His work has significant implications for understanding cognitive processes in both healthy individuals and those with psychiatric conditions. Professor Le Pelley has published extensively on topics including attentional capture by reward-related stimuli, associative learning, and the neural mechanisms underlying cognitive processes. His research frequently employs eye-tracking and neurophysiological methods to examine cognitive processes. His recent publications (2023-2025) demonstrate a clear research trajectory examining how reward systems influence attentional mechanisms. A significant portion of his work investigates how outcome variance, rather than just reward value, modulates attentional priority. His research on inner speech has provided important neurophysiological evidence regarding motor preparation and how this process is disrupted in schizophrenia. Professor Le Pelley's work consistently bridges basic cognitive mechanisms with clinical applications, particularly in understanding addiction and schizophrenia. Professor Le Pelley has made substantial contributions to theoretical frameworks in cognitive psychology, particularly in the areas of associative learning and attention. His 2010 book 'Attention and Associative Learning: From Brain to Behaviour' (co-edited with Chris Mitchell) is a significant contribution to the field. His collaborative work extends across multiple institutions and disciplines, reflecting the interdisciplinary nature of his research.

• Cognitive Psychology
• Attention
• Learning
• +۷ مورد دیگر

Dr. Sirojan Tharmakulasingam serves as a Lecturer and Research and Development Coordinator at the Signals, Information & Machine Intelligence lab within the Faculty of Engineering at the University of New South Wales (UNSW) Sydney. His work bridges theoretical machine learning with practical applications in edge computing and high-performance systems. His research spans multiple cutting-edge domains including machine learning, artificial intelligence, data science, edge computing, and high-performance computing. Dr. Tharmakulasingam specializes in developing next-generation inference models by integrating machine learning, signal processing, mathematical modeling, and computing across diverse data types including images, video, audio, and quantum molecular data. His work has significant implications for scientific computing, telecommunications, and healthcare applications. Analysis of his publication trends reveals a strong focus on practical AI implementations, with increasing emphasis on edge computing solutions, quantum applications, and energy-efficient models. His recent work demonstrates progression from foundational machine learning techniques toward specialized applications in scientific computing and real-time systems. Dr. Tharmakulasingam holds a Doctor of Philosophy from UNSW Sydney and a Bachelor of Science of Engineering from the University of Moratuwa in Sri Lanka. His academic journey reflects a strong foundation in both theoretical and applied engineering principles. As Research and Development Coordinator for the Signals, Information & Machine Intelligence lab, he oversees critical research infrastructure and collaborations. His work location in Room 447 of the EE&T Building (G17) places him at the heart of UNSW's engineering research ecosystem, with access to the Mark Wainwright Analytical Centre's extensive facilities.

• Machine Learning
• Artificial Intelligence
• Data Science
• +۶ مورد دیگر

Professor Zhifeng Bao is a faculty member at RMIT University's School of Computing Technologies. His research focuses on enhancing data usability across heterogeneous domains, including structured, unstructured, and spatial-temporal data. His work spans database management, keyword search optimization, social network analysis, and spatio-textual data processing. He coordinates the course COSC1169: Intranet and Internet Data Engineering and supervises PhD/Masters students in projects such as trajectory data processing, data asset valuation, and edge computing optimization. Research interests emphasize improving data accessibility and efficiency through methodologies like query relaxation, visual analytics, and provenance tracking. His recent projects include cost-effective edge node placement, traffic accident risk prediction, and differentially private federated learning. Teaching and supervision activities highlight a commitment to bridging theory and practical data engineering challenges.

• Database Management
• Spatial-Textual Data Processing
• Heterogeneous Data Usability
• +۶ مورد دیگر

Associate Professor Mitch Smith is a faculty member in the Discipline of Exercise and Sport Science at the University of Newcastle, Australia. He holds an Associate Professor position within the School of Biomedical Sciences and Pharmacy and specializes in mental fatigue's impact on performance across sports, industry, and defense sectors. Dr. Smith co-founded the Fatigue Research and Assessment Group (FRAG), a multidisciplinary team addressing physical and mental fatigue's effects on performance. His research integrates clinical physiology, psychology, motor control, and training systems to develop practical solutions for fatigue mitigation. Mitch has taught courses on motor control and skill acquisition, transitioning to blended learning formats to enhance student flexibility and engagement. This initiative earned him multiple teaching excellence awards, including the 2022 Learning Design and Teaching Innovation Award and the 2019 DVC(A) Educator Innovation Award. His collaborations span institutions globally, including Ghent University, the University of Kent, and German institutions. Key areas of research include mental fatigue in soccer, tackling technique analysis in rugby, and virtual reality applications for hazard perception. He has secured over $1.5M in grants, including the 2024 EngAGE project combating social isolation in older adults. Scientific contributions include over 30 journal articles and 14 conference presentations. Notable awards include the 2016 Aspetar Excellence in Football Research Award and recognition for teaching innovation. Mitch currently supervises PhD candidates focusing on youth talent development and collective behavior in soccer. Education: Doctor of Philosophy, University of Technology Sydney Doctor of Health Sciences, Ghent University, Belgium Bachelor of Human Movement Science (Honours), University of Technology Sydney Research Interests: Mitch's work centers on understanding and mitigating mental fatigue's effects on physical and cognitive performance. He applies this knowledge to optimize outcomes in sports, workplace safety, and defense. His recent projects include analyzing fatigue effects in youth soccer, handball, and swimming, as well as developing telehealth exercise physiology services for older adults. Grants & Funding: Mitch has secured funding for initiatives such as the EngAGE program ($631K), validation of hydration status methods ($15K), and equipment grants for metabolic and performance diagnostics. His collaborative projects address talent development in sports high schools and ecological mental fatigue assessment via the Footbonaut facility in Germany. Awards: 2022 Learning Design and Teaching Innovation Award 2019 DVC(A) Educator Innovation and Impact Award 2016 Aspetar Excellence in Football Research Award Labs/Teams: Dr. Smith leads the Fatigue Research and Assessment Group (FRAG), focusing on translational research to bridge lab findings and real-world applications in fatigue management.

• Mental Fatigue
• Sports Science
• Exercise Physiology
• +۵ مورد دیگر

Professor Joseph Baker is a faculty member at the School of Kinesiology and Health Science, York University, specializing in optimal human development and athlete expertise. His research examines psychosocial and environmental factors in athletic skill acquisition, talent identification, and aging in sports. Institution: York University School: School of Kinesiology and Health Science Academic Rank: Professor Research Interests His work spans high-performance athlete development , Masters athlete aging studies , relative age effects , and talent wastage . He investigates how environmental constraints and practice structures influence expertise, with applications in para-sport and life-long physical activity . Publication Trends Recent studies focus on early specialization in hockey, talent selection policies , and psychological drivers of athlete longevity. Collaborations include analyses of physical load in handball, self-regulated learning in training, and barriers to sports participation for older adults. Students & Funding He mentors 15+ graduate students and has secured funding from Social Sciences and Humanities Research Council of Canada , Sport Canada , and Canadian Institutes of Health Research . His team explores topics like paralympic pathways , coach decision-making , and genetic/environmental interactions in performance.

• Sport Psychology
• Athlete Development
• Talent Identification
• +۵ مورد دیگر