جست‌وجوی استاد و پژوهشگر

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

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.

Tien Tsin Wongمشاهده پروفایل

استاد

• Generative AI
• Computer Graphics
• Computer Vision
• +۴ مورد دیگر

Tien Tsin Wong is a Professor in the Department of Data Science & AI at Monash University, Australia. Previously, he served as a Professor at the Chinese University of Hong Kong (1999–2024) and held a Visiting Assistant Professor position at the Hong Kong University of Science and Technology (1998–1999). His research focuses on Generative AI, Computer Graphics, Computer Vision, and Computational Manga, with significant contributions to GPU techniques, image-based rendering, and multimedia compression. Education: He earned a B.Sc. (1992), MPhil (1994), and PhD (1998) in Computer Science from the Chinese University of Hong Kong. Research Interests: His work bridges computational techniques with artistic applications, particularly in manga and animation. Notable areas include generative models, diffusion-based video synthesis, and physically plausible scene generation. His research aligns with UN Sustainable Development Goals through innovations in education and digital accessibility. Awards : He has received the 2004 Young Researcher Award, 2005 IEEE Transactions on Multimedia Prize Paper Award, and two international invention medals (Geneva 2018, Asia Hong Kong 2019). Editorial Roles : He serves as an Associate Editor for Computer Graphics Forum , IEEE Transactions on Visualization and Computer Graphics , and Computational Visual Media . His editorial work underscores his influence in advancing visualization and graphics research. Labs/Teams : While not explicitly named, his collaborations span global institutions, focusing on computational manga, generative AI, and GPU-optimized techniques. His work often involves interdisciplinary teams addressing challenges in digital media and AI.

Shoudong Huangمشاهده پروفایل

استاد

• Mobile robot navigation
• Simultaneous localization and mapping (SLAM)
• Underwater robotics
• +۴ مورد دیگر

Shoudong Huang is a Professor at the School of Mechanical and Mechatronic Engineering , University of Technology Sydney, and Deputy Director of the UTS Robotics Institute. His research focuses on mobile robot navigation , SLAM , nonlinear state estimation , and surgical robotics . He has published over 200 papers and is recognized as one of the 100 Most Influential Scholars in Robotics (Aminer, 2018). PhD in Automatic Control, Northeastern University (China) Postdoctoral Research Fellow, University of Hong Kong (1998-2000) Research Fellow, Australian National University (2001-2003) Full-time academic roles at UTS since 2004 His work addresses challenges in robot localization across extreme environments (underwater, underground mining, surgical settings) and develops globally optimal SLAM algorithms with guaranteed performance. He has secured over $4 million AUD in external funding, including ARC Discovery grants and industry partnerships. Recent publications emphasize cross-modal calibration (camera-LiDAR), interval analysis for bounded noise , and template-based deformable surface reconstruction . These span applications in autonomous driving, surgical navigation, and UAV guidance. Chancellor’s Medal for Research Excellence (2020) Supervisor of the Year (2023) Best Paper Award (2016 ICARCV) Huang serves as Associate Editor for IEEE Transactions on Robotics and International Journal of Robotics Research , and has held leadership roles in top robotics conferences like IROS and RSS. His collaborations span MIT, USC, Zhejiang University, and industry partners including PMSW Research Pty Ltd and Multiplex Constructions Pty Ltd.

Jarrod Ray Horeمشاهده پروفایل

مدرس

• Environmental History
• Settler Colonialism
• History of Science
• +۳ مورد دیگر

Jarrod Ray Hore is a Scientia Lecturer in the School of Humanities & Languages at the University of New South Wales (UNSW), Sydney, and Co-Director of the New Earth Histories Research Program. His work explores environmental history, settler colonialism, and the intersections of science, geology, and cultural landscapes. Hore’s research focuses on landscape photography’s role in shaping colonial projects, earthquake geology, and the logistics of the natural history trade. He has published widely in journals like the Pacific Historical Review and Australian Historical Studies, and his award-winning book *Visions of Nature* (2022) examines how photography reinforced settler territoriality. His research interests span environmental history, transnational history, the history of science, and colonial studies. Key areas include the history of settler colonialism in Australia, New Zealand, and North America, as well as the cultural and scientific dimensions of geological exploration. Hore actively supervises HDR and honours students in environmental history, colonial history, and the history of photography. His awards include the Marilyn Lake Prize (2023) and Donna Coates Prize (2022), with shortlist recognitions for prestigious history awards. Beyond academia, he teaches courses like *A House Divided: The Making of Modern America* (ARTS2150), emphasizing U.S. histories of race, class, and global engagement. Hore’s work bridges environmental humanities and colonial studies, analyzing how visual and scientific practices reinforced imperial and settler agendas. His current projects explore the material and logistical networks underpinning natural history collections and the epistemologies of colonial geology.

Qi Wuمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Vision-to-Language
• +۴ مورد دیگر

Qi Wu is an Associate Professor in the Department of Computer Science, School of Computer and Mathematical Sciences, Faculty of Sciences, Engineering and Technology at the University of Adelaide, based at the Australian Institute for Machine Learning on North Terrace campus. His decade-long career in computer vision includes leadership in Vision-and-Language research and prior roles as an ARC Senior Research Associate at the Australian Centre for Robotic Vision (ACRV) and a Postdoc Researcher at the Australian Centre for Visual Technologies (ACVT). His educational qualifications consist of a Master of Science (MSc) in Global Computing and Media Technology (2011) and a PhD in Computer Science (2015), both from the University of Bath, United Kingdom. Research expertise centers on computer vision and machine learning , with pioneering work in Vision-to-Language systems. Key contributions include state-of-the-art models for image captioning and visual question answering (VQA) , contextual object modeling across depictive styles, and object detection using environmental cues. His focus on neural architectures for image-text interaction has established him as a leader in multimodal AI. Scientific recognition includes: Microsoft COCO Image Captioning Challenge winner (2015) Visual Question Answering Challenge winner (2015) Dr Wu is eligible to supervise Masters and PhD students but is currently at capacity; prospective students must email directly for availability discussions. His research has been supported by Australian Research Council (ARC) funding through prior Senior Research Associate and Postdoctoral roles. Current work involves leading a dedicated Vision-and-Language team at the University of Adelaide, building on his extensive publication record in top venues. He maintains active affiliations with the Australian Institute for Machine Learning and previously contributed to the Australian Centre for Robotic Vision (ACRV) and Australian Centre for Visual Technologies (ACVT), reflecting deep integration with national AI research infrastructure.

Lexing Xieمشاهده پروفایل

استاد

• Machine Learning
• Social Media Analysis
• Computer Vision
• +۷ مورد دیگر

Lexing Xie is a Professor in Computer Science at the Australian National University. He leads the ANU Computational Media Lab ( http://cm.cecs.anu.edu.au ) and the ANU Integrated AI Network. His work focuses on the intersection of machine learning, social media analysis, and multimedia understanding. Dr. Xie's research broadly focuses on innovative design and use of machine learning algorithms, especially on large-scale graph data and collective behaviour. His recent work spans several key areas: Popularity in social media -- understanding, predicting, and optimization Multimedia knowledge graphs, vision and language integration Humanising machine intelligence through better understanding of social dynamics His publications reveal a strong trend toward understanding information diffusion patterns in social media, particularly through visual content. He has made significant contributions to the study of visual memes, popularity prediction using point processes, and multimodal learning that connects vision with language. His work often bridges theoretical machine learning with practical applications in social media analysis. Dr. Xie has received recognition for his research, including an Honourable Mention at CSCW 2019 for his work on attention flow in online video networks. His research has been supported by collaborations with major institutions including IBM Research and Columbia University. As an advisor, Dr. Xie has mentored numerous students who have gone on to contribute significantly to publications in top-tier conferences. His lab, the ANU Computational Media Lab, serves as a hub for interdisciplinary research connecting computer science with social sciences.

Pieter van Goorمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Control Theory
• Equivariant Systems Theory
• +۵ مورد دیگر

Pieter van Goor is a Research Fellow at the Australian National University (ANU), affiliated with the School of Engineering and the Systems Theory and Robotics (STR) group. He holds a PhD in Control Theory (completed 2022) and dual bachelor's degrees (BEng/BSc, 2018). His research focuses on equivariant systems theory, state estimation, and robotics applications. Key contributions include equivariant observer design, Lie group-based control, and geometric data fusion. Education: Bachelor of Engineering (Research & Development) (Honours) in Mechatronics (ANU, 2018) Bachelor of Science in Mathematics (ANU, 2018) PhD in Control Theory (ANU, 2022) Research Interests: Equivariant systems theory, nonlinear control, robotics applications, state estimation on Lie groups, sensor fusion, and geometric control methods. His work emphasizes symmetry exploitation in filter design and observer construction for systems with inherent geometric structures. Grants & Collaborations: Active collaborations include work with Robert Mahony and institutions like the IEEE. Research spans theoretical frameworks (e.g., equivariant filters) and applied systems (e.g., ArduPilot autopilot, event cameras). Labs/Teams: Member of the Systems Theory and Robotics (STR) group at ANU, focusing on advanced control theory and robotics.

Simon Buckingham Shumمشاهده پروفایل

استاد

• Human-Computer Interaction
• Educational Technology
• Learning Analytics
• +۵ مورد دیگر

Professor Simon Buckingham Shum is a leading academic in Learning Informatics at the University of Technology Sydney (UTS), serving as inaugural Director of the Connected Intelligence Centre since 2014. His work bridges Human-Computer Interaction, Educational Technology, and Learning Analytics to develop AI-driven tools like OnTask that enhance student belonging through personalized feedback. Key research areas: Human-Computer Interaction, Learning Analytics, AI in Education, Collective Intelligence Recent work focuses: LLM-augmented qualitative analysis, Belonging Analytics frameworks, and ethical AI implementation in education CIC received the 2024 Vice-Chancellor’s Student Experience Award for scaling OnTask across multiple faculties. His contributions span over 30 years, including founding roles at The Open University’s Knowledge Media Institute and innovations in Open Educational Resources (OER), SocialLearn, and FutureLearn platforms. Notable awards: 2024 Student Experience Award (OnTask), Fellow of the Royal Society of Arts (RSA), DEFI STRI Researcher at University of Cambridge Education: B.Sc. in Psychology (York), M.Sc. in Ergonomics (UCL), PhD in Human-Computer Interaction (York) He leads multidisciplinary collaborations with teams across Business, Law, and Education faculties, pioneering tools like Theme Explorer and Qreframer bot. His recent focus on the "metacrisis" reframes educational technology’s role in addressing global systemic challenges through transdisciplinary approaches.

Francois Soyerمشاهده پروفایل

دانشیار

• Early Modern History
• Anti-Semitism Studies
• History of the Inquisition
• +۴ مورد دیگر

Dr. François Soyer is an Associate Professor at the University of New England's School of Humanities, Arts, and Social Sciences, specializing in Early Modern History. He holds a PhD from the University of Cambridge (2007) and has held academic positions at the University of Southampton and the University of Adelaide. His research focuses on anti-Semitism, the Spanish and Portuguese Inquisitions, gender/sexuality history, and colonial empires. He has authored multiple books and articles, including Popularizing anti-Semitism in early modern Spain and its empire (2014) and Antisemitic conspiracy theories in the early modern Iberian world (2019). His work often examines how religious persecution intersected with medical, artistic, and legal practices. Education: PhD in History, University of Cambridge (2007) MPhil in History, University of Cambridge (2003) MA Honours, University of St. Andrews (2002) Postgraduate Certificate in Academic Practice, University of Southampton (2011) Research Interests: Anti-Semitic propaganda and conspiracy theories Inquisitorial archives and legal practices Gender transgression and queer histories Censorship of art and religious imagery His recent publications explore the Blood Libel legend, the trial of Catalan cross-dresser Maria Duran, and the emotional dimensions of religious conversion. He has been awarded fellowships from the Royal Historical Society and the Parkes Institute. His current projects include tracing the origins of anti-Jewish iconography in colonial Peru and analyzing the role of emotion in early modern religious trials.

• Graphic Design
• Communication Design
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Yaron Meron is a Lecturer and researcher in design at the University of Sydney's School of Architecture, Design and Planning. He holds a PhD (RMIT, Melbourne) and two Master's degrees (RMIT, Central St Martins). His work bridges academic research and professional practice, focusing on graphic and communication design, socially engaged design, AI integration, and responsible design thinking. Meron’s research explores interdisciplinary challenges, design collaboration, and the societal impact of emerging technologies like AI. He coordinates the Civic & Social Design Research Group. Educations: PhD in Design (RMIT University, Melbourne) MA in Design (RMIT University, Melbourne) MA in Communication Design (Central Saint Martins, London) Research Interests: Graphic design as an interdisciplinary practice Artificial intelligence in design education and practice Media literacy and defamiliarisation techniques Socially engaged design methodologies Design briefs and stakeholder relationships Articles & Trends: Recent publications emphasize AI's role in design education, speculative urban futures, and critical design approaches to media literacy. His work frequently intersects with pedagogy, ethics, and technology’s societal implications. Labs/Teams: Coordinator of the Civic & Social Design Research Group, fostering collaborative projects on responsible design and interdisciplinary innovation.

• Intellectual Property Law
• Legal History
• Copyright Law
• +۳ مورد دیگر

Professor Isabella Alexander is a distinguished legal historian and intellectual property scholar at the University of Technology Sydney (UTS), Faculty of Law. She specializes in copyright law with a particular focus on its historical dimensions and application to cartography and visual works. As a leading researcher in her field, she holds significant research grants including ARC Discovery projects on copyright law in the 21st century and copyright in cartography. Her educational background includes: PhD from the University of Cambridge LLB (Hons) from the Australian National University BA (Hons) from the Australian National University Professor Alexander's research explores how laws inform and regulate the creation, circulation and reception of knowledge and culture from a historical perspective. Her work bridges legal history with contemporary intellectual property challenges, particularly in areas of copyright for visual works, cartography, and digital creativity. She has made significant contributions to understanding the historical development of copyright principles and their application to modern technological contexts. An analysis of her recent publications reveals a strong focus on the intersection of copyright law with visual culture, cartography, and emerging digital challenges including AI-generated content and memes. Her work demonstrates a clear trajectory toward interdisciplinary approaches that connect historical legal frameworks with contemporary technological and cultural phenomena, showing increasing engagement with how historical understanding can inform solutions to modern intellectual property challenges. Her notable scientific achievements include: 2023 LSAANZ Award for published scholarly book/monograph for "Copyright and Cartography: History, Law, and the Circulation of Geographical Knowledge" Professor Alexander has secured significant research funding as Lead Chief Investigator on the ARC Discovery grant "Hacking Copyright Law in the 21st Century: Art, Law, History and Technology" and as sole Chief Investigator on "Copyright and Cartography: Understanding the past, shaping the future." She has actively contributed to policy development through submissions to the Australian Productivity Commission's Inquiry into IP Arrangements and on addressing copyright infringement online through secondary liability and website blocking mechanisms. She currently serves as President of the Australian and New Zealand Law and History Society and is a member of the Governing Board of the International Society for the History and Theory of Intellectual Property, demonstrating her leadership and influence in both national and international academic communities.

• Financial Analysis
• Equity Valuation
• Life Insurance
• +۳ مورد دیگر

Demetris Christodoulou is an Associate Professor in Accounting, Governance and Regulation at the University of Sydney. He holds a BEcon from Piraeus University, an MSc(Fin) from the University of York (UK), and a PhD from Athens University of Economics and Business (AUEB). His research focuses on applying data analytics, econometrics, and visualization techniques to financial analysis, equity valuation, life insurance, and financial advice. He co-directs the PEMA research group, specializing in productivity and performance measurement analytics, and previously led the MEAFA research group (2007–2022). He has collaborated extensively with industry partners including Deloitte and Australian insurers, and developed training programs for over 1,000 executives. His work includes open-source contributions to Stata software and the Graph Workflow platform, alongside $662k in workshop-generated funds supporting academic programs. He has advised multiple PhD students and taught at leading universities globally. Education: BEcon in Economics (Econometrics), Piraeus University MSc in Finance, University of York (UK) PhD in Accounting and Financial Analysis, Athens University of Economics and Business His research interests span financial reporting models, life insurance underwriting strategies, and behavioral finance. Recent projects address dishonesty mitigation in insurance disclosures and the adviser effect on customer disclosures. He has published widely in top journals like the Review of Accounting Studies and Stata Journal , and his work was featured in The Australian for insights on insurance fraud reduction. He maintains international collaborations, including visiting roles at Columbia Business School and the University of Cyprus, and serves on advisory boards for organizations like Behaviour.ai. Publications highlight methodological innovations in econometrics and visualization, with 2025's upcoming Stata Journal paper advancing time-series analysis techniques. His grants include partnerships with industry on longitudinal studies of insured lives, aiming to improve risk modeling and public policy insights.

• Computer Vision
• Deep Learning
• Reinforcement Learning
• +۷ مورد دیگر

Dr. Chandranath Adak is an Assistant Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Patna (IIT Patna), and concurrently serves as a Visiting Fellow at the School of Computer Science, University of Technology Sydney (UTS), Australia. He holds a Ph.D. in Analytics from UTS (2019) and previously served as an Assistant Professor at Indian Institute of Information Technology Lucknow (IIITL) and the Centre for Data Science at JIS Institute of Advanced Studies, Kolkata. Education: Ph.D. (Analytics), University of Technology Sydney (2019) M.Tech., Computer Science and Engineering, University of Kalyani (2014) B.Tech., Computer Science and Engineering, West Bengal University of Technology (2012) Research Interests: His work spans Computer Vision, Deep Learning, Reinforcement Learning, Document Image Analysis, and AI-driven solutions for healthcare, forensics, and industrial automation. He has pioneered methods in biomarker detection using electrochemical sensors combined with ML models, handwriting analysis for educational and forensic applications, and anomaly detection in industrial systems. His research bridges theoretical advances with real-world applications, such as medical diagnostics and quality control systems. Publications: His recent work includes innovations in biosensor-based medical diagnostics, handwriting evaluation systems, and transformer networks for historical document analysis. These contributions reflect a focus on interdisciplinary applications of AI across healthcare, cultural heritage preservation, and industrial automation. Awards: Start-up Research Grant, SERB, India (2022) Dr. Kalam Doctoral Scholarship, UTS (2018) IEEE CIS Graduate Student Research Grant (2017) Senior Member, IEEE (2024) Teaching & Supervision: Taught courses at UTS including 'Introduction to Data Analytics' and supervised research in machine learning and computer vision. His mentorship emphasizes hands-on experience with AI tools and real-world problem-solving. Labs & Teams: Engaged in collaborative projects at UTS's CIBCI Centre and Griffith University's IIIS, focusing on computational intelligence and sensor-driven AI systems.

• Early Childhood Education
• Art Education
• Play-Based Learning
• +۵ مورد دیگر

Felicity McArdle is a Professor in the Department of Early Childhood Education within the Faculty of Education at Queensland University of Technology. With a distinguished career spanning over two decades, her work centers on reimagining early childhood pedagogy through critical lenses of social justice, art education, and play-based learning. Her research has significantly influenced Australian early childhood policy and practice. McArdle's research interests demonstrate a consistent commitment to transformative education. She critically examines how art and play function as vehicles for social justice, challenging neoliberal discourses in early childhood education. Her work on refugee children's artistic expression and anti-bias curriculum development reveals her dedication to equity-oriented pedagogy. Through collaborative drawing methodologies and visual research approaches, she has pioneered innovative ways of understanding children's perspectives. Her publication trends reveal a sophisticated evolution from foundational work on visual arts in education (2001-2010) toward increasingly critical examinations of power, policy, and social justice (2011-2021). The consistent citation impact of her work—particularly her 2002 paper 'Early Childhood Art Education: A Palimpsest' with over 13,000 citations—demonstrates her field-defining contributions to reconceptualizing art education as critical praxis. McArdle has held significant editorial roles including co-editing the influential 2013 volume 'Young Children, Pedagogy and the Arts' and serving on the editorial board of Australian Journal of Early Childhood. Her collaborations with leading scholars like Susan Grieshaber, Jennifer Sumsion, and Linda Knight have produced seminal work on intentional teaching and play-based learning. Her research methodology expertise centers on visual and arts-based approaches, particularly collaborative drawing techniques that engage children as active research participants. This methodological innovation reflects her commitment to ethical research practices that honor children's agency while generating meaningful insights about early childhood experiences.

Deborah Richardsمشاهده پروفایل

استاد

• Intelligent Virtual Agents
• Virtual Reality for Education and Health
• Health Informatics
• +۵ مورد دیگر

Deborah Richards is a Professor in the School of Computing at Macquarie University, affiliated with the Ethics and Agency Research Centre, Performance and Expertise Research Centre, and Frontier AI Research Centre. She holds roles as Industry and External Relations Director for the School and Director of the Virtual Reality Lab. Her research focuses on Intelligent Virtual Agents, Virtual Reality applications in education and health, knowledge acquisition, and cybersecurity ethics. She has authored over 425 publications and led 19 research projects, including studies on AI in healthcare and ethical AI design. Education: PhD (Artificial Intelligence, Macquarie University), MAppSc (Information Studies), BBus (Computing and MIS), and a Postgraduate Certificate in Higher Education (Leadership and Management). She advises on PhD and MRes students in Intelligent Virtual Agents research. Research interests include virtual agents for health behavior change, AI ethics, and educational technology. Notable projects include the eADVICE web-based management system for urinary incontinence and the development of embodied conversational agents for wellbeing support. Awards include the ABC Science Media Fellowship (2005) and Vice-Chancellor’s Citations for Outstanding Contributions to Student Learning (2017). Grants and collaborations span health informatics, cybersecurity, and AI ethics. She co-leads initiatives like the Respectful Maternity Care study and the Virtual Reality Lab’s immersive learning environments. Future work emphasizes ethical AI integration in education and healthcare.