جستجوی استاد راهنمای دانشگاهی

Nicholas Evansمشاهده پروفایل

استاد

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +۱۲ مورد دیگر

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

Nicholas Evansمشاهده پروفایل

استاد

• Endangered Languages
• Linguistic Typology
• Historical and Contact Linguistics
• +۵ مورد دیگر

Nicholas Evans is Distinguished Professor of Linguistics and Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL) at the Australian National University’s School of Culture, History & Language. His work bridges fieldwork-based language documentation with theoretical questions in typology, cultural evolution, and social cognition. Focus on endangered Australian and Papuan languages Director of ARC Laureate Project on 'The Wellsprings of Linguistic Diversity' Co-leader of SCOPIC (Social Cognition Parallax Corpus) study Collaborator in global linguistic diversity initiatives His research explores how micro-level community multilingualism shapes macro-level linguistic diversity, with fieldwork spanning seven years in remote Indigenous communities. Recent projects include PARABANK (paradigm syncretism analysis) and Southern New Guinea language studies, particularly Nen and Yam family languages. Scientific recognition includes the Ken Hale Award (Linguistic Society of America), Anneliese Maier Forschungspreis, and fellowships in the Australian Academy of Humanities, Australian Social Sciences Academy, and the British Academy.

• 3D Computer Vision
• Machine Learning
• VR and AR
• +۴ مورد دیگر

Professor Hongdong Li is a Tenured Professor at the School of Computing, Australian National University (ANU), within the College of Engineering and Computer Science. His research focuses on 3D Computer Vision, Machine Learning, and their applications in dynamic environments. He has held visiting roles at Carnegie Mellon University and has contributed to significant projects like the Australia Bionic Eyes initiative. Education: PhD (Electrical Engineering). Research Interests : 3D Computer Vision fundamentals and applied AI systems Learning-based 3D perception for plant sciences Robot navigation in unfamiliar environments Awards : Marr Prize Honourable Mention CVPR Best Paper Award Advising & Grants : Supervised 40+ PhD students, with funding from ARC, CSIRO, Microsoft, and firms like OPPO/Tencent. Active in projects such as bushfire detection via video analytics and sign language translation systems. Labs/Teams : Co-founder of the Australian Centre for Robotic Vision (ACRV). Collaborates globally on cross-view localization and autonomous systems.

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.

Scarlett Raineمشاهده پروفایل

مدرس

• Artificial Intelligence
• Computer Vision
• Robotics
• +۷ مورد دیگر

Dr. Scarlett Raine is a Lecturer in the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT), where she serves as a Chief Investigator at the QUT Centre for Robotics and an Associate Investigator at the QUT Centre for Data Science and QUT Centre for Environment and Society. Her work focuses on applying Artificial Intelligence to automate underwater image analysis for marine ecosystem monitoring.

Massimo Piccardiمشاهده پروفایل

استاد

• Natural Language Processing
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Massimo Piccardi is a Professor of Natural Language Processing (NLP), Computer Vision, and Machine Learning at the University of Technology Sydney (UTS) , where he has been since 2002. He currently serves as the Head of the School of Electrical and Data Engineering and leads the Big Data Analytics program at the Global Big Data Technologies Centre. His research focuses on advancing NLP, machine learning applications in healthcare, and cybersecurity in IoT systems. He has authored over 200 journal papers and conference proceedings, secured significant ARC and CRC grants, and holds the IEEE Computer Society Distinguished Contributor Award (2022). Education & Professional Roles: Joined UTS in 2002, progressing from Associate Professor (2002–2007) to Professor (2008–present). Serves as Associate Editor for IEEE Transactions on Big Data and Editor for Artificial Intelligence in Medicine. Active in professional societies including IEEE, ACL, and ALTA (President, 2023–2024). Research Interests: Core areas include NLP (translation, summarization, adversarial attacks), healthcare informatics (clinical NLP, health service analysis), and cybersecurity (IoT security, privacy-preserving systems). Cross-cutting themes include generative models, cross-lingual systems, and ethical AI. Grants & Projects: Principal Investigator on ARC Discovery/Linkage projects and CRC grants. Recent projects include controllable machine translation (Amazon), privacy-preserving digital agriculture, and STEM innovation (ASTRID project with NBN Co). Labs & Collaborations: Leads the UTS Global Big Data Technologies Centre, collaborating on projects like adversarial NLP attacks, medical machine translation, and secure IoT frameworks.

Marcus Smithمشاهده پروفایل

دانشیار

• Technology Law and Regulation
• Artificial Intelligence Ethics
• Genomic Data Governance
• +۴ مورد دیگر

Marcus Smith is an Associate Professor in Law at the Charles Sturt University , where he teaches LAW222 Technology Law and directs the Bachelor of Laws program. He holds advanced degrees from the Australian National University (PhD, LLM) and the University of Cambridge (MPhil). His research spans technology law and regulation , focusing on genomic data governance biometric identification AI ethics blockchain policy cybersecurity surveillance law He leads the Contemporary Threats to Australian Security research group and serves as Chief Investigator on an NHMRC-funded project (MRF2015531) addressing genomic dataset governance. His recent work analyzes algorithmic bias in facial recognition AI in healthcare blockchain's regulatory challenges post-pandemic cybercrime surveillance ethics data security frameworks He actively supervises PhD and honours students in technology law and contributes to law reform through submissions to international bodies like the UN Human Rights Council .

Nidhi Homey Parayilمشاهده پروفایل

پژوهشگر

• Path Planning
• Robotic Manipulation
• Agricultural Robotics
• +۳ مورد دیگر

Nidhi Homey Parayil is a PhD researcher at the QUT Centre for Robotics , affiliated with Queensland University of Technology. She holds a B.Tech in Production Engineering from the National Institute of Technology, Calicut (India), and a Master's in Robotics with a minor in AI from Oregon State University (USA). Research focus on path planning and manipulation of robotic arms in agricultural environments Experience with dual-arm robots for human assistance and six-axis robots for prenatal scanning Her work bridges computer vision and robotics in uncertain environments. While no formal awards or publications are mentioned in the available text, she is actively engaged in robotics research at QUT.

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.

Dylan Campbellمشاهده پروفایل

مدرس

• Computer Vision
• Optimization
• Machine Learning
• +۳ مورد دیگر

Dylan Campbell is a Lecturer in Computing at the Australian National University (ANU), affiliated with the ANU College of Systems & Society. His research focuses on computer vision, optimization, and robotics, particularly in 3D vision and deep learning applications. He has held prior roles as a Research Fellow at the University of Oxford’s Visual Geometry Group and ANU’s Australian Centre for Robotic Vision. Campbell holds a PhD from ANU (2018) and a BE in Mechatronic Engineering from UNSW (2012). Research interests include geometric sensor alignment, neural radiance fields, and differentiable optimization layers. He actively supervises students (7 PhD/DPhil, 3 MEng, 9 honours) and teaches advanced courses in computer vision and robotics. Notable awards include the Marr Prize Honourable Mention (2017) and the IEEE Australia Council Postgraduate Student Paper Competition (2018). He has organized workshops at ECCV and CVPR, served as a reviewer for top conferences like CVPR/ICCV/ECCV, and contributed to datasets like SEED4D and RefRef. His work emphasizes efficient training of neural networks and leveraging symmetries in data for long-range connections.

Guy Wallisمشاهده پروفایل

استاد

• Visual neuroscience
• Object recognition
• Visuomotor control
• +۵ مورد دیگر

Professor Guy Wallis is a Professor and Director of Research at the School of Human Movement and Nutrition Sciences, Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland. He is also an Affiliate of the Centre for Sensorimotor Performance. His work bridges visual neuroscience, computational modeling, and applied human factors research, with significant contributions to understanding visual recognition and visuomotor behavior. Education: Bachelor (Honours) of Engineering in Electrical and Electronic Engineering from Imperial College London PhD in Visual Neuroscience from University of Oxford, UK Prof. Wallis's research program combines computational modeling with behavioral studies, many conducted in computer-controlled virtual environments. His work spans visual neuroscience, object recognition, visuomotor control, and simulator-based training. He has made significant theoretical contributions to understanding how visual recognition is achieved in biological systems and how everyday visuomotor tasks are regulated, challenging existing paradigms and offering new insights. His recent publications reveal a strong focus on virtual reality applications, visual-motor integration challenges, and cross-species cognitive studies. There's a clear trend toward investigating how virtual environments can be optimized for training and assessment, with particular attention to visual perception limitations and how humans adapt to these environments across diverse contexts from surgical training to aviation. Scientific Awards and Recognitions: Elected Fellow of the Queensland Academy of Arts and Sciences (2022) ARC Medical Research Advisory Group (2022-2024) ARC College of Experts (2019-2021) CSIRO CSS Human Research Ethics Committee member (2020-2022) UQ Health and Behavioural Sciences Faculty, HDR Supervision Award (2018) ARC Future Fellowship (2011-2014) ARC QEII Fellowship (2003-2007) UQ Postdoctoral Fellowship (2001-2003) Prof. Wallis has successfully secured funding from major organizations including the Australian Research Council, the Human Frontier Science Program, and the Wellcome Trust. His industry partnerships span diverse sectors such as construction training, mining, healthcare, and aerospace. His research has led to the development of novel training programs for health professionals, impacted the design of man-machine interfaces for mining equipment, and informed the design parameters for pilot training systems. As Director of Research, he oversees the research direction of the School of Human Movement and Nutrition Sciences, fostering interdisciplinary collaborations and supporting early-career researchers through his leadership in the Centre for Sensorimotor Performance.

• Art History
• Early Modern European Art
• Museum Studies
• +۲ مورد دیگر

Robert Wellington serves as Associate Professor and Director of the Centre for Art History & Art Theory at the School of Art & Design, Australian National University (ANU), within the College of Arts & Social Sciences. His academic leadership focuses on advancing art historical research and public engagement through institutional initiatives. His research spans Art History, Early Modern European Art (particularly Louis XIV's France), Museum Studies, Public Humanities, and Cultural Heritage. Wellington investigates transcultural object exchange, royal iconography, and identity construction through material culture, with emphasis on Versailles, medals, and marginalia. His work bridges historical scholarship with contemporary public humanities applications in museums and digital archives. Analysis of his 2020-2024 publications reveals concentrated exploration of Louis XIV's cultural legacy, Versailles' global impact, and the evolving role of humanities institutions. He pioneers digital critical editions while examining how objects shape identity across cultural boundaries, consistently connecting historical practices to modern museum and archival challenges. No scientific awards were documented in the provided materials. As Centre Director, Wellington oversees research programs and institutional partnerships, though specific student advisees and grant details remain unlisted in available sources. His leadership facilitates interdisciplinary projects including the Jean-Benjamin de Laborde digital edition initiative. The Centre for Art History & Art Theory functions as a research hub under Wellington's direction, driving public humanities innovation through the ANU's Art & Design Seminar Series, Visiting Artist Program, and collaborative projects with national collections. Current initiatives focus on digital heritage and community-engaged scholarship within the School of Art & Design framework.

Ehsan Abbasnejadمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Natural Language Processing
• +۳ مورد دیگر

Dr. Ehsan Abbasnejad is an Associate Professor at Monash University's Department of Data Science and Artificial Intelligence, and holds adjunct positions at the Australian Institute for Machine Learning (AIML, University of Adelaide) and the Centre for Augmented Reasoning (CAR). He specializes in foundational AI, focusing on vision-language tasks, adversarial machine learning, and reinforcement learning. His work bridges theory with real-world applications in agriculture, energy, healthcare, and sports. Education: PhD in Computer Science from Australian National University (ANU). Research Interests: Machine Learning Theory and Adversarial Defenses Neural Network Robustness and Generalization Multimodal Learning (Vision-Language) Continual and Transfer Learning Applications in Energy, Healthcare, and Robotics Awards: Finalist for Australian AI Academic/Researcher of the Year (2024) Multidisciplinary competition wins (e.g., OzMineral Explorer Challenge) Advising & Grants: Australian Research Council (ARC) Discovery Project on Reinforcement Learning CSIRO's Next Generation Graduate Fund Accepting PhD students in foundational AI and applications Labs & Teams: Director of Foundational Machine Learning & Reasoning at Monash, leading global teams in AI competitions and industry collaborations (Microsoft Research, NEC Labs America).

Florian 'Floyd' Muellerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Interaction Design
• Game Design
• +۱۷ مورد دیگر

Floyd Mueller is a Full Professor of Future Interfaces in the Department of Human Centred Computing at Monash University, where he also directs the award-winning Exertion Games Lab. His work bridges human-computer interaction, interaction design, and game and play design, with a focus on bodily engagement and physical activity through technology. He has held prior academic and research positions at RMIT University, the University of Melbourne, and CSIRO, and has been affiliated with elite institutions such as Stanford University, MIT Media Lab, and Microsoft Research Asia. PhD in Interaction Design – University of Melbourne (2011) MS in Media Arts and Sciences – Massachusetts Institute of Technology (2002) Diplom-Informatiker (Medieninformatik) – Hochschule Furtwangen (2000) BSc in Multimedia – Griffith University (1999) Floyd Mueller’s research centers on human-computer interaction with a strong emphasis on bodily interactions, exertion interfaces, and playful technologies. His work explores how digital systems can support physical activity, human values, and novel forms of expression through games, wearables, augmented reality, and immersive experiences. He employs methodologies such as design ethnography, autoethnography, and Research Through Design to investigate the phenomenology of human-computer integration. His recent publications (2024–2025) reflect a continued focus on the future of bodily interfaces, including lucid dream mediation, extended reality for fear reduction in water, sonic gastronomy, and shared bodily control in augmented human systems. These works are published in top-tier venues like CHI and Human-Computer Interaction journal, highlighting trends toward immersive, sensory-rich, and human-centered computing that challenge traditional boundaries between body and machine. His scientific awards include being an inaugural honouree of the Australian Design Honours, receiving 9 Best Paper Honorable Mentions and 2 Best Papers at CHI and CHI PLAY, and being recognized as a Fulbright Visiting Scholar and Microsoft Research Asia Fellow. His games have been featured by BBC, ABC, Discovery Science Channel, and New Scientist, and won a Media Star Award. Floyd Mueller actively supervises PhD students through the Exertion Games Lab and Supervisor Connect platform. He has secured major research grants, including Australian Research Council Discovery and Linkage Projects. His current projects include Advancing Australia’s hospitality industry through interactive food and Designing digital aquatic play to foster Australians' engagement with water . He also serves as associate editor for IMWUT and IJHCS, co-founded the CHI PLAY conference series, and was general co-chair for CHI PLAY’18 and CHI’20. He leads the Exertion Games Lab, an interdisciplinary research team focused on inventing the future of bodily play. The lab investigates how technology can support active lifestyles through exertion games, wearables, drones, and immersive environments. The lab’s work spans design, prototyping, user studies, and real-world deployment, often in collaboration with chefs, athletes, and underwater explorers.

Susan Hansenمشاهده پروفایل

مدرس ارشد

• Human-Centred Design
• Inclusive Digital Experiences
• User Experience (UX) Design
• +۳ مورد دیگر

Susan Hansen is an Honorary Senior Lecturer at the School of Computing, The Australian National University (ANU), and serves as the Human Centred Design Practice Lead in Information Technology Services at ANU. Her work focuses on designing inclusive digital experiences, aligning with ANU’s Digital Master Plan. She has extensive experience in human-centred design, spanning roles at CSIRO, consulting agencies, start-ups, and universities across Asia, South Africa, and Australia. Education: Bachelor of Science (Psychology), University of New South Wales Bachelor of Social Science and Policy (Honours 1), University of New South Wales PhD in Interaction Design, University of Technology Sydney Research Interests: Susan advocates for culturally tailored approaches to design, emphasizing engagement with diverse communities. Her expertise spans user-centered design methodologies, cross-cultural design practices, and the intersection of technology and social policy. Awards/Grants: No awards or grants explicitly listed in the provided text. Advising & Labs: No advising details or lab affiliations mentioned.