Find Academic Supervisors

• Computer Vision
• Metric Learning
• Image Generation
• +3 more

Dr. Xinyu Zhang is a Research Fellow at the Australian Institute for Machine Learning (AIML), University of Adelaide's Faculty of Sciences, Engineering and Technology. Her research bridges computer vision and machine learning, focusing on image/video generation, self-supervised learning, and multimodal retrieval for human-centric AI applications. Zhang's current investigations include: Causal representation learning and multimodal integration Bayesian deep learning frameworks Video generation with temporal consistency Lightweight detection transformers Unsupervised person re-identification Analysis of recent publications reveals strong emphases on generative modeling innovations (especially video synthesis), efficient transformer architectures for real-time applications, and self-supervised representation learning. Her work frequently addresses the alignment between latent representations and human perception across vision-language tasks. Dr. Zhang co-supervises graduate students on projects involving multi-agent 3D scene generation and knowledge transfer in low-supervision learning. She serves as conference reviewer for premier venues including CVPR, ICCV, and NeurIPS, contributing to the advancement of computer vision research.

Feras DayoubView profile

Senior Lecturer

• Robotics
• Computer Vision
• Machine Learning
• +2 more

Dr. Feras Dayoub is a Senior Lecturer and Chief Investigator at the QUT Centre for Robotics (QCR) , where he co-leads the Visual Learning and Understanding program. He previously served as Chief Investigator at the ARC Centre of Excellence for Robotic Vision (2016-2020) and holds a PhD in Robotics and Computer Vision from the University of Lincoln. Research Focus: Deploying computer vision and machine learning for real-world mobile robotics applications, including autonomous weed control (CRC-P), vision-enabled underwater robots for reef protection (COTSbot/RangerBot), and UAV-based infrastructure inspection. Teaching: Coordinates advanced robotics topics (EGB439) and teaches microprocessor systems (CAB202). His recent publications focus on uncertainty quantification in robotic vision, open-set recognition, and performance monitoring of deployed models. His work has been recognized with multiple awards from the Australian Centre for Robotic Vision and a Google Impact Challenge popular vote award. 2023: Hyperdimensional Feature Fusion for Out-of-Distribution Detection 2023: Class Distribution Shift Prediction for Domain Adaptation 2022: Uncertainty for Open-Set Error Identification 2022: FSNet for Semantic Segmentation Failure Detection Awards include: 2020: ACRV Best-Profile Raising Event 2019: QUT STEM Camp Certificate of Appreciation 2016: Google Impact Challenge People's Choice Award 2015: QUT Vice Chancellor's Performance Award As supervisor, he guides projects on robotic object detection, cross-view localization, and continues to advance visual learning methodologies for real-world autonomous systems.

Freya VassView profile

Lecturer

• Cognitive Dance and Theatre Studies
• Postdramatic Physical Theatre
• Visuo-Sonority and Scenography
• +6 more

Dr. Freya Vass is a Lecturer in Drama and Theatre at the University of Kent, specializing in dance, physical theatre, and interdisciplinary cognitive studies. She previously taught at institutions including the University of California Riverside and Frankfurt University of Music and Performing Arts. Her research explores intersections between postdramatic dance, cognitive science, and sensory perception. BA in Linguistics & Cognitive Science (UCLA) PhD in Dance History and Theory (UC Riverside) Her research focuses on cognitive approaches to dance-theatre, visuo-sonority in contemporary performance, and the metacritical dialogue between dance and scientific research. She founded the Kent Embodied Research Collective to foster cross-disciplinary collaboration. Her publications examine William Forsythe’s choreographic methodology, dance aging, and somatic dramaturgy. She emphasizes choreographic literacy and audience cognitive engagement in postdramatic works. Barbara Morris Prize for Learning Support (2016) Senior Fellow of the Higher Education Academy (SFHEA) She has co-supervised PhD projects on Sanford Meisner’s actor training, somatics in early modern texts, and affective dramaturgy. She collaborates with choreographers like David Dawson and the Corpus experimental ensemble.

Eve KleinView profile

Associate Professor

• Music Technology
• Classical Music
• Interactive Performance Art
• +5 more

Dr. Eve Klein is an Associate Professor and Senior Lecturer in Music Technology and Popular Music at The University of Queensland (UQ) School of Music. She leads a research cluster in interactive composition, focusing on virtual/augmented reality works and guiding postgraduate composers. Her work bridges classical music traditions with digital innovation, addressing themes like gender in technology, identity, and participatory cultures. Dr. Klein holds a PhD in Music and Sound and has pioneered immersive art music experiences for festivals such as MONA FOMA and VIVID Sydney. Her artistic works include Vocal Womb (a laryngoscopy-based opera exploring voice and power) and City Symphony (an AR soundwalk overlaying Brisbane’s CBD). She is a recipient of the 2023 Art Music Award for Experimental Practice and the IASPM 2016 Open Publication Prize. Her research spans music technology curriculum design, future work skills in the arts, and epistemic fluency through transdisciplinary collaboration. She co-founded the Touch Ensemble, a technology-focused performance group collaborating with engineering students. Dr. Klein’s work frequently addresses social justice themes, including gendered violence and climate change. Education: PhD in Music and Sound Awards: 2023 Art Music Award, IASPM 2016 Prize, UQ Program Innovation Award Her articles critically examine virtual orchestras’ impact on classical norms, while her creative works challenge traditional performance boundaries. Klein collaborates internationally with festivals, scientists, and NGOs to create transformative cultural projects.

Sandra WaxmanView profile

Professor

• Developmental Psychology
• Cognitive Development
• Linguistic Development
• +3 more

Sandra Waxman is a Professor of Cognitive Psychology and holds the Louis W. Menk Chair in Psychology at Northwestern University. She is an IPR Fellow, leading research at the intersection of developmental science, cognitive psychology, and cultural studies. Her work focuses on how infants and young children acquire language and conceptual knowledge across linguistic and cultural contexts. She directs the Infant and Child Development Center, exploring cross-linguistic development in languages like English, Mandarin, and Spanish, as well as cultural influences on understanding human-nature relationships. Her research bridges disciplines, emphasizing the interplay between language and cognition. Collaborations include projects with Native American communities and Argentina’s CONICET. Waxman’s studies reveal how early language shapes cognitive development and how cultural frameworks influence children’s reasoning about the natural world. She also investigates how infants integrate sensory and linguistic information to form concepts, with implications for education and policy. Waxman’s contributions span over 200 publications, addressing topics like infant categorization, bilingualism, and the role of context in learning. Her work underscores the universality and diversity of developmental processes, advocating for interdisciplinary approaches to understand childhood cognition. She actively engages with policymakers through IPR, translating research into strategies that support early childhood development.

• Computer Vision
• Artificial Intelligence
• Multimodal Learning
• +4 more

Ke Yan is an Associate Professor in the Department of Computer Science at the National University of Singapore's College of Design and Engineering. With extensive research output from 2021-2026, their work spans computer vision, artificial intelligence, and multimodal learning systems. National University of Singapore (Primary Affiliation) Collaborations with University of Electronic Science and Technology of China Research ties with Tencent Youtu Lab in Shanghai Research focuses on advancing computer vision techniques, particularly in medical image analysis, vision-language integration, and fault diagnosis systems. Their work bridges theoretical AI development with practical applications in healthcare, industrial systems, and environmental monitoring. Notable contributions include novel approaches to multimodal learning, medical image segmentation with sparse annotations, and improving reliability of large vision-language models. Recent publication trends (2024-2026) demonstrate increasing focus on multimodal systems, with significant contributions to vision-language model reliability, medical AI applications, and efficient transfer learning techniques. Their work frequently addresses critical challenges like hallucination mitigation in large models and sparse data scenarios in medical imaging. As an advisor, they mentor multiple researchers including Junlong Du, Shouhong Ding, and Zhiwen Lin, with whom they frequently collaborate on cutting-edge computer vision projects. Their research group maintains strong industry connections, particularly with Tencent's AI research division. The research is conducted within NUS's computer vision and AI research ecosystem, collaborating with multiple laboratories focused on multimodal intelligence and practical AI deployment in real-world systems.

Isabella Anderson-WagnerView profile

Assistant Professor

• Neuroscience
• Cognitive Science
• Microbiome Studies
• +3 more

Isabella Anderson-Wagner is an Assistant Professor at the University of Vienna, affiliated with the Faculty of Psychology and the Centre for Microbiology and Environmental Systems Science (CeMESS). Her work focuses on the intersection of brain function, cognition, and gut microbiome interactions, with an emphasis on neural plasticity, learning, and memory formation. She uses advanced neuroimaging techniques like MRI and spectroscopy to explore these processes. Research Interests: Her research investigates how the gut microbiome influences neural plasticity and memory, particularly through studies involving humans and comparative analyses with animals like dogs. Key areas include stress effects on prosocial behavior, the role of microbiome in neurodegenerative risks (e.g., dementia), and the development of mnemonic training strategies like the method of loci. Funding & Awards: She has received prestigious grants, including the Cortex Prize (2023), Young Investigator Grant (Brain & Behaviour Research Foundation, 2023), and Veni Grant (Dutch Research Council, 2020). Her work is funded by projects such as MemoryLane (2025–2030) and The Social Grid (2021–2024). Labs & Teams: Her lab is part of the Vienna Cognitive Science Hub, focusing on interdisciplinary approaches to cognitive and microbial neuroscience. Collaborations span institutions globally, with studies on topics like microbiome-brain interactions and canine cognition.

Mitchell PryorView profile

Research Professor

• Robotics
• Automation
• Nuclear Engineering
• +4 more

Mitchell Pryor is a Research Professor in the Department of Nuclear and Radiation Engineering at the University of Texas at Austin. He specializes in applied robotics and automation, particularly in hazardous environments such as nuclear facilities, energy sectors, and defense applications. Pryor earned his BSME from Southern Methodist University (1993), followed by an MS (1999) and PhD (2002) in Mechanical Engineering from UT Austin. His research focuses on robotics for hazardous environments, including nuclear waste management, autonomous systems, and human-robot collaboration. He leads the Nuclear & Applied Robotics Group (NRG) and co-founded RAPID, an industry affiliate program supporting automation in energy sectors. His work spans robotics in extreme environments, augmented reality interfaces, and task planning frameworks. Key collaborations include Army Futures Command (AFC), NASA, DARPA, and DOE national labs such as INL, LANL, and ORNL. Pryor’s contributions include developing the TeMoto software framework for robotic autonomy, virtual fixture systems, and radiation surveying methodologies. He chairs the ANS Robotics & Remote Systems Division and actively participates in IEEE, ASME, and other professional societies. His research emphasizes interdisciplinary approaches to deploy robotics in complex, uncertain environments for tasks like material handling, mobile manipulation, and environmental monitoring. Notable projects include AR-STAR for real-time robot data modification, MaRMOT for object tracking, and TeMoto 2.0 for task execution formalisms. His work bridges theoretical robotics with practical applications in nuclear safety, energy infrastructure, and defense systems.

Caroline DeLongView profile

Professor

• Comparative Cognition
• Animal Perception
• Visual Cognition
• +2 more

Caroline DeLong is Professor of Psychology at Rochester Institute of Technology's College of Liberal Arts, where she directs the Comparative Cognition & Perception Lab. Her research examines visual and auditory perception across species including river otters, goldfish, dolphins, and primates. Education includes Ph.D. and M.A. from University of Hawaii and B.A. from New College of Florida. Research employs behavioral methods to study object recognition, numerical discrimination, and auditory perception in diverse species. Recent publications focus on visual cognition in aquatic animals and primates, with ongoing studies at Seneca Park Zoo involving river otters and olive baboons. Research methodologies include match-to-sample tasks, sensory enrichment studies, and comparative perception experiments.

• German Philosophy
• Phenomenology
• German Literature
• +16 more

Dr. Jeanne Riou is a Lecturer/Assistant Professor in German at the School of Languages, Cultures and Linguistics, University College Dublin. She has been teaching German language, literature, and cultural theory since 1998, with a strong interdisciplinary approach that integrates philosophy, intellectual history, and literary studies. Her academic affiliations and research are centered at UCD, where she actively contributes to postgraduate supervision and curriculum development. BA, German and Modern English Literature, Trinity College Dublin PhD in German, Trinity College Dublin Doctor in Philosophy, Trinity College Dublin Her research focuses on German philosophy—especially phenomenology and thinkers like Husserl, Merleau-Ponty, and Plessner—and its intersections with literature, aesthetics, and cultural theory. She explores themes such as imagination, relationality, crisis, and subjectivity across the Enlightenment, Romantic, and Modernist periods. Her work often examines how literary and philosophical discourses mediate experience and interpret cultural change. Her recent publications reveal a consistent engagement with continental philosophy and cultural critique, particularly in phenomenological explorations of embodiment and intersubjectivity, as well as critical analyses of ressentiment and political discourse. These works reflect a deep commitment to interdisciplinary scholarship and ethical reflection in turbulent times. Alexander von Humboldt Fellowship for Experienced Researchers DAAD Postgraduate Scholarship A.J. Leventhal Travelling Scholarship Trinity College Postgraduate Scholarship Dr. Riou is actively involved in postgraduate supervision and has served on numerous academic committees, including the DAAD Scholarship Selection Committee and the NUI Subject Specialist Reviewer panel. She has also contributed to public intellectual life through radio engagements and conference organization. She currently leads research projects on theories of crisis and the intellectual history of Antijudaism in German thought. She has played a key role in organizing international conferences, such as the 2002 'Networks. Aesthetics and Technologies of Networking:1800. 1900. 2000' conference co-hosted with Trinity College Dublin and Humboldt University, Berlin. Her leadership in professional associations, including the Alexander von Humboldt Association of Ireland, underscores her active role in the academic community.

Simon BultmannView profile

Researcher

• Collaborative Perception
• Sensor Fusion
• Robot Perception
• +4 more

Dr. Simon Bultmann is currently a Postdoctoral Researcher at the Robot Learning Lab, Albert-Ludwigs-Universität Freiburg. Previously, he completed his Ph.D. in the Autonomous Intelligent Systems Group at the University of Bonn (2019–2024) and earned his M.Sc. and B.Sc. in Electrical Engineering and Information Technology from Karlsruhe Institute of Technology (KIT, 2012–2018). His research focuses on collaborative perception, sensor fusion, and machine learning for embedded systems ("Smart Edge Sensors"). Key applications include real-time multi-modal semantic fusion, 3D scene perception, and autonomous UAVs. Awards: Best Paper Award at IEEE SSRR 2020 Finalist for Best Paper Award at RoboCup 2021 His work spans robotics, computer vision, and distributed systems, with contributions to international conferences like ICRA, RSS, and IAS. He has also been involved in competitions such as MBZIRC, demonstrating autonomous UAV capabilities in disaster response scenarios.

• Comparative Psychology
• Cognitive Psychology
• Motor Planning
• +7 more

Kate M Chapman is a Teaching Assistant Professor in the Department of Psychology within the College of Arts & Sciences at the University of Arkansas. Her academic work bridges cognitive and comparative psychology, with a focus on motor planning and goal-directed behavior in humans and animals. Education: Ph.D., Pennsylvania State University, 2013 M.S., Pennsylvania State University, 2010 B.A., New College of Florida, 2004 Her research investigates how adults, children, and nonhuman animals plan motor actions in anticipation of future goals, particularly during object manipulation and tool use. She explores cognitive planning across species, including primates such as lemurs and tamarins, examining evolutionary roots of motor behavior. She also contributes to pedagogical research in undergraduate psychology education. The recent publications reflect a strong trend in motor cognition, comparative psychology, and action planning. Her work frequently appears in high-impact journals such as Psychological Bulletin , Journal of Experimental Psychology , and Behavioral and Brain Sciences , emphasizing interdisciplinary approaches combining psychology, neuroscience, and evolutionary biology. Scientific Awards: No awards listed in the provided text. Advising and Grants: While no students or grant funding are explicitly mentioned, Dr. Chapman is actively engaged in research and teaching. She mentors students through her research in comparative motor planning and contributes to academic development via her instruction in core psychology courses such as Research Methods, Cognitive Psychology, and Comparative Psychology. Labs and Teams: Though specific lab names or research teams are not mentioned, her research activities suggest involvement in cognitive and comparative psychology research groups at the University of Arkansas, likely collaborating with experts in motor behavior, animal cognition, and educational psychology.

Ravin BalakrishnanView profile

Professor

• Human-Computer Interaction
• Interactive Computer Graphics
• Information and Communications Technology for Development
• +3 more

Ravin Balakrishnan is a Professor in the Department of Computer Science at the University of Toronto, where he co-directs the Dynamic Graphics Project (DGP) laboratory. He served as department chair from 2015-2019 and holds a Canada Research Chair in Human-Computer Interaction. His research focuses on developing novel interaction techniques for emerging technologies. His primary research interests include: Human-Computer Interaction (HCI) with emphasis on gesture recognition and tangible interfaces Interactive computer graphics and 3D interaction techniques Information and communications technology for developing regions Novel input devices and interaction paradigms for VR/AR systems Balakrishnan's recent publications demonstrate strong focus on multimodal interaction systems, with recurring themes in haptic feedback, gesture-based controls, VR/AR interfaces, and mobile interaction techniques. His work frequently bridges theoretical models with practical applications in real-world systems. His significant honors include: Elected to ACM CHI Academy (2011) Alfred P. Sloan Research Fellowship (2007) Canadian Human Computer Communications Society Achievement Award (2020) Multiple best paper awards at top HCI conferences (CHI, UIST, CSCW) Balakrishnan has advised over 40 graduate students and postdoctoral fellows, maintaining an active research group at the Dynamic Graphics Project lab. His work has been supported by grants from NSERC, SSHRC, and industrial partners, with research commercialized through several startups including Bump Technologies (acquired by Google). He collaborates internationally with research labs including Microsoft Research, INRIA, and Mitsubishi Electric Research Laboratories, and has served as program chair for major conferences including ACM UIST and Graphics Interface.

Dieter HofmannView profile

Professor

• Industrial Design
• Product Design
• System Design
• +7 more

Dieter Hofmann is a Professor of Industrial Design and Product and Systems Design at the Burg Giebichenstein Art Academy (BURG) in Halle, Germany, where he has been teaching since 2003. He served as the rector of BURG from 2014 to 2022. His academic background includes mechanical engineering studies at the Nuremberg University of Applied Sciences (1988-1993) and capital goods design at the Stuttgart State Academy of Fine Arts (1993-1996). He has international experience as a visiting professor at IDAS Seoul, Korea (1996-1997) and as a professor at the National University of Tsukuba, Japan (1999-2001). His research and teaching focus spans multiple areas of industrial design with particular emphasis on: Human-centered design for everyday objects and spaces Intercultural design approaches Medical device and assistive technology design Sustainable product development Surface and material innovation Hofmann's current work explores unconventional design contexts, most notably his 2025 Summer Semester course "Restroom - Design for the culture of relieving oneself," which examines the cultural, ergonomic, and sustainability aspects of sanitation design. His approach integrates historical, philosophical, psychological, and cross-cultural perspectives to address design challenges that are often overlooked in mainstream product design. His recent publications reflect a trend toward addressing socially relevant design challenges with innovative solutions, particularly in public spaces and healthcare contexts. Hofmann emphasizes the importance of material innovation, user experience, and cultural sensitivity in creating products that serve diverse populations. Hofmann has received recognition through numerous industry collaborations with partners including Toi Toi Dixi (portable sanitation), Medi (medical technology), and GERA Leuchten (lighting design). His work often bridges academic research with practical industry applications. As an advisor, Hofmann has mentored numerous students through complex design projects, guiding them through research, concept development, and prototyping phases. His teaching methodology emphasizes experiential learning through excursions, workshops, and direct industry engagement. Hofmann also operates eDesign, a consultancy that advises companies on intercultural design issues and develops capital goods and products across multiple sectors including public communication, machine tools, medical and laboratory technology, sports equipment, household appliances, and personal care products.

Kartic SubrView profile

Senior Lecturer

• Computer Graphics
• Monte Carlo Rendering
• Physics-based Simulation
• +13 more

Kartic Subr is a Senior Lecturer (equivalent to Associate Professor) in the School of Informatics at the University of Edinburgh, where he conducts research at the intersection of computer graphics, machine learning, and robotics. He is affiliated with the Institute of Perception, Action and Behaviour and leads an active research group in physics-aware simulation and AI for scientific discovery. His research interests span Computer Graphics , Monte Carlo Rendering , Physics-based Simulation , Machine Learning , Robotics , and Computational Biology . He has made significant contributions to rendering theory, light transport analysis, BRDF modeling, and simulation of fluids and fractures. Recently, his group has applied deep learning to protein design, achieving notable success in international competitions. The recent publications reflect a strong trend toward interdisciplinary research, combining computer graphics with AI and biology. Key themes include explainable AI for physics-aware interfaces (e.g., CueTip), neural rendering (NeRF), protein design with CNNs, and reward learning in robotics. His group regularly publishes in top venues such as SIGGRAPH, NeurIPS, and IEEE RA-L. Royal Society University Research Fellowship (2014–2024) Lead, GCRF Impact Accelerator (2019) Lead, EPSRC First Grant (2017) Royal Society Challenge Grant (2016) Royal Society Newton International Fellow (2010) Marie-Curie Visitor (2006) Best Paper Honorable Mention, I3D 2012 Best Paper, I3D 2011 Kartic Subr actively supervises PhD students and postdocs, including Leonardo Castorina, Zhiyuan Zhang, and Kevin Denamganaï. Former students have gone on to positions at DeepMind, University of Edinburgh, and industry. He has secured multiple grants, including from the Royal Society and EPSRC. His research group collaborates across disciplines, particularly with biological sciences on protein design. He leads projects on approximate physics for robotics, protein design via deep learning, and interactive rendering systems. The group has developed frameworks like TIMED for de novo protein design and tools for explainable physics-aware assistants.