Find Academic Supervisors

Yasutaka FurukawaView profile

Associate Professor

• Computer Vision
• 3D Reconstruction
• Neural Networks
• +5 more

Yasutaka Furukawa is a Principal Scientist at Wayve and an Associate Professor of Computing Science at Simon Fraser University (SFU). He leads the SFU Visual Computing Group, ranked 12th globally in Computer Vision and Graphics. His research focuses on 3D reconstruction, neural networks, and computer graphics, with notable contributions in multi-view stereo, CAD modeling, and diffusion models. Furukawa holds a Ph.D. from the University of Illinois at Urbana-Champaign (2008) and has held roles at Washington University in St. Louis, Google, and the University of Washington. Education: Ph.D., Computer Science, UIUC, 2008 Postdoctoral Research, University of Washington (with Prof. Steven Seitz and Brian Curless) Research Interests: Furukawa’s work bridges computer vision and graphics, emphasizing robust 3D reconstruction techniques. His projects include PuzzleFusion++ (diffusion-based fracture assembly), BrepGen (B-rep CAD generation), and HouseDiffusion (floorplan synthesis). He explores applications in autonomous systems, AR/VR, and robotics. Key Projects: Generative Adversarial Networks for architectural design (House-GAN series) Neural networks for inertial navigation (RoNIN) Diffusion models for spatial puzzles and CAD modeling Awards: Recipient of the PAMI Longuet-Higgins Prize (2020), NSF CAREER Award (2015), and multiple Google Faculty Research Awards. Teaching: Courses include CMPT412 Computer Vision and CMPT762 Advanced Computer Vision at SFU. Active in supervising over 30 graduate students and postdocs.

Paul TopracView profile

Teaching Professor

• Game Design
• Educational Technology
• Behavioral Science
• +3 more

Dr. Paul Toprac is a Teaching Professor and Associate Director of the Game Development and Design Program at the University of Texas at Austin, where he also leads the SAGA Lab as Principal Investigator. His roles include academic instruction and research in game design, with a focus on learning, motivation, and behavioral change through digital tools. He has produced over 200 student games/apps and developed AR/VR experiences for research and public engagement. Previously, he served as Graduate Committee Chair at SMU Guildhall and Executive Director of the Austin Technology Council. With over 20 years in the software industry, he has held roles from CEO to consultant and founded a successful software development company in the 1980s. Toprac's research emphasizes leveraging games for health and cognitive applications, including digital solutions for early detection of cognitive impairment and heart failure self-management. His work integrates multidisciplinary collaboration and innovative technology to address societal challenges in education and healthcare. Publications highlight his contributions to interactive media in healthcare, game psychology, and educational technology. His SAGA Lab focuses on creating impactful tools such as dashboards and visualization software to advance research and public understanding.

Lisa BlalockView profile

Professor

• Visual Working Memory
• Spatial Cognition
• Cognitive Psychology
• +3 more

Lisa Blalock serves as Professor and Chair of the Department of Psychology within the Usha Kundu, MD College of Health at the University of West Florida. Her academic home is Building 41, Room 253, where she leads the Visual Cognition Lab. Her educational background includes a B.S. in Psychology from the University of Central Florida and Ph.D. in Cognitive Psychology from Colorado State University. These foundations support her expertise in visual information processing. Dr. Blalock's research centers on visual and spatial working memory mechanisms , examining how humans encode, maintain, and retrieve visual information. Her work bridges basic cognitive processes with real-world applications like driving safety and training systems. Key interests include the interaction between visual working memory and attentional systems, the role of long-term memory in short-term processing, and how expertise development affects cognitive performance. Her lab actively investigates how familiarity with stimuli enhances memory consolidation and how cognitive load impacts situational awareness. Analysis of her recent publications reveals strong continuity in visual working memory research with expanding applications to educational technology and human factors. Her work increasingly integrates crossmodal cues and practical training systems while maintaining rigorous experimental cognitive methodology. Dr. Blalock mentors undergraduate students through hands-on research experiences in the Visual Cognition Lab, emphasizing practical skill development. Her teaching portfolio includes Research Methods I, Professional Development in Psychology, Memory & Cognition, and Sensation & Perception courses that bridge theoretical knowledge with applied practice. The Visual Cognition Lab focuses on how humans process and represent visual information, particularly examining object memory in short-term systems and how attentional and long-term memory processes influence these representations. The lab provides opportunities for student involvement through volunteering and study participation.

Sharif Mohammad Shahnewaz FerdousView profile

Associate Professor

• Virtual Reality
• Augmented Reality
• Game Development
• +1 more

Sharif Mohammad Shahnewaz Ferdous is an Associate Professor of Computer Science at the Department of Computer Science , School of Science , The College of New Jersey . His research focuses on Virtual Reality (VR) , Augmented Reality (AR) , Game Development , and Interactive Computer Graphics . Education: PhD in Computer Science, University of Texas, 2018 His work explores the intersection of VR/AR with medical rehabilitation , including studies on postural stability , cybersickness , and disability simulation . He has published extensively in IEEE and ACM venues, focusing on VR for persons with balance impairments , Parkinson’s disease , and Multiple Sclerosis . Recent publications highlight his research trends in VR accessibility , rehabilitation technology , and VR-induced cognitive effects . Notably, he developed a web application for cybersickness data organization and investigated context dependency in VR memory tasks . Prof. Ferdous has secured significant funding through NSF grants (2021–2023), including $174,835 for studying VR sickness in children . His professional service includes leadership roles in TCNJ’s Honors and Scholars Council and participation in interdisciplinary research initiatives.

Marianne PateraView profile

Senior Lecturer

• 3D Animation
• 3D Printing
• Visual Storytelling
• +7 more

Dr. Marianne Patera is a Senior Lecturer in Animation at Manchester Metropolitan University's School of Digital Arts. With over 15 years of higher education experience, she supervises postgraduate dissertations and PhD theses while maintaining a practice-based research focus. Senior Lecturer in Animation PhD in Art & Design from Glasgow School of Art MPhil in Advanced 2D/3D Motion Graphics Her research bridges 3D animation, VR, and color theory with applications in education and cross-disciplinary fields: 3D visualization for learning VR environments for creative writing Automotive interface design Cultural identity in digital art Scientific awards include: Senior Fellow of the Higher Education Academy (SFHEA) As a practitioner, she produces commercial animations for: Architectural visualization Medical imaging Interactive simulations VR game environments Current collaborations span computer science, psychology, engineering, and medicine. Her business ventures include 3D design and printing services.

• Extended Reality
• Machine Learning
• Augmented Reality
• +3 more

Ying Chen is an Assistant Professor in the Department of Information Technology at the College of Computing and Software Engineering, Kennesaw State University. Her research integrates extended reality (XR) and machine learning to develop intelligent AR/VR systems that leverage environmental sensing and user behavior modeling for immersive, personalized experiences. Education: Ph.D. in Electrical and Computer Engineering, Duke University (2024) M.S. and B.Eng., Beijing University of Posts and Telecommunications (2019, 2016) Research Focus: Dr. Chen pioneers adaptive XR systems, SLAM optimization, and edge-assisted computing. Her work addresses resource constraints in mobile VR/AR through predictive modeling and machine learning, enhancing real-time interactions and system efficiency across IoT environments. Publication Trends: Recent works demonstrate strong emphasis on pose estimation algorithms, edge-AI integration for XR, and efficient data acquisition methods. Her publications consistently bridge theoretical models with practical implementations in mobile and embedded systems. Awards: ACM/IEEE IPSN 2024 Best Artifact Runner-up NSF Athena 2023 Best Poster Runner-up Google Networking Research Summit & EECS Rising Stars invitee (2023) Multiple IEEE INFOCOM Travel Grants Duke ECE Diversity Fellowship (2019) Mentoring & Service: Actively advises 17+ students across academic levels, serves on technical committees (CPS-IoT 2025, IEEE ICCCN 2024), and reviews for top journals (IEEE Transactions on Mobile Computing) and conferences (ACM SenSys, MobiCom). Lab Affiliations: Previously affiliated with Duke University's Intelligent Interactive Internet of Things Lab under Prof. Maria Gorlatova.

Hyunkook LeeView profile

Professor

• Psychoacoustics
• Spatial Audio
• Virtual Reality
• +5 more

Hyunkook Lee is a Professor of Audio and Psychoacoustic Engineering at the University of Huddersfield , where he directs the Applied Psychoacoustics Lab (APL) and the Centre for Audio and Psychoacoustic Engineering . He joined the university in 2010 and has pioneered research in 3D audio, spatial recording, and psychoacoustic applications in virtual reality. Education: PhD in Psychoacoustics (University of Surrey, 2006) Industry Experience: Senior Research Engineer at LG Electronics Research Interests include: Psychoacoustics : Perception of height in 3D audio and interchannel crosstalk. Spatial Audio : Development of microphone arrays, panning, and upmixing techniques. Virtual Reality : Bridging XR and audio engineering for immersive experiences. Music Technology : Applications in commercial rap production and surround sound. Scientific Awards : 5 US-granted patents h-index of 14 (Scopus) Advising & Grants : Actively supervises PhD students and participates in industry-funded projects with Samsung, Volvo, and MagicBeans. His research includes a £326k grant for 3D sound in the 'Audience of the Future'.

• Human-Computer Interaction
• Artificial Intelligence
• Machine Learning
• +7 more

Dr Christopher Norval is a Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, actively contributing to research and teaching in Computing Science. He is currently accepting PhD students and is deeply involved in interdisciplinary research focusing on the ethical and societal implications of emerging technologies. His research interests span Human-Computer Interaction , Artificial Intelligence , Machine Learning , Knowledge and Information Systems , and Applied Computing , with a strong emphasis on ethics, transparency, and accountability. His work investigates how users interact with algorithmic systems, IoT devices, and AI services, advocating for user-centric design and regulatory compliance. The analysis of his recent publications (2020–2024) reveals a consistent focus on transparency in algorithmic systems , auditable XR environments , data rights in IoT , and consent automation . His research bridges technical innovation with legal and ethical frameworks, particularly GDPR and privacy-by-design principles, contributing to both academic discourse and practical system development. Scientific Awards: No awards listed in the provided text. Dr Norval has supervised or collaborated on multiple research projects, often with Jatinder Singh and other colleagues, though specific student names are not listed. He has contributed to research on privacy in tech startups, decentralized data processing, and ethical AI, suggesting involvement in grant-funded or collaborative initiatives. His teaching includes the course Data Mining and Visualisation (JC3503) , reflecting his expertise in data analytics and visualization. While no specific lab or research team is named, his publication pattern indicates active participation in a research group focused on responsible computing, likely within the School of Natural and Computing Sciences.

• Augmented Reality
• 3D Modeling
• IoT (Internet of Things)
• +3 more

Vincenzo Armandi is a Research Fellow at the University of Bologna, affiliated with both the Department of the Arts and the Department of Computer Science and Engineering. His work bridges computer science and applied technology, focusing on augmented reality (AR), IoT systems, and interdisciplinary applications. Research interests include: - 3D modeling integration in extended reality platforms - AI-driven AR systems for wine recognition and fitness assistance - Mixed reality collaboration tools for industrial environments - User-centric IoT service composition via visual programming interfaces Recent publications (2021-2025) demonstrate a focus on: • AR/VR applications in cultural, health, and manufacturing contexts • IoT infrastructure design with end-user programmability • User experience evaluation in digital musical experiences No scientific awards or grants are explicitly mentioned. Advising information is unavailable.

• Human-Computer Interaction (HCI)
• Computer Vision
• Deep Learning
• +6 more

Yue Jiang is an incoming Assistant Professor at the University of Utah (Fall 2025) and is currently finishing her Ph.D. at Aalto University and the Finnish Center for Artificial Intelligence (FCAI). Her research focuses on human-centered technologies in HCI, computer vision, and deep learning, particularly in computational user interface understanding, eye tracking, and adaptive GUI layouts. She has held visiting roles at Carnegie Mellon University (CMU) and collaborated with institutions in Canada and the UK. She serves on program committees for CHI, VL/HCC, and IUI, and has organized computational UI workshops at CHI conferences. Education: Ph.D. in Intelligent Systems (Aalto University & FCAI, 2025) Visiting Ph.D. Student (CMU, 2024) M.Sc. in Computer Science (University of Maryland, 2020) B.Sc. in Computer Science (University of Toronto, 2018) Research Interests: Yue explores computational representations of UIs, human behavior modeling via eye tracking and motion capture, and adaptive interfaces. Her work bridges HCI, computer vision, and machine learning to enhance human capabilities through AI-driven systems. Awards: Meta Research PhD Fellowship (2023–2025) Heidelberg Laureate Forum Young Researcher (2024) Google Europe Students with Disabilities Scholarship (2022) Advising & Grants: Yue mentors students in areas like multimodal generative AI and seeks researchers for her group. She has received grants from FCAI, Adobe Research, and the National Science Foundation. Labs & Collaborations: Active in the Computational Behavior Lab (Aalto) and BIG Lab (CMU), she collaborates on projects like OR-Constraints for adaptive GUIs and graph-based UI modeling.

Megan ReissmanView profile

Associate Professor

• Biomechanics
• Rehabilitation Engineering
• Motor Control
• +7 more

Megan Reissman is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton, School of Engineering. She is a full-time faculty member actively engaged in research and teaching in biomechanics and rehabilitation engineering. Education: Ph.D., Mechanical Engineering, Northwestern University M.Eng., Mechanical Engineering, Cornell University B.S., Mechanical Engineering, Cornell University Her research focuses on understanding and enhancing human movement, particularly in individuals with neurological impairments such as stroke or spinal cord injury. She employs experimental biomechanics, virtual reality, and wearable sensor technologies to assess and improve gait and balance. Her work seeks to develop devices that challenge abnormal movement patterns and deliver real-time visual feedback to promote motor learning. The recent publications highlight a strong trend in using virtual reality, exoskeletons, and auditory/visual feedback systems to study gait mechanics, motor control, and rehabilitation strategies across various populations, including post-stroke patients, spinal cord injury survivors, and healthy adults under load or hypoxic conditions. The integration of engineering principles with clinical rehabilitation is a consistent theme. Scientific Awards: Kern Entrepreneurial Engineering Network Faculty Fellow, University of Dayton, 2017 Sarah Baskin Award for Excellence in Rehabilitation Research, Rehabilitation Institute of Chicago, 2014 Searle Center Teaching Assistant Fellow, Northwestern University, 2012 Dr. Reissman advises student projects, particularly in capstone design and experimental mechanics. She teaches courses such as Engineering Experimentation (MEE 341), Engineering Analysis (MEE 460), and Multidisciplinary Design II (MEE 432L). While specific grant funding is not detailed, her research output and awards suggest active involvement in funded projects related to rehabilitation technology and engineering education. She is also engaged in advancing pedagogical methods, particularly in fostering entrepreneurial mindset through scaffolded learning in mechatronics. Her lab likely involves interdisciplinary collaboration with health sciences and rehabilitation specialists, utilizing facilities such as motion capture systems, instrumented treadmills, and wearable inertial sensors for data collection and analysis.

Marzan Tasnim OyshiView profile

Researcher

• Immersive Visualization
• Virtual Reality
• Augmented Reality
• +12 more

Marzan Tasnim Oyshi is a Research Associate at the Leibniz Institute of Ecological Urban and Regional Development (IOER) and a Doctoral Candidate at the Chair of Computer Graphics and Visualization, Technische Universität Dresden, Germany. Her research focuses on immersive visualization, virtual reality, and data-driven decision-making for sustainability and environmental challenges. Education: Master of Science in Computer Science & Engineering, Daffodil International University, Bangladesh (2017–2019) Bachelor of Science in Computer Science & Engineering, Daffodil International University, Bangladesh (2013–2016) Erasmus Mundus Undergraduate Mobility Exchange, Information Technology, Lodz University of Technology, Poland (2015–2016) Her research interests include immersive visualization, virtual reality, IoT, machine learning, and environmental data analytics . She develops tools that support decision-making in climate resilience, flood risk, and urban sustainability using VR-based visual analytics. Her work bridges computer science with real-world environmental and societal challenges. The recent publications demonstrate a strong trend in immersive data visualization for environmental science and machine learning support . Oyshi’s work applies VR to visualize extreme weather, flood projections, and biological datasets, while also contributing to IoT-based monitoring and gamified education. The interdisciplinary nature of her research spans computer vision, sustainability, and human-computer interaction. Scientific Awards and Scholarships: 300 Army Scholarship (2017) Erasmus Mundus UG Mobility Scholarship (2015) Government District-Level Scholarship (2010) Best Debater, Transparency International Bangladesh (2010) Multiple Government Academic Scholarships (2005, 2008) Oyshi has actively contributed to academic advising, having supervised 2 Master’s theses, 2 Bachelor’s theses, 3 team projects (15 students), and 9 Hauptseminar students . She has also served as a reviewer for prestigious conferences including CHI, IEEEVIS, and ICAITA. Her research is supported by institutional affiliations with IOER and ScaDs.AI, focusing on systemic sustainability and data science. She is a key member of the Leibniz-Lab 'Systemic Sustainability' , where she contributes to developing dashboards that communicate science-society challenges related to climate change, biodiversity loss, and food security. Her projects like ExtremeWeatherVis, FloodVis, and VRCellLabeler exemplify her commitment to creating immersive, interactive tools for complex data understanding.

Silvia RossiView profile

Researcher

• Immersive Multimedia Systems
• Extended Reality (XR)
• User Behavior Analysis
• +3 more

Dr. Silvia Rossi is a postdoctoral researcher in the Distributed and Interactive Systems (DIS) group at Centrum Wiskunde & Informatica (CWI) in the Netherlands. Her work focuses on user behavior analysis and system design for immersive multimedia systems like volumetric video in Extended Reality (XR) applications. She earned her PhD from University College London (UCL) in the Learning and Signal Processing (LASP) group , where she developed clustering algorithms to analyze user navigation patterns in VR systems. Her research bridges human-centric behavioral studies with technical solutions for Quality of Experience (QoE) in 6-DoF VR platforms. Recent work presented at conferences like IEEE VR and ACM Multimedia explores how spatial constraints affect user movement, open-source social VR systems ( VR2Gather ), and behavioral data collection tools. She co-organizes key events like the Spring School on Social XR and chairs QoMEX 2025 sessions. Scientific Recognition: 2023 ACM SIGMM Award for Outstanding PhD Thesis 2022 Lombardi Prize for best UCL EEE doctoral thesis Dr. Rossi's publications highlight trends in XR user modeling , adaptive streaming , and social VR design , with keywords spanning computer science , human-computer interaction , and multimedia engineering . She collaborates extensively with researchers like Pablo Cesar and Irene Viola , and contributes to open-source frameworks in immersive communication.

Kuno KurzhalsView profile

Research Fellow

• Data Visualization
• Eye Tracking
• Visual Analytics
• +3 more

Kuno Kurzhals is a Research Fellow at the Institute for Visualization and Interactive Systems (VISUS) of the University of Stuttgart , affiliated with the Cluster of Excellence IntCDC . His work focuses on video visualization , eye tracking evaluation , and visual analytics for dynamic data. Research Interests : Video visualization, eye tracking, human-computer interaction, spatio-temporal analysis, and immersive environments. Recent Trends : Publications emphasize collaborative gaze analysis in AR/VR, mobile eye-tracking data processing, and gaze-adaptive interfaces. Key subfields include non-negative matrix factorization , user behavior in immersive systems , and evaluation of visualization literacy . Collaborative Work : Co-author in studies on projection displays for group gaze , collaborative molecular learning , and manufacturing process monitoring . Technical Focus : Innovations in fixation-image charts , gaze spiral visualization , and AOI transition trees for analyzing eye movement patterns. Applications : Tools developed for dance choreography planning , music practice reflection , and public transport map analysis . Labs & Teams : Affiliated with the Weiskopf Group at VISUS, contributing to the Cluster of Excellence IntCDC . Collaborates with researchers like Daniel Weiskopf , Maurice Koch , and Nelusa Pathmanathan on interdisciplinary projects.

• Human-Computer Interaction
• Machine Learning
• Sonic Interaction Design
• +3 more

Dr. Baptiste Caramiaux is a researcher at Goldsmiths, University of London specializing in human-computer interaction and machine learning applied to musical expression. He serves as a key member of the Computing department and has made significant contributions to sonic interaction design and gesture recognition. Major Research Themes: Machine learning for musical gestures Expressive human-computer interaction Sonic affordances and memory EMG/MMG sensing in performance Archaeological VR interfaces His 15 most recent publications (2013–2018) demonstrate expertise in gesture variation analysis, motion modeling, and algorithmic composition. Notable collaborative works include co-editing the NIME 2014 Proceedings and developing the Gesture Variation Follower algorithm for immersive archaeological interaction.