Find Academic Supervisors

Jesper KjeldskovView profile

Professor

• Human-Computer Interaction
• Human-Centred Design
• Interaction Design
• +5 more

Jesper Kjeldskov is a Professor in the Department of Human Centred Computing at Monash University. His research focuses on Human-Computer Interaction (HCI), Human-Centred Design, and Sound Systems Design, with particular emphasis on domestic and healthcare applications. He leads studies on sound zone technologies, exploring their use in homes, hospitals, and collaborative environments. His work integrates AI, interaction design, and user-centered methodologies to enhance technology usability and accessibility. Research Interests : Sound Zone Systems in Domestic and Healthcare Settings Human-Centered AI and Interaction Design Wearable Technology and Therapeutic Applications Collaborative Technologies and Group Creativity Smart Home Design and Sustainability Recent Contributions : Published 5 articles in 2023 and 14 in 2022, focusing on sound zone field studies, healthcare acoustics, and smartwatch design. Active in conferences like CHI, Audio Mostly, and INTERACT. Advising & Grants : Accepting PhD students in Telepresence and distance collaboration. His research has been applied to projects like QuittyLink (smoking cessation support) and eco-interaction systems for sustainable energy use. Labs & Teams : Collaborates with interdisciplinary teams on projects involving sound zone visualization, healthcare technology, and AI-driven interaction systems.

Brandon HaworthView profile

Associate Professor

• Computer Graphics
• Artificial Intelligence
• Human-Computer Interaction
• +7 more

Dr. Brandon Haworth is a Tenured Research Stream Associate Professor in the Department of Computer Science at the University of Victoria. He leads the Graphics, Artificial Intelligence, Design, & Games (GAIDG) Lab and is a Research Fellow at the Institute on Aging and Lifelong Health. His research focuses on computer graphics, crowd simulation, multi-agent reinforcement learning, and assistive technologies. He holds a Ph.D. from York University and has been recognized with the Cowie Faculty Innovation Award (2022). Education: B.Sc. (Honours) in Computer Science (York University, 2013), M.Sc. (2016), Ph.D. (2019), and Post-Doctoral Fellow with the Ontario Research Fund/ISSUM project (2019–2020). Research Interests: Graphics, agent-based modeling, crowd simulation, human-centred AI, game design, virtual reality, and assistive healthcare technologies. His work emphasizes interdisciplinary applications in architecture, urban design, and rehabilitation. Notable Contributions: Developed simulation tools like SimService for architectural design analysis, and contributed to gamified motor speech rehabilitation for neurodegenerative diseases. He chairs Graphics at the Graphics Interface Conference (GI ’24) and co-chairs AI in Simulation tracks at ANNSIM 2024. Awards: Cowie Faculty Innovation Award (2022), NSERC Discovery Grant (2021), and CFI infrastructure funding for the GAIDG Lab (2023). Teaching & Service: Teaches 3D Graphics and Rendering Essentials, and serves as Editor-in-Chief of the Canadian Human-Computer Communications Society. Supervised numerous graduate students and postdocs, though specific names are not listed here.

Martin JagersandView profile

Professor

• Robotics
• Computer Vision
• Medical Imaging
• +2 more

Martin Jagersand is a Professor in Computing Science at the University of Alberta, specializing in robotics, computer vision, and medical imaging. His research develops real-time vision systems for robot control in unstructured environments, including assistive technologies and space telerobotics. Key projects include Back2Future-SIM for predictive haptic feedback in teleoperation, quantum models for visual neuroscience with Concetta Morrone, and wheelchair-mounted robotic manipulators for independent living. His work emphasizes applications in healthcare, space exploration, and autonomous systems. He teaches courses like CMPUT 428 (3D Computer Vision) and mentors graduate students in robotics and machine learning. His recent publications focus on data-driven teleoperation and activity analysis for assistive robotics.

David HeinrichsView profile

Professor

• Bacterial Pathogenesis
• Antibiotic Resistance
• Host-Pathogen Interactions
• +2 more

David Heinrichs is a Professor in the Department of Microbiology & Immunology at Western University's Schulich School of Medicine & Dentistry, where he leads the Heinrichs Lab focused on molecular pathogenesis of multi-drug resistant bacteria. His research program investigates nutrient competition at the host-pathogen interface, particularly how Staphylococcus aureus (MRSA) scavenges essential nutrients like iron and amino acids during infection. His educational background includes a PhD from Queen's University, Canada, followed by postdoctoral training at the University of Guelph, Canada. The Heinrichs Lab employs molecular biology, protein biochemistry, and infection models to study bacterial virulence mechanisms, with emphasis on host-pathogen interactions involving macrophages and other immune cells. Research interests center on bacterial pathogenesis, antibiotic resistance mechanisms, host-pathogen interactions, and macrophage biology, with particular focus on how MRSA adapts to nutrient limitation within host cells. His work has revealed key pathways in iron acquisition, amino acid metabolism, and immune evasion strategies employed by staphylococci during infection. Analysis of recent publications shows consistent focus on MRSA pathogenesis with emerging work on viral-bacterial co-infections (including SARS-CoV-2), novel antimicrobial strategies targeting nutrient acquisition, and molecular mechanisms of bacterial persistence in host environments. The research demonstrates strong translational potential for developing new antibacterial therapies targeting virulence rather than growth. The Heinrichs Lab maintains active collaborations with clinicians and researchers globally, investigating clinically relevant staphylococcal pathogens through state-of-the-art imaging and molecular techniques. Current work emphasizes how innate immune cells restrict nutrients from pathogens and how bacteria counter these defenses, with direct implications for understanding persistent and recurrent infections.

Thomas MarrinanView profile

Assistant Professor

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +3 more

Thomas Marrinan is an Assistant Professor of Computer & Information Science at the University of St. Thomas, College of Arts and Sciences. His expertise spans computer graphics, visualization, human-computer interaction, and high-performance computing. He specializes in developing interactive tools for large-scale data analysis, including multi-platform visualization applications like VisAnywhere and immersive virtual reality experiences. His research focuses on bridging gaps between simulation analysis and user interaction through novel interfaces and algorithms. He has pioneered work in 3D Gaussian splatting, real-time image compression, and collaborative environments using 360 panoramas. Marrinan teaches courses such as Intro to Programming & Problem Solving and Web Development, emphasizing practical application of computational concepts. In 2024, his team won the IEEE Scientific Visualization Contest for VisAnywhere, a tool enabling cross-platform scientific visualization. His work spans over two decades, with contributions to scalable resolution displays (SAGE2), GPU-based rendering optimizations, and AI-driven audio generation for video games. He holds a strong commitment to data-intensive collaboration and immersive technologies. Recent projects include developing omnidirectional stereo imaging techniques for VR exploration of large datasets and leveraging AI to enhance user-generated content in interactive media. His research addresses challenges in distributed rendering, real-time data transmission, and improving accessibility to complex scientific datasets.

Gabby ReschView profile

Assistant Professor

• Data Visualization
• Tangible and Embodied Interaction
• Digital Fabrication
• +5 more

Dr. Gabby Resch is an Assistant Professor at Ontario Tech University's Faculty of Business and Information Technology. His research focuses on data visualization, tangible interaction, and immersive technologies like AR/VR. He holds a PhD and Master's from the University of Toronto (Information Science) and a BA in Political Science from UBC. Prior to his current role, he was a postdoctoral fellow at Ryerson University's Synaesthetic Media Lab, collaborating on VR/AR applications for spatial cognition and medical training. His work has been supported by a SSHRC Insight grant. He teaches visualization and interaction design courses and collaborates with institutions like Autodesk Research and the Ontario Science Centre. Key research interests include: 1) Tangible and embodied data interaction, 2) Critical approaches to data literacy, and 3) Immersive 3D media for spatial training. Recent articles explore VR's vergence-accommodation conflict, mixed reality motor control effects, and tangible interfaces for scientific data. Grants: SSHRC Insight Grant (ongoing collaboration with Ryerson/Georgia Tech/UToronto/Toronto General Hospital). Labs/Teams: Part of the Business Analytics & AI group at Ontario Tech. Previously affiliated with Synaesthetic Media Lab (Ryerson).

• Telecommunications
• Networking
• Cloud Gaming
• +4 more

Magda El Zarki is a Professor in the Department of Computer Science at the University of California, Irvine (UCI). She specializes in Telecommunications and Networking, with research focusing on cloud gaming, exergaming (e.g., MineBike), and serious games for health applications. Her work addresses challenges like optimizing 3D immersive systems, reducing latency, and improving quality of service in cloud-based environments. She teaches courses such as CS 133 (Networking Lab), CS 232P (Computer and Communication Networks), and ICS 167 (Multiplayer Online Systems). Her lab projects include developing frameworks for adaptive streaming and exergaming platforms to promote physical activity in children. Collaboration with students and TAs is facilitated via Piazza, emphasizing active participation. Her CV was last updated in 2020, though the website content dates to 2007. Education & Affiliations: PhD in Computer Science (assumed based on role) Department of Computer Science, UCI Associated with the Networking and Telecommunications research groups Research Interests: Prof. El Zarki’s research spans: Cloud gaming infrastructure and latency optimization Exergaming platforms for health interventions Collaborative multimedia systems and projector networks Network-aware adaptive frameworks for immersive applications Her recent work evaluates MineBike’s efficacy in promoting physical activity and explores flexible cloud gaming systems to balance bandwidth and visual quality. Teaching & Advising: She instructs courses on networking fundamentals, lab practices, and multiplayer systems. While no explicit student advisees are listed, her courses emphasize hands-on projects and lab quizzes. She collaborates with TAs (e.g., Fangqi Liu, Hang Nguyen) and promotes active classroom participation through Piazza. Labs & Infrastructure: Her research utilizes labs like ICS 183/189 for networking experiments and software installations. Projects involve tools like Cisco routers, microcontrollers, and sensor networks for civil infrastructure monitoring.

David Walker-JonesView profile

Lecturer

• Microeconomics
• Experimental Economics
• Behavioral Economics
• +3 more

David Walker-Jones is a Lecturer in the School of Economics at the University of Surrey, specializing in microeconomic theory and experimental economics. He holds a PhD in Economics from the University of Toronto (2021), along with an MA (2015) and a BSc in Math and Economics (2014). His research focuses on decision-making under information constraints, including rational inattention, learning costs, and behavioral biases. He has published in top journals like Journal of Economic Theory and Games and Economic Behavior . Walker-Jones teaches courses such as Intermediate Microeconomics and Economics of Competition. His work explores topics like multi-attribute learning costs, thresholds in decision-making, and redundant information effects. He has received numerous awards, including the British Academy/Leverhulme Small Research Grant and the Royal Bank Graduate Fellowship. His research has been presented at conferences like the European Association of Young Economists and the Network of Behavioural and Experimental Economists. Current projects include studies on voters’ behavior under ambiguity and strategic information obfuscation in markets.

• Telepresence Systems
• Mixed Reality
• Computer Vision
• +3 more

Stephan Ohl is a Researcher at the University of Pittsburgh at Johnstown's Engineering and Computer Science Division since 2017. He holds a PhD from the University of Rostock. His work focuses on telepresence systems, mixed reality environments, and advanced imaging techniques. He has contributed to projects addressing latency reduction in distributed systems, camera calibration, and bandwidth optimization for immersive environments. Research interests include telepresence architectures, multi-camera systems, and applications of graph cuts in image segmentation. His publications span topics from distributed teleoperation to museal space theory. He is affiliated with the Engineering division at Pitt-Johnstown and actively publishes in computer science domains. Notable trends in his publications include: 1) Developing mixed reality frameworks for cultural heritage preservation (2024), 2) Optimizing telepresence systems through network and sensor improvements (2012-2017), and 3) Early work on microscopy image classification (2007). No awards or grants explicitly mentioned in available texts.

Richard MarksView profile

Professor

• AR/VR
• Machine Learning
• Context-Aware Systems
• +3 more

Richard Marks is a Professor of the Practice at the University of North Carolina at Chapel Hill, holding dual appointments in the School of Data Science and Society and the Department of Computer Science. His research focuses on AR/VR, machine learning, and context-aware systems. He previously led the PlayStation Magic Lab at Sony PlayStation, contributing to innovations like the EyeToy, PlayStation Eye, Move, and VR systems. Marks has over 100 patents and earned a PhD in Computer Science from Stanford University (1996) and a BS in Avionics from MIT (1990). Education: PhD in Computer Science, Stanford University, 1996 BS in Avionics, MIT, 1990 Research Interests: Marks explores immersive technologies including AR/VR interfaces, machine learning applications for interactive systems, and context-aware computing. His work emphasizes user-centered design principles in virtual and augmented environments. Recent Publications/Trends: Recent work focuses on spatial computing, gesture-based VR navigation, and multi-user VR environments. Key themes include improving tracking accuracy, optimizing HMD interactions, and integrating voice/gesture systems for natural user interfaces. Lab/Affiliations: Formerly director of PlayStation's Magic Lab and Google ATAP, he now leads UNC's research on next-generation interactive systems. His patents reflect innovations in controller design, tracking systems, and ambient computing interfaces.

Jacob BiehlView profile

Associate Professor

• Human-Computer Interaction
• Internet of Things
• Computer Systems
• +5 more

Dr. Jacob Biehl is an Associate Professor at the University of Pittsburgh, jointly affiliated with the Institute for Creative Sciences (ICDS) and the Department of Computer Science within the School of Computing and Information. His research focuses on the intersection of Human-Computer Interaction (HCI), systems, and IoT technologies, particularly in healthcare and surgical workflows. He earned his Ph.D. (2008), MS (2004), and BS (2002) in Computer Science and Statistics from the University of Illinois, Urbana. Key research interests include IoT applications for workflow optimization, AR/VR systems in surgery, and sensor-based localization. His work emphasizes practical deployments in real-world settings, such as endoscopic surgery and medical device integration. Dr. Biehl holds 25 U.S. patents and has led industry and academic collaborations to design systems that enhance human-technology interaction. Notable contributions include the Surreality Lab’s AR tools for surgical navigation and machine learning models for medical diagnostics. He received the Best Journal Paper Award (2023) for work on visual feedback delays in AR surgical tasks. His projects address challenges in neurosurgery, orthopedics, and burn care, leveraging both technical innovation and interdisciplinary collaboration. Dr. Biehl’s academic leadership includes co-directing the Surreality Lab, which bridges computer science and medicine. His educational background and industry experience at FX Palo Alto Lab (Silicon Valley) inform his focus on scalable, user-centered technologies.

David KotzView profile

Professor

• Security and Privacy in Smart Homes
• Pervasive Computing
• Wireless Networks
• +3 more

David Kotz is the Provost of Dartmouth College and holds the Pat and John Rosenwald Professorship in Computer Science. He leads the Department of Computer Science and directs research initiatives such as the SPLICE project on smart home security and the CRAWDAD wireless data archive. His expertise spans security, IoT, and healthcare technologies. Education: PhD in Computer Science from Duke University (1991), AB in Computer Science and Physics from Dartmouth College (1986). He also completed a Fulbright Fellowship at the Indian Institute of Science (2008–09) and served as a Visiting Professor at ETH Zürich (2019–20). Research Interests: Kotz focuses on security and privacy in smart homes, pervasive computing, and wireless networks. His work addresses challenges like device authentication, data sharing policies, and secure IoT protocols. Recent projects include MOAT for smart home device detection and Amanuensis for blockchain-based health data systems. Publications & Awards: Over 270 refereed papers, $89M in grants, and prestigious fellowships from AAAS, ACM, and IEEE. His work has been recognized with awards like the IMWUT Distinguished Paper Award (2021). Advising & Grants: Merged over 100 research students/postdocs. Major grants include NIH-funded studies on opioid use disorder and NIST support for IoT security. His lab collaborates with institutions like ETH Zürich and the Dartmouth Institute for Security Technology Studies. Labs & Teams: Leads the SPLICE lab and collaborates with the Center for Technology and Behavioral Health. His work integrates wearable tech (e.g., Amulet) with healthcare applications for stress detection and behavioral interventions.

Kyle JohnsenView profile

Professor

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +4 more

Dr. Kyle Johnsen is a Professor in the College of Engineering at the University of Georgia, where he has been since 2008. He holds a PhD in Computer Engineering from the University of Florida. His research focuses on human-computer interaction technologies applied to health, education, and environmental fields. He leads the Georgia Informatics Institutes, advancing interdisciplinary solutions through virtual and augmented reality systems. His expertise spans virtual reality (VR), mixed reality (MR), and robotics, with a particular interest in collaborative environments, educational tools, and precision health interventions. Recent work includes developing VR-based training systems for engineering education, robotics for agricultural phenotyping, and mixed-reality systems to enhance physical activity in children. Dr. Johnsen has published extensively on topics such as VR locomotion techniques, sensor-based health monitoring, and interactive virtual agents. His research often bridges computer science with practical applications in healthcare, education, and environmental monitoring. He emphasizes accessible technologies, including low-cost VR setups and mobile tracked displays to democratize immersive learning experiences. Notable projects include the Virtual Fitness Buddy Ecosystem, which uses avatars to motivate children's physical activity, and systems for peanut sorting and grading using computer vision. He also explores the diagnostic potential of extended reality devices in technical education and medical training scenarios.

Xiao ZhangView profile

Assistant Professor

• Mobile Computing
• AIoT
• Cyber Physical Systems
• +9 more

Dr. Xiao Zhang is an Assistant Professor in the Department of Computer and Information Science at the University of Michigan-Dearborn's College of Engineering and Computer Science. He leads the Trustworthy AIoT Lab (TAI Lab) and advises the Immersive Computing Club. Previously, he was a Postdoctoral Associate at Duke University and holds a Ph.D. from Michigan State University, M.S. from Northwestern Polytechnical University, and B.E. from Taiyuan University of Technology. Education: Ph.D. in Computer Science and Engineering - Michigan State University M.S. - Northwestern Polytechnical University B.E. with Honors - Taiyuan University of Technology Dr. Zhang's research focuses on next-generation wireless systems with emphasis on mobile computing, AIoT, cyber-physical systems, and AI-assisted sensing/localization. His work explores spatial-temporal diversities in Optical Wireless Communication (OWC) to enable secure, location-aware communication for IoT and human-centered computing. Applications include LiFi, V2X networks, underwater navigation, digital health, smart cities, HCI, and AR/VR. Recent publications demonstrate a strong focus on optical communication systems (OWC, LiFi), drone technology, IoT security, and AI-assisted sensing. Trends include innovations in 3D optical connections, adversarial defense for audio systems, radar-based point cloud generation, and federated learning solutions for heterogeneous IoT environments. Awards & Grants: 2025: IHP Research Engagement, OE Review/Creation Grants, Creative Teaching Fund 2024: NSF I-Corps, RAG Grant 2023: Dissertation Fellowship (MSU) 2022: Travel Fellowship (MSU) 2019-2023: Multiple Graduate Fellowships 2016-2018: Postgraduate Scholarships 2013-2015: National/University Scholarships Dr. Zhang advises 10+ students across multiple levels including PhD candidate Deniz Acikbas, MS students Ashwin Sarvadey, Jaskirat Sudan, Rohit Raval, and Nishaant Madhankumar, and undergraduate researchers including NSF STEM Scholars Christian Nwobu, Fatima Qasem, and Fatima Mohammed. His TAI Lab focuses on trustworthy AI-driven IoT systems.

• Computer Graphics
• Digital Cultural Heritage
• 3D Visualization
• +5 more

Imanol Muñoz Pandiella is a teaching staff member at the Faculty of Informatics of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Science (CS). He plays a key role in supervising Final Degree Projects across programs such as Computer Engineering and Data Science and Engineering. University: Universitat Politècnica de Catalunya School: Faculty of Informatics of Barcelona Department: Department of Computer Science Role: Lecturer in Computer Science His research and teaching focus on applied computer science in digital cultural heritage, particularly 3D modeling, visualization, virtual reconstruction, and interactive systems. Projects under his supervision demonstrate a strong emphasis on developing practical tools for heritage preservation, including segmentation, lighting simulation, texture generation, and web-based 3D viewers. The recent publications reflect a consistent trend in leveraging computer graphics and visualization technologies for cultural heritage applications. These works integrate techniques from image processing, rendering, simulation, and human-computer interaction, often targeting open-access, real-world deployment in digital museums and conservation efforts. While no formal scientific awards are listed in the provided content, his sustained mentorship and project supervision indicate a significant academic contribution. He has advised numerous undergraduate students on their final degree projects, contributing to both education and applied research. Martin Vall Oliveira Jeremy Comino Raigon Roc Salvador Andreazini Ramon Ribas Domingo Max Vives Ribera Neus Mayol Alcaraz Javier Castano Mansillas Bernat Borras Civil Roberto Amat Alins Pau Matas Albiol Miriam Mendez Serrano Albert Barreiro Diaz Pau Nunez Amoros He collaborates closely with researchers such as Carlos Andújar Gran, Óscar Argudo Medrano, and Pere Pau Vázquez Alcocer, indicating integration within a specialized research group focused on graphics and heritage visualization. The lab environment appears to emphasize interdisciplinary projects combining computer science with cultural preservation goals.