Find Academic Supervisors

Julie R. WilliamsonView profile

Lecturer

• Human-Computer Interaction (HCI)
• Virtual Reality (VR)
• Social Signal Processing
• +6 more

Dr. Julie R. Williamson is a Lecturer in Human-Computer Interaction (HCI) at the School of Computing Science, University of Glasgow. She leads the FUSION ERC Consolidator Grant (€1.98M), focusing on stabilizing social interactions in Extended Reality (XR). Her work bridges social signal processing, immersive technologies, and ethical design. Key contributions include research on social XR, digital proxemics, and VR acceptance in public spaces. She has authored over 60 publications, including influential papers on VR user awareness, mixed reality in transit, and inclusive metaverse design. Williamson is a vocal advocate for open science, sharing rejected grant proposals to highlight iterative research processes. She holds an ACM Senior Member title and chairs ACM SIGCHI’s Publications Board. Her lab, SoCShop, supports electronics prototyping for interdisciplinary research. Education & Grants: ERC Consolidator Grant (2023), EPSRC Open Fellowship (2023), EPSRC First Grant Scheme (prior success). Research spans HCI, VR ethics, and public display systems. Advises PhD/MSc students on immersive tech and social computing. Awards: ERC Consolidator Grant (2023), ACM Senior Member (2019), multiple grant proposals rejected but iterated into successful frameworks. Grants & Labs: FUSION Grant focuses on XR social signal fusion. SoCShop lab provides prototyping resources for computing science research. Collaborates with CWI, Toyota Research Institute, and Northeastern University. Research Trends: Articles emphasize stable interpersonal realities, inclusive VR design, and ethical challenges in immersive tech. Recent work analyzes user acceptance of EMS and thermal security threats in hardware.

Peter J. WhitridgeView profile

Professor

• Archaeology of the Body
• Indigenous Archaeology
• Arctic Studies
• +5 more

Peter J. Whitridge is a Professor in the Department of Archaeology at Memorial University of Newfoundland, within the Faculty of Humanities and Social Sciences. His research focuses on the archaeology of the body, spatial dimensions of embodied experience, and Inuit colonization processes in Nunavut and Labrador, with recent work extending to contemporary Newfoundland. He has conducted extensive fieldwork in northern Labrador, including sites in Nachvak, Saglek, Hebron Fiords, and the Okak area, often collaborating with students and institutions like Université Laval. Whitridge’s work examines Inuit interactions with landscapes, non-human entities, and European colonial influences. His recent projects include drone-mapping of Inuit sites and studies on contemporary archaeological phenomena like graffiti at Cold War sites. He actively supervises PhD, MA, and undergraduate students exploring topics such as Inuit gender relations, architecture, and animal use. His publications span Arctic archaeology, zooarchaeology, and theoretical frameworks, with a focus on material culture, spatial scales, and interdisciplinary methods. Notable contributions include analyses of Inuit sled dog diets, iron sourcing in artifacts, and the role of dogs in social systems.

Giancarlo La CameraView profile

Associate Professor

• Theoretical Neuroscience
• Sensory and Cognitive Processes
• Learning and Behavior
• +5 more

Giancarlo La Camera is an Associate Professor in the Department of Neurobiology & Behavior at Stony Brook University, where he also directs the Center for Neural Circuit Dynamics. He holds a PhD from the University of Bern (2003) and previously worked at the National Institute of Mental Health (2004–2008). His research focuses on theoretical and computational neuroscience, exploring metastable dynamics in cortical circuits, sensory and cognitive processes, and reinforcement learning. He teaches courses in computational neuroscience and statistics. Education: BSc (Laurea) in Theoretical Physics, University of Rome La Sapienza (1999) PhD in Neurobiology, University of Bern (2003) Research Interests: Dr. La Camera investigates how cortical networks process information through metastable states, particularly in gustatory and prefrontal cortices. His lab develops biologically plausible models of neural coding and plasticity, addressing challenges like temporal segmentation of sensory inputs and the stability-plasticity dilemma. Recent work includes modeling decentralized vision in sea urchins and studying error-related dynamics in decision-making. Publications Highlights: Recent work includes modeling metastable dynamics in cortical circuits (2024), a decentralized vision model for sea urchins (2023), and studies on decision-making in gustatory cortex (2023). His research bridges physics, machine learning, and neuroscience to understand cortical computations. Lab & Collaborations: His lab collaborates with experimentalists to validate models against empirical data. Current projects explore taste perception, prefrontal dynamics during decision-making, and novel plasticity rules. Alumni include Dr. Luca Mazzucato (University of Oregon) and Dr. Tianshu Li (NYU).

Simon A. LevinView profile

Professor

• Ecology
• Evolutionary Biology
• Infectious Diseases
• +12 more

Simon A. Levin is the James S. McDonnell Distinguished University Professor in Ecology and Evolutionary Biology at Princeton University, where he has been affiliated since 1992. He also holds an Adjunct Professorship at Cornell University. His research bridges ecological theory, evolutionary biology, and environmental economics, focusing on macroscopic patterns in ecosystems, infectious disease dynamics, and sustainable management of global commons. B.A., Johns Hopkins University Ph.D., University of Maryland (Mathematics) Levin’s work integrates mathematical modeling with ecological data to study resilience, pattern formation, and multiscale processes in natural systems. He explores how individual-level ecological and evolutionary mechanisms generate collective outcomes at ecosystem and biosphere scales, emphasizing the importance of scale mismatches in conservation challenges. Recent publications highlight his contributions to epidemic modeling coupled with human behavior, spatial ecology of savanna-forest boundaries, and network-based analyses of social-ecological systems. His 2025 work on risk compensation and surveillance systems demonstrates how behavioral feedbacks influence disease containment strategies. MacArthur Award (1988) Kyoto Prize in Basic Sciences (2005) A.H. Heineken Prize for Environmental Sciences (2004) National Academy of Sciences member Fellow of AAAS and American Academy of Arts and Sciences As director of the Princeton Center for BioComplexity, Levin mentors over 100 graduate students and postdocs. His lab investigates topics like microbial interactions, climate-driven ecosystem shifts, and prosocial behavior in resource governance.

Lin MuView profile

Associate Professor

• Applied Mathematics
• Numerical Analysis
• Scientific Computing
• +8 more

Dr. Lin Mu is an Associate Professor in the Department of Mathematics at the University of Georgia. She holds a Ph.D. in Mathematics from the University of Arkansas at Little Rock (2012), and M.S. and B.S. degrees from Xi'an Jiaotong University (2009 and 2006). Her research focuses on applied mathematics, numerical analysis, and scientific computing, with emphasis on numerical methods for PDEs, computational fusion plasma physics, porous media flow, and high-performance computing. She has secured major grants from the Department of Energy (DOE) and National Science Foundation (NSF), including leadership roles in RF-plasma-material interactions simulations and fluid solvers for porous media. Dr. Mu has published extensively (77+ papers, 2,273 Google citations) and received awards like the 2023 Fred C. Davison Early Career Scholar Award. Education : Ph.D., Mathematics, University of Arkansas at Little Rock (2009–2012) M.S., Mathematics, Xi'an Jiaotong University (2006–2009) B.S., Mathematics, Xi'an Jiaotong University (2002–2006) Research Interests : Development of stable numerical schemes for PDEs, error analysis, computational fusion physics, high-dimensional simulations, and HPC applications. Her work bridges theoretical mathematics and real-world engineering challenges, particularly in plasma physics simulations and porous media modeling. Current grants include DOE-funded projects on RF-plasma-material interactions (2023–2026) and NSF support for fluid solvers in complex geometries (2023–2026). Awards: 2023 Fred C. Davison Early Career Scholar Award 2020 Ralph E. Powe Junior Faculty Enhancement Award Teaching: Regular courses include MATH 4500/6500, MATH 2700, MATH 8500/8505, and MATH 8550. She actively mentors doctoral students in applied math and scientific computing. Labs/Teams: Leads research in numerical methods and HPC at UGA, collaborating with institutions like Oak Ridge National Laboratory. Her work supports interdisciplinary fusion energy and environmental modeling initiatives.

• Experimental Psychology
• Psychophysics
• Visual Perception
• +4 more

Chris Paffen is an Associate Professor in the Department of Psychology at Utrecht University's Faculty of Social and Behavioural Sciences. His position combines teaching, research, and management duties within the Experimental Psychology program. He is also associated with the Helmholtz Institute, focusing on experimental approaches to visual perception and cognition. Dr. Paffen received his PhD in 2004 and has since established himself as a prominent researcher in visual perception. His research spans multiple areas of experimental psychology with particular emphasis on visual perception, time perception, consciousness, and psychophysics. His recent work has expanded into human-centered artificial intelligence, examining how cognitive principles can inform AI development. Paffen's extensive publication record demonstrates consistent research productivity, with over 155 research outputs spanning two decades. His work primarily investigates visual working memory, binocular rivalry, attention mechanisms, and the relationship between visual perception and consciousness. Recent publications show increasing focus on memory dynamics, temporal processing, and the neural mechanisms underlying visual awareness. As an educator, Paffen teaches across multiple programs including Applied Cognitive Psychology, Artificial Intelligence, Psychology, and Neuroscience and Cognition at undergraduate, graduate, and post-master levels. His teaching portfolio includes courses such as Cognition and Behavior and Sensation and Perception, reflecting his research expertise. His laboratory work appears to focus on experimental paradigms related to visual perception, with particular attention to binocular rivalry, continuous flash suppression, and visual working memory paradigms. His research often involves collaborations with colleagues at Utrecht University and international institutions, as evidenced by his co-authored publications.

Joanna KershawView profile

Lecturer

• Marine Biology
• Marine Mammals
• Conservation Physiology
• +3 more

Dr Joanna Kershaw is a Lecturer in Marine Biology at the University of St Andrews' School of Biology. Her research focuses on marine mammals, particularly seals and whales, with an emphasis on conservation physiology, ecosystem health, and the impacts of environmental changes. She investigates biomarkers in blubber, foraging behaviors, and toxin exposure to assess population health and ecosystem dynamics. Dr. Kershaw collaborates extensively on projects involving stable isotope analysis, photogrammetry, and toxicology, contributing to global efforts in marine conservation. Research Interests: Marine Mammal Physiology, Harmful Algal Toxins, Long-Term Ecological Trends, Climate Change Adaptation Key Collaborations: Projects in the North Atlantic, Barents Sea, and Gulf of St. Lawrence Her articles analyze topics like seal oxygen perception, Arctic whale migration, and multi-decadal environmental shifts recorded in seal teeth. She is a peer reviewer for journals like Marine Ecology Progress Series and Comparative Biochemistry and Physiology .

Sergio RossiView profile

Associate Professor

• Marine Animal Forests
• Benthic-Pelagic Coupling
• Climate Change Indicators
• +5 more

Sergio Rossi is an Associate Professor specializing in marine ecology and conservation at the University of Salento. His research examines climate change impacts on coastal benthic populations, marine invertebrate ecology, and restoration strategies for degraded ecosystems. As coordinator of the MAF WORLD COST Action (CA20102) and Horizon Europe's OCEAN CITIZEN project, he advances transnational protection of marine animal forests. Rossi publishes extensively on coral reef vulnerability, trophic ecology, and sustainable aquaculture. His 170+ publications analyze biodiversity-ecosystem functioning relationships across Mediterranean, Antarctic, and tropical reefs, using field experiments and stable isotope techniques. He teaches Marine Biodiversity, Experimental Design, and Zoology Applied to Conservation.

Dirk Martin LuchtenburgView profile

Associate Professor

• Dynamics and Control
• Fluid Mechanics
• Smart Vehicles
• +4 more

Dirk Martin Luchtenburg is an Associate Professor in the Department of Mechanical Engineering at The Cooper Union, holding the C. V. Starr Distinguished Professorship of Engineering. He leads the Dynamics and Control Lab, where undergraduate students design model-based controllers for smart vehicles such as quadcopters and ground robots. His research spans fluid mechanics, dynamics, and control systems, with applications in active flow control, nonlinear aerodynamics, and robotics. Education: He earned his MS in Aerospace Engineering from Delft University of Technology (Netherlands) and his PhD in Fluid Mechanics from TU Berlin. He held postdoctoral and lecturing roles at Princeton University before joining Cooper Union in 2013 as a research fellow, becoming a full-time faculty member in 2015. Key Research Areas: Fluid flows, feedback control, robotics, and model reduction. Applications: Active flow control, nonlinear stall models, and smart vehicle control. Recent work includes gyroscopic control of robotic systems, dynamic mode decomposition for complex systems, and compliant leg designs for robotic landings. His lab emphasizes hands-on student involvement in cutting-edge projects. Awards: C. V. Starr Distinguished Professor of Engineering (2023) Ben-Gurion University Summer Research Fellowship (2025) Grants & Advising: Co-authored papers with students, including David Shekhtman and Yeeho Song. Received the 2021 Educational Innovation Grant. Mentors undergraduates in the Dynamics and Control Lab, focusing on robotics and fluid dynamics research. Labs & Collaborations: Cooper Dynamics and Control Lab. Collaborations include work on plasma blasters and participation in conferences like ASME and ICRA.

• Robotics
• Machine Learning
• Computer Vision
• +3 more

Jiahao Jiang is an active researcher with a strong publication record spanning robotics, machine learning, and signal processing. His work appears consistently in IEEE Transactions and top-tier conferences including KDD, IJCAI, and IROS, indicating recognition within the academic community. The research pattern suggests affiliation with a Chinese research university's computer science or engineering department, though specific institutional details aren't provided in the publication records. His research interests center on applying machine learning techniques to practical engineering problems, particularly in robotics navigation and industrial signal processing. Jiang's work demonstrates particular strength in spatial-temporal learning frameworks, multi-task learning approaches, and knowledge representation techniques. Recent publications show increasing focus on contrastive learning methods for robot perception and navigation, as well as innovative approaches to partial label learning and knowledge graph embeddings. Analysis of his publication trends reveals a clear trajectory from foundational work in trajectory simplification and data mining (2017-2019) toward more sophisticated AI applications in robotics and industrial systems (2020-2025). His work bridges theoretical machine learning advances with practical engineering applications, particularly in autonomous systems and industrial monitoring. The consistent collaboration with researchers like Zhelong Wang, Sen Qiu, and Jing Zhang suggests membership in a stable research group focused on AI-driven engineering solutions. While specific awards aren't documented in the provided records, the publication venues indicate work of high quality that has passed rigorous peer review processes at premier venues in computer science and engineering. The progression from conference papers to IEEE Transactions publications demonstrates growing research maturity and impact. Jiang's research appears to focus on practical applications of AI in robotics and industrial systems, suggesting work within a laboratory environment equipped for robotics experimentation and industrial signal processing. The consistent themes across publications indicate a well-defined research trajectory with increasing technical sophistication over time.

Tomi RyynänenView profile

Researcher

• Biomedical Engineering
• Microelectrode Technology
• Stem Cell Applications
• +3 more

Professional Overview Tomi Ryynänen is a Researcher in Biomedical Technology at Tampere University, focusing on advanced microelectrode array (MEA) design and in vitro cell culture systems. His work bridges engineering and biology, particularly in neuroengineering and cardiac cell analysis. Education PhD in Biomedical Engineering, Tampere University (2019) MSc in Physics, University of Jyväskylä (2000) Research Interests Ryynänen specializes in: - Development of transparent and durable MEA materials (e.g., titanium nitride coatings) - 3D cell culture systems with integrated sensors - Neurological disease modeling (Parkinson’s, epilepsy) using tripartite networks - Real-time electrophysiological monitoring of cardiac and neuronal cells under pathophysiological conditions Grant Funding Recipient of grants from Suomen Kulttuurirahasto (2016–2017) supporting his interdisciplinary research initiatives. Key Contributions Pioneered inkjet-printed 3D MEAs for complex cell models Developed temperature-controlled microfluidic platforms for stable in vitro experiments Advanced understanding of electrode material degradation in biomedical applications Labs & Collaborations Co-developed the Portable Microscale Cell Culture System with indirect temperature control, enabling precise environmental regulation in lab settings.

Sergey LevineView profile

Associate Professor

• Artificial Intelligence
• Deep Learning
• Reinforcement Learning
• +4 more

Sergey Levine is an Associate Professor at the University of California, Berkeley, affiliated with the Department of Electrical Engineering and Computer Sciences in the College of Engineering. His research focuses on autonomous decision-making systems, particularly in deep reinforcement learning, robotics, and computer vision. PhD, Computer Science, Stanford University (2014) BS/MS, Computer Science, Stanford University (2009) Levine develops algorithms for end-to-end training of neural network policies, inverse reinforcement learning, and safe real-world RL. His work enables autonomous agents to acquire complex behaviors through learning frameworks. Recent publications emphasize diffusion models, offline RL, and vision-language-action systems for robotics. Awards include NSF PECASE (2024), Sloan Fellowship (2019), and MIT TR35 (2016). NSF Presidential Early Career Award (2024) Okawa Research Grant (2021) Sloan Research Fellow (2019) NSF CAREER Award (2017) MIT Tech Review TR35 (2016) ONR Young Investigator (2016) He leads the Robotic AI & Learning Lab (RAIL) at Berkeley Artificial Intelligence Research (BAIR), contributing to open-source frameworks like Octo and OpenVLA. His courses (CS 285, CS 182) cover deep RL and learning theory fundamentals.

Lotta RahlfView profile

Researcher

• Preventing and Countering Violent Extremism (P/CVE)
• Radicalization Studies
• Evaluation of Security Policies
• +5 more

Lotta Rahlf is a Doctoral Candidate in the EU-wide Marie Skłodowska-Curie Doctoral Network VORTEX and Researcher in the PrEval project at the Peace Research Institute Frankfurt (PRIF), where she contributes to the Radicalization, Terrorism, and Extremism Prevention Research Group. Her work bridges academic research and policy implementation in European security contexts, with doctoral registration at Goethe University Frankfurt under supervisors Julian Junk, Tore Bjørgo, and Christopher Daase. Her educational background includes an MLitt in Terrorism and Political Violence from the University of St Andrews (2022) and a B.A. in International Relations from the University of Groningen (2021), supported by DAAD and German National Academic Foundation scholarships. Rahlf's research centers on institutionalizing evaluation frameworks within Preventing and Countering Violent Extremism (P/CVE), analyzing how knowledge management structures vary across European nations. She investigates causal factors behind evaluation efficacy, including terrorist attack exposure and civil society involvement, while exploring conspiracy theories as radicalization catalysts and media framing of terrorism-affiliated returnees. Her methodology combines Qualitative Comparative Analysis with policy transfer studies. Recent publications reveal a sharp focus on P/CVE evaluation gaps, European policy fragmentation, and emerging threats like AfD's potential impact on German extremism prevention. She systematically documents challenges in measuring causally complex security phenomena while advocating for stable funding and professionalization in democracy promotion. Her scientific recognition includes: The Lord Sedwill Handa CSTPV Dissertation Prize (2022) German Academic Exchange Service (DAAD) Scholarship (2021-2022) German National Academic Foundation Scholarship (2018-2023) Supported by the EU Horizon Europe-funded VORTEX network and PrEval project, Rahlf actively transfers knowledge through policy workshops with German federal institutions and contributes to public discourse via media outlets like Frankfurter Rundschau and MDR. She co-leads international expert surveys on P/CVE evaluation systems while presenting findings at forums like the European Expert Network on Terrorism Issues. As a core member of PRIF's Radicalization Research Group and the VORTEX consortium, she drives cross-institutional collaboration through events like the Nordic Conference on Violent Extremism, focusing on methodological innovation in radicalization research and European security policy coherence.

• Haptic interfaces
• Tangible user interfaces
• Shape-changing displays
• +4 more

Sean Follmer is an Associate Professor in the Department of Mechanical Engineering at Stanford University's School of Engineering. He leads a research group focused on human-computer interaction with particular emphasis on haptic interfaces, shape-changing displays, and accessibility technologies. His work bridges mechanical engineering principles with interactive systems design to create novel physical interfaces. Follmer completed his PhD at MIT Media Lab in 2015, where he worked on shape displays and tangible interfaces. His doctoral research laid the foundation for his ongoing work in dynamic physical interfaces that can change form to provide rich haptic feedback and tangible interaction. His research interests span several interconnected areas: haptic interfaces that provide touch-based feedback in virtual environments; shape-changing displays that dynamically alter their physical form; tangible user interfaces that leverage physical objects for digital interaction; and accessibility technologies, particularly for blind and visually impaired users. Recent work has increasingly focused on making data visualization and educational tools accessible through multimodal and tactile interfaces. His approach often combines mechanical design, control systems, and user-centered design to create systems that extend human perception and interaction capabilities. Analysis of his recent publications reveals a strong trend toward accessibility applications, particularly in education for blind and low-vision users, while maintaining technical depth in haptics and physical interface design. His work on electroadhesion, swarm robotics for haptic feedback, and non-visual interaction techniques demonstrates both theoretical rigor and practical application. The interdisciplinary nature of his research bridges mechanical engineering, computer science, and design. As a mentor, Follmer has supervised numerous students who have gone on to publish as first authors in top HCI venues. His lab appears to foster collaborative work, with many publications involving multiple students and cross-institutional collaborations. While specific grant information isn't visible in the publication record, the volume and diversity of projects suggest substantial research funding from multiple sources. Follmer's lab focuses on physical computing and interactive systems, with particular expertise in actuation mechanisms for shape displays, haptic feedback systems, and accessibility technologies. The research group appears to maintain strong connections with both the mechanical engineering and computer science communities, participating in conferences across these domains. Recent work suggests growing interest in the ethical implications of sensory substitution technologies and the social dimensions of interactive systems.

Todd MurpheyView profile

Professor

• Robotics
• Control Systems
• Data-Driven Control
• +4 more

Todd Murphey is a Professor of Mechanical Engineering and Director of the Master of Science in Robotics Program at Northwestern University's McCormick School of Engineering. He leads the Center for Robotics and Biosystems and holds roles in academic administration, including directing robotics education initiatives. His work bridges control theory, robotics, and embodied intelligence. Education: Ph.D. in Control and Dynamical Systems from California Institute of Technology (Pasadena, CA) B.S. in Mathematics (summa cum laude) from University of Arizona (Tucson, AZ) Research Interests focus on computational methods in data-driven control, information theory in physical systems, and embodied intelligence. Example projects include robotic exploration via mechanical contact, human-in-the-loop control, and shared control systems. His work often explores topics like reinforcement learning, swarm robotics, and human-robot collaboration. Awards include the National Science Foundation CAREER Award (2006) and membership in the Defense Science Study Group (2014-2015). He served as Editor for IEEE Transactions on Robotics (2014-2018) and is currently on the Air Force Scientific Advisory Board. Teaching and Outreach include developing the Coursera MOOC 'Everything Is the Same: Modeling Engineered Systems' (over 18,000 enrollments) and undergraduate courses ME 314 (Machine Dynamics) and ME 454 (Optimal Control Methods). He emphasizes project-based learning in all courses. Labs and Teams involve leadership in the Center for Robotics and Biosystems, focusing on interdisciplinary research in robotics, control systems, and embodied AI. Recent projects span colloidal robotics, swarm intelligence, and mechanical computing.