Find Academic Supervisors

• Visual Perception
• Cognitive Psychology
• Multisensory Integration
• +3 more

Carlo Fantoni is a researcher at the Department of Life Sciences, University of Trieste, focusing on visual perception, cognitive psychology, and multisensory integration. His work spans developmental psychology, human factors, and computational modeling, with a particular emphasis on how visual and cross-modal cues influence perception and decision-making. His research trends include studies on visual perception (e.g., amodal completion, 3D surface orientation), developmental psychology (e.g., age correction in preterm infants), and human factors (e.g., acoustic comfort in ship cabins, BUS design framework). He has developed advanced tools like the Active Multisensory Perception tool (AMPt) for immersive studies in ergonomics.

Lesley IsteadView profile

Assistant Professor

• Computer Graphics
• Stereoscopic 3D
• Film Production Pipelines
• +9 more

Lesley Istead is an Assistant Professor at the School of Information Technology , Carleton University (joined 2022). She holds a Bachelor and Masters in Mathematics and a PhD in Computer Science from the University of Waterloo, with industry experience in software development and academic experience in lecturing. Research Focus: Computer graphics, stereoscopic 3D, film production pipelines, visual effects, human-computer interaction, machine learning applications Labs: Leads the Media Production AI Lab (MPAIL) Key Research Areas: Visual effects, virtual/augmented reality, animation, big data analytics, film data science, and hybrid conference organization (e.g., Graphics Interface 2022). Her work intersects film production technologies, simulation, and AI-driven media solutions. Selected Publications: Recent projects include studies on gesture-based 3D modeling (2022), emotional color design in horror VR (2023), and stereoscopic disparity adjustment (2014). She teaches courses like ITEC4007 and ITEC4010.

Alexis Serio HughesView profile

Professor

• Painting
• Drawing
• Abstract Art
• +3 more

Alexis Serio Hughes is a Professor of Studio Art and MA/MFA Graduate Program Coordinator at the University of Texas at Tyler. She holds a B.F.A. from Syracuse University and an M.F.A. from the University of Pennsylvania, where she received the Charles Addams Memorial Prize. Her work explores themes of time, memory, and perception through abstract paintings that investigate light, color, and the interplay between reality and imagination. Educations: B.F.A. in Painting, Syracuse University M.F.A. in Painting, University of Pennsylvania Her research focuses on visual perception and the philosophical dimensions of art, creating works that challenge viewers to interpret personal memories through abstract landscapes and luminous color fields. Major exhibitions include the Tokyo Metropolitan Art Museum and the Martin Museum of Art at Baylor University, with collections held by institutions like Houston Airports and Lankenau Hospital. Recent works emphasize vibrant abstract landscapes that blend natural elements with symbolic abstraction, as seen in her 2024 series exploring fluid dynamics and light interactions. The 2023 Shimmering series exemplifies her interest in transient phenomena like sunrise and rainfall. Awards: Charles Addams Memorial Prize (University of Pennsylvania) As a mentor, she coordinates the graduate program and has advised students through her studio practice. Her work is represented by Edgewater Gallery and documented in Perennial Earth , a book pairing her paintings with Wallace Stevens' poetry. Her art often integrates literary references, as seen in Haiku (2023), which translates poetic structure into visual abstraction. Technical innovations include experimental oil techniques and luminous watercolor compositions.

Ken NakayamaView profile

Professor

• Vision Sciences
• Visual Perception
• Psychophysics
• +5 more

Ken Nakayama is the Edgar Pierce Professor of Psychology at Harvard University, where he has been since 1990. Previously, he spent 20 years at the Smith Kettlewell Eye Research Institute in San Francisco. He holds a B.A. from Haverford College and a Ph.D. from UCLA. University: Harvard University Department: Department of Psychology Lab: Vision Sciences Laboratory Research Interests Nakayama’s work focuses on understanding the mechanisms of visual perception, including motion perception, attention, face recognition, and the neural basis of visual processing. He explores how the brain constructs coherent visual scenes from dynamic sensory inputs, emphasizing the interplay between low-level visual processing and higher-order cognitive functions. His research employs methods such as visual psychophysics, computational modeling, and neuroimaging to study topics like the perception of surfaces, motion, and attentional deployment. Recent work includes investigations into developmental prosopagnosia (face blindness) and the role of visual perception in social cognition. Key Contributions Nakayama has contributed fundamentally to understanding the aperture problem in motion perception, the role of attention in visual search, and the neural correlates of face recognition. He co-developed the Cambridge Face Memory Test, a gold-standard tool for assessing face recognition abilities. His lab has also studied the impact of perceptual learning, the effects of brain lesions on visual processing, and the application of visual psychophysics to neurological disorders. Collaborations with neuroscientists and clinicians highlight his interdisciplinary approach to understanding vision and cognition.

• Collective Robotic Construction
• Swarm Robotics
• Soft Robotics
• +4 more

Kirstin Petersen is an Associate Professor in the Department of Information Science at Cornell University's Bowers College of Computing and Information Science. She leads the Collective Embodied Intelligence Lab, focusing on collective robotic systems that exhibit emergent intelligent behaviors through local interactions. Her research interests center on collective robotic construction, swarm robotics, soft robotics, and human-robot interaction. Petersen's work explores how groups of simple robots can collaborate to build complex structures, with applications ranging from construction to agriculture. She investigates the principles of embodied intelligence, where the physical form and environment of robots contribute to their capabilities, reducing the need for complex centralized control. Her publication trends show a consistent focus on distributed robotic systems, with recent work expanding into agricultural robotics, human-drone interaction, and novel actuation methods using phase-changing materials. Her research bridges theoretical principles of collective behavior with practical implementations in soft and modular robotic systems. Petersen has advised numerous graduate students who have become prominent researchers in robotics, including Steven Ceron, Nialah Wilson-Small, and Jiahe Chen. Her lab has secured funding for projects related to swarm construction, agricultural monitoring, and soft robotic systems. She leads the Collective Embodied Intelligence Lab at Cornell, which brings together researchers from computer science, mechanical engineering, and biology to develop novel approaches to collective robotic systems. The lab emphasizes both theoretical foundations and practical implementations, with projects ranging from tiny modular robots to agricultural drones.

• Behavioral Ecology
• Evolutionary Biology
• Sensory Ecology
• +5 more

Daniela C. Rößler is a behavioral and evolutionary ecologist leading an Emmy Noether Research Group at the University of Bonn’s Bonn Institute for Organismic Biology (Section II - Animal Diversity). She is also an affiliated scientist at the Max Planck Institute of Animal Behavior in Konstanz. Her work focuses on animal coloration, sensory ecology, and behavior, particularly in jumping spiders and amphibians like harlequin toads. Research priorities include anti-predator adaptations, sleep ecology in spiders (including the discovery of REM-like sleep states), and the evolution of multi-eyed visual systems. Her research integrates field and lab experiments to explore questions rooted in natural observations. She collaborates globally and mentors interns and students, emphasizing interdisciplinary and equity-focused science. Recent work highlights the ongoing amphibian extinction crisis and the ecological significance of sleep in arthropods. Awards include the prestigious Emmy Noether grant supporting her independent research group. Key areas of study include: predator-prey dynamics, sleep architecture in spiders, and the functional role of coloration in anti-predator strategies. Ongoing projects aim to establish sleep’s prevalence and ecological roles across spiders, while also addressing amphibian conservation challenges.

Shahram PayandehView profile

Professor

• Robotics
• Geometrical Robotics
• Networked Dynamical Systems
• +4 more

Shahram Payandeh is a Professor of Engineering Science at Simon Fraser University (SFU), affiliated with the School of Engineering Science within the Faculty of Applied Sciences. He holds a Ph.D. from the University of Toronto (1990), M.A.Sc. (1986), and B.Sc. (1981). His research focuses on robotics, geometrical robotics, networked dynamical systems, and medical robotics, with emphasis on haptic devices, multi-view tracking, and multi-modal interaction in serious games. Education: Ph.D., University of Toronto, Canada, 1990 M.A.Sc., University of Toronto, Canada, 1986 B.Sc., University of Akron, United States, 1981 Research Interests: Robotics and medical robotics applications Geometrical robotics and sensor networks Multi-view tracking and haptic rendering Networked dynamical systems and decision support His work spans visual tracking algorithms, sensor calibration, and teleoperation systems, with practical applications in healthcare and elderly care technology. Teaching: ENSC 482: Introduction to Decision Making in Engineering ENSC 890: Advanced Robotics: Mechanics and Control Labs & Facilities: Associated with the Engineering Science Research Lab (erl.ensc.sfu.ca) Office: ASB 10829

Michael GruningerView profile

Professor

• Ontologies
• Semantic Integration
• Process Modelling
• +6 more

Michael Gruninger is a Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto, serving as Associate Chair of Undergraduate Studies. He holds a PhD and MSc in Computer Science from the University of Toronto and a BSc in Computer Science from the University of Alberta. His research focuses on semantic integration, process modeling, and mathematical logic applications in manufacturing and enterprise engineering. He contributed to the ISO 18629 standard for Process Specification Language. Research interests include ontologies, semantic web technologies, knowledge representation, and formal methods. He leads the Semantic Technologies Laboratory, advancing theories in mereotopology, spatiotemporal ontologies, and ontology engineering. Recent work emphasizes automated spatial reasoning in robotics and standards-based ontology development. Publications span ontology validation, mereological foundations, and applied semantic technologies. His work bridges theoretical computer science with practical enterprise systems and smart city applications. No awards are explicitly listed, though his contributions to ISO standards reflect industry impact. Advising and grants: No specific students/grants detailed here. His lab focuses on semantic technologies with applications in manufacturing and urban systems. Collaborations include NIST and the Industrial Ontologies Foundry.

• Computer Graphics
• Virtual and Augmented Reality
• Facial Expression Analysis
• +4 more

Joe Geigel is a Professor in the Department of Computer Science at Rochester Institute of Technology's Golisano College of Computing and Information Sciences. He holds a DSc in Computer Science from George Washington University, an MS in Computer Science from Stevens Institute of Technology, and a BS in Mathematics from Manhattan College. His career includes industry positions at Eastman Kodak, Bell Laboratories, and RCA Solid State before transitioning to academia. Geigel's research explores the intersection of computer graphics and performing arts, with expertise in: Virtual and augmented reality systems Facial expression analysis and motion capture Interactive theatre and dance technologies Human-computer interaction for creative applications Interdisciplinary education methods His publications demonstrate consistent innovation in virtual performance technologies, with recent work focusing on mixed reality theatre, museum interpretation systems, and educational applications of immersive technologies. He has directed over 15 technology-enhanced productions including Singring and the Glass Guitar and Farewell to Dawn . As co-director of the CS Graphics and Applied Perception Lab, Geigel leads the XRLive team developing extended reality solutions for live performances. He teaches graduate courses in computer graphics, animation algorithms, and virtual reality applications.

Mircea NicolescuView profile

Professor

• Computer Vision
• Surveillance Systems
• Robotic Vision
• +3 more

Mircea Nicolescu is a Professor in the Department of Computer Science and Engineering at the University of Nevada, Reno. He holds a Ph.D. (2003) and M.S. (1999) from the University of Southern California, and a B.S. (1995) from Polytechnic University Bucharest. He co-directs the Computer Vision Laboratory . His research focuses on computer vision , particularly in video content understanding , surveillance systems , robotic vision , and human-computer interaction . Key areas include robust tracking in dynamic scenes, autonomous navigation, and gesture/face recognition. Recent work addresses maritime safety, cryptocurrency forecasting, and robotic task parameter estimation via multimodal data fusion. He has published over 100 peer-reviewed articles and holds a U.S. patent for 'Fast Digital Pan-Tilt-Zoom Video'. His work has earned a Best Paper Award Finalist distinction (2021). Teaching responsibilities include Programming Languages and Advanced Computer Vision courses. Collaborative projects involve multi-agent systems, intent recognition, and spiking neural networks for pattern analysis.

Olivier LartillotView profile

Researcher

• Computational Music Analysis
• Artificial Intelligence
• Music Information Retrieval
• +6 more

Olivier Lartillot is a Researcher at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. His work focuses on computational music and sound analysis, artificial intelligence, and music information retrieval. He developed the MIRtoolbox and MiningSuite frameworks, tools widely used in music analysis. Previously, he held roles including Academy of Finland Research Fellow (2009–2014) and postdoctoral positions at the Finnish Centre of Excellence in Interdisciplinary Music Research. Education: PhD in Music and Acoustics from IRCAM/UPMC Paris (2000–2004); Master’s in Musicology from Sorbonne University (1996–1999). Research Projects: MIRAGE (AI-based music analysis), SoundTracer (Norwegian folk music transcription), HIGH-M (music and health interaction). His research interests span computational models of music structure, cross-cultural music analysis, and applications in music therapy and digital heritage. He has authored over 80 articles (3,000+ citations) and contributed to initiatives like the Norwegian Folk Music Archive digitization. He is a member of the editorial board for Transactions of the International Society for Music Information Retrieval and an expert evaluator for EU Horizon 2020 programs. His work bridges technical innovation with musicological theory, addressing challenges in automated transcription, segmentation, and expressive performance analysis.

• Robotics
• Biomechanics
• Human-Machine Interaction
• +3 more

Jonathan Lin is an Adjunct Assistant Professor at the University of Waterloo, specializing in robotics and biomechanics with a focus on human motion analysis and assistive technologies. His research spans rehabilitation engineering, human-robot interaction, and sensor systems for clinical and mobility applications. Key research areas include real-time pose estimation for assistive robots, motion segmentation for rehabilitation monitoring, and humanoid robotics learning from human demonstrations. He has contributed to projects like the SkyWalker mobility aid robot and Segway-riding humanoid systems. His work bridges robotics, biomechanics, and healthcare, emphasizing practical applications in aging populations and clinical settings. No scientific awards are listed, but his publications reflect interdisciplinary innovation in motion analysis and assistive technologies. Advising and grants details are not explicitly provided, though collaborations with robotics and biomedical engineering teams are implied through his research outputs. His lab or team affiliations remain unspecified in the provided texts.

• Numerical Abilities in Animals
• Visual Perception in Primates
• Non-symbolic Numerical Estimation
• +3 more

Christian Agrillo is an Associate Professor at the Department of General Psychology, University of Padova. His research focuses on numerical cognition across species, visual perception in primates, and the psychology of music. He investigates how non-human animals (e.g., zebrafish, guppies) and humans perceive numerical quantities, spatial relationships, and visual illusions. Recent work includes studies on musical perception in professionals and susceptibility to illusions in domestic animals like dogs and cats. His research spans comparative psychology, behavioral ecology, and cognitive neuroscience. Key topics include quantity discrimination in fish, color discrimination in piranhas, and the application of operant conditioning in larval zebrafish. He collaborates on environmental enrichment strategies for captive fish using visual illusions. Agrillo’s articles explore cross-species perceptual mechanisms, emphasizing methodological rigor in studying animal cognition. His work bridges basic science with applied topics like animal welfare and music psychology.

Katharina von KriegsteinView profile

Professor

• Neuroscience
• Cognitive Science
• Clinical Neuroscience
• +5 more

Katharina von Kriegstein is a Professor of Cognitive and Clinical Neuroscience at Technische Universität Dresden (since 2017). Previously, she held positions at Humboldt University Berlin (2013–2017) and led a Max Planck Research Group (2009–2018). Her research focuses on sensory processes underlying human communication, employing neuroimaging, neurostimulation, and behavioral techniques. She explores communication impairments in developmental disorders and neurological patients, particularly investigating auditory and visual thalamic dysfunction in dyslexia and autism. Her work is supported by an ERC Consolidator Grant (2015) and has contributed to understanding sensory pathway roles in speech-in-noise recognition and voice identity processing. Key findings include thalamic structural abnormalities linked to dyslexia and autism, as well as predictive coding mechanisms in auditory pathways. Education: Medical License (Approbation), 2003 Dr. med., summa cum laude, University of Göttingen (1994–2001) Philosophy studies, University of Göttingen (1995–1997) Studium generale, Leibniz-Kolleg, Tübingen (1993–1994) Key Projects: Leading Subproject A11 in CRC 940 (goal-directed behavior) Investigating thalamic roles in communication (e.g., auditory/visual speech perception) Her research integrates clinical, cognitive, and computational approaches. Recent work highlights multisensory learning benefits for auditory processing and the causal role of sensory cortices in vocabulary translation. Awards include the Max Planck Research Group (2009) and best doctoral thesis in Experimental Medicine (2002).

Massimiliano TamborrinoView profile

Associate Professor

• Stochastic Processes
• Approximate Bayesian Computation (ABC)
• Parallel-in-Time Numerical Methods
• +4 more

Massimiliano Tamborrino is an Associate Professor in the Department of Statistics at the University of Warwick since August 2024. He holds a WIHEA Fellowship (2023-2026) and has organized the One World ABC Seminar (2020–present), focusing on approximate Bayesian computation (ABC) and simulation-based inference. He co-organizes the BioInference conference series, which explores mathematical modeling in biological systems. His research integrates stochastic processes, numerical methods, and statistical inference, with applications in neuroscience, biology, and parallel-in-time algorithms. Education: PhD in Probability Theory and Statistics from the University of Copenhagen (2013), supervised by Prof. Susanne Ditlevsen. Previously held roles include University Research Assistant at JKU Linz (2014–2019) and Postdoc at the University of Copenhagen (2012–2014). Research interests include stochastic processes (diffusions, point processes), parallel-in-time numerical schemes (PinT), and ABC methods. His work bridges stochastic numerics with computational statistics, particularly in neuroscience and biological systems. He has developed R packages for exact simulation of non-Gaussian processes (e.g., shot noise, OU processes). Awards: WIHEA Fellow (2023–2026). Active in grants, including leadership of the EPSRC-funded project on AI-informed decision-making using Decision Field Theory. Teaching responsibilities include ST232/ST233: Introduction to Mathematical Statistics for undergraduate students.