Find Academic Supervisors

• Motor Control
• Multisensory Integration
• Neuromechanics
• +3 more

Gerome Manson is an Assistant Professor in the School of Kinesiology and Health Studies at Queen’s University. His research focuses on understanding how sensory information influences motor control and multisensory integration during goal-directed actions. He holds a PhD from the University of Toronto and l’Université d’Aix Marseille, alongside degrees in MSc and BPHE from the University of Toronto. Research Themes: 1) Sensory influence on somatosensory target mapping, 2) Neural networks in rapid motor control, 3) Multisensory perception during movement execution. His work combines motion tracking, neuroimaging, and sensory manipulation to explore sensorimotor processes. Teaching: Undergraduate courses include KNPE 237 (Child & Adolescent Motor Development) and KNPE 254 (Biomechanical Analysis of Human Movement). He mentors students through his Sensorimotor Exploration Lab, offering volunteer and graduate research opportunities in motor learning and neuromechanics. Publications span topics like spinal stimulation effects, age-related sensorimotor differences, and motor strategy adaptations. His lab emphasizes interdisciplinary approaches to advancing understanding of human movement control.

Raymond Bruce IglayView profile

Associate Professor

• Wildlife Damage Mitigation
• Conservation of Biodiversity
• Habitat Management and Restoration
• +3 more

Dr. Raymond Bruce Iglay is an Associate Professor of Wildlife Ecology at Mississippi State University, affiliated with the College of Forest Resources and the Department of Wildlife, Fisheries & Aquaculture. He serves as the WFA Graduate Program Coordinator and Faculty Liaison for the Wildlife Services National Training Academy. His education includes a PhD in Forest Resources (Mississippi State University), an MS in Wildlife and Fisheries Science, and a BS in Wildlife Ecology from the University of Delaware. Research focuses on wildlife damage mitigation, biodiversity conservation in managed landscapes, habitat restoration, plant succession, and innovative technologies like drones for wildlife monitoring. He teaches courses on wildlife habitat management, vegetation identification, and human-wildlife conflict resolution. His lab emphasizes applied research addressing stakeholder concerns in dynamic ecosystems. Publications span 2004–2024, covering drone-based wildlife surveys, wild pig behavior, invasive species control, and ecological impacts of land management. Awards include the 2024 MSU College of Forest Resources Teaching and Publication Awards and The Wildlife Society’s Early Career Achievement Award. He is a Fellow of The Wildlife Society and active in organizations like Partners in Amphibian and Reptile Conservation. Grants and lab activities involve collaborations on biodiversity monitoring, agricultural pest management, and technology integration in conservation. His Iglay Lab supports graduate students (e.g., Jacob Wessels, Simone Danisi) and hosts projects on drone thermal imaging, hair snare methods, and tidal marsh restoration. Current research explores drone noise impacts on wildlife surveys and vinegar-based herbicide alternatives for invasive plants.

Michael EagleView profile

Assistant Professor

• Educational Data Mining
• AI in Education
• Intelligent Tutoring Systems
• +4 more

Michael Eagle is an Assistant Professor in the Information Sciences and Technology Department at George Mason University, and a founding member of the Center for Advancing Human-Machine Partnership (CAHMP). His work focuses on deriving insights from complex interaction data in intelligent tutors and video games, educational game design, and individualized student modeling in genetics education. He holds a PhD from North Carolina State University (2015) and completed a postdoctoral fellowship at Carnegie Mellon University's HCI Institute until 2018. Prior academic roles include data science positions at Blizzard Entertainment and Warner Bros. Interactive Entertainment. Research interests include educational data mining, AI-driven pedagogy, and measuring computational thinking through block-based programming environments. He has pioneered frameworks for hypothesis-driven learning analytics and game-based science education. His work bridges traditional computer science with innovative educational technologies, emphasizing real-time analytics and adaptive learning systems. Awards: NSF GRFP Honorable Mention, GAANN Fellowship, Freeman-ASIA Grant International Collaboration: Conducted NSF-funded research in Japan with University of Electro-Communications Labs/Teams: Co-leads CAHMP initiatives at George Mason Eagle's recent publications emphasize predictive modeling for learner interventions, real-time instructor dashboards, and the impact of AI-powered educational tools. His research demonstrates significant contributions to both theory and practical applications in edtech innovation.

Oscar DenizView profile

Professor

• Computer Vision
• Machine Learning
• Pattern Recognition
• +5 more

Oscar Deniz is a Full Professor at the University of Castilla-La Mancha (UCLM) and a prominent researcher in computer vision and machine learning. He leads research within VISILAB, focusing on applications in medical imaging, security systems, and adversarial example detection. He has held visiting researcher positions at Carnegie Mellon University, Imperial College London, and Leica Biosystems. Deniz is affiliated with IEEE (Senior Member), AAAI, SIANI, CEA-IFAC, AEPIA, AERFAI-IAPR, and the Computer Vision Foundation. His academic contributions include over 50 publications, two books on OpenCV, and leadership in European projects like 'Eyes of Things' (awarded multiple prizes including Google’s 2016 IoT Award and the 2019 European Commission Innovation Award). He coordinates projects such as BONSEYES and AIDPATH, advancing digital pathology and edge computing. His work integrates AI into microscopy, weapon detection, and medical diagnostics. Research interests span deep learning, medical image processing, and security technologies. Notable achievements include developing the BUS-UCLM dataset for breast ultrasound lesions and MicroHikari3D, an affordable automated microscopy platform. Awards include the Marie Curie Fellowship and runner-up recognition for his PhD work in computer vision. Deniz teaches courses like Computer Vision and Computer Science fundamentals, and his lab’s innovations are adopted by companies like Existor and incorporated into OpenCV. He actively reviews for EU programs (Eurostars, H2020 TULIPP) and contributes to academic journals like PLoS ONE.

• Computer Vision
• Machine Learning
• Data Mining
• +5 more

Vassilis Athitsos is a Professor in the Computer Science and Engineering department at the University of Texas at Arlington . He holds a PhD in Computer Science from Boston University (2006), an MS in Computer Science (1997), and a BS in Mathematics (1995) from the University of Chicago. Education: PhD, Computer Science (2006), Boston University MS, Computer Science (1997), University of Chicago BS, Mathematics (1995), University of Chicago His research focuses on Computer Vision , Machine Learning , Data Mining , and applications in Gesture & Sign Language Recognition , Face Recognition , and Human Activity Analysis . Recent work includes depth-based 3D hand pose estimation, GAN applications for image restoration, and multimodal systems for cognitive assessment in children. Key research trends include depth video analysis , GAN-based translation , action segmentation , and medical imaging applications . He has received multiple scientific awards including the NSF CAREER Award (2011) and ACM Ten-Year Technical Impact Award (2023). Grants: NSF CAREER: $651,563 (2011-2017) NSF Collaborative Research: $1.37M (2016-2023) NSF PFI: $1.03M (2017-2023) NSF MRI: $879,890 (2013-2018) NSF CI-P: $116,000 (2014-2017) Grants from Private/State Sectors: Macnica Americas: $42,813 (2022-2023) Macnica Americas: $88,320 (2017-2018) Gordian Health: $9,001 (2013) Texas State Grant: $50,000 (2010) He has advised over 40 graduate students and served on numerous dissertation, thesis, and doctoral committee roles . His teaching includes Machine Learning , Computer Vision , and Research in Computer Science courses at the graduate level, along with undergraduate programming and algorithms classes.

Christian MicheloniView profile

Associate Professor

• Pattern Recognition
• Active Vision
• Neural Networks
• +3 more

Christian Micheloni is an Associate Professor at the University of Udine's Department of Mathematics and Computer Science. He holds a Laurea (cum Laude) and Ph.D. in Computer Science from the University of Udine (2002 and 2006 respectively). His research focuses on Active Vision, Pattern Recognition, and Resource Aware Networks. He has been involved in European projects like MUSAS (2008-2010) and HAMLet (2006-2008), and collaborates with international research centers and industry. Key research areas include person re-identification using neural networks, trajectory analysis, and camera network optimization. He has received the Best Paper Award at the International Conference on Distributed Smart Cameras (2014) and serves as an editor for the IEEE Journal of Selected Topics in Signal Processing. His work emphasizes real-time surveillance systems and adaptive sensor networks to manage computational and power constraints. Micheloni teaches courses like Artificial Vision and advises post-doctoral researchers. He maintains an active lab (AVires Lab) and offers post-doctoral positions. His publications span journals like IEEE Transactions on Pattern Analysis and Machine Intelligence, and conferences such as CVPR and ICCV.

Mubarak ShahView profile

Professor

• Computer Vision
• Video Surveillance
• Visual Tracking
• +7 more

Dr. Mubarak Shah is the Trustee Chair Professor of Computer Science and Founding Director of the Center for Research in Computer Vision (CRCV) at the University of Central Florida. His research focuses on computer vision, including video surveillance, visual tracking, human activity recognition, and UAV video analysis. He has held prestigious fellowships from ACM, NAI, AAAS, IAPR, and IEEE. Roles: Trustee Chair Professor, Director of CRCV, Graduate Faculty Member Affiliations: University of Central Florida, College of Engineering and Computer Science Research interests span visual analysis of crowded scenes, video registration, and privacy-aware diffusion models. He has pioneered geolocalization techniques and multimodal learning frameworks. His work impacts security, autonomous systems, and medical imaging. Recent publications emphasize diffusion models, 3D object detection, and adversarial learning. His work has been presented at CVPR, ECCV, and NeurIPS. Awards: Pegasus Professor (2006) ACM SIGMM Technical Award (2019) Multiple fellowships and recognitions from IEEE, AAAS, and others Advising and mentorship include over 50 graduate students and NSF REU programs. He leads CRCV, a hub for interdisciplinary vision research, and contributes to high-impact datasets like MAVREC. Labs/Teams: CRCV hosts cutting-edge projects in geolocalization, action recognition, and medical vision. Collaborative efforts include global partnerships in AI and robotics.

Christina HowardView profile

Associate Professor

• Psychology
• Visual Attention Capacity
• Attention to Dynamic Objects
• +5 more

Christina Howard is an Associate Professor in Psychology at the School of Social Sciences, Nottingham Trent University. She teaches on undergraduate and postgraduate Psychology courses, supervises PhD students, and actively conducts research in visual attention and cognitive processes. Her work focuses on understanding visual attention capacity, dynamic object tracking, and scene perception, often employing experimental and quantitative methodologies. Her research explores topics such as the neuropsychological basis of object representation, temporal updating in multiple object tracking, and attention allocation in dynamic scenes. She collaborates with institutions like the University of Birmingham Cognitive Neuropsychology Group and Sydney University Perception and Action Laboratory. Key areas of interest include perception and cognition, with a focus on visual attention mechanisms, visual memory, and perceptual expertise. Recent studies investigate how individuals track moving objects, monitor changing scenes, and develop perceptual skills through training. She has also examined the neural correlates of attention in conditions like migraine and mild cognitive impairment using EEG techniques. Christina's work bridges theoretical and applied domains, including lifeguard training for drowning detection and the development of real-world attention tasks like the Multiple Object Avoidance (MOA) task for driving and sports performance. While no specific awards are listed, her extensive publication record reflects sustained contributions to cognitive and clinical psychology. Her research has explored the relationship between sporting expertise and visual tracking ability, as well as the impact of environmental factors like noise on selective attention. She remains open to supervising projects on visual attention, visual memory, and perceptual skills, emphasizing experimental and quantitative approaches.

• Computer Vision
• Biological Vision
• Machine Learning
• +5 more

Heiko Neumann is a Professor at the University of Ulm heading the Vision and Perception Science Group, where his research investigates visual information processing mechanisms in biological and technical systems with emphasis on adaptation to dynamic environments. His work bridges neuroscience and computational approaches to advance understanding of biological vision while developing novel computational vision systems for real-world applications. Neumann's primary research spans computer vision, biological vision, machine learning, and neuromorphic engineering. He focuses on how visual systems process information and learn from changing environments, with applications in perceptual human-computer interfaces, biometric systems, automotive technologies, medical image analysis, and visually-guided robotics. His neural modeling provides insights into brain functions for visual sensory processing and behaviorally relevant tasks, driving innovations in computational vision mechanisms. Analysis of his 2023-2025 publications reveals a strong trend toward thalamo-cortical models for visual binding, deep learning for shape/motion understanding, and multimodal integration (visual-auditory). His research increasingly applies neural modeling to robotics and human-computer interaction, with growing emphasis on neuromorphic computing architectures and event-based vision systems. The work spans theoretical neuroscience and practical applications in medical imaging and autonomous systems, showing consistent integration of biological principles into artificial vision solutions. Neumann's research receives significant funding from the European Union, Bundesministerium für Bildung und Forschung (BMBF), and Deutsche Forschungsgemeinschaft (DFG). While specific advisees aren't listed in available materials, he leads an active research group with current and previous members as indicated on his institutional webpage (currently inaccessible due to 404/401 errors). He directs the Vision and Perception Science Group at the University of Ulm, conducting interdisciplinary research at the neuroscience-computer vision intersection. The group develops neural models to understand biological vision mechanisms and applies these insights to create advanced computational vision systems for applications including medical image analysis, automotive technologies, and robotics, with recent work emphasizing neuromorphic architectures and real-time visual processing.

• Vision Science
• Visual Perception
• Color Constancy
• +3 more

Marina Bloj is a Professor of Health Research at the University of Bradford's Faculty of Health Studies. Her research focuses on understanding human visual perception, particularly how eyes and the brain collaborate to process visual information. Her work integrates physics principles with experimental techniques like eye-tracking and reaction-time measurements to explore topics such as color constancy, binocular motion-in-depth perception, and visual memory. Current projects include collaborations with Professors Julie Harris (University of St Andrews) and Alex Wade (University of York) on neural processing of binocular motion, and work with Prof Karl Gegenfurtner in Germany on color memory of real objects. She has secured sustained EPSRC funding through interdisciplinary collaborations and leads projects addressing applied vision challenges. Her lab develops computational models of vision that predict human performance in tasks like camouflage detection and object recognition. Research interests span fundamental visual processes (e.g., light interaction with surfaces, depth perception) and applied areas such as clinical vision screening and public health interventions. She investigates how visual abilities develop over time, including aging effects and literacy impacts of vision correction. Her interdisciplinary approach bridges physics, neuroscience, and computer science, with outputs ranging from fMRI studies to psychophysical experiments. Notable collaborations include EPSRC-funded projects on lightness constancy and BBSRC-supported work on binocular motion pathways. Her work emphasizes real-world relevance, linking laboratory findings to everyday visual tasks such as driving, reading, and object recognition in dynamic environments. She actively publishes in high-impact vision science journals and mentors early-career researchers in her field.

Dennis K. PetersView profile

Professor

• Software Verification
• High-Performance Computing
• Parallel Processing
• +2 more

Dennis K. Peters is a Professor in Electrical and Computer Engineering at Memorial University, currently serving as Interim Associate Vice-president (Academic). His research spans software verification, high-performance computing, and marine simulation. With a PhD from McMaster University, he focuses on real-time systems and parallel processing applications in marine environments. Recent work includes unsupervised clustering for geological data and ship-iceberg discrimination using convolutional neural networks. His publications demonstrate consistent innovation in applying parallel computing to maritime challenges. Awards include the ECEDHA CHECE Leadership Award and IEEE J. J. Archambault Merit Award. As an active professional volunteer, he has chaired PEGNL and IEEE Newfoundland and Labrador Section. He teaches courses in software design and concurrent programming.

Daniel VoyerView profile

Professor

• Laterality (Brain hemisphere specialization)
• Sex-related cognitive differences
• Time perception
• +4 more

Daniel Voyer is a Professor in the Department of Psychology at the University of New Brunswick's Faculty of Arts. His research spans three primary areas: laterality and emotional processing, sex-related differences in spatial cognition, and time perception mechanisms. He teaches undergraduate statistics and graduate advanced research methods. PhD (University of Waterloo) MSc/BS (Université de Montréal) His research in laterality explores emotional priming and cerebral hemisphere specialization, while his work on cognitive differences investigates visuo-spatial task performance across genders. Recent studies examine affective influences on time estimation and spatial-auditory interactions. Key publication trends show consistent focus on: Brain lateralization mechanisms Gender-specific cognitive patterns Time perception anomalies Visuo-spatial processing Emotion-cognition interactions Methodological innovations Scientific Recognition : Faculty of Arts Teaching Award UNB Merit Award University Research Scholar His work combines psycholinguistic analysis, neuropsychological assessments, and experimental design to advance understanding of cognitive processing differences and temporal perception mechanisms.

• Computer Vision
• Augmented Reality
• Image Processing
• +4 more

Gerhard Roth is an Adjunct Professor in the Department of Computer Science at Carleton University, affiliated with the School of Computer Science. His research focuses on computer vision, augmented reality, and 3D modeling, with significant contributions to camera calibration, real-time tracking systems, and GPU-accelerated algorithms. He has pioneered work in markerless augmented reality, robust feature matching, and applications in robotics and medical imaging. Key research interests include augmented reality systems development , camera pose estimation , and biologically inspired vision algorithms . His work often bridges computer vision and graphics, addressing challenges such as realistic illumination in AR, efficient video copy detection, and collaborative gesture interaction. Publications span topics ranging from GPU-based visual cortex modeling to panoramic image stitching, reflecting a focus on practical, real-world applications. He collaborates with institutions like the University of Ottawa’s VIVA Lab on projects like TRECVID benchmarking and medical imaging analysis. Current efforts emphasize improving AR authoring tools and robust feature descriptors for dynamic environments. Notable contributions include the Projective Vision Toolkit , Command Center AR tool , and advancements in stereo vision algorithms. His research has implications for robotics, healthcare interfaces, and immersive visualization systems.

Adam EddyView profile

Assistant Professor

• Interdisciplinary Art
• Painting
• Sculpture
• +4 more

Adam Eddy is an Assistant Professor of Painting in the Art Studio program at the University of Alabama at Birmingham (UAB). He holds an MFA in painting/drawing from Boston University (2016) and an MFA in creative technologies from Virginia Tech (2022). His work bridges traditional media (oil painting, sculpture) with digital innovation (computer graphics, immersive tech). Research interests focus on exploring liminal spaces between human/machine, organic/mechanical, and past/future. He interrogates constructed dichotomies through interdisciplinary practices that challenge individualism and social hierarchies. Notable exhibitions include solo/group shows nationally and internationally. Previous academic roles include assistant professorships at Columbia College (studio art) and adjunct positions at College of Charleston (painting/drawing). Education: B.A., College of Charleston; M.F.A., Boston University; M.F.A., Virginia Tech Exhibitions: Over 20+ national/international venues documented Techniques: Oil painting, digital animation, interactive installations His recent works like Destiny (2024) and Temple (2023) exemplify his fusion of traditional and digital mediums. Projects like Surface Tension (2022) showcase sensor-driven interactive art, while Walk of the Sun (2021) blends documentary film with artistic process narratives.

Dieter SchmalstiegView profile

Professor

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +2 more

Dieter Schmalstieg is the Alexander von Humboldt Professor of Visual Computing at the University of Stuttgart's Faculty 5: Computer Science, Electrical Engineering and Information Technology, leading the Institute for Visualization and Interactive Systems (VIS). He also holds an adjunct professorship at Graz University of Technology's Institute of Computer Graphics and Vision. His research focuses on augmented reality (AR), virtual reality (VR), computer graphics, visualization, and human-computer interaction. He earned his Dipl.-Ing. (1993), Dr. techn. (1997), and Habilitation (2001) from Vienna University of Technology. He has authored/co-authored over 400 peer-reviewed publications, with over 29,000 citations and numerous awards, including the IEEE ISMAR Career Impact Award (2020) and the IEEE Virtual Reality Technical Achievement Award (2012). His professional roles include editorial leadership in top journals like IEEE Transactions on Visualization and Computer Graphics, and steering committee memberships in major conferences like IEEE ISMAR. Research interests span AR/VR applications, situated visualization, coherent rendering, spatial interaction, and medical visualization. Notable projects include the Christian Doppler Laboratory for Handheld Augmented Reality (2008–2015), and collaborations with industry partners like Qualcomm and VRVis. He has advised over 50 PhD students, many now professors or researchers globally. Grants include the Alexander von Humboldt Professorship (2023), SNAP Mixed Reality Lab funding, and EU projects like MiReBooks (mining education). His work bridges theory and application, with impactful contributions to AR/VR systems, medical visualization tools, and GPU techniques for real-time rendering.