Find Academic Supervisors

• Virtual Assembly
• Aerospace Engineering
• Virtual Reality Applications
• +4 more

Fei Shao is a Senior Lecturer in Mechanical and Manufacturing Engineering at the University of Derby, affiliated with the College of Science and Engineering. His research focuses on virtual engineering, product design, and human-machine interaction. Key areas include virtual assembly for aerospace applications, immersive virtual reality systems for design review, tactile sensation measurement, and biomimetic engineering. Shao's work spans over 15 years, with contributions to aerospace assembly optimization, human postural control in virtual environments, and the development of advanced tactile feedback systems. He is associated with the Virtual Engineering Centre, which explores multidisciplinary design optimization and prototyping. His research integrates mechanical engineering, neuroscience, and human factors to address challenges in manufacturing, healthcare, and product development. Notable projects include the creation of 1:1 scale virtual reality systems for automotive design and the analysis of osseointegration in prosthetic implants. His articles highlight trends in applying immersive technologies to industrial and medical contexts, emphasizing collaboration between disciplines. Shao has no listed scientific awards but maintains an active research portfolio with 57 total views of his outputs in the University of Derby Repository. His work often bridges theoretical engineering principles with practical industry applications, focusing on enhancing product quality, user experience, and safety through advanced simulation techniques.

Daniel HannonView profile

Professor

• Human Factors Engineering
• Cognitive Systems Engineering
• Assistive Technology
• +12 more

Daniel Hannon is a Professor of the Practice in the Department of Mechanical Engineering at Tufts University School of Engineering . His work bridges industry practice and academic research in human factors engineering, with a focus on transportation human factors , medical product design , educational technology , and team performance . As an educator, he specializes in teaching human factors engineering at undergraduate and graduate levels through courses like Applied Behavioral Stats Eng, Human-Machine System Design, and Special Topics in Assistive Design. Education: Ph.D. in Experimental Psychology, Brown University (1991) M.Sc. in Experimental Psychology, Brown University (1987) B.A. in Psychology, Nazareth College (1985) M.S. in Community Mental Health Counseling, Southern New Hampshire University (2008) Hannon's research interests span visual perception , cognitive systems engineering , universal design , and assessments of speech-motor coordination in autism . His recent work includes developing noninvasive biomarkers for mental state and serious games for collaborative dark network discovery . His publications highlight interdisciplinary collaborations with institutions like MIT Lincoln Laboratory , U.S. Department of Defense , and National Science Foundation . Notable grants include MIDAS (Multisensory Interactive Data Analysis System) and InterLACE (Interactive Learning and Collaborative Environment). Scientific awards include the Award of Excellence from ASME , Ergonomics in Design Best Paper Award , and Employee Excellence Award from the U.S. Department of Transportation . Hannon's professional activities include developing academic certificates (Assistive Design, Human Factors in Data Science) and coordinating the Human Factors Engineering Speaker Series at Tufts University. He serves in organizations like the Human Factors and Ergonomics Society and American Psychological Association .

• Movement Biomechanics
• Biomedical Engineering
• Musculoskeletal Disorders
• +3 more

Dr. John Buckley is a Reader in Movement Biomechanics at the University of Bradford's School of Engineering, within the Faculty of Engineering & Digital Technologies. He specializes in biomechanical modeling to study movement adaptations in individuals with musculoskeletal abnormalities or sensory impairments. His work focuses on gait analysis, prosthetic design, and the impact of visual impairments on mobility. Notably, he has explored how correctable visual impairments affect balance in elderly populations and the efficacy of advanced prosthetic technologies. Dr. Buckley holds a Clinical Scientist registration and is a member of several professional societies. Research Interests: Dr. Buckley’s research integrates motion analysis and biomechanical modeling to investigate locomotion adaptations. Key areas include: Visual and sensory influences on gait stability Prosthetic limb design and biomechanics Fall prevention strategies for older adults Application of AI and RF sensing in healthcare Scientific Contributions: His recent work addresses stair negotiation safety, smartphone-based clinical assessments, and RF sensing for bone healing. He has published extensively across biomechanics, prosthetics, and clinical engineering. Professional Recognition: He is a Fellow of the Higher Education Academy and contributes to committees advancing biomechanical research.

• Exercise Physiology
• Fall Prevention
• Muscle Degeneration
• +4 more

Dr. Susan Dewhurst is an Associate Professor and Head of the School of Allied Health and Exercise Sciences at Bournemouth University, specializing in Exercise Physiology within the Department of Rehabilitation and Sport Sciences. With prior experience as a lecturer and researcher in Scotland, NW England, Denmark, Rome, and as a Senior Scientific Officer at the Ministry of Defence, she integrates multidisciplinary expertise into her work. Her research focuses on fall prevention in older adults, addressing age-related balance vulnerabilities and developing interventions to mitigate muscle degeneration and frailty risks. She leads community-based projects for fall screening and explores strategies to enhance stability in individuals with Chronic Kidney Disease undergoing dialysis. Dr. Dewhurst’s peer-reviewed work spans topics like neuromuscular adaptations, respiratory physiology in menopausal women, and the biomechanics of aging. She has secured grants from UKRI and The Dowager Countess Eleanor Peel Trust. Her supervisory interests include fall prevention, muscle degeneration, and health aging aligned with her expertise.

• Psychometrics
• Psychological Assessment
• Educational Measurement
• +4 more

Dragoș Iliescu is a Full Professor at the Faculty of Psychology and Educational Sciences of the University of Bucharest and an Extraordinary Professor at Stellenbosch University . He has extensive leadership experience, including heading the doctoral school at Bucharest and serving as Editor-in-Chief of Intelligence , a leading journal in cognitive skills research. University : University of Bucharest Secondary Affiliation : Stellenbosch University School : Faculty of Psychology and Educational Sciences Department : Psychology Academic Rank : Professor His research interests focus on psychometrics , psychological assessment , work and organizational psychology , and cross-cultural test adaptation . Recent publications highlight his work on international competency models , job insecurity , well-being measurement , and quiet eye dynamics in sports. Notable editorial leadership roles include past Editor-in-Chief of the European Journal of Psychological Assessment and current Editor-in-Chief of Intelligence . Scientific Leadership : International Test Commission President IAAP Division 2 President Editor-in-Chief of Intelligence Key Contributions : Co-editor of International Handbook of Testing and Assessment (OUP, 2016) Author of Adapting Tests in Linguistic and Cultural Situations (CUP, 2018) Over 200 scientific publications Consultancy : 25 years of projects in psychological assessment for commercial/government sectors across four continents.

Scott A. KuhlView profile

Associate Professor

• Computer Graphics
• Virtual Reality
• Immersive Virtual Environments
• +3 more

Scott A. Kuhl is an Associate Professor of Computer Science at Michigan Technological University, with an affiliated appointment as an Associate Professor in Psychology and Human Factors. He holds a PhD in Computer Science from the University of Utah (2009) and undergraduate degrees in Computer Science and Mathematics from Augsburg University. His research focuses on computer graphics, immersive virtual environments, head-mounted displays (HMDs), and human spatial perception, with an emphasis on improving VR technologies for practical applications. He leads the Husky Game Development Enterprise (HGD), where students create games for business, education, and entertainment, releasing titles on platforms like itch.io. He advises on curriculum development for robotics and automation education, emphasizing open-source tools and industry collaboration. His work is supported by grants such as the NSF-funded Immersive Visualization Studio (CNS-1229297). Dr. Kuhl’s labs include the Immersive Visualization Studio (50-megapixel display with Vicon tracking) and the Virtual Environment Lab (WorldViz PPT tracking, NVIS nVisor ST HMD). He has received awards including the Best Full Paper at VRST 2009 and the Best ATMAE Conference Proceedings Paper in 2016. His research spans human perception in VR, HMD design, and interdisciplinary education. Grants and collaborations include partnerships with industry and academic institutions to enhance robotics education and VR technology. He mentors students in game development, virtual reality research, and perceptual studies, fostering a dynamic research and educational environment at Michigan Tech.

Florian GrondView profile

Assistant Professor

• Spatial and Immersive Audio
• Assistive Technology Design
• Critical Disability Studies
• +6 more

Florian Grond is an Assistant Professor in the Department of Design and Computation Arts within Concordia University's Faculty of Fine Arts. His interdisciplinary work bridges media arts, technology, and disability studies through innovative sonic research. His research focuses on Spatial and Immersive Audio , Assistive Technology Design , and Critical Disability Studies , with significant contributions to auditory display, human-computer interaction, and participatory design methodologies. Grond develops technologies that center disability perspectives, particularly through collaborations with blind scholars and autistic individuals. His publication trends reveal strong specialization in 3D sound recording techniques using Ambisonic microphone arrays Biomusic systems for autism intervention Ethical frameworks for disability technology Artistic sonification practices with recent work advancing brain-computer interfaces and spatial audio reproduction. Grond actively engages in artistic practice through installations like DELAY (collaborating with Mary Sherman and Piet Devos) and has curated disability-focused exhibitions including Hands On! at Concordia's Critical Disability Studies Working Group. His academic trajectory includes postdoctoral research at McGill University's CIRMMT and Shared Reality Lab, where he pioneered 6-degrees-of-freedom sound recording systems. He previously served as research lead for ZYLIA, a VR/AR microphone array company.

Edward SilsonView profile

Professor

• Human Cognitive Neuroscience
• Visual Perception
• Memory Systems
• +3 more

Edward Silson is a Professor and Reader in Human Cognitive Neuroscience at the University of Edinburgh’s School of Philosophy, Psychology and Language Sciences. He holds a PhD in Visual Neuroscience from the University of York and previously worked at the NIH in Washington DC. His research focuses on visual perception, memory systems, and neuroimaging techniques. Education: BSc Psychology (2009), University of York MSc Cognitive Neuroscience (Distinction, 2010), University of York PhD Visual Neuroscience (2013), University of York Research Interests: Silson investigates the functional organization of visual cortex, visual-memory interactions, and retinotopic biases. His work combines fMRI, neurostimulation, and computational modeling to explore how visual systems interact with memory. Recent Trends in Articles: Silson’s recent work emphasizes retinotopic coding’s role in perception-memory systems, visual field biases in category-selective regions, and the neural basis of scene processing. Funding: He leads a BBSRC-funded £800k project (2021) on scene processing with Prof. Tony Morland. This collaboration includes postdoc positions at Edinburgh and York. Lab & Collaborations: The lab focuses on visual cognition and employs techniques like MEG, TMS, and eye-tracking. Jessica Teed is a current PhD student.

• Memory and Forgetting Mechanisms
• Cognitive Neuroscience
• Visual Cognition
• +3 more

Associate Professor Irina Harris is affiliated with the School of Psychology at the University of Sydney. She holds a PhD in Medicine (2002) from the University of Sydney and previous roles include ARC Future Fellow (2010-2015) and ARC Queen Elizabeth II Fellow (2005-2009). Her research focuses on mechanisms of memory, forgetting, visual cognition, and selective attention, employing methods like behavioral experiments and transcranial magnetic stimulation. Key grants include studies on memory precision (2024) and cognitive control (2016). Education: PhD (Medicine, 2002), MSc (Clinical Neuropsychology, 1997), BSc (Hons) (Psychology, 1994) Teaching: Coordinates PSYC3012 Cognitive Psychology and teaches PSYC3014 and PSYC1002. Awards: Multiple ARC fellowships and grants. Her work explores adaptive forgetting, object recognition, and perceptual binding. Recent articles address spatial navigation effects of diet and neural mechanisms of perceptual integration.

• Neuroengineering
• Neural Signal Processing
• Biomedical Signal Analysis
• +3 more

Balbir Singh is a Research Assistant Professor of Biomedical Engineering at Vanderbilt University, affiliated with the School of Engineering. His research focuses on neural signal processing, brain-computer interfaces, and cognitive neuroscience, with an emphasis on understanding neural mechanisms underlying memory, decision-making, and motor control. His work integrates electrophysiological techniques, advanced signal processing algorithms, and computational models to decode brain activity patterns. Key research areas include analyzing local field potentials (LFPs), studying oscillatory brain activity during cognitive tasks, and developing methods to enhance signal quality in biomedical recordings. He has contributed to advancements in EEG/EOG artifact removal, BCI system design, and neuroplasticity studies. His recent work explores how prefrontal cortex activity relates to working memory performance and decision-making processes in both human and primate models. Dr. Singh’s publications highlight interdisciplinary approaches, combining experimental neuroscience with engineering solutions to address challenges in neural decoding and clinical applications. His studies often involve collaborations to translate findings into practical tools for monitoring cognitive states and improving neuroprosthetic systems.

Michael S LandyView profile

Professor

• Sensory Decision-Making
• Multisensory Integration
• Spatial Vision
• +5 more

Michael S Landy is a Professor of Psychology and Neural Science at New York University, affiliated with the College of Arts & Science. He holds a Ph.D. in Computer and Communication Sciences from the University of Michigan (1981) and has been at NYU since 1981, progressing through academic ranks to full Professor in 1997. His research focuses on visual perception, action, and computational modeling, with key areas including sensory decision-making, multisensory integration, spatial vision, depth perception, and motor control. His lab explores how humans combine sensory cues (e.g., visual, tactile, auditory) under uncertainty and how these processes interact with neural mechanisms. Recent work addresses causal inference in multisensory perception, neural coding of motion signals, and Bayesian models of perception. He serves as director of the Landy Lab, advancing interdisciplinary research at the intersection of psychology, neuroscience, and computer science. Education: Ph.D., Computer and Communication Sciences, University of Michigan (1981) M.S., Computer and Communication Sciences, University of Michigan (1976) B.S., Columbia University (1974) Research Interests: Sensory Decision-Making: How humans set perceptual criteria and estimate confidence under uncertainty. Cue Integration: Optimal combination of visual, tactile, and auditory information (e.g., depth cues). Visual Action: Visually guided movements (e.g., eye/limb control under risk and cost constraints). Depth Perception: Neural and computational mechanisms for estimating 3D layout from binocular, motion, and pictorial cues. Neural Models: Linking psychophysics with neural responses in visual cortex (e.g., fMRI studies of texture and motion processing). Lab & Collaborations: The Landy Lab conducts interdisciplinary research with collaborations in neuroscience, computer science, and mathematics. Current projects include studying causal inference in multisensory systems, neural mechanisms of motion perception, and Bayesian models of perception-action cycles.

Elaine YehView profile

Research Professor

• Cell Biology
• Molecular Biology
• Genetics
• +7 more

Elaine Yeh is a Research Professor in the Department of Biology at the University of North Carolina at Chapel Hill. Her research focuses on understanding mitosis in yeast, particularly the roles of microtubule motor proteins like dynein and chromosomal components such as kinetochores and cohesins in maintaining genome integrity during cell division. She combines genetics with live-cell microscopy to study spindle dynamics and nuclear organization. Research interests include the structural organization of kinetochores, the contribution of pericentric chromatin to spindle length regulation, and the mechanisms by which cohesion proteins (e.g., Smc3) and chromatin remodeling factors (e.g., Cac1) ensure accurate chromosome segregation. Her work leverages budding yeast as a model system due to its genetic tractability and conservation of key components across species. No scientific awards are explicitly listed, but her lab's contributions to mitotic research are highlighted through ongoing projects. She oversees a lab with advanced microscopy tools, as evidenced by her lab website and visualized data (e.g., Figure 1 and 2). No formal advising or grant details are provided in the text. Her lab’s future directions emphasize dissecting the interplay between cytoskeletal elements and chromosomal architecture in maintaining genomic stability.

Zachary EstesView profile

Professor

• Consumer Behavior
• Marketing
• Cognition
• +3 more

Zachary Estes is a Professor of Marketing at Bayes Business School, City, University of London, and holds roles as Director of Research for the Faculty of Management and Co-Director of the Behavioural Research Lab. He earned a PhD in Psychology from Princeton University. His research focuses on cognition, emotion, and consumer behavior, with a emphasis on multisensory interaction, shopping behavior, and marketing strategies. His work has been published in top journals and highlighted in media such as BBC Radio, Scientific American, and The New Yorker. Estes has held positions at Bocconi University and the University of Warwick, and has received teaching awards from both institutions. He has contributed to editorial boards of journals like the Journal of Consumer Research and Cognitive Science. His studies explore topics ranging from the impact of shopping cart design on purchasing behavior to the role of olfactory imagery in product evaluations. Education: PhD in Psychology, Princeton University Affiliations: Bayes Business School (since 2020), Bocconi University (2012–2020), University of Warwick (2005–2012) Research interests include consumer decision-making, cognitive psychology, and the integration of emotion into marketing strategies. His recent work examines how physical cues like shopping cart handles influence purchasing through muscle activation, demonstrating that parallel handles increase sales by activating flexor muscles. Other studies investigate the influence of visual and olfactory stimuli on consumer perceptions. Awards include teaching excellence at both Warwick and Bocconi. Grants and funding have supported projects on behavioral research in marketing, including studies on sensory marketing and consumer behavior dynamics. Estes collaborates with industry partners to apply findings in real-world settings, such as optimizing shopping cart designs for retail environments.

Sung Soo KimView profile

Assistant Professor

• Neuroscience
• Neural Circuits
• Behavioral Neuroscience
• +6 more

Sung Soo Kim is an Assistant Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of California, Santa Barbara (UCSB), with affiliations in UCSB Neuroscience. His research focuses on understanding how the brain integrates multi-sensory information to enable navigational decisions, using Drosophila melanogaster as a model organism. Techniques employed include two-photon calcium imaging, optogenetics, electron microscopy, and computational modeling. Education & Awards: Recipient of prestigious awards such as the NSF CAREER Award, McKnight Scholar Award, and NIH Director's New Innovator Award. He holds scholarships from The Samsung Foundation and The Rotary Foundation. Research Interests: The lab investigates neural circuits underlying spatial navigation and cognitive behavior. Key topics include compass-like neural representations, visuomotor computations, and circuit dynamics. They combine experimental and computational approaches to map neural circuits at synaptic resolution. Grants & Collaborations: Active grants include NIH and NSF funding. Collaborations involve projects like the FlyWire Consortium for neuronal wiring diagrams and EM connectomics. Labs & Teams: Leads the Sung Soo Kim Lab at UCSB, which integrates molecular, cellular, and computational approaches. The lab actively recruits graduate students and postdocs with interests in neuroscience and quantitative biology.

Jeff BrownView profile

Lecturer

• Neuroscience
• Neurophysiology
• Invertebrate Behavior

Jeff Brown is a Lecturer and General Manager of CommRadio at Pennsylvania State University, based in the Bellisario Media Center. His research focuses on fundamental neurophysiological mechanisms in invertebrate models, examining neural circuit function, behavioral control systems, and evolutionary neurobiology. Brown's publications investigate diverse aspects of neurobiology including motor pattern generation, sensory processing, neurotransmitter function, and computational modeling of neural systems. His work primarily utilizes gastropods and other invertebrates to explore conserved neural principles. Research emphases include: Neurophysiological basis of locomotion and defensive behaviors Evolutionary conservation of neural architectures Neurotransmitter modulation of behavior Computational approaches to neural circuit analysis His laboratory employs techniques ranging from electrophysiology and neuropharmacology to advanced imaging and computational simulations.