Find Academic Supervisors

Alanson SampleView profile

Associate Professor

• Human Computer Interaction
• Cyber-Physical Systems
• Wireless Technology
• +4 more

Alanson Sample is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan (since 2018), leading the Interactive Sensing and Computing Lab. His research focuses on Human-Computer Interaction, Cyber-Physical Systems, and wireless technology innovations. He holds a PhD in Electrical Engineering from the University of Washington (2011), with prior postdoctoral work there developing implantable medical devices. Before academia, Sample held senior roles at Disney Research (2013-2018) as Executive Lab Director and Principal Research Scientist, leading teams in Robotics, AI, Computer Vision, and HCI. Earlier, he worked at Intel Labs (2008-2013) on energy harvesting for wearables and IoT. Key research themes include wireless power systems, embedded sensing, and privacy-aware technologies. Over 150+ publications span topics like magnetic sensing (MagDesk), acoustic gesture recognition (HandSAW), and privacy-preserving activity tracking (PrivacyMic). His work bridges academic and industry innovation, particularly in scalable interactive systems and medical technology. Notable projects include the Quasistatic Cavity Resonance wireless charging system, RFID-based sensing platforms (WISP), and wearable health monitoring devices. His lab develops hardware-software co-design frameworks for energy-efficient embedded systems. Current research emphasizes medical applications, smart infrastructure, and ubiquitous computing interfaces.

• Human-Computer Interaction
• Virtual Reality
• 3D User Interfaces
• +7 more

Dr. Robert J. Teather is an Associate Professor and the Director of the School of Information Technology at Carleton University in Ottawa, Canada. He previously served as an interim Director of the School of Information Technology during the 2022-23 academic year. His academic journey includes a PhD in Computer Science from York University (2013) and a postdoctoral fellowship at McMaster University (2015). Dr. Teather's educational background includes: PhD in Computer Science from York University (2013) Master's Thesis: "Comparing 2D and 3D Direct Manipulation Interfaces" from York University (2008), which was awarded the Joseph Liu Thesis Award Dr. Teather's research broadly falls under the field of human-computer interaction, with specialization in 3D user interfaces, virtual reality, and user interfaces for computer games. His work establishes methods for direct comparison of 2D and 3D interfaces for conceptually equivalent tasks, such as selection and manipulation interfaces. He investigates factors influencing human performance in VR, including stereo 3D graphics, haptic feedback, and head-tracking. His research also evaluates novel user interfaces like tilt control or touchscreens, and examines human performance with game input devices in complex tasks involving navigation, selection, and manipulation of objects in game environments. His research has been published extensively in top venues including IEEE VR, ACM SUI, and Graphics Interface. Among his notable scientific achievements are: NSERC Postgraduate Scholarship during his PhD studies Ontario Graduate Scholarship during his PhD studies Best Paper Honourable Mention at the ACM Symposium on Applied Perception 2020 Best Demo Award for SUI 2017 Joseph Liu Thesis Award (2008) Dr. Teather actively supervises graduate students at Carleton University, currently overseeing multiple PhD and Master's students in the areas of human-computer interaction and interactive digital media. His research is supported by NSERC and the Canada Foundation for Innovation, providing funding for his students and laboratory equipment. His students have produced research spanning VR as a persuasive tool to improve vaccine confidence, selection performance using smartphones in VR, and text entry methods in virtual reality environments. Dr. Teather leads a well-equipped CFI-supported lab focused on virtual and augmented reality research. His team works collaboratively on projects related to interactive virtual reality systems, computer game user interfaces, and input devices for 3D interaction. The lab environment fosters interdisciplinary research with opportunities for students to work on cutting-edge VR/AR technologies and contribute to the growing field of spatial computing.

Leah PerlmutterView profile

Assistant Professor

• Computer Science Education
• Belonging in Post-Secondary Computer Science
• Human-Robot Interaction
• +3 more

Dr. Leah Perlmutter is a tenure-track Assistant Professor in the Computer Science Department at Grinnell College, focusing on inclusive pedagogy and student belonging in post-secondary CS education. She earned her Ph.D. (2023) and M.S. (2020) in Computer Science and Engineering from the University of Washington, and her B.A. (2012) in Computer Science and Engineering from Colby College. Her research examines how course policies and teaching assistant interactions impact student inclusion in computer science, with a particular emphasis on resubmission opportunities and justice-centered approaches to teaching. Her work also includes human-robot interaction projects like GestureCalc (an eyes-free calculator for touchscreens) and EMAR (a social robot for emotional clarity support). Recent publications explore themes such as algorithmic ethics in education, student belonging in CS, and accessible interface design. She received the NSF Graduate Research Fellowship (2017) and the Outstanding Female Engineer Award (2018). At Grinnell, she teaches courses like Functional Problem Solving, Software Design, and Algorithms, Ethics, and Society.

• Information Security
• Privacy
• Autonomous Driving
• +5 more

Dr. Tatsuya Mori is a Professor at the Department of Computer Science and Communication Engineering , Faculty of Science and Engineering, Waseda University . He also holds visiting researcher positions at RIKEN Center for Advanced Intelligence Project (since 2018) and National Institute of Information and Communications Technology (since 2019). Education: Ph.D. in Information Science (2005), Waseda University Research Interests: Spanning information security and privacy across emerging technologies like autonomous driving , AI , 3D sensing , VR , biometric measurement , and Web3 . His work focuses on offensive security and interdisciplinary research , including physical-layer attacks on sensors and behavioral studies on phishing detection. Scientific Awards: Recipient of multiple prestigious awards, including the Distinguished Paper Award Runners-Up at IEEE EuroS&P 2024 , IPSJ Outstanding Paper Award 2024 , and CSS2024 Concept Research Prize . His research has been recognized in top conferences like USENIX Security , NDSS , and ACM CCS . Professional Leadership: Active in academic governance as Chief Investigator for NISC Working Groups and Committee Member for JST Research Areas . He serves on program committees for NDSS , IMC , and ACM CCS .

• Human-Computer Interaction
• Extended Reality (XR)
• Mobile Health Sensing
• +6 more

Karan Ahuja is the Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor of Computer Science at Northwestern University, directing the Sensing, Perception, Interactive Computing & Experiences (SPICE) Lab. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University (2023) and a B.Tech. in Computer Science (2017). His research focuses on creating technologies that sense and understand human behavior, with applications in mobile health, extended reality, and natural user interfaces. Key projects include LemurDx for ADHD diagnosis, EITPose for wearable hand pose tracking, and MobilePoser for full-body pose estimation via consumer IMUs. Awards include Forbes 30 Under 30 (2024), MIT 35 Innovators Under 35 Asia Pacific, and ACM SIGCHI's Outstanding Dissertation Award. He has worked at Google, Apple, Microsoft Research, Meta Reality Labs, and IBM Research. His lab emphasizes real-world deployments, with technologies licensed and integrated into products used by millions. Prospective students are invited to join his lab at Northwestern via a dedicated application form. Research spans embedded systems, computer vision, and on-device ML, with a focus on impactful applications in healthcare and XR.

David AbbinkView profile

Professor

• Human-Robot Interaction
• Haptics
• Shared Control
• +7 more

Professor David Abbink is a Full Professor of Haptic Human-Robot Interaction at Delft University of Technology, holding a joint appointment between the Department of Cognitive Robotics in the Faculty of Mechanical Engineering and Industrial Design Engineering since November 2023. He founded the Delft Haptics Lab and co-founded the Cognitive Robotics Department in 2017. Abbink leads the transdisciplinary research and innovation centre FRAIM, which was awarded the prestigious NWO Stevin Premie (Dutch Nobel Prize equivalent) in June 2024. Trained as a mechanical engineer specializing in biomechanics, Abbink's research focuses on human behavior adaptations when interacting with autonomous systems. He has published over a hundred scientific articles on human-robot interaction, haptics, shared control, tele-operation, driver assistance systems, and sensorimotor control. His research has been funded by industry partners (Nissan, Boeing, Renault), RVO (Brightsky project 2022-2026), and the Dutch Science Foundation NWO through personal grants (VENI 2010-2014, VIDI 2015-2019). Abbink's recent work centers on worker-robot relations as an academic focus, collaborating with organizations like Erasmus Medical Centre for nursing work, Schiphol and KLM for baggage handling, and KLM Engine Repair Services for maintenance work. He also serves as scientific director for the Centre for Meaningful Human Control, launched in October 2024. His work bridges engineering, social sciences, and practical applications to responsibly shape the future of work with emerging robotic capabilities. NWO Stevin Premie (2024) Best IEEE SMC journal paper on Cybernetics (2019) Top 25 scientific talents according to New Scientist (2015) Best teacher of Faculty 3mE (2013, 2014) Best teacher of Department of BioMechanical Engineering (seven consecutive years) Abbink has supervised over 110 MSc students and 11 PhD students. His educational contributions include developing the Master Programme in Robotics at TU Delft and receiving international recognition for his course 'The Human Controller.' He is also a prominent science communicator, featured on national television, radio, and major Dutch newspapers, and has delivered lectures at venues like The Royal Institution and Lowlands Festival. Despite his academic commitments, Abbink maintains a drummer persona, having recorded four albums and performed over 400 shows across three continents between 1999-2014.

Leah FindlaterView profile

Associate Professor

• Accessibility
• Human-Centered AI
• Human-Computer Interaction
• +3 more

Leah Findlater is an Associate Professor in the Department of Human-Centered Design & Engineering at the University of Washington (College of Engineering). She also holds adjunct and affiliate appointments in Computer Science & Engineering and Disability Studies, respectively, and serves as Associate Director of UW CREATE (Center for Research and Education on Accessible Technology and Experiences). Since 2021, she has led a research team in AI and accessibility at Apple. Her research focuses on creating adaptive technologies that accommodate individual needs, particularly for people with disabilities. Key areas include touchscreen personalization, machine learning interfaces, and sound recognition systems for deaf and hard-of-hearing users. Funding sources include NSF, DoD, and major tech companies. Recent work explores AI-driven tactile graphics, visual privacy management for blind users, and sound recognition systems. Her research combines lab studies, field deployments, and qualitative methods. NSF CAREER Award (2014) She advises through the Inclusive Design Lab, emphasizing mixed-methods research and collaborations with disability communities.

Alexander HunterView profile

Lecturer

• Open/Non-linear Music
• Open Music Notation
• Spectralism
• +7 more

Dr. Alexander Hunter is a Lecturer and Composition Convenor at the School of Music, Australian National University (ANU). He holds a PhD in composition from Edinburgh Napier University (2014) and has taught composition, theory, and music history since relocating to Canberra in 2014. Hunter founded ANU's Experimental Music Studio, focusing on open-form compositions that engage performers in fluid interpretive roles. His research spans open musical forms, spectralism, acoustic ecology, and intersectional feminism, with a commitment to disability and autistic advocacy in the arts. Education includes studies at Northern Illinois University (BA 2006) and HNC from Colaisde Bheinn na Faoghla (2007). His work integrates multimedia collaborations with artists like Mike Parr and Martyn Jolly, exploring themes of dis/ability, environmental health, and Métis cultural heritage. Key projects include Helping the River Sing (2018–2021), linking river health with artistic expression, and AI-driven music composition research with Charles Martin. Hunter’s performance-led projects often involve magic lantern technology, reimagining 19th-century projection as a medium for contemporary ecological and historical narratives. Research interests also encompass New York School music, reductionist improvisation, and anarchist philosophies in composition. His collaborations with ensembles like Ensemble Dal Niente and the Edinburgh Quartet highlight his commitment to experimental performance practices. Recent publications (2023–2025) explore AI applications in music creation and interdisciplinary performance frameworks.

Yen-Ting YehView profile

Assistant Professor

• Human-Computer Interaction
• Mobile Interaction
• Collaborative Tools
• +3 more

Dr. Yen-Ting (Allen) Yeh is an Assistant Professor in the Department of Computer Science at the University of Saskatchewan, where he leads research in Human-Computer Interaction focusing on mobile interaction techniques, collaborative tools, and creative technologies. PhD, Cheriton School of Computer Science, University of Waterloo MS, Graduate Institute of Networking and Multimedia, National Taiwan University His research explores physical and cognitive human capabilities through: Innovative phone interaction methods (folding, dexterous gestures, side-touch expansion) Collaborative writing environments with privacy controls Creativity augmentation systems for 3D modeling Augmented reality and interactive fabrication tools Recent publications demonstrate strong focus on: Acoustic input techniques using finger snapping Motion-based creative reflection tools Dynamic gesture recognition systems Collaborative editing comfort optimization Scientific recognition includes: ACM Creativity and Cognition 2021 Honorable Mention The research group at the University of Saskatchewan's HCI Lab actively seeks students interested in phone interactions, human factors, AR/VR, collaborative tools, and creative arts applications.

Karin H. JamesView profile

Professor

• Cognitive Neuroscience
• Developmental Psychology
• Brain and Behavior
• +5 more

Karin H. James is a Professor and Director of Graduate Studies in the Department of Psychological and Brain Sciences at Indiana University Bloomington's College of Arts and Sciences, actively reviewing applications for Fall 2026 admissions. Her research program investigates how self-generated actions shape cognitive development through neural mechanisms. Her educational background includes: Post Doctoral Fellow, Vanderbilt University (2001-2003) Ph.D. in Psychology, University of Western Ontario (2001) M.A. in Psychology, University of Western Ontario (1998) B.S. in Psychology, University of Toronto (1996) B.A. in History, University of Toronto (1991) Dr. James' research centers on the neural correlates of learning, specifically how motor experience influences visual recognition across domains including object recognition, reading acquisition, language learning, and mathematical understanding. Using fMRI and behavioral methods, she examines how sensorimotor interactions during symbol production (e.g., handwriting) reconfigure brain networks for perception. Her work demonstrates that visual-motor contingency during learning creates lasting neural changes that enhance recognition, with implications for educational practices in literacy and numeracy development. Analysis of her 2018-2021 publications reveals consistent focus on embodied cognition principles, particularly how action-perception loops establish neural representations. Key themes include gesture-based learning in mathematics, visual-motor integration in symbol recognition, and category formation mechanisms, bridging cognitive neuroscience with developmental psychology through innovative methodologies like the MRItab neuroimaging tool. Dr. James maintains active membership in the Society for Research in Child Development (2007-present), Cognitive Neuroscience Society (2004-present), and Vision Sciences Society (2000-present), reflecting her interdisciplinary approach to learning mechanisms. As Director of Graduate Studies, she oversees program development and student mentorship while leading the Cognition and Action Neuroimaging Lab. Her research infrastructure includes specialized neuroimaging tools developed for naturalistic experimental paradigms, supporting investigations into how embodied experiences shape cognitive architecture from childhood through adulthood. The Cognition and Action Neuroimaging Lab develops cutting-edge methodologies like the MRItab touchscreen system to study naturalistic learning during fMRI scanning, focusing on how sensorimotor experiences during symbol production reconfigure neural networks for perception and recognition across developmental stages.

Saerom LeeView profile

Associate Professor

• Consumer Behavior
• Marketing
• Social Psychology
• +6 more

Saerom Lee is an Associate Professor of Marketing at the Gordon S. Lang School of Business and Economics, University of Guelph. She holds a PhD in Marketing from the Smeal College of Business at Pennsylvania State University and previously served as an Assistant Professor at the University of Texas at San Antonio. Her research explores identity, social influence, and social motivations in consumer decisions, with a focus on prosocial behavior, sustainable consumption, and well-being. Key areas include how touchscreens affect support for social causes, marketplace morality, and the psychology behind luxury consumption in professional settings. Dr. Lee has published in top-tier journals like the Journal of Consumer Research and Journal of Marketing Research , receiving awards from the Academy of Marketing Science, American Marketing Association, and others. She serves on editorial review boards for Journal of Marketing Research and Journal of Retailing . Education: PhD in Marketing, Pennsylvania State University Her work bridges consumer psychology and social responsibility, with grants and collaborations in sustainable behavior and ethical decision-making. She advises students in the Department of Marketing and Consumer Studies, fostering interdisciplinary research on modern consumption trends.

Christos NicolaidesView profile

Assistant Professor

• Data Science
• Machine Learning
• Social Networks
• +5 more

Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.

• Human-Computer Interaction
• Haptic Technology
• Electrostatic Actuation
• +3 more

Craig Shultz is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), where he joined in January 2024. He is affiliated with the College of Engineering and conducts research through the Interactive Display Lab, which he founded upon joining UIUC. Prior to his academic position, Shultz co-founded Fluid Reality and served as VP of Research and Development at Tanvas, where he developed electroadhesive touchscreens based on his research at Northwestern University. Dr. Shultz's educational background includes: Ph.D. in Mechanical Engineering from Northwestern University (2017) M.S. in Mechanical Engineering from Northwestern University (2015) B.S. in Electrical Engineering from the University of Tulsa (2011) Shultz's research focuses on advancing human-computer interaction through innovative haptic technologies. His work centers on developing tactile interfaces that leverage electrostatic actuation and novel input/output devices to create immersive user experiences. His primary research areas include: Human-Computer Interaction - Exploring contemporary use cases and building novel input and output devices Electrostatic Actuation - Modeling and characterization of moderate to high voltage electrostatic actuators Haptic Technology - Designing and evaluating tactile interaction devices Interactive Embedded Systems - Creating systems that respond to human touch in sophisticated ways Shultz's research has demonstrated how haptic technologies can enhance user experiences across various domains including virtual reality, mobile devices, and interactive displays. His work aims to elevate haptic rendering to the sophistication level of graphics and audio systems through practical hardware and software solutions. Dr. Shultz has received numerous prestigious awards for his research contributions: IEEE Robotics and Automation Society Technical Committee on Haptics Early Career Award (2025) TCH Early Career Award at World Haptics 2025 Sony Faculty Innovation Award for Finger Mounted Haptic Displays (2025) Multiple Best Paper awards at premier ACM and IEEE conferences (2014-2022) As an educator and mentor, Shultz has advised multiple graduate students in the Interactive Display Lab, including Jung-Hwan (the lab's inaugural member), Seung Heon, and Yanjun (his first PhD student). His research has attracted significant attention, being featured in major media outlets including NBC Nightly News, TechCrunch, and Engadget. Shultz teaches courses such as ECE 210 (Analog Signal Processing), ECE 211 (Analog Circuits & Systems), ECE 445 (Senior Design Project Lab), ECE 598 CS (Interactive Haptic Systems), and ME 470 ZJ3 (Senior Design Project). The Interactive Display Lab, housed in room 3038 of the Electrical and Computer Engineering building at UIUC, is equipped with electronics assembly and debugging equipment, a prototyping lab, optical bench, student offices, and a photo and VR studio. The lab benefits from access to departmental mechanical, electrical, and clean room fabrication facilities. Current research directions include developing fast interactive soft buttons (DynaButtons), high-resolution haptic gloves (Fluid Reality), and flat panel haptics with embedded electroosmotic pumps.

Julian FierrezView profile

Professor

• Biometrics
• Signal and Image Processing
• Artificial Intelligence
• +6 more

Julian Fierrez is a Full Professor at the School of Engineering, Universidad Autonoma de Madrid. With an h-index of 74 and over 20,000 citations, his work spans biometrics, signal/image processing, artificial intelligence, and human-computer interaction. Key research areas include: Biometric anti-spoofing and DeepFakes detection Mobile and behavioral biometrics Bias/fairness in AI systems Biometric applications in e-health and education Security in multimodal biometric systems His recent publications show strong focus on deep learning applications for biometric security, with specific subfields including fake detection, keystroke authentication, facial analysis for Parkinson detection, and privacy-preserving AI. He serves as Associate Editor for multiple IEEE and Elsevier journals. Scientific distinctions include: IAPR Young Biometrics Investigator Award (2017) Miguel Catalan Award to Best Researcher under 40 (2017) EURASIP Best PhD Award (2012) EBF European Biometric Industry Award (2006) Prof. Fierrez leads the BiDA Lab and supervises students like Ruben Tolosana and Aythami Morales. Current projects include BBforTAI (Biometrics and Behavior for Unbiased & Trustworthy AI) and PRIMA (Privacy Matters). He also contributes to standardization efforts in biometric evaluation.

Carina de KlerkView profile

Senior Lecturer

• Social Cognition
• Action Understanding
• Imitation
• +3 more

Dr. Carina de Klerk is a Senior Lecturer in the Department of Psychology at the University of Essex. Her research focuses on social cognition, action understanding, and imitation in infants and toddlers, with a particular emphasis on brain mechanisms underlying these abilities. She holds a PhD in Developmental Cognitive Neuroscience from Birkbeck College, University of London, and completed a master’s degree at Leiden University. Her work investigates facial mimicry development using EMG and fNIRS technologies, and explores how perceptual-motor couplings influence infants’ ability to predict others’ actions. She has secured grants including a Marie Curie fellowship and awards from the Cognitive Neuroscience Society. Her teaching roles include leading courses on psychology projects, numerical methods in cognitive neuroscience, and developmental theories. Dr. de Klerk’s research has addressed topics such as face processing in children at risk for autism, the role of sensorimotor experience in imitation, and inhibitory control in infants. She currently supervises PhD students researching empathy-aggression relationships and inhibitory control in early childhood. Recent grants include studies on infant body representations and the development of facial mimicry. Her lab, the Essex Babylab, focuses on multisensory experience and parent-infant relationships, with publications in journals like Cortex , Developmental Cognitive Neuroscience , and Proceedings of the Royal Society B .