Find Academic Supervisors

Daphne YaoView profile

Professor

• Cybersecurity
• Program Analysis
• Machine Learning Algorithms
• +3 more

Daphne Yao is a Professor in the Department of Computer Science at Virginia Tech , part of the College of Engineering. She holds the Elizabeth and James E. Turner Jr. '56 Faculty Fellowship and CACI Faculty Fellowship. Her research focuses on cybersecurity, program analysis, machine learning algorithms, and applied cryptography. Yao has contributed to advancing secure coding practices, vulnerability detection in software, and privacy-preserving technologies. Education includes a Ph.D. in Computer Science from Brown University (2007), an M.S. in Computer Science from Indiana University (2002), and earlier degrees in Chemistry from Princeton University (M.A., 2000) and Peking University (B.S., 1998). Her work bridges theoretical computer science with practical applications, emphasizing real-world cybersecurity challenges. Recent research trends include combating ransomware via API profiling, improving privacy in voice assistants, and developing resilient network routing systems. Yao collaborates across disciplines, integrating machine learning into healthcare cybersecurity and epigenomic analysis. Her publications reflect a commitment to measurable, deployable security solutions and ethical AI practices. Key contributions include the CryptoGuard tool for detecting cryptographic vulnerabilities and frameworks like Madeline for low-cost cyber threat monitoring. She has also explored challenges in deploying intrusion detection systems and mitigating data-oriented attacks in cyber-physical systems.

Aline NormoyleView profile

Assistant Professor

• Digital Humans
• Character Animation
• Video Games
• +4 more

Aline Normoyle is an Assistant Professor of Computer Science at Bryn Mawr College, where she leads the MOVR (Motion Capture and Virtual Reality) lab. Her research focuses on character animation, video game design, and analyzing human motion from video. She holds a B.Sc. from McGill University, and a M.Sc. and Ph.D. from the University of Pennsylvania. Prior to academia, she worked as a software engineer for 10 years, specializing in networking, graphics, and behavioral modeling. Her work bridges computational methods with experimental approaches to study non-player characters, avatars, and game mechanics. Normoyle’s contributions include open-source tools for sign language analysis and VR experiments, and she actively collaborates across disciplines including linguistics and psychology. She has been recognized with the Best Student Presentation Award at the 2013 Symposium on Applied Perception. Her teaching spans foundational computer science courses and specialized topics in game programming and animation. Education: B.Sc. in Computer Science, McGill University (1999) M.Sc./Ph.D. in Computer Science, University of Pennsylvania (2015) Research Interests: Procedural character animation and behavior Motion capture and analysis techniques Immersive VR/AR applications Game-based experimental platforms Accessibility in digital human modeling Recent Work Trends: Normoyle’s recent publications explore gesture-based user identification, controller effects in AR games, and the role of hand motions in virtual communication. Her work emphasizes interdisciplinary approaches, combining AI with traditional animation techniques to create more expressive and interactive virtual characters. Awards: Best Student Presentation Award, Symposium on Applied Perception (2013) Advising & Grants: Normoyle advises students in animation, VR, and game design, requiring foundational coursework in computer graphics and systems programming. She has received support for her research through collaborations with institutions like Clemson University and New York University. Labs & Teams: Director of the MOVR lab at Bryn Mawr, focusing on motion capture, VR experiments, and open-source tools for sign language analysis.

Pierluigi PerriView profile

Professor

• Privacy and Data Protection
• Data Governance
• Information Security
• +4 more

Pierluigi Perri is a Professor of Advanced Computer Law at the University of Milan's Law School and Vice Coordinator of the Information Society Law Center (ISLC). He is also an Affiliate Fellow at Yale Law School and has held roles such as Non-residential Fellow at Stanford Law School’s Center for Internet and Society and Visiting Researcher at Microsoft. His expertise spans privacy law, data governance, cybersecurity, computer crimes, and digital forensics. Perri holds a PhD in Legal Informatics and IT Law from the University of Bologna and a specialization in Legal Informatics and New Technologies Law. Education: PhD in Legal Informatics and IT Law, University of Bologna Specialization in Legal Informatics and New Technologies Law His research focuses on balancing technological advancements with legal safeguards, including data protection compliance, AI ethics, and cybersecurity legislation. Recent work addresses AI-driven hate speech detection, algorithmic transparency, and the ethical use of open-source intelligence (OSINT). Perri has authored two books on data protection and IT law, alongside numerous scientific publications. Perri’s articles analyze legal frameworks for digital crimes, surveillance ethics, and privacy challenges in emerging technologies. His affiliations include leadership roles in interdisciplinary legal-tech initiatives aimed at addressing global cybersecurity and privacy dilemmas. No scientific awards or grants are explicitly mentioned. He is affiliated with the ISLC, fostering collaboration between legal, technical, and policy experts to tackle digital society challenges.

Marinko SarunicView profile

Adjunct Professor

• Biomedical Imaging
• Optical Coherence Tomography
• Microscopy
• +2 more

Marinko Sarunic is an Adjunct Professor at the School of Engineering Science , Simon Fraser University . He holds a PhD in Biomedical Engineering from Duke University and has been recognized as a Michael Smith Foundation for Health Research Scholar . His research focuses on biomedical imaging , particularly optical coherence tomography (OCT) , microscopy , and low-coherence interferometry , with applications in diabetic retinopathy , Alzheimer’s disease , and age-related macular degeneration . Dr. Sarunic's work spans adaptive optics , deep learning , and sensorless OCT systems , emphasizing clinical translation and open-source software development (e.g., OCTAVA ). His Google Scholar publications highlight multimodal imaging , vascular heterogeneity analysis , and AI-driven diagnostics for retinal diseases. His contributions include the Michael Smith Foundation for Health Research Scholar award. Though not currently teaching courses, his collaborations and leadership in retinal imaging and medical device innovation are pivotal for advancing non-invasive diagnostics in neurodegenerative and diabetic conditions .

• Event Cognition
• Human-Robot Interaction
• Visual Working Memory
• +4 more

Frank Papenmeier is a Professor in the Department of Psychology at the University of Tübingen, within the Faculty of Science. His research focuses on event cognition, human-robot interaction, visual working memory, and visual attention. He coordinates the 'Coordination Cognitive Psychology and Research Methods' research group. His work explores how people perceive and interact with dynamic environments, including studies on event segmentation, cognitive offloading, and aesthetic judgments. He has contributed to over 100 peer-reviewed articles, with recent work addressing topics like the impact of framing on art perception and the role of AI in education. Papenmeier's research integrates experimental methods with interdisciplinary approaches, including collaborations on teleoperation systems and AI-based tutoring. He has presented at major conferences such as the European Society for Cognitive Psychology and the Psychonomic Society. His lab emphasizes methodological rigor, evidenced by contributions to replication databases and open science initiatives. Education: Not explicitly stated in the text, but his titles include Dr. rer. nat. (Doctor of Natural Sciences) and Diplom-Psychologe (Psychology Diploma). Research Interests: His primary areas include event cognition, human-robot interaction (e.g., helping behavior toward robots), visual working memory (e.g., spatial configuration processing), and cognitive offloading (e.g., impact on memory and performance). He also investigates aesthetic judgments and narrative comprehension through eye-tracking and experimental paradigms. Articles Trends: Recent work addresses applied topics like cookie consent interfaces, AI in education (e.g., R programming tutors), and perceptual effects in 3D cinema. His studies often bridge cognitive theory with real-world applications, such as usability design and social robotics. Labs/Teams: Leads the research group 'Coordination Cognitive Psychology and Research Methods' at the University of Tübingen. Collaborates with interdisciplinary teams on projects involving robotics, AI, and human-computer interaction.

Matthias MeckelView profile

Senior Lecturer

• e-Business Strategies
• Small and Medium Enterprises (SMEs)
• Online Consumer Behavior
• +3 more

Dr. Matthias Meckel is a Senior Lecturer in the School of Business, Social & Decision Sciences at Constructor University. Previously, he held academic positions at the University of Central Lancashire, including Principal Lecturer (2020-2023), Senior Lecturer (2007-2020), and Lecturer (2004-2007). His research focuses on e-business strategies for SMEs, organizational technology adoption barriers, and survey methodology. He holds a PhD in e-business strategies for SMEs from the University of Central Lancashire, alongside an MSc in Business Administration with IT (Distinction) and a Diplom-Informatiker (FH) degree. His research interests include digital transformation frameworks for SMEs, healthcare information systems, and cross-channel survey techniques. Notable work includes developing a hospital resource management system using real-time data and analyzing organizational barriers in e-Banking adoption. His publications span journals like Strategic Change and conferences such as the International Conference on Systems and Informatics. Teaching expertise spans business management, information systems, and technology strategy. He has advised numerous projects on SME digitalization and contributed to academic events globally. Currently based at Constructor University's Bremen campus, he continues advancing knowledge in business innovation and technology adoption.

Scott Thompson-WhitesideView profile

Professor

• Human-centered Design
• Machine Learning
• EEG Data
• +6 more

Scott Thompson-Whiteside is a Professor and Executive Dean at Torrens University Australia's School of Design and Creative Technology. With a career spanning over two decades, he contributes to research in human-centered design , machine learning , and sustainable transportation . His work bridges design innovation with technological solutions, particularly in electric bus systems and deepfake detection. Key Research Areas : Human-centered design, EEG data analysis, Industry 4.0, drone technology, design education Recent Research Trends (2022-2025): Machine learning in neurological disorder detection (e.g., epilepsy via EEG graphs) Deepfake detection techniques Design-led sustainable public transport systems in Malaysia Ethical frameworks for drone vision applications Industry 4.0 adoption challenges in creative sectors Academic standards in transnational education Academic Leadership : As Executive Dean, he actively supervises PhD students and influences higher education policy. His teaching innovations focus on design thinking and internationalization of curricula.

Eunsik KimView profile

Professor

• Ergonomics
• Biomechanics
• Human Factors Engineering
• +5 more

Eunsik Kim is a Professor at the University of Windsor , holding a position in the Department of Mechanical, Automotive, and Materials Engineering within the Faculty of Engineering . His research focuses on ergonomics, occupational safety, and biomechanics, with applications in automotive design, workplace safety, and human-machine interaction. He leads the Occupational Safety and Ergonomics research lab , where students explore real-world solutions for challenges such as driver fatigue, musculoskeletal risks in manual labor, and automation in agriculture. Key research interests include: Ergonomics : Optimizing workstation designs, automotive seating, and anti-vibration tools Biomechanics : Analyzing human posture, musculoskeletal loading, and workplace ergonomics Machine Learning : Developing AI-driven systems for posture recognition, workload prediction, and task automation Autonomous Vehicles : Investigating human factors in driving automation and takeover scenarios Education Innovation : Gamification in engineering labs to enhance student motivation and learning Collaborations include projects with Ewha Womans University (South Korea) on autonomous vehicle comfort and a prototype robotic system for mushroom harvesting. His work often bridges theoretical research with practical applications, addressing both industry and academic challenges. Awards and Recognition: Students Ilfeoma Michael and Elnaz Akhavan Rezaee received accolades at the Association of Canadian Ergonomists conference for their lab research Advising and Grants: Professor Kim mentors students in interdisciplinary projects, focusing on ergonomics, robotics, and AI. His research has led to innovations in workplace safety and automated systems, supported by institutional and collaborative funding. Labs/Teams: The Occupational Safety and Ergonomics Lab and partnerships with South Korean institutions drive cutting-edge studies in automotive safety, robotics, and human factors engineering.

• Human-Computer Interaction (HCI)
• Virtual/Augmented Reality (VR/AR)
• User Experience (UX)
• +6 more

Vassilis Charisis is a Professor of Creative Technologies and Associate Dean of Research and Innovation at the School of Arts and Creative Industries, Edinburgh Napier University . He holds a PhD and MPhil in Human-Computer Interaction (HCI) and VR/AR from the University of Glasgow and serves as a Visiting Professor at the University of Nicosia (Cyprus) and University of West Attica (Greece). Former roles include Professor of HCI and VR/AR at Glasgow Caledonian University Founder and Director of VRS Lab and VRDS Lab Director of Visual, Affective and Pervasive Systems (VAPS) research group His research spans Human-Computer Interaction , Virtual/Augmented Reality , User Experience (UX) , Artificial Intelligence , and Medical Simulation . With over £12.5M in research funding and 100+ publications, he focuses on: Automotive Engineering : AR/VR interfaces, collision avoidance systems Healthcare Applications : Dialysis training, telemedicine Consumer Electronics : UX optimization, gesture recognition Recent publications highlight trends in XR for geriatric rehabilitation , AI-driven AR HUD systems , and IoT security frameworks . His work integrates AI, immersive environments , and user-centered design across domains. Scientific Awards International awards for automotive design (FIAT, Opel) Professional memberships: MIET, FBCS, FRSA, FDSRI, SFHEA He advises on PhD supervision (e.g., Kweku Bram Larbi) and contributes to advisory committees like the Scottish Arts and Humanities Alliance . His projects include: VR Dialysis Training Systems (Kidney Research UK, NHS) noPILLLS in the Water (EU FP7, £7.5M) Collision Avoidance AR Interfaces for emergency vehicles

Xiaojun YuanView profile

Associate Professor

• Human Computer Interaction
• Information Retrieval
• User Interface Design
• +3 more

Xiaojun (Jenny) Yuan is an Associate Professor at the University at Albany, State University of New York, within the College of Emergency Preparedness, Homeland Security, and Cybersecurity. Her research focuses on Human-Computer Interaction (HCI) and Information Retrieval, emphasizing user interface design and human information behavior. She has secured grants from institutions like the Institute of Museum and Library Services and the New York State Education Department. Dr. Yuan holds a Ph.D. from Rutgers University and the Chinese Academy of Sciences, alongside advanced degrees in Statistics and Computer Science. She actively contributes to professional committees (e.g., ACM SIGIR, ASIS&T) and editorial boards, including the Aslib Journal of Information Management and Annual Review of Information Science and Technology . Her work addresses technology accessibility, pandemic response systems, and inclusive design for marginalized populations. Her research spans decades, with notable contributions to voice search optimization, cultural aspects of interface design, and technology adoption patterns during crises. Recent studies investigate algorithmic fairness, privacy concerns in aging populations, and pandemic-era educational technology. Dr. Yuan's interdisciplinary approach bridges computer science, sociology, and public health to tackle real-world challenges like health equity and emergency preparedness. Grants: Institute of Museum and Library Services, SUNY Seed Grant, NY State Education Department Editorial Roles: Aslib Journal of Information Management, Annual Review of Information Science and Technology Professional Memberships: ASIS&T, ACM, IEEE Her publications highlight trends in conversational search systems, gamified learning tools, and the societal impacts of AI. Ongoing research explores culturally responsive keyboard designs and pandemic data visualization for underrepresented groups.

Emmanuel GiguetView profile

Researcher

• Computer Science
• Computer Forensics
• Natural Language Processing
• +4 more

Emmanuel Giguet is a Researcher at the French National Centre for Scientific Research (CNRS), affiliated with the GREYC Laboratory (Computer Science Department) at the University of Caen, Normandy, France. He holds an HDR (Accreditation to Supervise Research) from the University of Caen (2011) and a PhD in Computer Science (1998), both focusing on multilingual natural language processing and document analysis. Roles: Cybersecurity Researcher, Communication and Scientific Mediation Adviser (GREYC Lab), Former Computer Forensics Legal Expert (2005–2015). Expertise: Digital Forensics, Natural Language Processing, Document Structure Analysis, Open Source Intelligence, Competitive Intelligence. His research spans cybersecurity, digital forensics, and NLP applications in document analysis. He co-founded Semiotime (2012), a Competitive Intelligence startup, and has contributed to tools like the GREYC Digital Investigation Platform (G'DIP). He teaches cybersecurity modules at the University of Caen, emphasizing digital forensics and information retrieval. Key Projects: Development of open-source digital investigation tools (e.g., G'DIP). Analysis of deepfake videos and forensic video forgery detection. PDF document structure extraction for financial narrative processing (FinTOC). Affiliations: GREYC Lab (CNRS UMR 6072), University of Caen. Institute for Information Sciences, University of Caen. Communication: Advises GREYC on branding and media presence, including logo guidelines, virtual backgrounds, and scientific mediation resources.

Ken NakagakiView profile

Assistant Professor

• Human-Computer Interaction
• User Interfaces
• Robotics
• +3 more

Ken Nakagaki is an Assistant Professor in the Computer Science Department at the University of Chicago and founder of the Actuated Experience Lab (AxLab). He specializes in designing novel actuated tangible user interfaces (A-TUIs) that merge physical materials with computational and robotic systems to create interactive, shape-changing experiences. His work emphasizes seamless integration of dynamic digital information into physical tools and materials. Education: Ph.D. in Media Arts and Sciences from MIT Media Lab (advisor: Hiroshi Ishii) Research Focus: Actuated Tangible User Interfaces (A-TUIs) Shape-changing and reconfigurable technologies Embodied interaction and haptic feedback systems His research bridges robotics, design, and human-computer interaction, driven by curiosity-based prototyping. Awards & Recognition: MIT Technology Review's Innovators Under 35 (Japan & Asia Pacific) Japan Media Arts Festival awards James Dyson Award finalist Fast Company Innovation by Design Awards Labs & Collaborations: AxLab explores actuated interfaces and shape-changing systems to reimagine human-computer interaction in physical spaces.

• Computer Science
• Electrical Engineering
• Artificial Intelligence
• +5 more

Umer Farooq is a Professor at Dhofar University's College of Engineering, specializing in Electrical and Computer Engineering. His research spans interdisciplinary areas including artificial intelligence, nanotechnology, educational technology, and cybersecurity. He has contributed to over 90 publications since 2002, focusing on topics such as neural networks, federated learning, IoT security, and biomedical applications. His work bridges theoretical advancements with practical implementations in fields like medical imaging, renewable energy systems, and smart education platforms. Research interests emphasize innovative solutions at the intersection of engineering and computing. Notable contributions include federated learning frameworks for education, neural network-based medical diagnostics, and secure IoT systems. Recent trends in his publications highlight advancements in machine learning for healthcare, nonlinear dynamics in electronic systems, and sustainable energy solutions. No scientific awards or grants are explicitly listed in the provided texts. Collaborations span global institutions, reflecting his active role in international academic networks.

• Technology-Enhanced Learning
• Accessibility & Universal Design
• Assistive Technology
• +7 more

Charalampos Karagiannidis is a Professor at the University of Thessaly (UTH) in the School of Educational Design (SED), Department of Information and Communication Technologies in Learning and Special Education. He has been affiliated with UTH since 2005 and previously worked at the University of the Aegean, ITI-CERTH, and ICS-FORTH. His academic roles include chairing the TeDISABLE Special Interest Group (SIG) of the IEEE TCLT. Education: BSc in Mathematics, Aristotle University of Thessaloniki MSc in Information Technology, University of London PhD in Electronics Engineering, University of Kent, UK Research Focus: Technology-Enhanced Learning (TEL) Accessibility & Universal Design Assistive Technologies for Special Needs Augmented Reality (AR) and Gamification in Education Educational Robotics for Inclusion Cognitive Assessment Technologies for Aging Populations Publications Trends: Recent work emphasizes ICT applications for autism spectrum disorders (ASD), inclusive robotics, MOOC design for K-12 education, and digital tools to address mild cognitive impairment. His research often bridges theoretical learning models with practical software development, particularly for marginalized populations. Awards & Recognition: No explicit awards listed, but active participation in 150+ publications, editorial roles, and international conference committees demonstrates peer recognition. Grants & Labs: Involved in projects like the TeDISABLE SIG and development of tools such as the Virtual Learning and Social Stories for Autism (VLSS) system . Collaborates on EU-funded initiatives addressing aging populations and cognitive assessment via digital tools.

Jonathan LazarView profile

Professor

• Human-Computer Interaction (HCI)
• Digital Accessibility
• Disability Rights and Policy
• +4 more

Dr. Jonathan Lazar is a Professor in the College of Information Studies (iSchool) at the University of Maryland, where he serves as Executive Director of the Maryland Initiative for Digital Accessibility (MIDA) and core faculty in the Human-Computer Interaction Lab (HCIL). He previously held a professorship at Towson University, where he founded the Universal Usability Lab and directed the information systems program. His work bridges human-computer interaction (HCI), disability rights, and legal policy to advance digital accessibility for marginalized populations, particularly blind users, individuals with cognitive impairments, and people with Down syndrome. Education: LL.M. (Disability Rights Law, University of Pennsylvania), Ph.D. (Information Systems, UMBC), M.S. (Information Systems, UMBC), B.B.A. (Management Information Systems, Loyola University Maryland). Research Focus: Dr. Lazar's work emphasizes ICT accessibility in developing countries, non-visual modalities for blind users, ballot accessibility for voters with disabilities, and legal frameworks to enforce accessibility standards. He has authored/co-authored 17 books and over 200 peer-reviewed articles, with notable contributions on accessible data visualization, automated accessibility testing, and the intersection of law and technology. Awards: Includes the ACM SIGACCESS Outstanding Contribution Award (2020), ACM SIGCHI Social Impact Award (2016), and multiple University System of Maryland Board of Regents Awards. His research has influenced U.S. federal regulations, including airline website accessibility mandates following his work on discriminatory pricing for blind travelers. Professional Service: Serves on the executive board of the Friends of the Maryland Library for the Blind, co-chairs the Cambridge Workshop on Universal Access and Assistive Technology (CWUAAT), and advises government agencies on accessibility policy. He advocates for inclusive design in public libraries, voting systems, and educational technologies. Labs & Projects: Leads the Trace R&D Center's legacy work on accessibility, co-designs health IT tools with individuals with Down syndrome, and develops tools like FormA11y for PDF accessibility remediation. His research emphasizes translating academic findings into actionable policies and practices.