جستجوی استاد راهنمای دانشگاهی

Uwe Grünefeldمشاهده پروفایل

استاد مهمان

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +۵ مورد دیگر

Dr. Uwe Grünefeld is a Visiting Professor at the Faculty of Computer Science , Institute for Computer Science and Business Information Systems (ICB) of the University of Duisburg-Essen. He has been actively contributing to Human-Computer Interaction research through multiple publications in 2025-2022 focusing on Virtual Reality , Augmented Reality , and Robotics . Research Interests span across immersive technology applications for health behavior change (situated artifacts, weight visualization mirrors), haptic feedback systems (EMS for weight perception, vibrotactile directional cues), and behavioral biometrics (hand tracking identification, gaze-based user recognition). His work addresses cross-reality system design , collaborative robotics , and human-in-the-loop simulation methodologies . Key Publications demonstrate significant contributions to VR/AR user engagement, with particular focus on Physical activity promotion through situated artifacts Advanced haptic feedback techniques for immersive environments Behavioral biometric identification systems Robot motion intent communication Cross-reality transition visualization His research often employs mixed-method approaches combining technical implementations with user studies involving quantitative and qualitative data collection.

Cyriel Dielsمشاهده پروفایل

پژوهشگر

• Human Factors in Automotive Design
• Transport Psychology
• Human-Machine Interaction
• +۴ مورد دیگر

Cyriel Diels is a researcher at the Royal College of Art's Intelligent Mobility Design Centre (IMDC) , focusing on automotive and transport design at the intersection of human factors, technology, and sustainable mobility. His career spans academia (Coventry University, RCA) and industry (Jaguar Land Rover, Transport Research Laboratory). Expertise : Human-machine interaction in automated vehicles, motion sickness mitigation, passenger experience design Key Projects : DOMUS (EU), SIMUSAFE (EU), UK CITE (Innovate-UK) Recent research explores motion discomfort alleviation through design interventions and adaptive HMI solutions in autonomous vehicles. Funded by European Commission, Innovate-UK, and automotive industry partners, his work combines cognitive psychology with applied transport design . Publications analyze: Simulator sickness management Visual-motion cue conflicts Seating appearance effects on comfort Warning sign design for vehicle interfaces Multi-axis motion sickness mechanisms Automated driving trust compatibility Current students include Yi Li, Pooya Sareh, Robin Severs, and Selin Zileli. Collaborative projects span future cities , intelligent mobility , and human-centered vehicle design .

Saibal Rayمشاهده پروفایل

استاد

• Supply Chain Management
• Supply Chain Risk Management
• Retail Operations Management
• +۳ مورد دیگر

Saibal Ray is a James McGill Professor of Operations Management and Vice-Dean, Faculty at the Desautels Faculty of Management, McGill University. He holds the Desautels Business Leadership Chair and has served in multiple academic leadership roles, including Vice-Dean, Research and Academic Director of the Bensadoun School of Retail Management. His expertise spans supply chain management, risk management, and retail operations, with a focus on agri-food and natural resources sectors. He has published extensively in top journals like Management Science and Operations Research, and holds editorial roles at journals such as Production and Operations Management. Ray earned a PhD from the University of Waterloo, an MEng from the Asian Institute of Technology, and a BEng from Jadavpur University. His research bridges operations and marketing, addressing challenges like supply chain risk, pricing strategies, and sustainability. He has secured major grants from NSERC, SSHRC, and Quebec agencies, and received awards including the Desautels Faculty Scholar and Quebec Teaching Excellence Award. His teaching focuses on operations and supply chain management at the MBA and graduate levels. Ray’s work integrates academic leadership with practical impact, advising on initiatives like the McGill Center for the Convergence of Health and Economics. His recent research explores behavioral retail tactics, health-conscious bundling, and supply chain resilience in dynamic markets.

Xiaowei Yangمشاهده پروفایل

استاد

• Computer Networks
• Distributed Systems
• Network Security
• +۳ مورد دیگر

Xiaowei Yang is a Professor of Computer Science at Duke University, where she holds multiple leadership positions including Co-Director of Graduate Studies for the Master of Science in Economics and Computation Program and Director of Graduate Studies for the MS Program in the Department of Computer Science. She is a prominent researcher in computer networks and distributed systems with numerous publications in top-tier conferences and journals. Dr. Yang received her Ph.D. in Computer Science from Massachusetts Institute of Technology in 2004 and her B.S.E. in Electronic Engineering from Tsinghua University in China in 1996. Prior to joining Duke University, she served as an assistant professor in the Department of Computer Science at the University of California at Irvine. Dr. Yang's research focuses on large-scale computer systems, particularly computer networks and distributed systems. Her work addresses challenges that arise as computer systems scale in size and distribute across geographical locations, with emphasis on scalability, reliability, security, performance, and manageability. Her current research interests include developing practical ML/AI technologies to improve network reliability and security (AIOps), protecting online privacy and security of Internet users, and providing network and system support for latency-sensitive applications. Her research has significant practical impact, with several projects addressing real-world problems in cloud computing, content delivery networks, and broadband infrastructure. Dr. Yang's recent publications demonstrate a consistent focus on practical network systems research with strong empirical validation. Her work spans multiple aspects of networking including cloud infrastructure, content delivery, security protocols, and network measurements. A notable trend in her recent work is the increasing focus on privacy-preserving technologies and the security implications of modern web infrastructure, particularly concerning content delivery networks and third-party services. Among her notable recognitions is the prestigious NSF CAREER award, which supports early-career faculty who exemplify the role of teacher-scholars through outstanding research, excellent education, and the integration of education and research. Dr. Yang has secured significant research funding, including multiple National Science Foundation grants. Current projects include "CNS Core: Small: Optimizing IP Anycast Performance at Scale" (2022-2026) and previously led "CNS Core: Small: Collaborative Research: Improving the Reliability of Cable Broadband Networks with Proactive Network Maintenance" (2019-2023) and "FIA-NP: Collaborative Research: The Next-Phase MobilityFirst Project" (2014-2018). She is actively involved in mentoring students and has taught courses including Introduction to Computer Systems and Advanced Computer Networks. As part of the Duke Systems group, Dr. Yang collaborates with colleagues on various systems research projects. Her work often involves close collaboration with industry partners, particularly cloud service providers and content delivery networks, ensuring her research addresses real-world challenges in large-scale systems.

Claudia Rodaمشاهده پروفایل

استاد

• Artificial Intelligence Ethics
• Digital Technology and Human Rights
• Attention Computing
• +۳ مورد دیگر

Claudia Roda is a Professor of Computer Science and Director of the Master’s program in Human Rights and Data Science at The American University of Paris (AUP). She co-founded the Technology and Cognition Lab and the Working Group on Human Rights and Digital Technology, and holds the UNESCO Chair in Artificial Intelligence and Human Rights with Prof. Perry. Her research focuses on digital technology’s impact on human behavior and social structures, including attention computing and multi-agent systems. Education: Bachelor’s in Computer Science from the University of Pisa, Italy; Master’s and PhD in Engineering from the University of London (Queen Mary and Westfield College). She has held leadership roles including Director of the Division of Arts and Science (2008–2011), Director of AUP’s collaboration with The New School (2010–2013), and Dean (2015–2018). Research interests include ethical AI, privacy by design, and the societal implications of digital technologies. Recent publications address AI governance, mental privacy, and regulatory frameworks. She has been awarded the AUP Board of Trustee Award for Research (2007), the Provost Award for Innovation (2021), and the Graduate Student Government Award (2023). Grants and collaborations include the €781K GaSP project (2015–2018) and the €1.1M PRIPARE project (2013–2015). She frequently speaks at global conferences on AI ethics, privacy, and human rights, including UNESCO’s Digital Learning Week (2024) and AI Governance Global (2024). Labs/Teams: Technology and Cognition Lab, UNESCO Chair collaboration, and the Working Group on Human Rights and Digital Technology. Current projects include exploring AI regulations and privacy challenges in digital environments.

Paula Clare Harperمشاهده پروفایل

استادیار

• Virality
• Digital Platforms
• Media and Mediation
• +۴ مورد دیگر

Paula Clare Harper is an Assistant Professor in the Department of Music and The College at the University of Chicago. Her research focuses on music, sound, and digital platforms, examining how viral phenomena intersect with gender, fandom, and media mediation. She holds a PhD in Historical Musicology from Columbia University, an MA from the University of Washington, and an AB from the University of Chicago. Her current book project, Viral Musicking and the Rise of Noisy Platforms , traces the evolution of social media platforms through a sonic lens, analyzing their role in shaping viral culture. She co-edited Taylor Swift: The Star, The Songs, The Fans (2025) and organized the 2021 Taylor Swift Study Day conference. Her work also explores Beyoncé’s visual albums and online fandom dynamics. Publications include analyses of viral music memes like Rebecca Black’s 'Friday' and ASMR’s sensory appeal, alongside explorations of digital mediation and platform labor dynamics in American Music special issues. Her research bridges musicology, digital humanities, and internet studies.

Andrew Robbمشاهده پروفایل

استادیار

• Virtual Reality
• Human-Computer Interaction
• User Behavior Analysis
• +۳ مورد دیگر

Andrew Robb is an Assistant Professor in the School of Computing at Clemson University. His research focuses on the societal impact of consumer virtual reality (VR), including user behavior adaptation, avatar embodiment effects, presence in VR, and perception studies. Prior to Clemson, he earned his PhD in the Virtual Experience Research Group at the University of Florida. He is funded by the NSF CHS Small grant #1717937 and collaborates with researchers like Sabarish Babu and Chris Pagano. His work explores topics such as cybersickness mitigation, pedestrian-AV interactions, and VR's therapeutic applications for social anxiety disorders. Education: PhD in Virtual Experience Research, University of Florida Research Interests: Longitudinal effects of VR exposure on user behavior Avatar embodiment and its real-world behavioral implications Measuring and enhancing presence in VR environments Perception of space and motion in virtual vs. real-world contexts Human-VR interaction design for accessibility and safety Social and ethical considerations of emerging VR technologies Key Research Trends: His recent work emphasizes VR's impact on spatial cognition, cybersickness reduction through interaction design, and leveraging VR for mental health interventions. Over 2023-2024, he has published extensively on avatarization effects, near-field interactions, and pedestrian-AV dynamics in immersive environments. Grants & Lab: Hosts the McAdams Hall 120 lab and has NSF-funded research on longitudinal VR exposure effects. Collaborates with automotive engineering teams on VR-based autonomous vehicle interaction studies.

Michele Germaniمشاهده پروفایل

استاد

• Industrial Engineering
• Ergonomics
• Sustainability
• +۷ مورد دیگر

Prof. Michele Germani is a Full Professor at the Polytechnic University of Marche, Department of Industrial Engineering and Mathematical Sciences. His research focuses on ergonomics, sustainability, and human-centered design, with particular emphasis on industrial automation, wearable technologies, and circular economy principles. He leads projects on ergonomic risk assessment, environmental impact modeling, and smart manufacturing systems. Academic Background: Holds a position in the Faculty of Engineering, contributing to both teaching and research. His work integrates machine learning, sensor-based systems, and virtual reality to address challenges in manufacturing, healthcare, and sustainable design. Research Interests: Prof. Germani explores topics such as design for disassembly, eco-design tools, and the application of advanced technologies (e.g., exoskeletons, cobots) to enhance workplace safety and efficiency. His studies often bridge engineering and environmental science, aiming to reduce carbon footprints through innovative design methodologies. Key Projects: Development of decision support systems for fall risk detection, sensor-based ergonomic evaluation tools, and frameworks for circular economy implementation. He also investigates the impact of Industry 4.0 technologies on workforce dynamics and operator training via mixed reality simulations. Grants & Collaborations: Engaged in interdisciplinary collaborations focusing on sustainable manufacturing, healthcare technology, and smart systems. His research has led to tools like Durabot for durability analysis and Greenbuild for green building design. Labs & Teams: Oversees labs developing eco-design strategies, human-robot collaboration systems, and ergonomic assessment protocols, with a focus on real-world industrial applications.

Jon Sensingerمشاهده پروفایل

استاد

• Rehabilitation Engineering
• Prostheses
• Exoskeletons
• +۴ مورد دیگر

Jon Sensinger is a Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick and Director of the Institute of Biomedical Engineering (IBME). Based in R.N. Scott Hall 207, Fredericton, his research focuses on rehabilitation technologies. His work spans prosthetics, exoskeletons, computational motor control, and human-centered system optimization. The 'curiosity driven control' research stream explores adaptive interfaces that respond to user intent through novel learning algorithms. As IBME Director, he oversees interdisciplinary research bridging engineering, neuroscience, and clinical practice. This includes neural-machine interfaces, assistive device design, and rehabilitation robotics aimed at enhancing mobility and function.

Robert Jacobمشاهده پروفایل

استاد

• Human-Computer Interaction
• Brain-Computer Interfaces
• Implicit Interaction Techniques
• +۳ مورد دیگر

Robert Jacob is a Professor of Computer Science at Tufts University's School of Engineering, where he leads research in human-computer interaction with particular focus on implicit brain-computer interfaces. His work bridges computer science, cognitive science, and interface design to create adaptive systems that respond to users' cognitive states without explicit input. His educational background includes a Ph.D. from Johns Hopkins University. Professional milestones include: ACM CHI Academy membership (2007) ACM Fellow designation (2016) Leadership roles as ACM SIGCHI Vice President and conference chair for CHI, UIST, and TEI Professor Jacob's research centers on implicit interaction techniques, particularly using fNIRS brain sensing to create adaptive interfaces. His work has evolved from foundational studies in reality-based interaction and tangible programming to current neuroadaptive systems that measure cognitive workload in real-time. This research spans domains including music learning, museum education, and general user interface adaptation. His publications reveal consistent focus on brain-computer interfaces since 2012, with increasing sophistication in physiological measurement and machine learning techniques. Recent work integrates multiple physiological signals beyond brain data to create comprehensive user state models. Major recognitions include: CHI 2016 Best Paper Award for music learning research CHI 2014 and 2012 Best Paper Honorable Mentions Keynote addresses at major conferences including Neuroadaptive Technology Conference (2017) Extensive media coverage in New Scientist, IEEE Computer, and Boston Globe Professor Jacob has mentored 17 PhD students who now hold faculty positions at institutions including Worcester Polytechnic Institute, Northwestern University, and Carleton University. His HCI Lab, located in the Joyce Cummings Center, receives funding from NSF and other sources supporting neuroadaptive interface research. Current projects focus on broadening implicit interaction to include multiple physiological measurements while maintaining user privacy and system transparency.

Christos Nicolaidesمشاهده پروفایل

استادیار

• Data Science
• Machine Learning
• Social Networks
• +۵ مورد دیگر

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.

Sudhakar Gantiمشاهده پروفایل

دانشیار

• Cloud Computing Resource Management
• Software Defined Networking (SDN)
• Traffic Management and Quality-of-Service
• +۳ مورد دیگر

Sudhakar Ganti is an Associate Professor in the Department of Computer Science at the University of Victoria, part of the Faculty of Engineering and Computer Science. He holds a PhD from the University of Ottawa. His research focuses on cloud computing resource management, software-defined networking (SDN), traffic management, quality-of-service optimization, and performance evaluation through queueing theory. His work bridges theoretical frameworks with practical applications in network efficiency and distributed systems. Dr. Ganti’s expertise includes optimizing resource allocation in fog-cloud systems, enhancing telehealth IoT energy efficiency, and developing dynamic defense frameworks for SDN security. His contributions span network traffic prediction, large file transport protocols, and formal verification of networking systems. He has published extensively in top-tier conferences and journals, addressing challenges in distributed computing, cyber security, and edge computing. His research trends emphasize leveraging reinforcement learning for fog-cloud resource allocation, multi-objective optimization in IoT, and SDN-driven network security. Earlier work includes foundational studies on optical router bypass, cloud workload characterization, and conversational agents for smart environments. Despite his prolific output, no academic awards or grants are explicitly mentioned in his profile.

Seth Polsleyمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Intelligent Systems
• Educational Technology
• +۴ مورد دیگر

Seth Polsley is an Assistant Professor in the Jeffrey S. Raikes School of Computer Science and Management at the University of Nebraska-Lincoln. His academic home resides in the School of Computing, where he bridges intelligent systems design with human-computer interaction to enhance educational and universal computing experiences. BS in Computer Engineering (2014) - University of Kansas MS (2017) & PhD (2023) in Computer Engineering - Texas A&M University His research explores: Intelligent tutoring systems Brain-computer interfaces Accessible educational technologies Machine learning for child development assessment Sketch recognition in STEM learning Recent publications demonstrate expertise in tactile learning interfaces, sketch-based developmental assessment, and equitable AI systems. Key disciplines span Human-Computer Interaction, Machine Learning, and Educational Technology. Scientific recognition includes: James Blackiston Memorial Graduate Fellowship Sigma Xi Research Award With professional experience at Lexmark International and MIT Lincoln Lab, Polsley combines practical engineering with educational innovation. His work on sketch-based tools and wearable systems addresses both technical and societal challenges in computing.

Nilanjan Sarkarمشاهده پروفایل

استاد

• Human-Robot Interaction
• Human-Computer Interaction
• Robotics
• +۶ مورد دیگر

Nilanjan Sarkar is the Vice Dean and Senior Associate Dean for Faculty Affairs at Vanderbilt University's School of Engineering, holding the David K. Wilson Professorship in Engineering. He is a Professor in Mechanical Engineering, Computer Engineering, and Computer Science. His research focuses on intelligent systems for human interaction, including robotics, virtual/augmented reality, and assistive technologies for neurodevelopmental disorders and aging populations. Education: PhD (Mechanical Engineering, University of Pennsylvania), ME (Indian Institute of Science), BE (Indian Institute of Engineering Science and Technology, Shibpur). Research interests span human-robot interaction, sensor fusion, and rehabilitation engineering. His lab develops systems for autism intervention, stroke rehabilitation, and elderly engagement through socially assistive robotics and VR/AR. Notable projects include robot-mediated therapy for children and AR telepresence systems for long-term care facilities. Labs/Teams: Robotics and Autonomous Systems Laboratory. Key contributions include CoMove, RASSLE, and the Career Interview Readiness in VR platform. His work emphasizes participatory design with end-users for ethical and inclusive technology.

Colin Allisonمشاهده پروفایل

استاد پژوهش

• Multi-User Virtual Worlds
• Distributed Systems
• Computer Networks
• +۵ مورد دیگر

Dr Colin Allison is an Honorary Research Professor at the University of St Andrews' School of Computer Science, specializing in Multi-User Virtual Worlds (Metaverses), Distributed Systems, Computer Networks, and Quality of Service (QoS). He holds a PhD in Computer Science from the University of St Andrews, an M.Sc. in Computing from the University of Dundee, and an M.A. in Sociology from the University of Edinburgh. His research focuses on immersive learning environments, virtual world infrastructure, and educational technologies. Notable projects include leading the Immersive Learning Research Network (iLRN), managing Open Virtual Worlds initiatives, and investigating Quality of Service in distributed systems. Dr. Allison has organized international conferences and published extensively on virtual reality applications in education and cultural heritage. Key contributions include advancing scalable learning environments like Finesse, exploring video fingerprinting for digital asset management, and investigating covert channels in internet protocols. He has collaborated on interdisciplinary projects such as LAVA (virtual archaeology) and the Global Smart Spaces initiative. Dr. Allison has secured grants for projects like the European Learning Grid Infrastructure (ELeGI) and has served as Principal Investigator for initiatives such as Interface and the Scottish Metropolis Area Networks project. His work bridges academic research with practical applications in education, technology, and heritage preservation. He has advised on multiple research projects and has been a keynote speaker at conferences on internet security, immersive education, and virtual worlds.