جست‌وجوی استاد و پژوهشگر

• Distributed Systems
• Human-Computer Interaction
• Mobile Computing
• +۴ مورد دیگر

Mirjana Spasojevic is a researcher and collaborator in Human-Computer Interaction , Distributed Systems , and Interactive Media . She has contributed to innovations in Augmented Reality for family engagement Context-aware mobile interfaces Collaborative digital storytelling Ubiquitous computing systems Preschooler communication tools Her work bridges technical research with social implications, emphasizing user experience and accessibility. Research Trends from her 15 most recent publications (1994-2023) show sustained focus on Human-robot interaction and failure detection (2023) Smart jewelry and wearable interfaces (2015) Family videochat and connected reading (2010-2011) Early mobile photoware systems (2010) Networked toys for distance play (2011) Asynchronous messaging for children (2011) Academic Contributions span from foundational distributed systems research in the 1990s to modern interactive media explorations. Her collaborations with institutions like Carnegie Mellon University (via Mahadev Satyanarayanan) and tech companies suggest cross-disciplinary impact.

Leo Wuمشاهده پروفایل

مدرس ارشد

• Medical Robotics
• Assistive Robotics
• Manufacturing Robotics
• +۵ مورد دیگر

Dr. Leo Wu is a Senior Lecturer at the School of Mechanical and Manufacturing Engineering, University of New South Wales (UNSW), Sydney, Australia. He earned his BS and PhD in Mechanical Engineering from Tsinghua University, followed by postdoctoral roles at National University of Singapore (2014-2015) and Queensland University of Technology (QUT) as a Vice-Chancellor’s Research Fellow (2016-2018). From 2016-2020, he was affiliated with the Australian Centre for Robotic Vision, an ARC Centre of Excellence. PhD in Mechanical Engineering, Tsinghua University (2013) BS in Mechanical Engineering, Tsinghua University (2008) His research focuses on medical robotics , particularly flexible robots and intelligent perception systems for minimally invasive surgery . He has also made significant contributions to Lie groups theory in robotics , kinematic modeling and calibration for surgical and industrial robots, and wearable assistive technologies . His work integrates soft robotics with variable stiffness mechanisms and multimodal sensing , often leveraging machine learning and control engineering to enhance robotic autonomy and precision. Scientific awards include prestigious fellowships such as the QUT Vice-Chancellor’s Research Fellowship , QUT ECARD/VCRF Travel Fellowship , and Associate Fellowship of Higher Education Academy . He has received multiple academic honors from Tsinghua University and national scholarship programs. Dr. Wu actively supervises HDR students, focusing on surgical robotics and teleoperated orthopaedic systems . His research portfolio includes grants from the ARC Discovery Projects , UNSW MME RIS , and QUT internal schemes , covering topics like bioinspired flexible haptics , vision-guided robotic assembly , and precision motion capture systems . Collaborations extend to institutions like QUT, NUS, and clinical partners in robotic vision.

• Human-Computer Interaction
• Usability Research
• Eye Tracking
• +۲ مورد دیگر

Kasper Hornbæk is a Professor at the Department of Computer Science, University of Copenhagen, specializing in Human-Centred Computing. He conducts research in human-computer interaction (HCI), usability, eye tracking, visualization, and software engineering. Primary Fields: Human-Computer Interaction, Usability Research, Eye Tracking, Visualization, Software Engineering Recent Collaborations: International (country/territory-level) partnerships in HCI and AI Research Outputs: 228 publications focusing on multimodal interaction, VR, and causal modeling His work explores audio-tactile integration, theoretical frameworks in HCI, and principles for user interface design through empirical studies and meta-analyses. Recent projects include heartbeat resonance interfaces and critiques of experimental methodology. Contact: kash@di.ku.dk | Research Website

• Game Technology
• Game Design
• Serious Games
• +۷ مورد دیگر

Professor Remco Veltkamp holds a faculty position at Utrecht University's Faculty of Science with a focus on Game and Media Technology . As Scientific Director of AI Labs and coordinator of the Utrecht Center for Game Research , his work bridges serious games, virtual reality, and human-centered AI applications. He leads the Dynamics of Youth Hub 'Healthy Play, Better Coping' exploring gaming's role in pediatric chronic illness management. Academic leadership in gaming technology Director of Utrecht's AI Labs Founder of Serious Game Society Editor of International Journal of Serious Games Research spans game design, AR/VR interaction, 3D object recognition, and multimedia systems with applications in: Healthcare gamification Energy conservation Bioinformatics Social behavior analysis Computer vision Recent work includes: 2025: Developing fatigue management therapy games 2024: Analyzing protest dynamics through social media 2023: Creating equine pain assessment systems 2022: Gamification in food sustainability As educator, he teaches Game Programming and Small Project Game and Media Technology , while pioneering applications of gaming in healthcare and education sectors.

Robert Sainburgمشاهده پروفایل

استاد

• Motor Control
• Neuroscience
• Neurorehabilitation
• +۳ مورد دیگر

Robert Sainburg is the Dorothy Foehr Huck and J. Lloyd Huck Distinguished Chair in Kinesiology and Neurology at Penn State University and Penn State College of Medicine. He directs the Center for Movement Science and Technology (C-MOST) and operates two laboratories: the Movement Neuroscience Laboratory at University Park and the Neurorehabilitation Research Laboratory at Hershey Medical Center. Currently holding professorships in both Kinesiology and Neurology, Sainburg's work bridges basic neuroscience with clinical rehabilitation applications. Education Ph.D. in Neuroscience from Rutgers University (1993) MS in Neurobiology and Physiology from Rutgers University (1989) BS in Occupational Therapy from New York University (1984) Postdoctoral Fellowship in Neurobiology under Dr. Claude Ghez at Columbia University (1993-1996) Research Focus Sainburg's work centers on neural lateralization for motor control , developing the Dynamic Dominance Model that explains hemisphere-specific contributions to predictive and impedance control. His research spans: Multi-joint arm coordination mechanisms Stroke-induced motor deficits analysis Proprioceptive feedback systems Virtual reality rehabilitation frameworks Bi-hemispheric brain function Neurological patient population studies Scientific Recognition Elected Fellow, National Academy of Kinesiology (2024) Huck Distinguished Chair (2021) AOTF Academy of Research (2019) Pattishall Research Achievement Award (2008) Research Infrastructure As C-MOST director, Sainburg integrates two major facilities: the Movement Neuroscience Lab (University Park campus) focuses on basic motor control mechanisms, while the Neurorehabilitation Lab (Hershey Medical Center) directly applies findings to clinical populations. The Kinereach VR system , developed in-house, enables precise movement tracking and distortion experiments.

Andrew Selbyمشاهده پروفایل

مدرس ارشد

• Illustration
• Animation
• Graphic Design
• +۴ مورد دیگر

Andrew Selby is a Senior Lecturer in Illustration and Animation at Loughborough University's School of Design and Creative Arts. He previously served as Head of the School of the Arts (2011-2014), leading it to achieve a Top 40 QS World Ranking for Art and Design. Later, he acted as Associate Dean for Enterprise in the School of the Arts, English and Drama, overseeing a 2021 Research Excellence Framework submission that resulted in 100% of Loughborough’s Art and Design research impact being rated 'world-leading' or 'internationally excellent.' His artistic practice spans three decades of international acclaim, with illustrations featured in major global publications like The New York Times , Guardian , and Los Angeles Times , alongside corporate campaigns for Nike, Barclays, and Volvo. His work is held in public collections across the US, Australia, Japan, New Zealand, and Saudi Arabia. Notably, he has created influential covers for The Lancet journals, including Journal of Infectious Diseases and Journal of Gastroenterology & Hepatology . Research interests include editorial illustration's evolving role, animation history, service design methodologies, and co-design processes in education. His projects often merge traditional illustration with emerging technologies like augmented reality, as seen in collaborative educational tools for primary schools. Andrew’s work has garnered awards from prestigious bodies including the American Illustrators, Society of Illustrators (NYC/LA), and 3x3 Contemporary Illustration. He continues to engage with commercial clients such as Eurostar, Wishbone Design, and the London Transport Museum, bridging artistic excellence with professional applications. His contributions to academic leadership include advancing research impact strategies and fostering cross-disciplinary innovation. Current initiatives focus on the intersection of visual arts with healthcare communication and urban cultural heritage.

Xiaoyin Wangمشاهده پروفایل

دانشیار

• Natural Language Processing
• Program Analysis
• Software Engineering
• +۶ مورد دیگر

Xiaoyin Wang is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio, with affiliations to the College of AI, Cyber and Computing. She previously held a PostDoc position at UC Berkeley's Department of Electrical Engineering and Computer Science. Ph.D. in Computer Science, Peking University (2012) B.Eng. in Computer Science, Harbin Institute of Technology Her research focuses on Natural Language Processing , Program Analysis , Software Engineering , and Software Security . Key sub-areas include: Software migration and compatibility Build system automation Testing and debugging methodologies Privacy policy enforcement in mobile apps Deep learning for software analysis Augmented/Virtual Reality testing Recent publications (2022-2024) emphasize automated oracle prediction for AR/VR testing, data-sensitive analysis, and DevOps toolchain optimization. Trends include: Adaptation of program analysis to immersive environments Privacy-preserving software engineering Empirical studies on testing frameworks Academic accolades include: NSF CAREER Award (2019) President's Research Achievement Award (UTSA, 2019) Multiple best paper awards at ICSE, TOSEM She has advised 7 graduate students, including: Current: Rodney Rodriguez, Xueling Zhang, Sunzhou Huang Graduated: Xue Qin (Villanova), Foyzul Hassan (UM-Dearborn), Shaikh Mostafa (Amazon/Microsoft) Laboratory work involves tools like: TranStrL: Software internationalization Hima: API mapping for framework evolution NetworkProfiler: Android app fingerprinting DOVAR: AR/VR visualization for education Uniloc: CI failure diagnosis

• Food Safety
• Food Microbiology
• Pathogen Reduction
• +۲ مورد دیگر

Dr. Philip G. Crandall is a Professor in the Department of Food Science at the University of Arkansas. He holds a Ph.D. and M.S. in Food Science from Purdue University and a B.S. in Horticulture from Kansas State University. His research focuses on retail food safety and green technologies to minimize risks from foodborne pathogens across the food supply chain. Research interests include: System-wide intervention strategies for food safety risk reduction Impact of sanitizing agents and practices on Listeria monocytogenes contamination Role of equipment and employees in foodborne illness transmission Development of educational programs for food safety training His publications focus on food safety training methodologies, handwashing compliance, and technological interventions in food service environments. Research employs behavioral science approaches and emerging technologies to improve safety outcomes. Honors include: IFT Fellow (2012) President of Phi Tau Sigma (1996) Multiple honorary society memberships including Phi Kappa Phi and Sigma Xi Holds patents for food safety innovations including: Use of lactic acid bacteria as bio-sanitizers Soybean pectin production methods High-brix citrus concentration processes

Kyoung-Don Kangمشاهده پروفایل

استاد

• Real-time embedded systems
• Cyber-physical systems
• Internet of Things
• +۴ مورد دیگر

Kyoung-Don (KD) Kang is a Professor in the School of Computing at Binghamton University, State University of New York. He specializes in real-time embedded systems, cyber-physical systems, and IoT security. His research focuses on enhancing real-time data services' timeliness and power efficiency, supported by NSF grants and industry collaborations. Education: BS, MS (Kyungpook National University); MS, PhD (University of Virginia). Research Interests: Real-time embedded systems, cyber-physical systems, IoT, security, edge computing, and wireless sensor networks. His work emphasizes control-theoretic approaches, feedback mechanisms, and adaptive algorithms for real-time systems. Grants & Projects: NSF-funded projects include 'Enhancing Timeliness of Real-Time Data Services' and 'QoS-Aware Data Management.' He leads the Real-Time Embedded Systems Laboratory, developing frameworks like Chronos and RTMR. Awards: Best Paper nominations (DCOSS'19), NSF grants, and patents in surveillance systems. Over 16 MS students and 9 PhD students have graduated under his mentorship, many joining top tech firms. Labs & Teams: Director of the Real-Time Embedded Systems Lab, focusing on edge computing, real-time stream processing, and secure IoT applications. Collaborates with industry partners like Samsung and Intel.

Ronak R. Mohantyمشاهده پروفایل

عضو هیئت علمی

• Human-Computer Interaction
• Extended Reality (XR)
• Haptic Technology
• +۳ مورد دیگر

Dr. Ronak R. Mohanty is a Research Scientist in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison , specializing in Human-Computer Interaction and Applied Perception . His work focuses on human-centric design principles to develop innovative Extended Reality (XR) and haptic technologies for applications in health technology, orthopedic surgery training, and XR learning. He has contributed to cutting-edge research at Meta Reality Labs , particularly in haptics-based wearable devices and human augmentation technologies. Primary Affiliation: University of Wisconsin-Madison Department: Industrial and Systems Engineering Ronak R. Mohanty’s research spans multisensory experience design, with a focus on haptic rehabilitation , augmented reality (AR) for triage training, and spatial audio accessibility solutions. His work bridges academic and industrial domains, emphasizing inclusivity and precision in XR systems. Scientific publications highlight trends in XR technology , haptics , medical simulations , and assistive interfaces . His studies explore motor strategies in virtual spaces, bone-drilling analytics, and speech-driven 3D modeling, reflecting interdisciplinary expertise in human augmentation and user-centered design . Contact: ronak.mohanty@wisc.edu

Xuefu Zhouمشاهده پروفایل

دانشیار

• Deep Learning
• Wireless Communications and Networking
• Internet of Things (IoT)
• +۴ مورد دیگر

Xuefu Zhou is an Associate Professor in the Department of Electrical Engineering at the University of Cincinnati, where he joined as an Assistant Professor in 2005 and was promoted in 2010. He holds an M.S. and Ph.D. in Electrical Engineering from the same university. Prior to academia, he worked in industry from 1995 to 2000 as an R&D Engineer, Senior Engineer, and Project Manager, specializing in distributed computer control systems and real-time embedded systems. His research interests span Deep Learning, Wireless Communications, IoT, Biomedical Signal Processing (e.g., ECG analysis), and Non-Destructive Evaluation. He directs the Wireless and Mobile Communication Lab (WMCL) and oversees the Master of Engineering (MENG) Graduate Program. Zhou has received notable awards including the 2011 and 2012 William E. Restemeyer Teaching Excellence Award, and the 2013 and 2018 CEAS Master Educator Award. He is a Senior Member of IEEE. He has led or collaborated on grants totaling over $1M, focusing on topics like ECG screening for cardiomyopathy, smart transportation systems, and edge AI classifiers. Recent projects include collaborations with Procter & Gamble, Medical Interface Solutions, and the Federal Highway Administration.

• Artificial Intelligence
• Machine Learning
• Biomedical Engineering
• +۱ مورد دیگر

Dr. Sahil Sharma is a Research Fellow at the School of Computing, Engineering and Intelligent Systems, Ulster University, Derry~Londonderry campus. His interdisciplinary research bridges artificial intelligence, biomedical engineering, and agricultural science, with significant contributions to medical diagnostics and sustainable agricultural practices through advanced computational techniques. Sharma's primary research domains include artificial intelligence (particularly deep learning and large language models), biomedical engineering (focusing on cardiac biomarker detection and medical data analysis), and agricultural science (specializing in plant biostimulants and sustainable farming). His work demonstrates consistent innovation in applying machine learning to solve real-world problems across healthcare and agriculture, with recent emphasis on explainable AI for medical visualization and anime recommendation systems. Analysis of Sharma's 15 most recent publications (2023-2025) reveals a dominant trend toward AI-driven healthcare solutions, including cardiac troponin I detection assays, XAI-based medical data visualization, and synthetic data generation for diagnostics. Parallel work explores agricultural applications through deep learning-based crop monitoring systems. His research outputs show strong translational impact, with significant citations (h-index 86) and practical implementations referenced in patents, particularly in the biomedical domain where his 2012 agricultural paper accumulated 85 Scopus citations.

Nicolas Louvetonمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Cognitive Ergonomics
• Virtual Reality
• +۴ مورد دیگر

Nicolas Louveton is an Associate Professor at the University of Poitiers, affiliated with the Center for Research on Cognition and Learning (CeRCA) within the School of Humanities and Social Sciences. His work bridges cognitive science and practical interface design across automotive, cybersecurity, and industrial contexts. His research focuses on Human-Computer Interaction , Cognitive Ergonomics , and Virtual Reality , with specific expertise in visual attention, multitasking performance, and driver behavior. Current projects include the RESISTECC initiative for cyber crisis management training, industrial VR maintenance scenarios (INTEROPS project), and autonomous vehicle trust studies (CMI project). Louveton's recent publications reveal a strong trend toward applied VR solutions for high-stakes environments, particularly in cybersecurity training effectiveness and driver-AI interaction. His work consistently applies cognitive ergonomics principles to measure mental workload, situational awareness, and usability in complex systems. As an educator, he leads the UX/UI Ergonomics Master's program and teaches courses on interface usability, visual perception, and UX research methodology. He also serves as Carnot Cognition correspondent for CeRCA laboratory. Supervises PhD candidates Marine Desvergnes and Deslande Liboutchi Pepe Formerly co-supervised Clarisse Lawson-Guidigbe (now Head of Web Editorial) Member of CNU 16 (Psychology and Ergonomics) 2019-2023 Co-head of Digital Interactive Games and Media Master's program 2018-2022

• Technology-Enhanced Learning
• Artificial Intelligence in Education
• Online Group Learning
• +۳ مورد دیگر

Dr Julie-Ann Sime is a Lecturer in Educational Research at Lancaster University's Faculty of Arts and Social Sciences (FASS). She specializes in technology-enhanced learning (TEL), focusing on inclusive education for neurodiverse learners and innovative pedagogical designs. Her work emphasizes AI integration, virtual learning environments, and group-based learning strategies. Dr Sime has extensive teaching experience across undergraduate, master's, and doctoral programs, including leading the Doctoral Programme in e-Research and Technology Enhanced Learning since 2008. She has supervised over 30 PhD students and examined numerous theses. Her external roles include advising the European Institute of Innovation and Technology (EIT), European Commission grant evaluations, and quality assessments for international universities. Her research spans 30+ years, with over 100 publications and 10+ funded European projects. Notable contributions include the CIELL mobile app (winner of the 2021 ELTon Award) and the Digital Wellbeing Educators initiative. Key areas of focus are inclusive design for dyslexia/ADHD/autism, game-based learning, and virtual/augmented reality applications in education. Dr Sime's awards include the British Council's ELTon for Digital Innovation and multiple ERASMUS+ recognitions. She contributes to academic communities through roles as an external examiner for Heriot-Watt University and active participation in conferences like the Networked Learning Conference. Her current interests include design-based research methodologies, MOOC development, and leveraging emerging technologies such as haptics and holography for enhanced educational experiences. She leads research groups in Social Justice in Education and Technology-Enhanced Learning at Lancaster University.

Torsten Braunمشاهده پروفایل

استاد

• Machine Learning
• Networking and Telecommunications
• Edge Computing
• +۳ مورد دیگر

Prof. Torsten Braun is a Professor and Head of the Communication and Distributed Systems (CDS) research group at the Institute of Computer Science, University of Bern. His research focuses on advanced networking technologies, edge computing, and machine learning applications in telecommunications. He leads projects addressing challenges in 5G/6G networks, federated learning optimization, and intelligent systems for smart cities. His work integrates theoretical frameworks with practical implementations, emphasizing distributed systems, service-oriented architectures, and IoT security. Key research areas include edge caching strategies for VR/AR applications, trajectory prediction using reinforcement learning, and resilient network design against jamming attacks. Braun has contributed to innovations in vehicular networks (V2X), RAN intelligence, and decentralized machine learning frameworks. He holds leadership roles in developing adaptive resource management systems for edge-cloud environments and has pioneered solutions for energy-efficient federated learning in heterogeneous IoT ecosystems. Publications span topics like spatial-temporal point cloud sensing, mobility-aware service orchestration, and secure positioning systems. His team explores cross-disciplinary applications such as LoRaWAN-based urban heat monitoring and blockchain-inspired public key infrastructures for IoT (Veritaa-IoT). Braun actively engages in standardization and industry collaborations to advance next-generation network architectures.