جست‌وجوی استاد و پژوهشگر

Ignacio Avellinoمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction (HCI)
• Remote Collaboration (CSCW)
• Robotics
• +۳ مورد دیگر

Ignacio Avellino is a tenured Research Fellow (Chargé de Recherche) at CNRS, working in the Institute of Intelligent Systems and Robotics (ISIR) at Sorbonne-Université. His research focuses on Human-Computer Interaction (HCI) in healthcare, particularly surgical telementoring, remote collaboration (CSCW), and robotics. He holds a PhD from Paris-Saclay University (2017) under Michel Beaudouin-Lafon and conducted postdoctoral research at ISIR and UMBC. Education: PhD in HCI, Paris-Saclay University (2017) Postdoctoral Fellowships: ISIR (France) and UMBC (USA) Research Interests: His work bridges HCI with medical applications, emphasizing interaction design in surgical settings. Key areas include telementoring systems, telepresence tools for collaborative work, and robotic surgery interfaces. He explores challenges like gaze interpretation in hub-satellite collaboration and surgical video summarization for postoperative debriefing. Grants & Recognition: ISI Grant from IUIS (2020) Best Paper Honorable Mention at ACM CHI 2023 CHI Steering Committee member (Early Career Researcher) Advising & Grants: Supervises PhD/MSc students (e.g., Anastasiya Zakreuskaya, Nour Karoui) and manages grants like the IUIS-funded telementoring project. Collaborates on surgical cockpit systems to keep surgeons physically present during operations. Labs & Teams: Leads ISIR's healthcare systems group, focusing on surgical robotics and AR/VR applications. Active in collaborative projects like the Surgical Cockpit and Comanipulation for robotic tools.

• Computer Science
• Telecommunications
• Virtual Reality
• +۴ مورد دیگر

Jakov Cakareski is an Associate Professor in the Informatics Department at New Jersey Institute of Technology (NJIT). His research focuses on immersive technologies, telecommunications, and video streaming optimization. He has led multiple National Science Foundation (NSF)-funded projects including 'miVirtualSeat' for semantic-aware immersive meetings, 'ICE-T' for millimeter wave-based mobile VR, and studies on childhood adversity in the insular cortex. His work integrates machine learning, edge computing, and network architecture design to enhance virtual/augmented reality experiences. Key Projects: ICE-T: Millimeter Wave & Edge Computing for Mobile VR miVirtualSeat: Semantics-Aware Immersive Communication Future VR/AR Network Teleportation Workshop Dr. Cakareski has published over 190 peer-reviewed articles with a strong focus on video streaming optimization (e.g., BONES neural-enhanced streaming), mmWave wireless systems, and 360-degree video technologies. His research bridges theoretical frameworks with practical implementation in emerging technologies like the Metaverse and AR/VR ecosystems. Funding: 10+ active NSF grants totaling $10M+ since 2015

• Human-Computer Interaction
• Gesture Recognition
• Child-Computer Interaction
• +۵ مورد دیگر

Lisa Anthony is a Professor affiliated with the University of Florida, specializing in Human-Computer Interaction (HCI) with a strong focus on gesture recognition, touchscreen interfaces, and child-computer interaction. Her research emphasizes the design of user-centered technologies for diverse populations, including children, older adults, and individuals with disabilities. Key contributions include studies on children's touchscreen interaction patterns, multimodal authentication systems, and mHealth applications for behavior change. Her work spans over two decades, with publications in top-tier venues such as CHI, ICMI, and IEEE Transactions. Notable projects include the MTAGIC initiative exploring child motion characteristics, the design of MyTrack+ for weight management, and studies on spherical interfaces. She collaborates extensively with researchers in computer science, education, and healthcare to address real-world challenges in technology accessibility and usability. Lisa's research has implications for improving educational tools, healthcare apps, and collaborative learning environments. While no grants or awards are explicitly listed, her prolific publication record underscores her sustained contributions to HCI and related fields.

Kinshukمشاهده پروفایل

استاد

• Learning Analytics
• Learning Technologies
• Mobile Learning
• +۳ مورد دیگر

Kinshuk is a Professor and Dean of the College of Information at the University of North Texas. He holds a PhD in Computer Aided Learning from De Montfort University (1996), an MS in Mechanical Computer Aided Engineering from Strathclyde University (1993), and a BE in Mechanical Engineering (Honors) from Rajasthan University (1992). His research focuses on learning analytics, mobile/ubiquitous learning systems, cognitive profiling, and interactive technologies. Recent work emphasizes trust dynamics, vulnerability in organizational contexts, and trust repair mechanisms. Key contributions include conceptual frameworks for measuring culturally invariant trust and analyzing vulnerability in human relationships. Publications from 2022–2025 explore trust repair strategies, organizational vulnerability, and innovative team structures. His work bridges educational technology with social sciences, addressing both theoretical and applied challenges in modern learning environments. No scientific awards are explicitly mentioned in the provided materials. Kinshuk's advising/grants involvement and lab affiliations remain unspecified in the current data.

Pernille Rattleffمشاهده پروفایل

پژوهشگر

• Educational Development
• STEM Education
• Higher Education Pedagogy
• +۵ مورد دیگر

Pernille Rattleff is an Educational Developer at the Center for Teaching and Learning in Engineering Education at the Technical University of Denmark (DTU). She focuses on advancing pedagogical practices in STEM education, particularly in engineering and law disciplines. Her work emphasizes teacher training, curriculum design, and active learning strategies to enhance student engagement and conceptual understanding. Research interests include educational reform in university contexts, qualitative studies on student learning processes, and the integration of technology in teaching. She has contributed to institutional projects such as redesigning legal education curricula and developing video-based learning resources. Recent publications highlight her work on STEM educator training, first-year student experiences, and the role of teaching portfolios in faculty evaluations. She supervises PhD students in projects exploring conceptual understanding in physics and generative AI applications in engineering education. Her contributions extend to designing active learning environments, peer learning strategies, and evaluating the impact of computational tools in mathematics instruction. She is affiliated with DTU's Learning Lab and collaborates on initiatives to strengthen university pedagogy and educational innovation.

Michael Kochمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Computer-Supported Cooperative Work (CSCW)
• Collaboration Technology
• +۳ مورد دیگر

Michael Koch is a Professor of Human-Computer Interaction (HCI) at the University of Bundeswehr Munich in Germany. He holds a doctorate (PhD) and Habilitation in Informatics from TU München. His research focuses on collaboration technologies, socio-technical systems design, and integrating user interface innovations for team and community support. He leads the Cooperation Systems Center Munich (CSCM) and chairs the HCI Special Interest Group in the German Computing Society (GI). He has held industry roles at Xerox Research Centre Europe and academic positions at TU München, University of Dortmund, and University of Bremen. Education: PhD in Informatics, TU München (1997) Habilitation in Informatics, TU München (2003) Research Interests: Designing usable systems for work and leisure contexts Computer-Supported Cooperative Work (CSCW) Socio-technical system integration for team collaboration Human-Computer Interaction innovations Professional Roles: Fellow of the German Computing Society (GI) Member of ACM SIGCHI Chapter and EUSSET boards Editorial roles in i-com Journal and Lecture Notes in Informatics Advising & Collaboration: Guided over 10 PhD/Master’s students Active in European cyber defense research through Forschungszentrum Cyper Operations His research bridges technical innovations with human-centric design principles, emphasizing real-world applicability in enterprise and community settings.

• Game-Based Learning
• Serious Games
• Educational Technology
• +۵ مورد دیگر

Alf Inge Wang is a Professor of Game Technology at the Department of Computer Science and Information Science (IDI) at NTNU, part of the Faculty of Information Technology and Electrical Engineering. He specializes in game-based learning, serious games, and educational technology, with a focus on leveraging technology to enhance learning experiences and interactive systems. His work bridges software engineering and pedagogical innovation, notably through co-founding Kahoot!, a globally recognized educational platform. Affiliations: Professor, Department of Computer Science and Information Science, NTNU Director of the Software Engineering Group Adjunct roles in industry-university collaborations Research Focus: Game-based learning frameworks and their impact on engagement Exergaming (exercise + gaming) for health and fitness Design methodologies for serious games User experience in educational technology Awards & Recognition: Recipient of NTNU’s “Teacher of the Year” (2022) Kahoot! won multiple awards including Norwegian Startup of the Year (2015) and EDTECH Awards Gold Merit Award for Technology in Education (2023) Entrepreneurial Ventures: Co-founder of Kahoot! (2012), a global leader in game-based learning Founder of PlayPulse (training games), Maenage (gamified chores), and BitPet (AR exergame) BitPet’s AR app won Slush 2022 product launch and partnered with Niantic (Pokémon Go) Grants & Projects: Technical coordinator for UNESCO’s EduApp4Syria initiative (Arabic language apps for Syrian refugees) Research funded by NTNU, Nordic Innovation, and EU programs

Zulqarnain Rashidمشاهده پروفایل

پژوهشگر ارشد

• Digital Healthcare
• Internet of Things
• Ubiquitous Computing
• +۵ مورد دیگر

Dr. Zulqarnain Rashid is a Senior Research Fellow and Technical Lead for Digital Healthcare at King's College London's Institute of Psychiatry, Psychology & Neuroscience (IoPPN). He leads cross-functional projects focusing on product development, data collection from wearable devices and smartphones, and collaborations with clinicians, software developers, and data scientists. Previously, he was a post-doctoral researcher at the University of Dundee, focusing on assistive technologies for individuals with severe communication and physical disabilities. He earned his PhD from Pompeu Fabra University (2016), researching independent living for wheelchair users via IoT. His work spans digital healthcare, IoT, accessibility, and mobile health. Key projects include RADAR-CNS (remote assessment of brain disorders), MAAM (cardiometabolic risk in ADHD), and EDIFY (eating disorder recovery trajectories). He also developed the open-source RADAR-base platform for remote patient monitoring. His research emphasizes wearable devices and smartphone data for mental and physical health conditions, including depression, ADHD, and epilepsy. Collaborations include Queen Mary University of London, the University of Cambridge, and international institutions. Rashid's work has been published in high-impact journals like JMIR Mental Health and Journal of Medical Internet Research. He has spoken at events such as DevOps Live and contributed to public engagement, including a Conversation article on AR for disabled shoppers. His current focus includes longitudinal studies on seasonal depression, COPD monitoring, and clinical trial infrastructure using RADAR-Base.

Irek Ulidowskiمشاهده پروفایل

دانشیار

• Reversible Computation
• Process Calculi
• Operational Semantics
• +۵ مورد دیگر

Irek Ulidowski is an Associate Professor in Computer Science at the University of Leicester, affiliated with the School of Computing and Mathematical Sciences within the College of Science and Engineering. He holds a BSc in Mathematics with Computer Science from Queen Mary College, University of London (1987), an MSc in Foundations of Advanced Information Technology from Imperial College, University of London (1988), and a PhD (1994) from Imperial College for his thesis on 'Local Testing and Implementable Concurrent Processes'. His research focuses on Reversible Computation, including models of reversible processes, semantics of concurrency, process calculi, and structured operational semantics. He has contributed to areas such as reversible debugging of concurrent programs, biochemical systems modeling, and term rewriting with priorities. His work also explores applications in ubiquitous computing and formal methods. Prof. Ulidowski has organized major conferences like CONCUR 2012 and the Reversible Computation series, and chairs the Steering Committee of Reversible Computation conferences. He is a founding member of IFIP WG 1.8 on Concurrency Theory and an editor of Electronic Proceedings in Theoretical Computer Science. He has supervised PhD students including James Hoey, Stefan Kuhn, Daniel Morrison, and Nosheen Gul. His teaching includes courses like CO1108: Foundations of Computation and CO7210: Personal and Group Skills. He currently serves as Director of Part-time Teaching. His research has been supported by grants such as the EPSRC grant for the Reversible Computation 2009 workshop. His publications span journals like New Generation Computing, Journal of Logical and Algebraic Methods in Programming, and conferences like CONCUR and RC.

Ge Gaoمشاهده پروفایل

استادیار

• Computer-supported cooperative work (CSCW)
• Computer-mediated communication (CMC)
• Human-centered computing (HCC)
• +۶ مورد دیگر

Ge Gao is an Assistant Professor at the University of Maryland's College of Information (INFO College). Her research focuses on the intersection of technology use and diversity in teamwork, employing mixed methods to design tools that enhance team communication and collaboration across contexts. She is available to advise PhD students and can be reached at gegao@umd.edu or via phone at 301-405-9518 in Hornbake Building (South Wing), Room 2123-A. Education: PhD in Communication from Cornell University (2017) MS in Psychology from Peking University (2010) BS in Psychology from Peking University (2007) Research Interests: Ge Gao's work centers on computer-supported cooperative work (CSCW), computer-mediated communication (CMC), human-centered computing (HCC), and multilingual/intercultural communication. She investigates how technology bridges linguistic and cultural divides in collaborative environments. Article Trends: Her recent publications (2025-2011) reveal a consistent focus on human-AI interaction, virtual reality social dynamics, multilingual collaboration tools, and the ethical implications of technology in professional and healthcare settings. Projects like "NatSGLD" and "CheXplain" highlight her contributions to robotics and medical AI transparency.

Marcos LIMAمشاهده پروفایل

استاد

• Technology and Innovation Management
• Marketing
• Entrepreneurship
• +۵ مورد دیگر

Marcos LIMA is a Professor at SKEMA Business School in France, specializing in Marketing and Innovation. He holds a Ph.D. in Communication Technologies and an HDR in Management Sciences. His roles include Director of the International Marketing & Business Development MSc Program and Associate Dean of Academy. He has taught globally, with experience in Brazil, the US, Austria, Germany, and France. Education: 2021: HDR en Sciences de Gestion, Université du Littoral Côte d'Opale, France 2003: Ph.D. in Communication Technologies, Universidade Federal da Bahia, Brazil 1999: MSc in Innovation Management, Universidade Federal da Bahia, Brazil 1994: BA in Business Administration, Universidade Federal da Bahia, Brazil Research interests focus on Technology and Innovation Management , Entrepreneurship Education , Knowledge Management , and Smart Cities . He emphasizes collaborative learning methods, including the Case Study Method, and has developed frameworks like the Panteon software for organizational analysis. His work bridges innovation ecosystems and societal challenges, particularly through smart city frameworks and agile organizational models. Publications reflect his expertise in innovation, entrepreneurship, and educational frameworks. Recent work includes studies on design thinking, post-pandemic industrial resilience, and generational workforce dynamics. He has co-authored books such as Entrepreneurship and Innovation Education: Frameworks and Tools (Wiley, 2021) and Réussir mes études des cas (Dunod, 2016). He leads Executive Education programs and has extensive industry experience, including roles as a consultant in Knowledge Management and Technology Parks. His research networks include the Réseau de Recherche sur l'Innovation (RRI) and editorial roles in journals like Innovations and Marché et Organisations . LIMA’s work emphasizes practical applications of theory, such as action-research methodologies and frameworks for evaluating entrepreneurial education effectiveness. He splits his time between Paris and Lille campuses, contributing to both academic and applied innovation initiatives.

• Robotics
• Machine Learning
• Representation Learning
• +۳ مورد دیگر

Fotios Lygerakis is a doctoral student and university assistant at the Chair of Cyber-Physical Systems, University of Leoben, Austria. He focuses on advancing machine learning and robotics, particularly in representation learning, visuotactile fusion, and robot learning through imitation and reinforcement learning. His work aims to enable robots to mimic human learning processes via abstraction and creativity, targeting tactile-rich manipulation tasks and human-robot interaction. Education: Pursuing a doctoral degree in Cyber-Physical Systems at the University of Leoben. Research Interests: Representation Learning and Visuotactile Fusion using self-supervised methods Robot Learning: Reinforcement Learning, Imitation Learning, Sim2Real Transfer Human-Robot Interaction and tactile-aware manipulation Recent Achievements: Received the Best Student Paper Award at the 2024 Ubiquitous Robotics Conference for his work on M2CURL. His research has been presented at venues like ICRA, IROS, and NYU. He is also a contributor to projects like MViTaC and CR-VAE. Engagement: Served on organizing committees for ECESCON 9 and PETRA 2021, and volunteered at TED AI Vienna 2024. Active in teaching as a Machine Learning lab assistant and through outreach initiatives like Neural Coffee Reading Group.

• Human-Computer Interaction
• Artificial Intelligence
• Robotics
• +۴ مورد دیگر

Prof. Jessica Cauchard is a Full Professor in the Department of Computational Perception and Reality at TU Wien. Her research focuses on Visual Computing, Human-Centered Technology, and Human-Robot Interaction, with emphasis on drones, affective computing, and wearable systems. She leads the Artifact-based Computing and User Research group and teaches courses in interface design, human-centered computing, and project supervision. Her work bridges technical innovation with user-centric design, addressing challenges in emergency response (e.g., firefighting drones), cross-cultural technology adoption, and emotional interaction with autonomous systems. Key research areas include human-drone collaboration, trust in automation, and affective robotics. Recent publications explore drone applications in firefighting, emotion regulation in robotics, and culturally adaptive HCI. She actively participates in international conferences like MobileHCI and AutomationXP, contributing to both technical and ethical aspects of emerging technologies. Prof. Cauchard's research integrates multidisciplinary methods from computer science, cognitive science, and design studies. Current projects investigate drone safety protocols, expressive robot behavior, and the socio-technical impact of aerial vehicles in public spaces.

Martin Gjoreskiمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Federated Learning
• +۴ مورد دیگر

Martin Gjoreski is an Ambizione Fellow funded by the Swiss National Science Foundation (SNSF) and holds the position of Researcher at the Faculty of Informatics, Università della Svizzera italiana (USI) in Switzerland. He also serves as a lecturer, teaching courses like Mobile and Wearable Computing during the 2024/25 academic year. His research focuses on Artificial Intelligence, particularly machine learning, federated learning, and explainable AI (XAI), applied to wearable computing, affective computing, and digital healthcare. Education: PhD in Computer Science (2016-20) from the Jožef Stefan International Postgraduate School, Slovenia. Thesis: 'A fusion of classical and deep machine learning for mobile health and behavior monitoring with wearable sensors.' Notable achievements include the 'Jožef Stefan golden emblem' for an outstanding PhD thesis and inclusion in the 'top 2% scientists in the world' (2021). Research Interests: AI-driven healthcare solutions Federated learning for privacy preservation Explainable AI in pervasive systems Wearable sensor data fusion Grants: Leading the 'XAI-PAC' project (SNSF, 2024-2028) and contributing to 'SmartCHANGE' (Horizon Europe, 2024-2028) and 'TRUST-ME' (SNSF, 2024-2027). These focus on AI-based health monitoring and privacy-aware solutions. Labs/Teams: Member of the People-Centered Computing Lab at USI, led by Professors Marc Langheinrich and Silvia Santini. Collaborates on projects involving smart glasses, affective computing datasets, and federated learning frameworks.

Cem Ersoyمشاهده پروفایل

استاد

• Computer networks
• Pervasive computing
• Edge computing
• +۱ مورد دیگر

Cem Ersoy is a Professor at Bogazici University 's Department of Computer Engineering, with a career spanning over 30 years. He has held visiting positions at the University of Trento, Italy, and previously served as Department Head at Bogazici University multiple times. Education : Ph.D. in Electrical Engineering (Polytechnic University, 1992), M.S. in Electrical Engineering (Bogazici University, 1986), B.S. in Electrical Engineering (Bogazici University, 1984) His research focuses on computer networks , pervasive computing , edge computing , and wireless networks . Recent work highlights AI integration in air computing, stress monitoring with wearables, and edge network optimization. Articles span applications of multi-agent DRL, probabilistic tracking, and network slicing. Scientific awards : Elected to the Academy of Sciences of Turkey (2022) Bogazici University Research Excellence Awards (Junior 2007, Senior 2014) He has supervised 24 PhD and 58 MS theses. As principal investigator, he led 35 funded research projects by agencies such as the EU, TUBITAK, and Bogazici University Research Fund. His Google Scholar profile shows 11,856 citations, h-index 43, and i10-index 130.