جست‌وجوی استاد و پژوهشگر

Pablo Salva Garciaمشاهده پروفایل

مدرس

• Network Management
• 5G Networks
• Software-defined Networks
• +۴ مورد دیگر

Dr. Pablo Salva-Garcia is a Lecturer and Programme Leader of the BSc in Web and Mobile Development at the University of the West of Scotland (UWS). He earned his PhD at UWS and has contributed to EU Horizon projects such as SelfNet, SliceNet, and 6GBrains. His research focuses on 5G/6G networks, network slicing, edge computing, and cognitive control planes. He actively participates in the Beyond5GHub, emphasizing practical applications in industrial and aerospace sectors. Salva-Garcia's education includes a PhD from UWS, reflecting his deep institutional involvement. His research interests span Network Management, Software-Defined Networks (SDN), and Cloud Computing. Recent work emphasizes 6G architecture innovations, hardware acceleration (e.g., eBPF-XDP), and topology-aware slice management. His articles highlight trends in 5G/6G deployment challenges, economic feasibility of aerospace 5G, and hardware-based network slicing. He collaborates internationally, addressing multi-tenant network security and real-time video optimization in virtualized environments. Grants/Projects: EU Horizon projects (SelfNet, SliceNet, 6GBrains), Beyond5GHub collaboration. Advising: Accepting PhD students in mission-critical communications and next-gen networks. Salva-Garcia leads the BSc in Web and Mobile Development, integrating academic rigor with industry-relevant skills. He also contributes to the design of immersive network management interfaces and scalable video optimization frameworks.

Adwait Sharmaمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Wearable Technologies
• Machine Learning
• +۵ مورد دیگر

Dr. Adwait Sharma is an Assistant Professor in Computer Science at the University of Bath, leading the Advanced Interaction and Sensing (AIS) Lab. His research focuses on enabling always-available computing through microgesture recognition, wearable technologies, and machine learning, with applications in healthcare, robotics, and smart environments. He holds a PhD from Saarland University and a Master's from the Media Interaction Lab, Austria. Education: PhD (HCI, Saarland University), MSc (Media Interaction, Austria) Research Interests: Interaction Design, Sparse Sensing, Real-Time Recognition, E-textiles His work bridges user-centered design with data-driven insights, addressing scenarios where traditional input methods are impractical. Recent projects include domestic robotics idle-time utilization, emotion-aware in-car systems, and electrotactile feedback for surgery. He has received awards such as the People's Choice Best Demo Award (CHI'23) and holds leadership roles in top conferences like UIST and CHI. Advised students include PhD researchers in wearable computing, robotics, and automotive interaction. His lab collaborates with institutions across Europe under the EMIL project, advancing XR innovation.

Michele Magnoمشاهده پروفایل

مدرس ارشد

• Smart Sensing
• Low-Power Machine Learning
• Wireless Sensor Networks
• +۴ مورد دیگر

Michele Magno is a Senior Lecturer and Privatdozent at ETH Zürich's Department of Information Technology and Electrical Engineering (D-ITET), leading the D-ITET Center for Project-based Learning (pbl.ee.ethz.ch). He holds a PhD in Electronic Engineering from the University of Bologna (2010) and has held visiting roles at institutions like the University of Nice and Mid Sweden University. His research focuses on low-power systems, wearable devices, energy harvesting, and IoT applications. Magno has authored over 350 peer-reviewed papers, with a Google H-index of 49. Notable awards include the 2024 Best Paper Award at ECCV and multiple best poster/demo recognitions at IEEE conferences. His industrial collaborations include projects with STMicroelectronics, Texas Instruments, and Logitech. Teaching contributions include courses on embedded systems, FPGA programming, and machine learning on microcontrollers. Magno's innovations span smart sensors for wind turbines, bio-medical monitoring, and autonomous racing systems, with patents in touch communication and energy-neutral devices. Recent work emphasizes ultra-low-power solutions for AI-integrated wearables, energy-efficient IoT nodes, and real-time embedded vision systems. His labs and teams pioneer technologies like TinyssimoRadar for in-ear gesture recognition and WakeMod for ultra-low-power IoT connectivity.

Kaj-Mikael Björkمشاهده پروفایل

مدرس ارشد

• Supply Chain Management
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Kaj-Mikael Björk serves as Principal Lecturer in Analytics and Logistics at Arcada University of Applied Sciences in Helsinki, Finland, focusing on the practical integration of data-driven methodologies in supply chain systems and computational logistics. His research spans Artificial Intelligence , Machine Learning , and Optimization with specialized applications in acid sulfate soil mapping , signature verification systems , and federated learning architectures . Björk's work consistently leverages Extreme Learning Machines (ELM) to address challenges in imbalanced datasets, privacy-preserving computation, and resource-constrained edge devices, demonstrating significant interdisciplinary impact across environmental science and security domains. Recent publications reveal a pronounced trend toward applied machine learning in critical infrastructure , particularly in developing ELM-based solutions for Finnish environmental challenges and secure distributed AI systems. His 2023-2025 output shows increasing emphasis on 6G-enabled computing continuums and federated learning security , with over 40% of recent work addressing environmental monitoring applications.

• Animation
• Collaborative Play
• Visual Storytelling
• +۳ مورد دیگر

Kyoung Lee Swearingen is an Associate Professor and Graduate Studies Chair at The Ohio State University's Department of Art, Art & Technology. She holds an M.F.A. from OSU, B.F.A. from Savannah College of Art and Design, and B.S. in Chemistry from Sungshin Women’s University. Her expertise spans animation, collaborative play, and humane technology for social good. Her research focuses on creating inclusive games and animations, such as Wall Mounted Level (winner of 'Best Innovative Game' at Montreal 2017) and The Woods , an AR game addressing social isolation. Collaborations with Scott Swearingen produced award-winning projects like Sonder , exhibited globally, and Beacon , an art installation exploring human connection. A former Pixar Technical Director, her filmography includes Ratatouille , Wall-E , and Toy Story 3 , earning 4 Academy Awards. She actively presents at SIGGRAPH, HCI International, and GEM conferences, emphasizing interdisciplinary approaches to technology and storytelling. Education: M.F.A., Art & Technology, The Ohio State University (2004) B.F.A., Computer Art, Savannah College of Art and Design (2001) B.S., Chemistry, Sungshin Women’s University (1995) Awards: 4 Academy Awards for Best Animated Feature (Pixar) Montreal Independent Game Festival Awards (2017) Global film festival recognitions for Sonder Key Projects: Wall Mounted Level : Mixed-reality game promoting reconciliation The Woods : AR cooperative game addressing social isolation Sonder : Collaborative animated short with 144 contributors Grants & Collaborations: 45% effort in IFIP-ICEC 2021 publication Multi-institutional collaborations with Texas Women’s University, MSU, and Monmouth University Labs & Teams: Works at the intersection of art, technology, and social impact through Ohio State’s design programs and global partnerships.

François Bérardمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Real-Time Computer Vision
• 3D Interaction
• +۵ مورد دیگر

François Bérard is an Associate Professor at Grenoble INP - Ensimag , part of the LIG laboratory 's Computer-Human Interaction group. His research focuses on real-time computer vision for human-computer interaction, 3D interaction, and touch interaction latency. He holds a PhD from Joseph Fourier University and has held visiting roles at MIT Media Lab and Xerox PARC. Education: PhD in Computer Science (1995-1999), Joseph Fourier University DEA in Computer Science (1993-1994), Joseph Fourier University MST ESI (1991-1993), Joseph Fourier University Research Interests: His work spans interactive surfaces, augmented reality, and the sensory-motor basis of natural interaction. Notable projects include the 'Magic Table' and contributions to the SmartSpaces SIGGRAPH demo. Publications: Over 20 peer-reviewed articles since 1996, with recent focus on latency effects in touch interaction and handheld perspective-corrected displays. Key contributions address user performance under latency, 3D interaction techniques, and AR/VR applications. Awards: Honorable Mention at ACM CHI 2017, Best Demonstration at IEEE ISMAR 2018, and recognition for early work on facial tracking (PR00). Labs/Teams: Active in LIG's IIHM group and collaborates with teams at MIT and Grenoble INP on perceptual interfaces and interactive systems.

• Control Engineering
• Robotics
• Mechatronics
• +۳ مورد دیگر

Stephen Mascaro is an Associate Professor (Lecturer) in the Department of Mechanical Engineering at the University of Utah, where he has served since 2005. He currently holds the role of Director of Robotics Studies, effective January 2024. His academic journey includes degrees from Clarkson University (BS in Mechanical Engineering and BA in Physics, 1995), and advanced degrees from MIT (MS 1997, PhD 2002 in Mechanical Engineering). His research focuses on control engineering, mechatronics, robotics, and sensor systems. Notable contributions include fingernail imaging for tactile force sensing, robotic tendon modeling, and biomimetic actuators. He has secured grants such as the NRI-Small grant for grasp force research. His work bridges robotics, biomedical engineering, and haptics, with applications in surgical robotics, human-robot interaction, and sensor development. Mascaro teaches courses in Mechatronics and System Dynamics, emphasizing hands-on learning. He actively mentors FIRST Robotics teams and engages in community outreach, including mentoring high school robotics competitions. His awards include the 2024 Top 15% Instructor Award from the University of Utah. His lab develops innovative sensors and robotic systems, integrating principles from biomechanics and materials science. Current projects include real-time tactile sensing via deep learning and robotic tendon repair simulation. His work is published in IEEE Transactions, Journal of Dynamic Systems, and other leading journals, with over 40 peer-reviewed articles since 1998.

• Computer Graphics
• Medical Imaging
• Virtual Reality
• +۳ مورد دیگر

Klaus Hinrichs is a Professor at the University of Münster. His work focuses on computer graphics, medical imaging, virtual reality, and scientific visualization. He leads research in interactive visualization techniques, geometric algorithms, and human-computer interaction, with applications in medical diagnostics, astrophysics, and immersive environments. His research interests include 3D reconstruction, volume rendering, gesture-based interfaces, and redirected walking in VR. He has contributed to projects like VIPAR for histopathology analysis and the Voreen framework for interactive volume visualization. Recent work explores touch interaction with stereoscopic objects, haptic feedback systems, and biometric authentication methods for mobile devices. His publications span over 30 years, emphasizing interdisciplinary approaches to visualization and user interface design.

Adam Grant Worralloمشاهده پروفایل

عضو هیئت علمی

• Virtual Reality
• Augmented Reality
• Mixed Reality
• +۹ مورد دیگر

Dr. Adam Grant Worrallo is an Associate Lecturer in Computer Science at the School of Mathematics and Computer Science, Faculty of Science and Engineering, University of Wolverhampton. He holds a PhD from the same institution, awarded in 2020, and specializes in Virtual and Augmented Reality, Human-Computer Interaction, and Game Development. Education: BSc (Hons) in Computer Science (Games Development) MSc in Computer Science PhD in Computer Science from the University of Wolverhampton (2020) His research focuses on immersive technologies, including Virtual Reality, Augmented Reality, Mixed Reality, Haptics, and Visual Computing . He also explores applications in mobile and web development, gaming, and software engineering , with a strong emphasis on user interaction and interface design. His technical expertise spans Unity3D, Python, JavaScript, Android SDK, and AI frameworks like TensorFlow and Keras. His recent publications highlight innovations in optical hand tracking for VR, dual-mode web-based 3D interfaces, and assistive technologies using low-cost brain-computer interfaces. These works reflect a consistent focus on enhancing user experience in interactive digital environments , particularly through novel input methods and accessible design. Professional Affiliations: Fellow of the Higher Education Academy Professional Member of the British Computer Society (BCS) Dr. Worrallo brings industry experience as an independent mobile developer and former Systems Assistant Engineer. He has designed and marketed mobile apps for iOS and Android and developed applications for smart home devices like Alexa and Google Home. His development experience covers full-stack technologies including Node.js, MongoDB, Flutter, PHP, and Docker, under both agile and waterfall methodologies. He is actively involved in teaching and research at the University of Wolverhampton, contributing to both academic and practical advancements in computer science education and interactive technology.

Michael L. Riveraمشاهده پروفایل

استادیار

• Digital Fabrication
• Human-Computer Interaction
• 3D Printing
• +۶ مورد دیگر

Michael L. Rivera is an Assistant Professor at the ATLAS Institute and the Department of Computer Science at the University of Colorado Boulder. He leads the Utility Research Lab, a highly interdisciplinary group that invents and investigates digital fabrication technology, tools, and techniques with the goal of advancing science and engineering while positively impacting people, society, and the environment. Dr. Rivera completed his Ph.D. and M.S. in Human-Computer Interaction at the Human-Computer Interaction Institute of Carnegie Mellon University, where he was advised by Scott Hudson as part of the DevLab. Before Carnegie Mellon, he earned a M.S.E in Computer Graphics and Game Technology and a B.S.E in Digital Media Design from the University of Pennsylvania. He also previously worked as a software engineer at Facebook. His research spans the intersection of digital fabrication, human-computer interaction, and material science. Dr. Rivera's work focuses on developing novel fabrication techniques such as desktop biofibers spinning, electrospinning, and sustainable material processing with everyday waste products like coffee grounds. His research has significant implications for sustainable manufacturing, tangible interfaces, and accessible technology design. Analysis of his recent publications reveals a consistent focus on making digital fabrication more accessible, sustainable, and interdisciplinary. His work bridges computer science, material engineering, and design, with particular emphasis on open-source hardware development, computational design tools, and applications for social good. The research demonstrates a progression from fundamental fabrication techniques toward more applied, socially conscious applications. CRA/CCC Computing Innovation Fellowship Google - CMD-IT Dissertation Fellowship Carnegie Mellon University Sansom Endowed Presidential Fellowship Adobe Research Fellowship Honorable Mention Xerox Technical Minority Scholarship Dr. Rivera is currently recruiting PhD students to join the Utility Research Lab. His research has been supported by various fellowships and grants throughout his career, including industry partnerships with Google and Adobe. His work demonstrates strong potential for future funding in sustainable manufacturing and accessible technology. The Utility Research Lab, directed by Dr. Rivera, is a highly interdisciplinary research group focused on inventing and investigating digital fabrication technology. The lab has developed several notable projects including the Desktop Biofibers Spinning Machine (presented at CHI 2024), desktop electrospinning technology (CHI 2019), and systems for 3D printing with spent coffee grounds. The lab maintains an active GitHub presence with numerous open-source repositories related to their research.

• Human-Computer Interaction
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Dr. Philipp Mock serves as a Research Fellow at the Leibniz Institute for Knowledge Media (IWM) in Tübingen, Germany, where he has been a core member of the Media Development Group since 2014. His technical expertise centers on developing machine learning algorithms and AI systems for human-machine interaction, with current responsibilities including software development and methodological consulting for ML applications. Education: PhD in Computer Science, University of Tübingen (2017) Diploma in Computer Science, University of Tübingen (2004-2011) Mock's research integrates Human-Computer Interaction with machine learning to analyze behavioral patterns through interaction data. His work spans multimodal interfaces, educational technology, and cognitive assessment systems, with particular focus on translating touch interaction metrics into predictors of cognitive states (ADHD risk, workload) and developing novel collaborative interfaces for tabletop displays. This interdisciplinary approach bridges computer science, cognitive psychology, and educational design to create adaptive systems that respond to user behavior in real-time. His publication trajectory reveals a clear evolution from foundational work on interactive surface technologies (2012-2015) toward sophisticated ML applications for behavioral analysis (2016-2018). Current projects like the longitudinal human-AI interaction study (2024-2026) demonstrate continued innovation in understanding long-term dynamics between users and intelligent systems, with strong emphasis on real-world educational and clinical applications. Mock actively contributes to multiple IWM research labs including Multimodal Interaction, Everyday Media, Perception and Action, and Knowledge Construction. His collaborative projects such as the human-AI interaction study span these labs, reflecting an integrated approach to studying how people interact with increasingly sophisticated AI systems across diverse contexts from museums to educational settings.

Chat Wacharamanothamمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Interactive Statistics
• Scientific Decision-Making
• +۷ مورد دیگر

Chat Wacharamanotham is an external lecturer and researcher at Swansea University's Computational Foundry, having joined from the University of Zurich (UZH) in July 2022. Prior to UZH, he was affiliated with RWTH Aachen University in Germany. His work bridges interactive technologies and scientific decision-making, particularly in the context of statistics. His research interests lie at the intersection of Human-Computer Interaction, Interactive Statistics, and Scientific Decision-Making . He investigates how interactive tools can support scientists in planning experiments and interpreting statistical reports, using methodologies such as Human-Centered Design, Contextual Inquiry, and lab experiments with eye- and motion-tracking. His work emphasizes transparency, usability, and cognitive support in data analysis workflows. The recent publications highlight a consistent focus on interactive statistical tools, experimental design support, and gaze-based analysis . Projects like Argus, Touchstone2, and Statsplorer demonstrate a trajectory toward building interactive systems that guide users through complex statistical reasoning. The research integrates visualization, user interface design, and empirical evaluation, primarily within the HCI domain. While no scientific awards are listed in the provided text, his contributions to the field are evident through his active publication record in premier venues like CHI and IEEE TVCG. Chat Wacharamanotham is involved in teaching, including a seminar on Experiments in Human-Computer Interaction for Master's students. Although he is no longer available for thesis supervision, he continues to contribute to academic instruction at UZH. His research is conducted within a collaborative lab environment, as evidenced by co-authored works with teams from various institutions.

Mathias Streicherمشاهده پروفایل

استادیار

• Consumer Behavior
• Shopper Marketing
• Sensory Marketing
• +۳ مورد دیگر

Dr. Mathias Streicher is an Assistant Professor of Retail Management and Scientific Director of the Retail Lab at the University of Innsbruck's Faculty of Business and Management. His affiliation is with the Department of Strategic Management, Marketing and Tourism. He focuses on consumer behavior, shopper marketing, and sensory marketing, employing experimental field and lab designs to explore how physical interactions (e.g., touch, posture) and environmental cues influence purchasing decisions. His research has been published in top journals like the Journal of Marketing , Journal of Consumer Research , and Journal of Consumer Psychology , earning multiple awards from the American Marketing Association. Notable studies include investigations into how shopping cart designs activate arm muscles to influence spending, and how visual attention patterns affect unplanned purchases. Dr. Streicher collaborates with a team including Oliver Koll, Roland Schroll, and others. He has secured grants like the FFG Innovation Grant (€10.5k) and the Aktion D. Swarovski Research Grant (€2k). His work has been featured in Harvard Business Manager , The Daily Mail , and radio/TV programs such as ARD and ORF 2. He teaches SE Retail Management II and leads the Retail Lab, emphasizing interdisciplinary approaches to decision-making research. Key societal contributions include advancing understanding of self-education for informed consumer decisions and optimizing retail environments through sensory interventions.

Nathalie Sinclairمشاهده پروفایل

استاد

• Mathematics Education
• Embodied Cognition
• Aesthetic in Mathematics
• +۵ مورد دیگر

Dr. Nathalie Sinclair is a Professor in the Faculty of Education at Simon Fraser University (SFU), recognized as a Distinguished SFU Professor. Her work focuses on the interplay of embodied cognition, aesthetics, and digital technologies in mathematics education, with notable research areas including the role of dynamic geometry software, Indigenous mathematics (e.g., Tla'amin stone fish traps), and early childhood spatial reasoning. Research Highlights: Development of TouchCounts , a multitouch digital tool for number learning. Investigation of gestural communication and tangible mathematics learning. Exploration of the aesthetic dimensions of mathematical thinking and teacher education. Awards & Recognition: 2019 Svend Pedersen Lecture Award 2017 Royal Society of Canada Membership 2014 SFU Excellence in Graduate Supervision Award Her publications span over 100 books, chapters, and articles, emphasizing the transformative potential of technology in mathematics education and the integration of body-based, sensory experiences in learning. She has supervised numerous graduate students and contributed to international curriculum development initiatives, including the Mathematics Teacher in the Digital Era project.

Hemant Suraleمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Artificial Intelligence
• Mixed Reality
• +۳ مورد دیگر

Hemant Surale is a Researcher specializing in Human-Computer Interaction (HCI) and Applied AI, with expertise in Mixed Reality (MR), Wearable Computing, and Gestural Interfaces. His work bridges theoretical research and practical implementation in tech R&D departments at companies like Meta, Microsoft, Snap, and Google/North. He earned his Ph.D. in Computer Science from the University of Waterloo, Canada, under the guidance of Daniel Vogel, Mark Hancock, and Edward Lank. Research Focus : Hemant explores Mode-switching principles for MR applications Wearable input devices (e.g., rings, wristbands) AI integration in user interface design Empirical evaluation of interaction techniques Scientific Awards : David R. Cheriton Graduate Scholarship (3x) IDSA CS Achievement Snap Research Fellowship Advising & Collaborations : Hemant has advised multiple researchers, including Shwetha Rajaram (CHI'25), Ruei-Che Chang (UIST'25), and Junxiao (Shawn) (University of Bristol, UK). His work often involves cross-industry teams, particularly in XR and multimodal interaction projects.