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Yaser Sheikh is an Associate Professor at the Robotics Institute of Carnegie Mellon University (on leave) and Director of the Facebook Reality Lab, Pittsburgh . He holds appointments in the Mechanical Engineering Department and focuses on ' metric telepresence ' for AR/VR interactions. His research spans machine perception , computer vision , computer graphics , and machine learning , with applications in social behavior modeling and dynamic 3D reconstruction. University: Carnegie Mellon University Roles: Associate Professor (Robotics Institute), Director (Facebook Reality Lab) Contact: yaser@cs.cmu.edu, yasers@fb.com Research Interests include: Computer Vision: Pose estimation, 3D reconstruction, camera calibration Computer Graphics: Face/Hand animation, photorealistic rendering Machine Learning: Neural rendering, unsupervised learning for landmark detection AR/VR: Telepresence, immersive social interactions Notable Trends in Publications reveal a focus on real-time pose estimation (e.g., OpenPose), dynamic 3D reconstruction , and codec avatars for VR/AR. Recent works emphasize universal priors and neural rendering for photorealistic avatars. Scientific Awards include: Popular Science’s Best of What’s New Award Honda Initiation Award (2010) Best Paper Awards: WACV (2012), SCA (2010), ICCV THEMIS (2009) Hillman Fellowship for Excellence in Computer Science Research (2004) Advising and Grants: He has advised numerous PhD students (e.g., Hanbyul Joo, Tomas Simon) and received funding from the National Science Foundation , DARPA, and industry partners like Intel , Disney , and Honda . Labs & Teams: Leads the Facebook Reality Lab in Pittsburgh, collaborating with institutions like Carnegie Mellon University and Disney Research.

• Computer Vision
• Computer Graphics
• Machine Learning
• +3 more

Robert S. Allison is a Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. His research focuses on human perceptual responses in virtual environments, stereoscopic vision, and eye movement analysis. He is affiliated with the York Centre for Vision Research, Sensorium (Digital Arts & Technology), and the Centre for Innovation in Computing at Lassonde. His research interests include depth perception in natural and virtual environments, human-computer interface design for VR, machine vision applications, and the measurement of human motion. He has supervised multiple graduate students and contributed to over 260 publications. His work spans topics like cybersickness mitigation, display lag effects, and perceptual adaptation in VR. Key grants include NSERC-funded projects on perception in virtual environments and collaborations with institutions like the Australian Research Council. His teaching includes courses on human perception in human-computer interaction and digital logic design. Recent articles highlight advancements in understanding motion perception, VR-induced sickness, and multisensory integration. He collaborates widely, with affiliations including the VISTA program and York's Connected Minds initiative.

• Virtual Reality
• Human-Computer Interaction
• Computer Vision
• +4 more

Camellia Zakaria is an Assistant Professor at the University of Toronto, holding appointments in the Biostatistics Division and Institute of Health Policy, Management, and Evaluation (IHPME) at the Dalla Lana School of Public Health (DLSPH), and the Faculty of Information (FoI). She was recently named Canada Research Chair (Tier 2) for mobile health solutions. Her research focuses on integrating mobile technologies and machine learning to develop equitable health monitoring systems. Education: University of Toronto (Present) University of Massachusetts Amherst (2020–2023) Singapore Management University (2014–2019) Research interests span mobile health, applied machine learning, and human-computer interaction, with a focus on creating inclusive health applications. Her work addresses challenges in environmental sensing, sleep monitoring, and mental health tracking through innovative sensor technologies and data analytics. Key articles (2024–2016) explore medical decision-making, aerosol emissions, and group behavior modeling. Her work has been recognized in venues like BMJ , IMWUT , and CHI . Awards : Canada Research Chair (Tier 2, 2024) Projects like StressMon and WATCHME highlight her commitment to scalable health monitoring systems. She collaborates on lab initiatives such as sensAILabs, advancing interdisciplinary health technology solutions.

• Mobile Health
• Applied Machine Learning
• Human-Computer Interaction
• +3 more

Prof. Yan Tina Luximon is a Full Professor and Associate Dean (Research) at the School of Design, The Hong Kong Polytechnic University. She chairs the School Research Committee, leads the Asian Ergonomics Design Lab, and serves as Deputy Discipline Leader for BA (Product Design). Her work bridges ergonomics, AI design tools, and 3D human modeling in cross-cultural contexts. Education: PhD in Ergonomics from The Hong Kong University of Science and Technology Research interests span Ergonomics in product design 3D digital human modeling for AI applications Anthropometry and cultural design differences Statistical modeling for head/face product development Human-computer interaction and AI visualization Recent publications focus on AI-enhanced 3D head modeling, ergonomic healthtech products, and cross-cultural design psychology, with applications in robotics, mobile technology, and medical devices. Scientific awards include: Gold Medal with jury congratulations at Geneva Inventions 2024 Silver Award at IDEA 2023 for adaptive eyewear design Best Innovation Award at ACED Japan 2017 She supervises postgraduate research and leads projects funded by the General Research Fund (RGC GRF) and Laboratory for AI in Design, including AI Powered Ergonomic Product Design (2025) and 4D Head Movement Prediction (2024).

• Ergonomic design
• Anthropometry
• 3D digital human modeling
• +6 more

Dr. Ding Zhou is an Assistant Professor at the School of System Design and Intelligent Manufacturing (SDIM) at Southern University of Science and Technology (SUSTech). He holds a PhD in Industrial Design from Queensland University of Technology (QUT), Australia (commenced 2018), and prior academic roles include Associate Professor at Nanjing University of the Arts (2009–2018). His research focuses on cross-disciplinary innovation at the intersection of Industrial Design and STEM Education, emphasizing human-centric technology integration. He has conducted visiting research at the University of Virginia (2012) and Victoria University of Wellington (2014–2015). Education: PhD in Industrial Design, Queensland University of Technology (QUT), Australia (ongoing since 2018) M.A. and B.A. in Industrial Design (exact institutions unspecified) Research Interests: Dr. Zhou’s work bridges design science and education, prioritizing how technology enhances human experiences. Key areas include 3D printing applications in STEM education, exoskeleton robotics, computational design aesthetics, and user-centric design processes. He advocates for pedagogical frameworks that cultivate students’ transdisciplinary problem-solving skills through integrated STEM tasks. Articles Trends (2022–2025): Recent publications highlight advancements in 3D printing for education and manufacturing, human-robot interaction, and smart classroom technologies. Notable themes include scalable computer vision systems for posture detection, topology optimization in additive manufacturing, and BIM-enabled construction processes. Labs & Teams: He leads the Design Science and Educational Innovation Lab (DSEIL), focusing on translating theoretical research into practical educational tools and technologies.

• Industrial Design
• STEM Education
• Human-Computer Interaction
• +3 more

Tobias Langlotz is a Professor at the Department of Computer Science, Aarhus University. His primary research focuses on Visual Computing, Augmented Reality, Virtual Reality, Human-Computer Interaction, and Augmented Human applications. He explores advanced vision augmentations and wearable technologies to enhance human perception and interaction with digital environments. His recent work emphasizes understanding visual discomfort in augmented reality systems, developing novel display technologies for mixed reality, and refining presence measurement methodologies in virtual environments. Key contributions include studies on presence questionnaires, neural rendering techniques, and hybrid layered displays. No scientific awards are explicitly listed in the provided materials. His research publications primarily address technical challenges in AR/VR systems and human-centric design principles. No advising or grant information is available in the current text. His work contributes to both academic and applied aspects of augmented and virtual reality technologies.

• Visual Computing
• Augmented Reality
• Virtual Reality
• +2 more

Nenad N. Cvetkovic is a Full Professor at the Faculty of Electronics, University of Niš, specializing in Theoretical Electrical Engineering. He earned his PhD (2009), MSc (2002), and BSc (1995) from the same institution. His research focuses on electromagnetic field interactions with biological tissues, grounding system design, and numerical modeling of geoelectrical phenomena. Key areas include mobile phone radiation effects on human tissues, SAR distribution in anatomical models, and innovative approaches to multi-layered soil grounding analysis. He has contributed over 19 peer-reviewed articles in high-impact journals, addressing topics like dental implant EM interactions, orthodontic brace SAR profiles, and optimizations for grounding systems. His work bridges theoretical rigor with practical applications in electrical safety, biomedical engineering, and environmental geoelectrics. Prof. Cvetkovic is actively engaged in national/international research projects and speaks English and German fluently. His laboratory activities include finite element method (FEM) simulations, experimental validation of grounding models, and collaborations on standards for non-ionizing radiation exposure assessment.

• Theoretical Electrical Engineering
• Electromagnetics
• Bioelectromagnetics
• +3 more

Xiliu Yang is a Research Associate at the Institute of Computational Design and Construction (ICD) , University of Stuttgart. Bachelor of Arts in Architecture, University of Hong Kong Master of Science (Distinction), ITECH programme, University of Stuttgart Her research explores the intersection of human–robot collaboration (HRC) , augmented reality (AR) systems , and timber prefabrication . She investigates how AR interfaces can enhance multi-user workflows with industrial robots, focusing on safety protocols, task allocation, and user agency in automated environments. Recent publications highlight her work on large-scale multi-human-robot systems , error-handling in AR-assisted construction , and asymmetric AR instruction methods . Her studies often involve industry partnerships and real-world fabrication demonstrators, such as the livMatS biomimetic shell and Spatial Lacing composite systems. Scientific Awards: IntCDC Thesis Grant Research Residency at Autodesk Technology Centre She previously co-founded 3DNA , a startup developing cloud-based platforms for eyewear manufacturing, and contributed to distributed robotic platforms for fibrous material fabrication.

• Human-Robot Collaboration
• Augmented Reality in Construction
• Computational Design
• +3 more

Lorraine McGinty is an Associate Professor at the School of Computer Science, University College Dublin. She holds a BSc and PhD from UCD. Her research focuses on AI-driven user experiences, particularly in Recommender Systems, Case-Based Reasoning, and Intelligent User Interfacing. She has published over 100 peer-reviewed papers and secured funding from SFI/EI, industry partners, and UCD. Key roles include Director of Taught Graduate Studies (2012–2016) and establishing international practitioner partnerships, which grew masters enrollments from 69 to nearly 500. Awards include the UCD Teaching & Learning Award (2010) and multiple Best Paper awards (e.g., 2001, 2004). She serves on committees for conferences like ICCBR and RecSys. Teaching includes coordinating modules like Web Design and Introduction to AI. Research emphasizes critiquing mechanisms, conversational systems, and group recommendations, with applications in eyewear, travel, and route planning.

• Artificial Intelligence
• Recommender Systems
• Case-Based Reasoning
• +3 more

Dr. Christian Winkler is a researcher in Human-Computer Interaction (HCI) at the University of Ulm's Department of Human-Computer Interaction. He focuses on wearable technologies, mobile VR systems, and innovative projection-based interfaces. His work emphasizes secure mobile interactions, context-aware pervasive systems, and nomadic computing solutions. Education: B.Sc. Media Informatics & Design (2007), Bielefeld University M.Sc. Applied Computer Science - Systems Engineering (2010), University of Duisburg-Essen PhD in Computer Science (2016), University of Ulm Research Interests: Wearable interfaces, mobile interaction design, secure authentication systems, and augmented reality applications. Projects include PocketThumb (wearable eyewear control), FaceTouch (VR HMD touch interaction), and Glass Unlock (privacy-preserving smartphone unlocking). Key Publications: Recent works focus on spatial interaction in moving vehicles (CHI 2025), cursorless pointing techniques (2018), and wearable dual-sided touch interfaces (IMWUT 2017). His 2014 AMP-D project received an Honorable Mention at CHI. Awards: Best Note Award at ITS 2013 (Penbook project) CHI 2014 Honorable Mention for Ambient Mobile Pervasive Display Teaching & Advising: Supervised over 15 student theses on topics like projector phones, hospital workflows, and augmented reality. Taught courses in Pervasive Computing and Mobile HCI at University of Ulm. Labs & Teams: Core contributor to the HCI Group, exploring future interaction paradigms through projects like Hover Pad (self-actuated displays) and UbiBeam (home projector systems). Active in program committees for CHI and Mobile HCI conferences.

• Human-Computer Interaction
• Wearable Technology
• Mobile Computing
• +6 more

Ana Cristina Marques Daniel serves as an active Associate Professor at the Higher School of Technology and Management (Escola Superior de Tecnologia e Gestão - ESTG) within Portugal's Instituto Politécnico da Guarda (IPG), where she bridges engineering principles with healthcare innovation through teaching and research activities. Her research program demonstrates exceptional interdisciplinary breadth: Biomechanics : Advanced studies on human balance control, gait dynamics, and plantar pressure distribution inform orthotic design and rehabilitation protocols for mobility impairments. Visual System Engineering : Pioneering work on eye movement simulation, visual stress diagnostics, and orthokeratology contact lenses enhances vision correction methodologies and low-vision assistance. Rehabilitation Technology : Development of mechatronic systems for motor recovery and smart-city-integrated assistive devices represents significant translational impact in assistive technology. Biomedical Modeling : Computational frameworks for human vibration response and corneal mechanics enable predictive healthcare solutions for occupational health and refractive therapy. Examination of her 15 most recent publications reveals an evolutionary trajectory from foundational biomechanical modeling toward integrated smart-city applications, with 2023-2024 works emphasizing predictive analytics for motor dysfunction and innovative visual aid systems. This progression demonstrates movement from laboratory research to real-world implementation, highlighting growing emphasis on user-centered design in healthcare technology development. No scientific awards or major professional honors were documented in the source materials. While specific doctoral advisees aren't listed, her frequent co-authorship on student-involved projects (e.g., 3D printing applications, ocular training apps) suggests active mentorship in engineering education. The absence of dedicated laboratory descriptions indicates collaborative research within institutional frameworks rather than standalone facilities.

• Biomechanics
• Biomedical Engineering
• Ophthalmology
• +3 more

Jonathan Caleb Sutton is a Postdoc (Researcher) at the Department of Computer Science, University of Copenhagen, affiliated with the Human-Centred Computing section. His work bridges computational technology with human perception, focusing on augmented reality and wearable interfaces. Research interests include: Human-Computer Interaction, Augmented Reality, Interaction Design, Digital Eyewear, and Perception Modulation. His recent publications explore visual augmentations, brightness modulation in AR, and perception-enhancing wearable technologies. The Human-Centred Computing section emphasizes collaborative, inclusive research environments and maintains modern labs with diverse equipment for experimental studies. Sutton contributes to advancing AR applications for real-world visual guidance and comfort optimization.

• Human-Computer Interaction
• Augmented Reality
• Interaction Design
• +2 more

Qin Lv is a Professor in the Department of Computer Science at the University of Colorado Boulder. She earned her PhD in Computer Science from Princeton University, followed by a postdoctoral position there and an assistant professorship at Stony Brook University. Her research focuses on integrating system design with data analysis for managing large-scale datasets, spanning search systems, data mining, mobile systems, social networks, and interdisciplinary applications in geoscience, renewable energy, and environmental science. Her work has been cited over 2,000 times and earned notable awards such as the 2010 ISLEPED Best Paper nomination and the 2012 Computational Sustainability Award for personalized driving behavior analysis. Research Interests: Efficient system design for big data management Interdisciplinary applications in energy and environmental science Wearable technology and smart eyewear systems Social media analysis and public perception studies Fake news detection and misinformation mitigation Machine learning for geoscience and renewable energy systems Scientific Contributions: Dr. Lv has pioneered work in battery system modeling, mobile air quality sensing, and event analysis in social networks. Her recent research explores AI-driven wearable systems and cross-platform analysis of public responses to technological and environmental challenges. Over 30 peer-reviewed publications reflect her expertise in both technical system design and societal impact investigations.

• Data Mining
• Search Systems
• Mobile Systems
• +8 more

Dr. Tommaso Polonelli is a Lecturer and Postdoctoral Researcher at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Center for Project-Based Learning (PBL). He leads teaching initiatives and research in IoT systems, energy-efficient electronics, and autonomous technologies. His research focuses on energy-efficient systems, smart sensing, and ultra-low power computing, with applications in UAVs, wind turbine monitoring, and wearable devices. He also serves as a Scientific Advisor at RTDT Laboratories AG, an ETH spin-off. Polonelli holds a PhD (2020) and Master’s degree (2017) in Electronic Engineering from the University of Bologna. He has co-authored over 60 publications and received awards such as the Spark Award (2021), KITE Award finalist (2024), and the Certificate of Achievement for National Scientific Qualification (2023). He is an active IEEE member and contributes to both academia and industry through innovations in sensor technology and predictive maintenance. His work emphasizes interdisciplinary collaboration, with projects ranging from structural health monitoring to AI-enhanced systems. Recent efforts include Aerosense—a MEMS-based monitoring system for wind turbines—and ElectraSight, a smart eyewear platform with non-invasive eye tracking.

• Embedded systems
• IoT
• Wireless Sensor Networks
• +7 more

Fabrice Seguin is a Lecturer at IMT Atlantique 's Department of Optics (OPT), with over two decades of expertise in integrated circuit design for biomedical sensors and flexible electronics. His career began at Telecom Bretagne in 2002 after completing his PhD in Bordeaux (2001) on high-speed current-conveyors for RF circuits. Research Focus Smart contact lens systems for eye tracking Stretchable textile transducers for biomechanical/flow sensing Low-power analog/digital processing for autonomous sensors Medical imaging photonics (liquid xenon detectors) Key Publications highlight advancements in: Multiphoton Compton cameras via Time-Over-Threshold photon counting PEDOT:PSS-coated elastane yarns with 600% stretchability Subthreshold CMOS ASICs for gaze tracking with 0.2° accuracy Scientific Awards include the 2nd OPTIM-ABB Prize Paper Award (2002). His patents cover contact lens eye-tracking systems and RF energy harvesters. Seguin co-leads the Hardware Architectures and CAD Tools team at Lab-STICC and contributes to PRACOM research pole.

• Biomedical Engineering
• Integrated Circuits
• Flexible Electronics
• +3 more