Hirokazu Kato is a Professor at Kyoto University's Graduate School of Informatics, Department of Applied Mathematics and Physics. He has held academic positions at multiple institutions including Osaka University (PhD 1996), Hiroshima City University (1999-2003), and Nara Institute of Science and Technology (2003-2007). His research spans augmented and virtual reality, human-robot interaction, computer graphics, and healthcare technology. Kato has collaborated extensively with institutions like Chuo University and Nagoya University. Key research areas include AR/VR applications in social interaction, medical training, and industrial automation. He has developed systems for pain relief via robotic touch, AR-enhanced job interview training, and mixed-reality educational platforms. Over 217 publications since 1989 reflect his contributions to fields like near-eye display optimization, gesture recognition, and multimodal interaction design. Notable projects include: Augmented Reality face filters for social anxiety mitigation Huggable robots with intra-hug gesture modeling AR-based physical therapy systems using patient-specific motion simulation General software frameworks for AR industrial tasks His work bridges technical innovation with human-centric applications, emphasizing real-world usability across education, healthcare, and manufacturing domains.
Pradeep Sen is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara, where he directs both the UCSB MIRAGE Lab and the UCSB Gaucho Game Lab. His research spans computer graphics, computational photography, and real-time rendering, with significant contributions to high dynamic range imaging and Monte Carlo rendering techniques. Sen has established himself as a leading researcher in computer graphics with numerous publications in top venues including SIGGRAPH and IEEE Transactions on Visualization and Computer Graphics. Ph.D. in Electrical Engineering, Stanford University (2006) M.S. in Electrical Engineering, Stanford University (1998) B.S. in Computer and Electrical Engineering, Purdue University (1996) Dr. Sen's research primarily focuses on novel rendering algorithms for accelerating global illumination and image-based techniques for capturing light transport. His work bridges theoretical advances in computer graphics with practical applications in video game development and immersive technologies. He has made significant contributions to patch-based high dynamic range video, computational zoom, and denoising Monte Carlo renderings using machine learning approaches. His research has important applications in virtual reality, augmented reality, and medical imaging. Analysis of Sen's recent publications reveals a strong trend toward integrating machine learning techniques with traditional computer graphics algorithms. His work has evolved from fundamental rendering techniques to more complex applications involving neural networks for image synthesis, 3D reconstruction, and content creation. There's a clear progression from his early work on dual photography and HDR imaging to more recent work on virtual try-on systems, diffusion models for image editing, and cosmic ray detection frameworks. Symposium on Computer Animation (SCA) Best Paper Award (2016) High Performance Graphics (HPG) Best Paper Finalist (2015) CVPR 2015 Outstanding Reviewer Award (2015) National Science Foundation CAREER award (2009) SIGGRAPH/Eurographics Graphics Hardware Conference Best Paper Award (2004) Dr. Sen has successfully mentored numerous PhD and Master's students who have gone on to prominent positions at companies like Adobe, Facebook Reality Labs, and Pinterest. His research has been generously funded through multiple NSF grants totaling over $1.6 million, including a prestigious CAREER award. He has also secured funding from NVIDIA, Sandia National Laboratories, and other sources to support his innovative work in computer graphics and visualization. As Director of both the UCSB MIRAGE Lab and the UCSB Gaucho Game Lab, Sen leads research teams focused on advancing computer graphics, imaging, visualization, and computer vision technologies. The MIRAGE Lab conducts fundamental research in rendering algorithms and computational photography, while the Gaucho Game Lab focuses on video game development and immersive experiences. These labs foster interdisciplinary collaboration between computer science, electrical engineering, and media arts students and faculty.
Jamey Essex is a Professor in the Department of Political Science at the University of Windsor, affiliated with the Faculty of Arts, Humanities, and Social Sciences. His work focuses on geopolitics, international development, diplomatic labor studies, and food security. He has contributed to understanding the intersections of state policy, global institutions, and societal impacts through research on USAID, Canadian foreign policy, and transnational aid frameworks. Key research interests include analyzing how geopolitical dynamics shape diplomatic practices (e.g., Havana Syndrome in US diplomacy), the role of institutional culture in bureaucratic labor (e.g., Global Affairs Canada), and the neoliberal underpinnings of food security policies. His work often bridges critical political geography with empirical studies of development aid, urbanization, and transnational governance. Recent publications highlight themes like children’s roles in political protests, Arctic Council governance, and the sociocultural dimensions of diplomatic work. Essex’s scholarship emphasizes the material and symbolic aspects of state action, including case studies from Indonesia, Canada, and the United States. His interdisciplinary approach integrates political science, geography, and sociology to address contemporary global challenges. Advising and grants are not explicitly detailed in the provided texts, but his prolific publication record reflects sustained engagement in research networks and academic collaboration. Essex’s work contributes to debates on development ethics, geopolitical strategy, and the human dimensions of institutional change.
Anastasiia Varava is an affiliated faculty member and PhD student at KTH Royal Institute of Technology, working within the Division of Robotics, Perception and Learning. Her research focuses on computational geometry and topology applied to robotic manipulation, particularly caging theory and its practical implementations for handling rigid and deformable objects. She collaborates with advisors Florian Pokorny and Danica Kragic on theoretical and applied robotics challenges. Her work integrates robotics with interdisciplinary fields such as topology, machine learning, and computer vision. Key topics include path planning, deformable object manipulation, and geometric algorithms for motion verification. Recent contributions emphasize data-driven approaches for latent space modeling and visual action planning in robotics systems. Varava has authored or co-authored over 30 peer-reviewed articles and conference papers, covering topics from caging-based motion planning to molecular screening algorithms inspired by robotics. Her publications span journals like IEEE Transactions on Robotics and conferences such as IROS and ICRA, reflecting a strong focus on practical robotic systems with theoretical rigor. Her doctoral thesis, Path-Connectivity of the Free Space: Caging and Path Existence (2019), established foundational work on caging and path non-existence in robotics. Current projects involve advancing geometric evaluation techniques for data representations and exploring diffusion models for robotic skill learning.
Dr. Simeon Gill is a Professor in Fashion Technology at the University of Manchester , contributing to the Department of Fashion Business Technology. His research focuses on automation of pattern generation, body scanning applications, and sustainable apparel practices, aligning with UN SDGs related to sustainable manufacturing. Gill leads projects like SORO-MADE (Soft Robotic Mannequin) and Apparel Advance , exploring textile innovation and sustainable manufacturing. He has supervised 8 PhD students and authored over 68 publications since 2009, with recent work emphasizing 3D body scanning, compression garment engineering, and educational tools for pattern construction. His collaborative network spans global institutions and industry partners. Key achievements include the Best Conceptualisation Paper Award (2025) for educational design frameworks and contributions to datasets like Alva Form Body Measurements . Gill actively engages in media discourse on sizing ethics and has appeared in BBC interviews, addressing issues like vanity sizing and body image. His lab work integrates robotics and AI to advance garment functionality and fit, with a focus on athlete apparel and aging demographics. Professional affiliations include membership in The Textile Institute, and he contributes to industry initiatives like the White Paper on Landmarking for Product Development . His research bridges academic rigor with industrial application, driving innovations in mass customization and virtual fitting interfaces.
George Wolberg is a Professor of Computer Science at the City College of New York (CCNY), affiliated with the Computer Engineering program. His research focuses on computer graphics, image processing, 3D modeling, and multimedia surveillance, with contributions to digital image warping, feature extraction, and algorithmic art. He holds an office at North Academic Center 8/202G and can be reached at wolberg@ccny.cuny.edu. Over his career, Wolberg has explored interdisciplinary applications such as medical imaging for hypertension analysis and robotic page-turning mechanisms for musicians. His work bridges theoretical foundations with practical implementations, including contributions to 3D urban modeling and sensor fusion systems. Notable trends in his publications include advancements in 3D reconstruction techniques (e.g., RGB-D camera calibration), interactive media systems (e.g., smart picture frames), and medical imaging applications. His research also extends to educational resources like Introduction to Image Processing . No scientific awards or major grants were explicitly listed in the provided materials. While no formal advisees are documented here, his extensive publication record reflects collaborative research efforts in computer vision and graphics.
Juan Carlos Gonzalez Victores is an Associate Professor at the Department of Systems Engineering and Automation, Universidad Carlos III de Madrid (UC3M), actively leading research in the Robotics Lab. His work spans multiple disciplines including Computer Science, Medicine, and Robotics and Industrial Informatics. Research interests focus on: Human-Robot Interaction with applications in neurorehabilitation and accessibility Autonomous Systems for smart cities and underground infrastructure inspection Deep Learning and Reinforcement Learning for robotic manipulation Medical Robotics with emphasis on surgical and diagnostic applications Recent publications highlight trends in: Garment-agnostic manipulation techniques Neurorehabilitation systems using synthetic data Human-like sketching via Deep Q-Learning Safety analysis of AI-human organizational interfaces Contact: juancarlos.gonzalez@uc3m.es | jcgvicto@ing.uc3m.es
Dinesh K. Pai is a Professor and Tier 1 Canada Research Chair in the Department of Computer Science at the University of British Columbia, where he directs the Sensorimotor Systems Laboratory. He holds cross-appointments at UBC’s Institute for Computing, Information and Cognitive Systems (ICICS), Institute of Applied Mathematics, Graduate Program in Neuroscience, ICORD International Collaboration on Repair Discoveries, and Brain Research Centre. His educational background includes a Ph.D. from Cornell University and a B.Tech. from the Indian Institute of Technology, Madras. His research spans sensorimotor computation with applications in computer graphics, robotics, biomechanics, haptics, and neurobiology. Recent work focuses on human body modeling, garment simulation, soft tissue dynamics, and friction measurement, leveraging machine learning and physics-based simulation techniques. Pai’s publication trends reveal a strong interdisciplinary focus on human-centered computational models, with increasing integration of machine learning for 3D pattern adjustment, body shape generation, and cloth simulation. His work bridges computer graphics with biomechanics and neuroscience through sensorimotor computation. UBC’s 2012 Killam Research Prize CHCCS 2020 Achievement Award Tier 1 Canada Research Chair His research has been supported by significant grants including NSERC Discovery and Idea-to-Innovation grants, a Major Thematic Grant from the Peter Wall Institute for Advanced Studies, and a Human Frontier Science Program grant for studying CNS modularity. As leader of ICICS’ Human Sensorimotor Systems theme, he directs a multidisciplinary team exploring computational models of human sensorimotor function. The Sensorimotor Systems Laboratory operates state-of-the-art facilities featuring a Vicon MX motion capture system, LMI HDI body scanner, eye trackers, skin measurement instruments, EMG systems, haptic interfaces, and robotic platforms for advancing human-computer interaction research.
Nicole Reinfeld is a Researcher at Frankfurt University of Applied Sciences, affiliated with Department 1: Architecture, Civil Engineering, and Geomatics. Her work focuses on transportation planning, cycling mobility, and data-driven analysis of urban commuting behavior. Specializes in entropy balancing and cluster analysis for decomposing mobility trends Key projects: ModelRad (bicycle traffic modeling), ParkRight (parking violation analysis) Active in teaching econometrics and production logistics courses Her research spans methodological innovations like zero-inflated regression models and behavioral studies on weather-clothing interactions. She contributes to policy discussions through conference presentations and publications in journals such as Transportation Research Record. Collaborates with colleagues like Dr. Tobias Hagen and Dr. Shahram Saki, particularly on parking violation studies. Leads focus group methodologies and participates in mobility tech development (e.g., FlowMo gamification app).
Jaume Amoros Torrent is a Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Industrial Engineering of Barcelona (ETSEIB). He leads the GEOMVAP research group focusing on Geometry of Varieties and Applications. His research spans algebraic geometry, symplectic geometry, dynamical systems, and applications in robotics and superconductivity. He has authored over 148 publications and contributed to numerous competitive research projects, including studies on galactic dynamics, textile manipulation, and superconducting materials. His work bridges pure mathematics with engineering and physics, emphasizing computational models and experimental validation. He advises doctoral students such as Franco Coltraro and collaborates with institutions like the Institut de Matemàtiques de la UPC. His contributions include textbooks on linear algebra and geometric modeling. Despite no listed awards, his extensive publication record and project leadership highlight his academic impact.
Assoc. Prof. Mahmut F. Aksit is a Faculty Member at the Mechatronics Engineering department of Sabancı University's Faculty of Engineering and Natural Sciences . He holds a Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute (1998) and has over 25 years of experience in academia and industry. Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (1998) M.S. in Mechanical Engineering, Rensselaer Polytechnic Institute (1993) B.S. in Mechanical Engineering, Boğaziçi University (1991) His research spans renewable energy systems , turbomachinery seals , unmanned aerial vehicles , and high-temperature material behavior . He has developed innovative solutions for wind turbine infrastructure , micro-hydro systems , and quad tilt-wing UAVs . Recent publications focus on 3D thermo-elastohydrodynamics , cloth seal leakage performance , and friction characteristics of superalloys . His work combines computational modeling with experimental validation, particularly in tribology and fluid dynamics . Elected Vice President of ASME Turkey Executive Committee (2009) Graduating Class Award, Sabancı University (2009) ASME Gas Turbine Institute Heat Transfer Technical Committee (2006) He has led projects on hydrogen sealing systems , brush seal contact loads , and automated fabric labeling systems , supported by TUBITAK, EUAS, and industry partners. His team collaborates internationally on gas turbine lubrication systems and renewable energy solutions .
Prof. Dr. Frank Haußer is a Professor at Beuth University of Applied Sciences Berlin in the Department II Mathematics - Physics - Chemistry. He serves as the academic advisor for the Applied Mathematics program and teaches courses including Numerical Mathematics, Mathematical Methods of Digital Image Processing, and Computational Engineering. His consultation hours are held during semesters and by appointment, with availability both in-person and online. Haußer's research focuses on: Numerical mathematics and scientific computing Mathematical modeling with applications in MATLAB/Octave Machine learning for medical imaging and insect monitoring Digital image processing techniques for biomedical applications Partial differential equations and computational engineering methods He has authored a textbook on mathematical modeling with MATLAB/Octave and leads interdisciplinary projects at the intersection of mathematics and technology. Analysis of his 15 most recent publications shows strong emphasis on: Medical imaging algorithms (especially retinal OCT analysis) Nanostructure dynamics and material science Computational physics and finite element methods Machine learning applications in biology and medicine Advanced mathematical modeling techniques His work consistently bridges theoretical mathematics with practical engineering applications. Haußer actively supervises student research, including: Machine learning for insect classification and localization Medical image processing algorithms Computational methods in engineering Finite element analysis applications Optimization and simulation techniques He has guided over 30 bachelor's and master's theses since 2009. His research projects include: KInsekt (2020-2023): AI-based insect monitoring funded by BMUV BeCRF (2015-2017): Medical image quality validation funded by BMWi QM ROCT (2013-2015): Automated OCT quality management funded by IFAF These interdisciplinary collaborations involve institutions across Germany.
Dr. Jason Gillis serves as an Associate Professor in the Department of Sport & Movement Science at Salem State University, where he teaches advanced courses including Human Performance in Extreme Environments, Research Methods in Exercise Science, and Exercise Physiology II. He supervises student research in the Human Performance Laboratory and maintains an active research agenda focused on environmental physiology and performance optimization. His academic foundation includes: B.Sc (Hon) in Kinesiology from Dalhousie University, Canada Master's degree from KU Leuven University, Belgium, and the Norwegian School of Sports Science, Norway Ph.D. completed through UK Sport's Research and Innovation Team supporting Beijing and London Olympic preparations Dr. Gillis specializes in environmental physiology with primary research on menthol's effects on human temperature regulation, thermal perception, and athletic performance. His work bridges laboratory investigations with practical sports applications, examining how thermal interventions influence physiological responses during exercise in extreme conditions. He also investigates recovery modalities for exercise-induced muscle damage and sport-specific performance metrics in combat sports like Brazilian Jiu-Jitsu. Analysis of his recent publications reveals a concentrated research trajectory centered on menthol's ergogenic potential and recovery mechanisms. Over the past six years, he has systematically explored menthol dose-response relationships, its application in Olympic sports, and interactions with environmental stressors. His parallel work on foam rolling and phototherapy has established foundational knowledge about non-pharmacological recovery techniques and their impact on autonomic function. Dr. Gillis actively mentors students through research practicum courses (SMS 477/478H) and has co-authored numerous publications with student researchers. His conference presentations at major venues including the American College of Sports Medicine and International Conference of Environmental Ergonomics demonstrate sustained scholarly engagement and knowledge dissemination. The Human Performance Laboratory at Salem State University serves as the operational hub for his investigations into human physiological responses under extreme environmental conditions and sport-specific demands, supporting both his research program and student training initiatives.
Alasdair Dempsey is an Associate Professor in Biomechanics and Sport Science at Murdoch University’s School of Allied Health , with a focus on sports injury prevention and musculoskeletal health. He holds a PhD in ACL injury prevention from the University of Western Australia and has been at Murdoch since 2012, progressing from Lecturer to Senior Lecturer (2016–2023) and currently serving as Associate Dean of Learning and Teaching . Education PhD in Biomechanics (University of Western Australia) BSc (Hons) in Exercise Science (University of Western Australia) His research spans neuromuscular biomechanics in sports injury prevention, particularly ACL injuries in team sports and back injuries in cricket fast bowlers . Recent work applies robotic simulations to forensic science, enhancing stabbing reconstruction accuracy. Publications appear in top-tier journals like WIREs Forensic Science and Frontiers in Sports and Active Living . Scientific recognition includes: Young Investigator Award (2006, Australian Association for Exercise and Sports Science Conference) Collaborative awards from University of Western Australia and national conferences He supervises postgraduate researchers and collaborates with Australian universities. Professional memberships include Exercise and Sports Science Australia and Sports Medicine Australia .
Ian Dadour is an Adjunct Professor in Medical, Molecular & Forensic Sciences at Murdoch University and Deakin University, with prior roles as Professor at Boston University Medical School and Director of the Centre for Forensic Science at the University of Western Australia (UWA). He serves as Western Australia’s Honorary Forensic Entomologist and has collaborated with institutions like the FBI’s Human Remains Recovery School, University of Tennessee’s Anthropological Facility, and Texas State University’s Forensic Anthropology Research Facility. His research focuses on forensic entomology , decomposition dynamics , and forensic applications of insect behavior . He pioneered studies on how insects impact clothing during decomposition and developed guidelines for crime scene investigations. His work bridges forensic science, biomechanics, and trace evidence analysis. Recent publications highlight advancements in robotic stabbing simulations for crime scene reconstruction and textile degradation during decomposition. He has secured Australian Research Council (ARC) grants for projects on insect oviposition on corpses and forensic taphonomy. As an expert witness , he has testified in Australian courts and trained law enforcement globally. Over his career, he supervised numerous postgraduate students and oversaw 450+ graduate certificates/diplomas at UWA’s Centre for Forensic Science.
