جست‌وجوی استاد و پژوهشگر

Xue Liuمشاهده پروفایل

استاد

• Intelligent Computing and Communications Systems
• Sustainable Computing
• AI and Machine Learning Applications
• +۳ مورد دیگر

Xue Liu is a Professor and William Dawson Scholar at McGill University's School of Computer Science, affiliated with the Department of Mathematics and Statistics (courtesy appointment) and the Department of Electrical and Computer Engineering. He holds positions as Vice President R&D and Chief Scientist at Samsung AI Center Montreal, and serves as Chair (2021-2023) of ACM SIGBED. His research focuses on intelligent computing, cyber-physical systems, sustainable computing, AI/ML applications, IoT, and blockchain technologies. Dr. Liu has received multiple Best Paper Awards from conferences such as IEEE GLOBECOM, IEEE HPCC, and IEEE/ACM IWQoS. He is a Fellow of the Canadian Academy of Engineering (FCAE) and IEEE (FIEEE). His work bridges academia and industry, with entrepreneurial ventures including advisory roles at Infinity Stones Inc., TandemLaunch, and Aerial Technologies. He co-edits the Journal of Blockchain Research and serves on editorial boards of major journals like ACM Transactions on Cyber-Physical Systems and IEEE Transactions on Networking. Key research contributions include innovations in blockchain infrastructure, smart grid optimization, and AI-driven systems. His labs, including the Cyber-Physical Intelligence Lab and MILA affiliation, advance interdisciplinary research in machine learning, robotics, and networked systems. Dr. Liu mentors startups and advises initiatives like Learnable Inc., integrating AI into education and healthcare. Education Affiliations: McGill University School of Computer Science (prestige rankings include top 25 globally per QS 2023) Awards: Multiple Best Paper Awards, FCAE & FIEEE Fellowships Labs: Cyber-Physical Intelligence Lab, MILA, CIM, SYTACom Publications: Over 150 peer-reviewed articles, including books on cloud computing, smart grids, and cyber-physical systems

Mandayam A. Srinivasanمشاهده پروفایل

استاد پژوهشی

• Haptics
• Human-Machine Interaction
• Virtual Reality
• +۳ مورد دیگر

Mandayam A. Srinivasan is a Hans Fischer Senior Fellow at the Technical University of Munich (TUM) and holds a position as Senior Research Scientist in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). He directs MIT's Laboratory for Human and Machine Haptics (Touch Lab), part of the Research Laboratory of Electronics. His research focuses on haptics, integrating biomechanics, neurophysiology, and engineering to advance tactile interactions in virtual environments and medical applications. Education: B.E., Bangalore University, 1975 M.E. in Aeronautical Engineering, Indian Institute of Science, 1977 M.S. and Ph.D. in Mechanical Engineering, Yale University, 1979 and 1984 Research Interests: Srinivasan’s work explores the computational and cognitive foundations of touch, with applications in virtual reality, surgical training, and robotics. He pioneers haptic technologies for medical simulations, wearable devices, and autonomous systems, emphasizing the biomechanical and neurophysiological underpinnings of tactile perception. Publications: His articles span haptic rendering algorithms, surgical simulation methodologies, and actuator design, reflecting a focus on interdisciplinary solutions for tactile interaction challenges. Scientific Awards: 2005 Fellowship Award, Engineering and Physical Sciences Research Council (EPSRC), UK 2001 Class 1 NASA Tech Brief Award 1997 and 1998 Computers & Graphics Best Paper Awards Advising & Grants: While no explicit student advisees are listed, Srinivasan collaborates extensively with co-authors on projects such as surgical simulation and haptic robotics. His work is supported by institutional and industry partnerships. Labs & Affiliations: As director of MIT’s Touch Lab, he leads a global hub for haptic innovation, contributing to the MIT Virtual Environment & Teleoperator Research Consortium and fostering cross-disciplinary research.

• 3D Computer Animation
• Computer Graphics
• Animation Technology

John Li is an Assistant Professor specializing in 3D Computer Animation at Emily Carr University of Art + Design. His work focuses on advancing animation techniques and visual technologies. Research interests include computational methods in animation, character modeling, and real-time rendering. No specific articles or awards are listed in the provided text. No information about advising students, grants, or affiliated labs/teams is available.

Patrick HORAINمشاهده پروفایل

استاد

• Computer Vision
• 3D Motion Capture
• Image Processing
• +۵ مورد دیگر

Prof. Patrick HORAIN is a Professor and Director of ARMEDIA studies at Telecom SudParis. His research focuses on computer vision, 3D motion capture, GPU-accelerated image processing, and Fourier ptychography microscopy. He has contributed to advancements in real-time 3D gesture capture, malaria diagnosis using CNNs, and virtual telepresence systems. Key areas of expertise include real-time monocular vision systems, medical imaging applications, and hardware acceleration frameworks like GpuCV. He has edited conference proceedings for IHCI (Intelligent Human Computer Interaction) and authored over 50 peer-reviewed publications since 1984. His work spans 30+ years, with notable contributions in gesture recognition, virtual reality interaction, and multimodal human-computer interfaces. Current research emphasizes biomedical imaging techniques and neural network applications in microscopy.

Uwe Kloosمشاهده پروفایل

استاد

• Computer Graphics
• Data Visualization
• Virtual Reality (VR)
• +۳ مورد دیگر

Prof. Uwe Kloos is a faculty member in the Department of Media Informatics at Reutlingen University, specializing in Computer Graphics and Visualization. He holds the rank of Professor and leads roles including Chair of the Examination Board for the Human-Centered Computing program and Dean of Studies for the same program. His teaching focuses on Computer Graphics, Visualization, and Data Science. Research activities center around VRlab, exploring VR/XR technologies and applications in collaborative virtual environments, digital human models, and group simulations. Kloos has a PhD in Computer Science from the University of Tübingen and prior industry experience at Hewlett-Packard and ILITS GmbH. His lab work includes projects like the Virtual Reality Gravity Offload System (ViRGOS) and interactive tools for automotive product development. He contributes to academic conferences such as Informatics Inside and publishes on visualization, VR, and AR applications. His research spans navigation systems, Formula 1 analytics, and collaborative mobile AR games. Education: PhD in Computer Science (University of Tübingen, 1994), Diplom in Biology (Universities of Saarbrücken and Tübingen, 1989). Research Labs: VRlab, AIDA AI Lab, Cloud Lab. Key Projects: IDEA creativity tool, PasVis public transport visualization, ViRGOS gravity simulation.

Yi King Choiمشاهده پروفایل

مدرس ارشد

• Medical visualization
• Geometric computing
• Computer graphics
• +۳ مورد دیگر

Dr. Yi-King Choi is a Senior Lecturer and Master Programme Associate Director at the School of Computing and Data Science (CDS), University of Hong Kong. She holds BSc, MPhil, and PhD degrees in Computer Science from HKU. Her research focuses on geometric computing, computer graphics, and medical visualization with notable contributions to collision detection algorithms for ellipsoids and quadric models. She leads the WATERMAN project developing water quality management systems and has received awards including the Li Ka Shing Prize for Best PhD Thesis (2009). Education BSc (First Class Honors), University of Hong Kong (1996) MPhil, University of Hong Kong (2000) PhD, University of Hong Kong (2008) Research Interests Geometric computing with emphasis on quadric surfaces and collision detection Medical visualization applications Computer graphics algorithms for real-time systems Awards Best Tutor Award (2005) Li Ka Shing Prize for Best PhD Thesis (2009) Her publications emphasize computational geometry solutions for complex geometric problems, with recent work advancing collision detection methodologies in robotics and computer-aided design contexts. Collaborative projects include the HKU Computer Graphics Group's work on quadric surface intersections and parametric modeling.

• 3D Modeling
• Digital Sculpting
• Photogrammetry
• +۵ مورد دیگر

Glyn Hadley is a Senior Lecturer in Creative Technology at Bournemouth University, affiliated with the School of Design, Engineering and Computing. His work bridges computational methods with applications in archaeology, heritage preservation, and biomedical engineering. PhD in Fibre Optic Blood Glucose Sensing MSc in Scientific Instrumentation BSc in Physics Research interests focus on photogrammetry/laser scanning for heritage projects, machine learning image analysis using MATLAB/OpenCV/CUDA, and medical sensor development. Formerly taught computer networks, software programming, and AI for games. Recent publications highlight his work in virtual heritage reconstruction, VR rehabilitation systems, and sensor technology. Active in developing educational curricula including postgraduate courses. Awards: Senior Fellow of the Higher Education Academy (2018–present) Teaching expertise spans 3D modeling (Maya/ZBrush), digital sculpting, and biomedical instrumentation. Holds affiliations with the Higher Education Academy and Institution of Engineering and Technology.

• Computer Graphics
• Computational Geometry
• Volume Rendering
• +۳ مورد دیگر

Mathieu Sanchez is affiliated with Bournemouth University within the Faculty of Media and Communication . He holds a PhD in Distance Based Heterogeneous Volume Modelling, completed in 2015, and contributes to research in computer graphics, computational geometry, and assistive technologies.

• 2D-3D Concept Design
• World Building
• Mechanical Design
• +۴ مورد دیگر

Darren Quach is an Adjunct Professor at Art Center College of Design, affiliated with the Entertainment Arts program. He is a professional concept designer with over 20 years of experience in the video game and film industries, working with clients such as Marvel Studios, Insomniac Games, Sony, and Blur Studio. His research and creative interests include 2D-3D concept design, world building, and mechanical design, with a focus on science fiction and immersive visual storytelling. His work bridges artistic innovation with technical precision in digital media. The recent publications highlight his contributions to major franchises like Ratchet and Clank and Resistance , as well as features in art books such as Sketching from the Imagination: Sci-Fi . These works reflect expertise in character, environment, and mechanical design, primarily within the realms of game art and visual development. Darren has also taught at institutions including Concept Design Academy and Art Center College of Design, contributing to the next generation of concept artists. He continues to be an active instructor and creative professional. Contact: dquach@ccsdetroit.edu

• Reinforcement Learning
• Artificial Intelligence
• Computer Vision
• +۶ مورد دیگر

C. H. T. Child is an Associate Professor in the Department of Computer Science at City, University of London, with a distinguished research career spanning over two decades. The academic maintains an active research profile with publications extending through 2025, demonstrating continued scholarly contributions across multiple domains of computer science and artificial intelligence. Child's primary research interests center around Reinforcement Learning , Artificial Intelligence , and Computer Vision , with specialized expertise in non-Euclidean geometry applications for gaming environments, medical informatics, and human-computer interaction. The research portfolio reveals a consistent trajectory from foundational work in reinforcement learning algorithms to applied research in game AI, medical informatics, and scene representation learning. A notable research thread involves the application of non-Euclidean geometry to create novel gaming experiences, while another significant strand focuses on developing advanced AI systems for non-player characters with personality modeling capabilities. Analysis of the most recent publications (2019-2025) shows an evolution toward more sophisticated deep learning architectures applied to complex problems in medical informatics and scene representation. The work has increasingly incorporated transformer networks, attention mechanisms, and advanced feature extraction techniques, reflecting broader trends in the field while maintaining the researcher's distinctive focus on reinforcement learning fundamentals. The publication record demonstrates successful translation of theoretical AI concepts into practical applications across gaming, healthcare, and computer vision domains. Child has supervised multiple doctoral students and research collaborators, with several co-authors appearing consistently across publications as first authors on significant works. The research has been supported through university resources and likely external funding, though specific grant details are not provided in the available materials. The academic maintains an active presence in both theoretical and applied research communities, with publications spanning top conferences and journals in computer science and AI. The researcher leads work in the Extreme AI Personality Engine project and contributes to computer vision research with applications in hand pose estimation and medical imaging. These research streams are well-integrated, with reinforcement learning principles providing a unifying theoretical framework across diverse application domains.

Olivier Simoninمشاهده پروفایل

استاد

• Artificial Intelligence
• Decision-Making
• Reinforcement Learning
• +۶ مورد دیگر

Olivier Simonin is a Professor in Computer Science at INSA de Lyon , leading the Inria team CHROMA (co-located at Inria Lyon & Grenoble) and affiliated with the CITI Laboratory . His research sits at the intersection of Artificial Intelligence and Robotics , focusing on decentralized decision-making, swarm robotics, and autonomous vehicle networks. Current projects include ANR "VORTEX" (2023-2028) on vision-based drone swarms and ANR/BPI "SOLARNav" (2024-2027) on social navigation for autonomous vehicles. He serves as Senior Editor for IROS 2023-2025 and is a member of the scientific committee for the national PEPR Organic Robotics (2023-2030). His work spans multi-robot exploration, swarm intelligence, and networked systems, with applications in service robotics and UAV deployments. Recent publications emphasize distributed algorithms, cooperative navigation, and co-simulation frameworks. Notable awards include the INSA Lyon Medal (2022) for RoboCup achievements and a Best Paper Award at JFSMA 2024 . He has supervised 18 PhD students, including 3 ongoing, and contributes to European projects like BugWright2 and NINSAR .

Damon Daylamani-Zadمشاهده پروفایل

مدرس ارشد

• Applications of AI in Games and Digital Media
• Machine Learning & Evolutionary Algorithms
• Serious Games and Gamification
• +۴ مورد دیگر

Dr Damon Daylamani-Zad serves as a Senior Lecturer in Creative Computing (AI and Games) within the Digital Media Department at Brunel Design School, part of Brunel University London's College of Engineering, Design and Physical Sciences. He holds a PhD in Multimedia Computing from Brunel University and is a Fellow of both the British Computer Society (FBCS) and Higher Education Academy (FHEA). His research spans Applications of AI in Games and Digital Media , focusing on Machine Learning for automated music generation, Serious Games for accessibility and health interventions, and Extended Reality applications in cultural heritage and education. Key research themes include: Swarm intelligence for strategic game development Gamification for accessibility design Immersive training systems for behavioral change User modeling and personalization in digital environments His recent publications demonstrate strong trends in pedagogical AI agents (2025), immersive cycling safety training (2025), and intelligent game asset generation (2024), reflecting his dual focus on educational technology and practical health/safety applications through gaming frameworks. As Joint Director of the Laboratory of Immersive Virtual Environments (LIVE) and PG Courses Director, he leads significant research initiatives including EPSRC/AHRC-funded projects on heritage site decolonization through mixed reality and Bikeability Trust interventions for child cycling safety. His editorial roles include Springer-Nature's Scientific Reports and MDPI Multimedia. He actively supervises PhD candidates in AI applications for games, machine learning algorithms, accessibility design, and immersive technologies, maintaining strong industry connections through the London Unity User Group (3,000+ members) and Serious Games Association.

Alina Mironمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Medical Imaging
• Machine Learning
• +۷ مورد دیگر

Dr Alina Miron is a Senior Lecturer (Education) in the Department of Computer Science at Brunel University London, College of Engineering, Design and Physical Sciences. She is an active member of the Intelligent Data Analysis (IDA) group and specialises in computer vision, medical imaging, and AI-driven data science. Education PhD in Machine Learning (focus on Autonomous Vehicles) Research Interests Alina’s research spans the full pipeline of visual and sequential data understanding. In computer vision , she develops algorithms for real-time perception in autonomous systems and medical-image interpretation. In natural language processing , she explores generative AI for marketing analytics. She also maintains a strong portfolio in data science , leveraging large-scale, time-series datasets to drive actionable insights. Recent work includes generative virtual try-on systems, few-shot medical-image segmentation, and AI-enhanced rehabilitation-movement analysis. Scientific Awards No formal awards are explicitly listed in the provided materials. PhD Supervision & Grants Currently supervising doctoral projects on: Few-Shot Medical Segmentation Using Deep Learning AI-enhanced biological network modeller software Active collaborator with Prof Yongmin Li, Prof Xiaohui Liu, Dr Stasha Lauria, Dr Weibo Liu, and Prof Monomita Nandy. Labs & Teams Alina is embedded within the Intelligent Data Analysis (IDA) research group, a multidisciplinary collective advancing machine-learning solutions for health, engineering, and societal challenges.

• Robotics
• Artificial Intelligence
• Computer Vision
• +۶ مورد دیگر

Francisco Gómez Donoso is an Assistant Professor at the University of Alicante , affiliated with the Department of Computer Science and Artificial Intelligence and the Institute of Computer Research (IU Informática) . He serves as Deputy Director of the Institute of Computer Research since September 2024. His research focuses on Robotics, Artificial Intelligence, and Human-Robot Interaction , with applications in assistive technologies, emotion recognition, and augmented reality. PhD in Computer Science (Doctoral School, 2020) Degree in Computer Engineering (University of Alicante, 2015) Research interests include: Development of multimodal robotic assistants for emotion recognition Photorealistic augmented reality landscapes and holographic classroom integration Deformable object manipulation in robotics Assistive technologies for visually impaired individuals and elderly care Computer vision and optical flow architectures for activity recognition AI-driven recycling solutions using multispectral imaging Key projects (public and transfer): Coordinated 10 transfer projects (2022–2025) with companies like CADEL Recycling Lab and CYPE Soft Collaborated on national research projects funded by the Ministry of Science and Valencian Government Teaching includes courses on Perception Systems, Artificial Vision, Robotics, and Discrete Mathematics at multiple engineering programs since 2013.

• Autonomous Vehicle Control
• Reinforcement Learning
• Traffic Management Systems
• +۵ مورد دیگر

Bécsi Tamás is an Associate Professor at the Department of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering, Budapest University of Technology and Economics. His academic career spans from PhD student (2002-2005) to Professor's Assistant (2005-2009), Senior Lecturer (2009-2014), and finally Associate Professor (2014-present). His research primarily focuses on autonomous vehicle control systems, reinforcement learning applications, and transportation automation across road, rail, and air domains. His research interests center on Autonomous Vehicle Control and Reinforcement Learning methodologies for transportation systems. Key areas include sensor fusion for automotive perception, motion planning algorithms, particle filtering techniques, and multi-agent traffic control systems. His work bridges theoretical control theory with practical implementations in vehicle mechatronics and transportation infrastructure. Analysis of his 15 most recent publications reveals a dominant focus on reinforcement learning applications (80% of works), particularly in autonomous driving (path planning, lane keeping) and traffic management (signal control, highway platooning). Recent trends show increasing integration of Rapidly-exploring Random Trees (RRT) with RL, particle filtering innovations for localization, and multi-object tracking advancements for automotive perception systems. His research maintains strong connections to real-world validation through field tests and industrial collaborations. His academic journey includes an MSc in Transportation Engineering (2002) and PhD (2008) from BUTE. Teaching responsibilities cover Computing Science I-II and Control Theory I-II courses, alongside specialized Erasmus programs in Intelligent Solutions in Transportation and Transportation Automation Research Techniques.