جست‌وجوی استاد و پژوهشگر

Tiberiu Popaمشاهده پروفایل

دانشیار

• Computer Graphics
• 3D Modeling
• 3D/4D Acquisition
• +۴ مورد دیگر

Tiberiu Popa is an Associate Professor in the Department of Computer Science and Software Engineering at Concordia University since 2013. Previously, he was a Senior Researcher at ETH Zurich's computer graphics lab and earned his PhD from the University of British Columbia. Education: PhD in Computer Science from University of British Columbia His research focuses on geometric modeling and optimization, 3D/4D acquisition, performance capture, physics simulation, and machine learning applications. He emphasizes user-centric tools for creative modeling, 3D reconstruction techniques, and integration of physical properties in design workflows. His courses include Geometric Modeling, Computer Animation, and Computer Graphics, structured as a five-chapter narrative linking theory to real-world applications. Popa’s work spans computational design, medical modeling, and interactive systems like MARIN, an open-source mobile augmented reality platform. He actively mentors students and collaborates on projects such as cloth modeling for manufacturing and architecture optimization.

David Sinclairمشاهده پروفایل

دانشیار

• Formal Methods
• Distributed Systems
• Real-time Systems
• +۲ مورد دیگر

Dr. David Sinclair is an Associate Professor and Year Head in the School of Computing at Dublin City University, affiliated with the Dependable Systems, Software Engineering, and Security research groups. His research spans formal methods, distributed systems, real-time systems, and AI applications in strategic games. Teaching responsibilities include foundational and advanced courses: CSC1018 Logic CSC1048 Computability & Complexity CSC1098 Compiler Construction CSC1141 Concurrent Programming CSC1049 Third Year Project supervision His publications demonstrate strong focus on real-time systems, motion prediction, and immersive technologies, with recent work exploring AI-driven virtual environments and light field processing. Research consistently addresses computational efficiency and formal verification challenges.

Junsong Yuanمشاهده پروفایل

استاد

• Computer Vision
• Pattern Recognition
• Video Analytics
• +۶ مورد دیگر

Junsong Yuan is a Professor and Director of the Visual Computing Lab at the Department of Computer Science and Engineering, University at Buffalo (SUNY). He previously served as an Associate Professor and Nanyang Assistant Professor at Nanyang Technological University (NTU), Singapore. His research focuses on computer vision, pattern recognition, video analytics, and large-scale visual search. He holds a Ph.D. from Northwestern University, M.Eng. from National University of Singapore, and B.Eng. from Huazhong University of Science and Technology. Education : Ph.D., Electrical and Computer Engineering, Northwestern University, 2009 M.Eng., Electrical and Computer Engineering, National University of Singapore, 2005 B.Eng., Communication Engineering, Huazhong University of Science and Technology, 2002 Research Interests : Dr. Yuan's work spans computer vision, video analytics, gesture/action analysis, and multimodal learning. He emphasizes scalable visual search, 3D reconstruction, and federated learning for medical imaging. His lab develops algorithms for autonomous systems, generative media processing, and human-AI interaction. Awards : IEEE Fellow (2021) IAPR Fellow (2018) SUNY Chancellor's Award for Excellence in Scholarship (2022) Advising & Grants : He has advised numerous PhD students, including Sudhir Yarram, Nan Xi, and Tianyu Luan. His research is supported by grants focusing on video generation, medical image analysis, and federated learning. He serves as Editor-in-Chief of JVCI and on editorial boards of T-PAMI, T-IP, and T-CSVT. Labs & Teams : Director of the Visual Computing Lab, leading projects in generative models, 3D scene understanding, and healthcare AI. Collaborates with industry partners like Meta, Amazon, and Accenture on applied vision systems.

Martin Winterمشاهده پروفایل

استاد

• Electrochemistry
• Energy Storage
• Battery Technology
• +۳ مورد دیگر

Prof. Dr. Martin Winter is the Scientific Director of the MEET - Münster Electrochemical Energy Technology at the University of Münster, affiliated with the Faculty of Chemistry and Pharmacy and the Institute of Physical Chemistry. His research focuses on electrochemical energy storage systems, particularly lithium-ion batteries, solid-state batteries, and advanced battery materials. He leads interdisciplinary projects on battery safety, electrolyte design, and recycling technologies. Winter holds honorary doctorates (h.c.) from multiple institutions, reflecting his contributions to electrochemical energy research. His work spans experimental and analytical methods, including operando measurements, spectroscopy, and material characterization. Key research areas include SEI formation mechanisms, high-voltage battery optimization, and sustainable battery production. Recent articles highlight advancements in lithium plating detection, polysulfide distribution analysis in Li-S batteries, and thermal safety improvements in lithium metal batteries. Winter collaborates with institutions like the Helmholtz Institute Münster and Fraunhofer Research Institution for Battery Cell Production FFB, driving innovation in battery technology and industrial applications.

Richard Membarthمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• Domain-Specific Compilers
• GPU Acceleration
• +۴ مورد دیگر

Richard Membarth is an academic researcher at the Friedrich-Alexander-Universität Erlangen-Nürnberg, Department of Computer Science. His work focuses on high-performance computing, domain-specific compilers, and GPU acceleration. He has contributed to projects like FLOWER (dataflow compiler), Hipacc (image processing DSL), and XEngine (neural network optimization). Membarth's research bridges compiler design, parallel algorithms, and heterogeneous hardware, with applications in medical imaging, bioinformatics, and autonomous systems. Co-developer of AnyDSL framework for partial evaluation Lead in GPU acceleration for molecular dynamics (tinyMD) Specialized in compiler techniques for FPGAs and GPUs Key areas include: - Domain-specific languages (DSLs) - Parallel algorithm optimization - Medical computing pipelines - Real-time graphics rendering

Nicolas C. Pégardمشاهده پروفایل

استادیار

• Computational Optics
• Neuroscience
• Biophotonics
• +۲ مورد دیگر

Nicolas C. Pégard is an Assistant Professor at the University of North Carolina at Chapel Hill, jointly affiliated with the School of Medicine's Biomedical Engineering department and the Applied Physical Sciences program. He directs the Computational Biophotonics Laboratory, which develops advanced optical instrumentation for neuroscience and medical applications. His research integrates physics, engineering, and computer science to create novel optical tools for interrogating biological systems. Key interests include computational microscopy, holography, machine learning approaches to neural imaging, optogenetics, and high-speed optical systems for monitoring neural activity. The lab focuses on task-based optical systems rather than traditional imaging. Dr. Pégard's publications demonstrate a consistent focus on advancing optical techniques for neuroscience. Recent work (2023-2025) shows strong trends in developing holographic methods, compressive imaging techniques, and integrated systems for multimodal neural recording. His team frequently publishes on applications of deep learning to optical problems and creates open-source tools for the research community. Sloan Fellowship in Neurosciences (2023) Kavli Innovation Grant (2022) Beckman Young Investigator Award (2021) Burroughs Wellcome Career Award (2018) The lab actively trains PhD students in interdisciplinary research, with recent graduates including Dr. Hossein Eybposh. Current projects explore holographic optogenetics, voltage imaging, and integrated systems for behavioral neuroscience. The group maintains collaborations with Janelia Research Campus and receives funding from NSF, NIH, and private foundations for developing next-generation neurotechnology platforms.

Mashhuda Glencrossمشاهده پروفایل

دانشیار

• Computer Graphics
• Human-Computer Interaction
• Virtual and Augmented Reality
• +۶ مورد دیگر

Associate Professor Mashhuda Glencross is Deputy Associate Dean Academic (Students) in the Faculty of Engineering, Architecture and Information Technology (EAIT) at The University of Queensland (UQ). She holds a PhD in Computer Science from The University of Manchester. Her research focuses on computer graphics, human-computer interaction, and their applications to real-world challenges in renewable energy, health, and disaster resilience. She leads projects on visualisation technologies for decision-making during natural disasters and smart grid systems. Education: BSc (Hons) Polymer Science & Engineering, MSc Computer Science, PhD Computer Science (University of Manchester) Industry Experience: Former Technical Product Manager at ARM Ltd, Co-founder of two UK tech startups, Research Director at Pismo Software (VR interior design), and Director of Research at a smart heating company. Her work spans virtual reality (VR) , augmented reality (AR) , and cybersecurity for mixed-reality systems . Recent projects include developing AI tools for education assessment and grid health visualization platforms. She is a Senior Member of the ACM and serves on editorial boards for Computers & Graphics and ACM PACM journals . Awards include the GRSI Best Paper Award 2021 and recognition for contributions to ACM's Europe Council Best Paper Awards . Her research has commercial impact in gaming, visual effects, and mobile technologies. Current initiatives include the Centre for Energy Data Innovation and supervision of students in energy systems and HCI. She advocates for inclusive technology design and resilience engineering.

• Computer Vision
• 3D Reconstruction
• SLAM
• +۵ مورد دیگر

Victor Adrian Prisacariu is an Associate Professor of Engineering Science at the University of Oxford. He holds a BSc from Gheorghe Asachi Technical University, Iasi, Romania, and a DPhil from Oxford. Previously, he served as an EPSRC Postdoctoral Researcher and Dyson Senior Research Fellow. His current research focuses on real-time computer vision techniques for AR/VR on mobile platforms, with emphasis on semantic visual tracking, 3D reconstruction, and SLAM. He co-founded 6D.ai (acquired by Niantic), developing crowdsourced 3D mapping technologies. He leads the Active Vision Lab, which explores computational vision applications in robotics, wearable computing, and navigation. His work bridges academia and industry, emphasizing scalable solutions for real-world AR/VR challenges. Education : BSc (First Class Honors) in Computer Engineering, Gheorghe Asachi Technical University (2008) DPhil in Engineering Science, University of Oxford (2012) Research Interests : AR/VR system optimization for mobile and wearable devices Real-time 3D reconstruction and semantic mapping SLAM algorithms for navigation and localization Computer vision techniques for scene understanding and object tracking Industry-academia collaboration in AR/VR technologies Key Projects : Active Vision Lab Code Repository (AVLCode) 6D.ai SDK (Niantic's real-time 3D semantic mapping) Development of Gaussian splatting techniques for efficient 3D rendering Awards & Recognition : Contributions acknowledged in CVPR 2025 Best Paper Award (group recognition) Lab & Teams : The Active Vision Lab collaborates on projects like 3D reconstruction, visual localization, and AR system development. His work integrates academic rigor with industry-driven applications through partnerships like Niantic.

Tapio Lokkiمشاهده پروفایل

استاد

• Acoustics
• Audio Engineering
• Room Acoustics
• +۵ مورد دیگر

Professor Tapio Lokki is a renowned academic in acoustics and audio engineering at Aalto University's School of Electrical Engineering, Department of Signal Processing and Acoustics. He transitioned from the School of Science's Department of Computer Science to streamline teaching and research in acoustics. His work focuses on concert hall acoustics, spatial sound reproduction, binaural technology, and augmented reality audio. Key projects include developing measurement techniques for concert halls and sensory evaluation methods. He holds the title of Honorary Member of the Acoustical Society of Finland and is a Fellow of the Audio Engineering Society. Research interests include room acoustics modeling, perceptual differences in concert halls, and hearing protection devices. His contributions span psychoacoustic studies, material science for sound absorption, and virtual acoustic environments. He leads the Aalto Acoustics Lab, advancing interdisciplinary applications in audio engineering and environmental acoustics.

Erin Chao Lingمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Human-AI Interaction
• Future of Work
• +۵ مورد دیگر

Dr Erin Chao Ling serves as a Senior Lecturer in Artificial Intelligence and the Future of Work at the University of Surrey, holding a joint appointment between the Surrey Institute for People-Centred Artificial Intelligence (PAI) and Surrey Hospitality and Tourism Management within the Faculty of Arts, Business and Social Sciences. Her work bridges AI technology with human-centered applications across hospitality, tourism, and workforce development sectors. Education: PhD in Tourism and Hospitality Management (2018-2021), University of Surrey MSc in Management (2016-2017), University of Bristol Dr Ling's research focuses on the societal implications of AI, particularly examining human-AI collaboration in digital marketing, AI skills development, service robot adoption, and generative AI's impact on work behavior. Her work emphasizes ethical considerations and responsible AI implementation to enhance human wellbeing. She has pioneered studies on AI assistants for travel, developing validated scales for measuring perceived intelligence in conversational agents. Her publication portfolio demonstrates consistent output in high-impact journals covering AI adoption drivers, human-robot interaction, and workforce transformation. Key trends include interdisciplinary work connecting computer vision with hospitality applications, ethical AI frameworks for international contexts, and consumer behavior analysis in AI-assisted service environments. Scientific Recognition: Best Paper Award in Hospitality Management at CHME 2022 Conference IFITT Journal Paper of the Year Award As an active supervisor, Dr Ling leads multiple PhD projects examining AI applications in aging populations, hotel revenue management, and tourism marketing. She provides consultancy to government bodies including the UK Foreign Commonwealth and Development Office on AI policy and ethical regulation. Her media presence includes features in The Guardian, FORTUNE, and Yahoo Finance, where she discusses AI's societal impacts. Dr Ling also contributes to policy discussions through All-Party Parliamentary Group meetings on Youth Affairs and AI. She directs research initiatives including the ESRC-funded 'GenAI for International College Students Mental Health & Wellbeing' project and leads the 'Advancing AI Agenda in Thailand' consultancy for the British Embassy Bangkok, establishing herself as a key bridge between academic research, industry implementation, and policy development in responsible AI adoption.

Jean-Yves Guillemautمشاهده پروفایل

مدرس ارشد

• 3D Computer Vision
• 3D Reconstruction
• Computational Photography
• +۴ مورد دیگر

Dr. Jean-Yves Guillemaut is a Senior Lecturer in 3D Computer Vision and Postgraduate Research Director at the Centre for Vision, Speech and Signal Processing (CVSSP) within the School of Computer Science and Electronic Engineering at the University of Surrey. His research focuses on 3D reconstruction of complex dynamic scenes, particularly addressing challenges with glossy materials and uncontrolled outdoor environments. He collaborates with industry to apply his work in AR/VR, immersive content production, and free-viewpoint video. Education: He holds an MEng (hons), PhD, and is a member of professional bodies including MIEEE, MBMVA, and FHEA. His technical expertise spans computational photography, lightfield imaging, and artificial intelligence. Current PhD students: Matthew Bailey, Yue Zhang, Gianmarco Addari Laboratory affiliations: CVSSP Research interests include scene modeling from multi-view video, dynamic scene reconstruction, and applications in creative industries. Recent projects involve developing algorithms for illumination estimation, pedestrian tracking, and neural rendering. Grants and collaborations are centered on industry partnerships enhancing creative technology sectors. Future work aims to expand outdoor scene modeling and AI-driven medical imaging applications.

• Robotics
• Algorithmic Automation
• Simulation
• +۳ مورد دیگر

Prof. AF (Frank) van der Stappen is a Professor of Robotics and Automation at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. He also holds a position at University College Roosevelt. His research focuses on robotics (grasping, manipulation, motion), algorithmic automation, simulation, computational geometry, and computer animation. He has been an IEEE Fellow since 2017. His work emphasizes geometric computing and its applications in automation, with contributions to form-closure grasping, path planning, and virtual character animation. Education: PhD in Motion Planning from Utrecht University (1994), MSc in Distributed Data Structures from Eindhoven University of Technology (1988). Research Interests: Robotics (manipulation/grasping), algorithmic automation, geometric algorithms, computer animation, and crowd simulation. His work bridges theoretical foundations with practical applications in manufacturing, virtual environments, and agricultural robotics. Awards: IEEE Fellow (2017). Advisees/Grants: No explicitly listed students, but extensive collaborative work with researchers like Elon Rimon, Ken Goldberg, and Mark Overmars. His research includes grants related to motion planning, caging, and automation. Labs/Teams: Involved in geometric computing and robotics teams at Utrecht University, contributing to Game Research themes and interdisciplinary projects.

Miles Hansardمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Robotics
• 3D Displays
• +۷ مورد دیگر

Miles Hansard is a Senior Lecturer in the School of Electronic Engineering & Computer Science at Queen Mary, University of London. He is affiliated with the Vision Group and the ARQ Centre for Advanced Robotics. His research focuses on computer vision, robotics, and 3D imaging technologies, including depth cameras, binocular vision, and scene reconstruction. He has contributed to projects like the GRIP Software Framework for robotics integration and Gaussian Process models for UAV localization. His work spans medical imaging applications, such as analyzing eye movements after vision loss, and explores discomfort factors in stereoscopic displays. Hansard has published extensively in journals like IEEE Transactions and the Royal Society Proceedings, and his research often addresses sensor fusion, calibration, and computational photography. He holds a primary email address at miles.hansard@qmul.ac.uk.

Sai Qian Zhangمشاهده پروفایل

استادیار

• Efficient AI Algorithm
• AR/VR Computing
• Neural Network Accelerator Design
• +۲ مورد دیگر

Sai Qian Zhang is an Assistant Professor at New York University, holding dual appointments in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering and the Computer Science Department at the Courant Institute of Mathematical Sciences. He earned his Ph.D. from Harvard University in 2021 and completed his B.A.Sc and M.A.Sc at the University of Toronto. Previously, he worked as a Senior Research Scientist at Meta Reality Labs (2022–2024). His research focuses on algorithm and hardware co-design for efficient deep neural network implementation, with a particular emphasis on AR/VR computing. Key areas include neural network accelerator design, efficient AI algorithms, and privacy-preserving techniques for AR/VR systems. He leads the System & Artificial Intelligence (SAI) Lab, which explores intersections between deep learning and hardware systems to optimize AI performance and resource efficiency. Recent research highlights include papers on gaze-tracked foveated rendering, speculative decoding strategies, and parameter-efficient fine-tuning for large models. He has advised numerous students, including recipients of prestigious awards such as the DAC Young Fellow and ECE Myron M. Rosenthal Award. Zhang teaches courses like Efficient AI and Hardware Accelerator Design (Spring 2025), emphasizing model compression, quantization, and accelerator architectures. His work has been recognized through grants and collaborations with industry partners like Meta and Andes Technology.

Usman Alimمشاهده پروفایل

دانشیار

• Computer Graphics
• Visualization Techniques
• Volume Rendering
• +۶ مورد دیگر

Usman Alim is an Associate Professor in the Department of Computer Science at the University of Calgary, and Director of the Data Science Program. He holds a dual Bachelor's in Mathematics and Physics from the University of Rochester (2001), an M.Sc. in Computer Science from Rochester Institute of Technology (2007), and a Ph.D. in Computer Science from Simon Fraser University (2012). His research focuses on global illumination, physically-based modeling, and signal processing applications in computer graphics and visualization. He is particularly noted for innovations in volume visualization, VR interfaces, and haptic systems. Key research areas include: Interactive visualization systems for multivariate data Uncertainty visualization in geological and medical datasets Efficient rendering techniques for large-scale datasets Low-code frameworks for data workflow automation Notable achievements include winning the 2019 IEEE SciVis Contest's Best Report Cover and multiple awards in Compute Canada's Visualize This contest. His work bridges theoretical foundations with practical applications in fields like environmental science, healthcare, and urban analytics. Current initiatives include advancing haptic interaction design, developing cloud-deployable medical imaging pipelines, and exploring AI-driven solutions for oil sands analysis. He teaches graduate courses like DATA 601 (Data Visualization) and special topics in computer science, contributing to both academic research and applied data science education.