Rendering Algorithms Professors and Supervisors | ApplySharif

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 706-720 of 1,409 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Dieter SchmalstiegView profile

Professor

University of StuttgartGermany

Dieter Schmalstieg is the Alexander von Humboldt Professor of Visual Computing at the University of Stuttgart's Faculty 5: Computer Science, Electrical Engineering and Information Technology, leading the Institute for Visualization and Interactive Systems (VIS). He also holds an adjunct professorship at Graz University of Technology's Institute of Computer Graphics and Vision. His research focuses on augmented reality (AR), virtual reality (VR), computer graphics, visualization, and human-computer interaction. He earned his Dipl.-Ing. (1993), Dr. techn. (1997), and Habilitation (2001) from Vienna University of Technology. He has authored/co-authored over 400 peer-reviewed publications, with over 29,000 citations and numerous awards, including the IEEE ISMAR Career Impact Award (2020) and the IEEE Virtual Reality Technical Achievement Award (2012). His professional roles include editorial leadership in top journals like IEEE Transactions on Visualization and Computer Graphics, and steering committee memberships in major conferences like IEEE ISMAR. Research interests span AR/VR applications, situated visualization, coherent rendering, spatial interaction, and medical visualization. Notable projects include the Christian Doppler Laboratory for Handheld Augmented Reality (2008–2015), and collaborations with industry partners like Qualcomm and VRVis. He has advised over 50 PhD students, many now professors or researchers globally. Grants include the Alexander von Humboldt Professorship (2023), SNAP Mixed Reality Lab funding, and EU projects like MiReBooks (mining education). His work bridges theory and application, with impactful contributions to AR/VR systems, medical visualization tools, and GPU techniques for real-time rendering.

Official University Profile

Jian HuangView profile

Professor

University of TennesseeUnited States

Jian Huang is a Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He is the Director of Seelab and a Co-Founder & CEO of Survature. He earned his Ph.D. in Computer Science from Ohio State University and has been on the faculty since 2001, advancing from Assistant Professor (2001) to Associate Professor (2007) and Full Professor (2013). His research focuses on data analytics and visualization, particularly in delivering large-scale visualizations to thin clients like mobile devices and Hololens. Notable projects include the Tapestry microservices framework for scientific visualization, the GSM Species Mapper for biodiversity analysis, and student flow modeling to improve academic advising. His work has been funded by NSF, DOE, NASA, and industry partners. Huang teaches courses such as Systems Programming (CS360), Computer Graphics (CS452), and Operating Systems (CS361). He has contributed to professional service roles, including program committees for IEEE Visualization Conference and editorial roles in journals like Journal of Computer Science and Technology . His awards include the Best Paper Award at IEEE LDAV'17 for the Tapestry project. Research outputs span visualization frameworks, data science applications, and immersive analytics, with a focus on scalability and accessibility across diverse domains.

Official University Profile

Frédéric LarueView profile

Researcher

University of StrasbourgFrance

Frédéric Larue is a research engineer specializing in 3D scanning and computer graphics. He holds a PhD in Computer Science from the University of Strasbourg (2008) and has worked at ICube Lab (University of Strasbourg) from 2011 to 2020. Previously, he conducted postdoctoral research at CNR ISTI (Italy) and Fraunhofer IAIS (Germany). His expertise spans geometry processing, appearance reconstruction, and virtual reality. Education : PhD in Computer Science, University of Strasbourg, 2004–2008 Research Interests : 3D scanning technologies Cultural heritage digitization Geometry and appearance processing Real-time rendering and texture synthesis Light field acquisition Virtual reality applications Publications : Focus on 3D digitization pipelines, texture synthesis algorithms, and light field rendering techniques. Key contributions include the ExRealis software for 3D data processing and light field regularization methods. Labs/Teams : ICube Lab (University of Strasbourg), part of the Computer Graphics & Geometry group.

Official University Profile

Yvonne CoadyView profile

Professor

University of VictoriaCanada

Yvonne Coady is a Professor in the Department of Computer Science at the University of Victoria. She leads the MOD(ularity) Squad, focusing on system infrastructure modularity, mixed reality systems, and geospatial computing. Her research spans scalable distributed systems, immersive technologies, and AI-driven applications. She has co-authored over 170 papers and supervised numerous graduate students. Research interests include citizen science integration, advanced software modularity, and cloud computing architectures. Collaborations include projects with IBM, Ericsson, and Urthecast, addressing Earth observation, urban planning, and virtual reality analytics. Recognized with the 2015 Knowledge Mobilization Award, her work emphasizes real-world impact through industry partnerships. Current projects explore immersive applications via VR/AR, such as the RAVR and SAVR initiatives, and accessibility-enhanced interfaces. She also investigates geospatial computing for environmental monitoring and disaster response. Awards and grants include NSERC Collaborative Research and Mitacs Accelerate funding. Grants: NSERC grants (2023-2024), Mitacs projects (2020-2024) Labs/Teams: MOD(ularity) Squad, RAVR (Research in Augmented and Virtual Reality) Key Collaborations: Ocean Networks Canada, SALA Lab (UBC)

Official University Profile

Brian McClendonView profile

Research Professor

University of KansasUnited States

Brian McClendon is a Research Professor at the University of Kansas School of Engineering's Department of Electrical Engineering and Computer Science. Previously, he served as Vice President at Google, leading the Geo business unit responsible for Google Maps, Street View, and Google Earth. His work earned him the United Nations 'Champions of the Earth' award in 2013 and induction into the National Academy of Engineering in 2015. He holds an honorary doctorate in electrical engineering from KU and has over 30 patents. His research focuses on democratizing machine learning, computer vision, autonomous vehicles, and next-generation mapping technologies. Key areas include intelligent geographic information systems, autonomous vehicle navigation, and privacy-preserving geolocation solutions. His work bridges academia and industry, emphasizing scalable, user-centric systems. Notable contributions include innovations in distributed GIS architecture, encryption for transport systems, and methods for image-based location determination. His patents and publications reflect expertise in geospatial data management, sensor integration, and cybersecurity in transportation. Awards : UN Champions of the Earth (2013) National Academy of Engineering Member (2015) Honorary Doctorate in EE (KU, 2015) Grants/Political Activity : Ran for Kansas Secretary of State (2018, Democratic ticket) His lab collaborations emphasize real-world applications of mapping technology, including disaster zone mapping and indoor navigation systems. Current projects explore AI-driven mapping and ethical geospatial data practices.

Official University Profile

Tiberiu PopaView profile

Associate Professor

Concordia UniversityCanada

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.

Official University Profile

David SinclairView profile

Associate Professor

Dublin City UniversityIreland

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.

Official University Profile

Junsong YuanView profile

Professor

State University of New York at BuffaloUnited States

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.

Official University Profile

Martin WinterView profile

Professor

University of MünsterGermany

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.

Official University Profile

Richard MembarthView profile

Researcher

University of TrierGermany

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

Official University Profile

Nicolas C. PégardView profile

Assistant Professor

University of North Carolina at Chapel HillUnited States

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.

Official University Profile

Mashhuda GlencrossView profile

Associate Professor

University of QueenslandAustralia

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.

Official University Profile

Victor Adrian PrisacariuView profile

Associate Professor

University of OxfordUnited Kingdom

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.

Official University Profile

Tapio LokkiView profile

Professor

Aalto UniversityFinland

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.

Official University Profile

Erin Chao LingView profile

Senior Lecturer

University of SurreyUnited Kingdom

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.

Official University Profile