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Arthur G RichardsView profile

Professor

• Trajectory Optimization
• Unmanned Aerial Vehicles (UAVs)
• Model Predictive Control
• +4 more

Arthur G Richards serves as Professor of Robotics and Control within the Dynamics and Control department at the University of Bristol's School of Engineering Mathematics and Technology. His research specializes in trajectory optimization for aerospace applications, focusing on UAV autonomy, spacecraft rendezvous, and air traffic management through advanced optimization techniques. His educational foundation includes an M.Eng. from the University of Cambridge and S.M./Ph.D. degrees from MIT. Research interests center on solving complex aerospace challenges through: Non-convex optimization for obstacle avoidance in cluttered environments Robust model predictive control for real-time disturbance compensation Distributed optimization enabling large-scale vehicle cooperation Scalable algorithms for high-traffic scenarios with minimal fuel consumption Analysis of his 132 research outputs reveals evolving emphasis on reliability-aware UAV path planning, interpretable reinforcement learning for aircraft control, and swarm robotics with real-world validation. Recent work increasingly integrates machine learning with traditional control theory while addressing practical constraints like sensor noise and system failures. Professor Richards has supervised 22 research students and secured funding for 11 projects, including the active Aerial Robotics for Search and Rescue (2022-2026) and PORTAL (2022-2024) initiatives. His industry collaborations with Thales and focus on technology transfer demonstrate strong academic-industrial integration. He actively contributes to the Smart Networks for Sustainable Futures and Robotics research groups, developing frameworks for multi-robot systems that balance theoretical rigor with practical deployment requirements in conservation, inspection, and exploration scenarios.

Sang Il ParkView profile

Professor

• Computer Graphics
• Character Animation
• 3D Geometry Processing
• +4 more

Sang Il Park is a Professor in the Department of Software at Sejong University, South Korea, where he has been a faculty member since 2007 following postdoctoral work at Carnegie Mellon University's Robotics Institute (2005-2007) and a brief research position at Japan's Digital Human Research Center. Ph.D. in Computer Science, KAIST (2004) M.S. in Computer Science, KAIST (1999) B.S. in Computer Science, Yonsei University (1997) Professor Park's research centers on Computer Graphics , with deep expertise in Character Animation , 3D Geometry Processing , and Image Processing . His research fingerprint shows dominant activity in Motion Capture (100%), Transition Graphs (72%), and Motion Synthesis (72%). His work has evolved from foundational research in human motion capture to incorporating deep learning techniques for image restoration, demonstrating both consistency in core interests and adaptation to emerging technologies. His publication pattern reveals a sustained research program with significant outputs in 2008, 2010, 2014, 2018, and continuing through 2023. The research spans from character animation and motion synthesis to practical applications like document processing and weathering simulation, showing remarkable breadth within his specialized domain. h-index: 12 Total citations: 933 Presented pioneering research at ACM SIGGRAPH Referenced in 4 patents and 2 Wikipedia pages Professor Park leads the Computer Graphics Lab at Sejong University, where he mentors graduate students and conducts research in animation, modeling, rendering, and computational photography. His patent portfolio includes innovations in facial expression restoration and motion synchronization, demonstrating the practical impact of his research beyond academia.

• Computer Graphics
• VR/AR/MR
• Physics-Based Animation
• +7 more

Oh-Young Song is a Professor in the Department of Software at Sejong University's Ocean Humanities College, where he has been a faculty member since 2006. He also serves as a Researcher at the eXtended Reality Research Center and directs the Sejong University Graphics Lab, which focuses on natural phenomena simulation and related applications in special effects and animation. Sejong University, Department of Software (2006-present) Adobe Systems, Visiting Professor (2013-2014) Seoul National University, Automation and Systems Research Institute (2004-2006) Song earned his educational credentials from Seoul National University: B.S. (1998), M.S. (2000), and Ph.D. (2004), all in Electrical Engineering and Computer Science. His research spans computer graphics, VR/AR/MR, physics-based animation, fluid simulation, and deep learning . His work bridges theoretical computer graphics with practical applications in healthcare, IoT, and special effects. Song has developed physics-based animation techniques used in movies and games, with particular expertise in fluid simulation where he holds a US patent for simulating detailed fluid movements using derivative particles. His recent research increasingly integrates AI and deep learning approaches with traditional computer graphics techniques. Analysis of his 15 most recent publications (2021-2024) reveals a strategic expansion of his research into healthcare applications, with significant work in medical image analysis, gastrointestinal disease detection, and secure patient data transmission. His research shows strong interdisciplinary collaboration, particularly between computer graphics and medical informatics, with consistent publication in high-impact journals across computer science and healthcare domains. Song's scholarly achievements include 49 research outputs with 1922 citations and an h-index of 20. His most notable scientific achievement is the US-patented technique for simulating detailed fluid movements using derivative particles, with related papers published in ACM Transactions on Graphics. US Patent for Method of Simulating detailed movements of fluids using derivative particles 49 research publications across computer graphics, VR/AR, and medical AI domains 1922 total citations with h-index of 20 As an educator, Song teaches courses including Advanced Computer Graphics, Algorithms and Practice, and Physics Coding for General Public. He advises graduate students through Master's thesis research and Graduation Research and Career courses. His lab, the Sejong University Graphics Lab, actively collaborates with industry on physics-based animation techniques for special effects and animation in movies and games. Current research directions indicate growing emphasis on integrating extended reality technologies with healthcare applications, particularly in medical simulation and diagnostic support systems.

• Physics-Based Animation
• Character Animation
• Computer Graphics
• +7 more

Professor Song Oh-young is affiliated with Sejong University as a faculty member in the Ocean Humanity College , Department of Software . He leads the Sejong University Graphics Lab , which focuses on physics-based animation for movies/games and natural phenomena simulation. PhD in Computer Science from Seoul National University (2004) Postdoctoral Fellow at Seoul National University (2004-2006) Current research spans Computer Graphics , Medical AI , IoT Security , and Deep Learning Applications in healthcare and agriculture. His recent publications (2023-2024) emphasize AR/VR for emergency training , medical imaging , and IoT optimization . The Graphics Lab actively collaborates with industry on special effects and simulation techniques. He has contributed to 3D graphics , chaotic encryption , and real-time fluid dynamics over two decades.

Gonzalo BesuievskyView profile

Associate Professor

• Computer graphics
• Global illumination
• Radiosity
• +4 more

Gonzalo Besuievsky is Associate Professor at the Department of Computer Science and Applied Mathematics of the University of Girona , Spain. He leads research on physically-based rendering and global illumination, with particular emphasis on Monte-Carlo methods and dynamic radiosity environments. Education: PhD in Computer Science, Universitat Politècnica de Catalunya , 2001 — Dissertation: "A Monte Carlo Approach for Animated Radiosity Environments" Research Interests: His work spans several inter-related domains: Global Illumination & Radiosity: developing algorithms for realistic light transport in synthetic scenes. Monte Carlo Techniques: adaptive and hierarchical sampling to accelerate rendering. Dynamic Environments: efficient update schemes for animated lighting and moving light sources. Daylighting Simulation: integrating sunlight models into architectural 3-D workflows. Motion Blur & Temporal Coherence: novel methods to render motion-blurred radiosity images. Publication Trends: Across his 1993–2006 publications, a clear evolution is visible from foundational stochastic ray-tracing work toward sophisticated Monte-Carlo radiosity frameworks that handle dynamic lighting, daylighting, and frame-to-frame coherence for animations. Labs & Groups: He is affiliated with the Girona Graphics Group , a research team devoted to advanced graphics and visualization technologies.

• Additive Manufacturing
• CAD/CAM
• Computational Geometry
• +3 more

Ulaş Yaman is an Associate Professor in the Department of Mechanical Engineering at Middle East Technical University (METU) in Ankara, Turkey. He received his B.Sc. in Mechanical Engineering (2007), M.Sc. in Mechanical Engineering (2010), and Ph.D. in Mechanical Engineering (2014) from METU, with a minor in Mechatronics. His academic career includes roles as a Visiting Assistant Professor at Purdue University (2014-2015) and research positions at METU. His research specializes in additive manufacturing, CAD/CAM systems, computational geometry, and embedded control systems. Key areas include 3D printing optimization, FDM process enhancements, CNC command generation, and hybrid manufacturing technologies. Recent work explores Industry 4.0 integration, structural optimization for 3D-printed artifacts, and novel fabrication pipelines like LIPRO. Yaman's publications demonstrate strong focus on manufacturing innovations, with recurring themes in real-time command generation, material behavior in 3D printing, geometric algorithms for production, and educational tools for control engineering. His work frequently combines hardware implementation with computational efficiency. Scientific Awards: BEST PAPER AWARD - IEEE 8th Workshop on Intelligent Solutions in Embedded Systems (2010) Research Grants: TÜBİTAK 1001: A Smart- and Hybrid Manufacturing System Utilizing Additive Manufacturing Methods and Machining (2017-2020) TÜBİTAK 3001: A Novel Design and Fabrication Pipeline for 3D Printers: LIPRO (2017-2018) ODTÜ-BAP: Improving the Dimensional Accuracy of 3D Printed Artifacts (2016) He leads the Laboratory for Intelligent Production Systems (LIPRO) with six research assistants, focusing on additive manufacturing, computational geometry, and embedded systems. Current projects include developing multi-axis hybrid manufacturing systems and novel CAD/CAM architectures.

• Environmental Education
• Outdoor Education
• Science Education
• +2 more

Sandra McEwan is a Sessional Lecturer in the Department of Curriculum, Teaching & Learning at the Ontario Institute for Studies in Education (OISE), University of Toronto, where she teaches Elementary Science and Environmental Education in the Master of Teaching Program. With over four decades of experience spanning K-12 teaching, teacher education, and educational leadership, she brings extensive practical knowledge to preparing future educators in science and environmental pedagogy. Her educational background includes: MEd in Science Education, University of Toronto/OISE (2000) BEd in Science and Environmental Science Education, University of Toronto/FEUT (1984) BSc in Biology, University of Toronto (1983) McEwan's research centers on nature-based learning, outdoor and environmental education, and differentiated instruction. She develops practical strategies for integrating environmental awareness into science curricula through hands-on, experiential learning in natural settings. Her work emphasizes making complex ecological concepts accessible to diverse learners while addressing real-world environmental challenges through classroom applications. Her publication record spans 30+ years with over 30 scholarly works, showing consistent focus on practical educational resources. Recent publications address contemporary issues like food systems education and acid rain impacts, while maintaining strong emphasis on outdoor learning methodologies and curriculum development for K-12 settings. The body of work demonstrates evolution from foundational environmental science resources toward integrated, systems-thinking approaches. As a Sessional Lecturer and former Faculty Advisor in the MT Program (2016-2023), she has mentored numerous pre-service teachers. Her extensive experience as both K-12 educator and teacher trainer provides unique perspective for guiding new educators in implementing effective science and environmental education practices.

• Acoustics
• Soundscape
• Vocal Tract Modeling
• +7 more

Marc Freixes Guerreiro is a Researcher at La Salle School of Engineering, Department of Engineering, part of La Salle - Universitat Ramon Llull in Barcelona, Spain. His work focuses on interdisciplinary research at the intersection of acoustics, human-environment interaction, and biomedical engineering. He actively participates in multiple research projects investigating soundscape perception, vocal tract modeling, and human comfort in built environments. His research interests span a diverse range of fields including Acoustics , Soundscape , Vocal Tract Modeling , Urban Environment , Sensor Networks , and Citizen Science . His work combines computational modeling with practical applications in both urban settings and biomedical contexts. He has particular expertise in analyzing vocal phenomena, from animal vocalizations for welfare monitoring to human phonation mechanics for speech synthesis and clinical applications. Analysis of his recent publications reveals a strong interdisciplinary trend, connecting engineering principles with applications in healthcare, urban planning, and cultural heritage. His work demonstrates expertise in both theoretical modeling (such as finite element analysis of vocal folds) and practical implementation (like sensor networks for environmental monitoring). The research spans from fundamental acoustics to applied projects addressing real-world challenges in animal welfare, medical diagnostics, and urban comfort. Marc Freixes Guerreiro leads and participates in multiple significant research projects including the BeNeXT project for Turner syndrome diagnostics, DISTRESIA for stress biomarker identification in educational contexts, Sons dels Monestirs for sacred space acoustics in Catalan monasteries, and Inhabiting Gaudí for comfort assessment in Gaudí's architectural masterpieces. His collaborative work demonstrates strong connections across engineering, medical, and humanities disciplines. His laboratory work focuses on the Human-Environment Research group within the Department of Engineering, where he develops and applies acoustic measurement techniques, computational models, and sensor network solutions. His research teams typically include interdisciplinary collaborators from engineering, medical, and humanities backgrounds, reflecting the cross-cutting nature of his research interests.

• Digital Media Systems
• Technology Enhanced Learning
• Adaptive Learning
• +6 more

Paul Newbury is a Professor of Digital Media Systems in the Department of Informatics at the University of Sussex's School of Engineering and Informatics. He holds a BEng in Electrical and Electronic Engineering (Brighton University), MSc in Intelligent Systems (Plymouth University), and PhD (Bradford University). As Chair of the Informatics Board of Studies, he oversees multiple degree programs including BSc Computer Science and MSc Computing with Digital Media. His research specializes in Technology Enhanced Learning systems, with expertise in: Adaptive and collaborative e-learning frameworks Game-based educational applications Assistive technologies for dyslexic students Arabic language learning tools via touchscreen interfaces Universal Design for Learning (UDL) integration His 60+ publications show consistent focus on practical e-learning innovations, with recent works (2015-2023) emphasizing gamification, mobile learning applications for special needs education, and Arabic literacy tools. Notable trends include pilot studies validating educational technologies and cross-cultural implementations in Saudi Arabian schools. He has supervised PhD students now working as academics internationally. His grant leadership includes the EU-funded 'VIRTUAL IP ENVIRONMENT FOR RAPID SILICON' project (2001-2005).

Greg MaguireView profile

Professor

• Animation
• Facial Animation
• 3D Animation
• +4 more

Professor Greg Maguire serves as Professor of Animation at Belfast School of Art, Ulster University. His work bridges academic research and industry practice in animation and visual effects. His research interests focus on facial animation, 3D animation techniques, and AI applications in animation . Key areas include deep learning for audio-driven facial animation, spectral mesh processing, and the intersection of animation with literary adaptation. His work demonstrates strong industry relevance through collaborations with major studios. Professor Maguire's recent publications reveal trends toward AI integration in animation pipelines , with significant focus on facial animation systems and neural network applications. His work spans academic research (peer-reviewed articles) and industry practice (game development, visual effects). Professor Maguire actively promotes industry-academia collaboration through initiatives like Northern Ireland's animation cluster 'Toody Threedy' and partnerships with Northern Ireland Screen, Skillset, and US-based companies. His work includes developing flexible learning programs for animation professionals. He has established significant industry connections through work with Lucasfilm Animation, Industrial Light & Magic, and Walt Disney Feature Animation, contributing to major productions including Avatar and Harry Potter films.

Xiaobai LiuView profile

Assistant Professor

• Computer Vision
• Machine Learning
• Computational Statistics
• +6 more

Xiaobai Liu is an Assistant Professor in the Department of Computer Science at San Diego State University, College of Sciences. His research bridges Computer Vision, Machine Learning, and Computational Statistics, with applications in Clinic Diagnosis, Sports, Transportation, Surveillance, and Video Games. Education: PhD in Computer Science from HuaZhong University of Science and Technology (2012) His research focuses on image parsing, video analysis, and deep learning techniques for 3D reconstruction, object tracking, and marine mammal detection. Recent publications highlight advancements in LiDAR generation, scene text recognition, and automated spectrogram processing. Notable grants include NSF-funded projects on autonomous vehicle safety simulations, marine mammal classification, and AI-driven recycling systems. He has advised over 30 students in real estate analytics, robotics, and computer vision projects. Scientific Awards: 2018 San Diego State University President’s Excellence Award

Simon C. CorkView profile

Senior Lecturer

• Physiology
• Obesity Research
• Medical Education
• +3 more

Dr Simon C. Cork serves as Senior Lecturer at Anglia Ruskin University's School of Medicine, holding key leadership roles including Admissions Lead, Phase 1 Lead for the MBChB program, co-lead for Widening Participation, and Physiology Lead. His career uniquely integrates neurophysiological research on obesity mechanisms with national reform of medical education access. His academic credentials include: BSc (Hons) Biomedical Science, Durham University (2008) PhD in Neurophysiology, Durham University (2013) PGCert in Clinical Education, King's College London (2020) Dr Cork's research spans obesity physiology —focusing on gut hormones like GLP-1 and vagus nerve signaling in appetite regulation—and educational equity , where he designs admissions frameworks to identify potential beyond traditional metrics. His dual expertise drives innovations in both pharmacotherapeutic understanding and inclusive medical training pathways. Analysis of his 15 most recent publications reveals two dominant trajectories: cutting-edge investigations into GLP-1 receptor agonists' mechanisms (including post-bariatric applications) and transformative medical education research addressing widening participation through AI tools, alternative qualifications, and online assessment systems. This synergy positions him at the intersection of physiological discovery and educational reform. His distinguished contributions are recognized through: 2026 Widening Participation in Physiology Prize Lecture (Physiological Society) As an educator, Dr Cork supervises research students while shaping national policy via UCAT Board membership to dismantle admission barriers. His public engagement—evidenced by BBC documentaries, Cheltenham Science Festival appearances, and New York Times coverage—translates complex science for global audiences, particularly regarding anti-obesity medications. Collaborating with Imperial College London and University College London, he maintains active neurophysiology research while leading ARU's Medical School initiatives through the Medical Schools Council Selection Alliance and Physiological Society fellowship.

• Composite Materials
• Manufacturing Processes
• Structural Repair
• +4 more

Laurent Crouzeix is a Lecturer at the University Institute of Technology in Mechanical and Production Engineering of Toulouse (IUT GMP), part of the University of Toulouse. He is a member of the Composite Materials and Structures group (MSC) at the Clément Ader Institute, where he serves as Co-Animator of the Implementation, Processes and Properties (MaPP) axis. His academic position is firmly within the engineering faculty, focusing on practical and theoretical aspects of composite materials. Professor Crouzeix's research centers on the critical relationship between manufacturing processes of composite structures and their resulting mechanical properties. His work specifically addresses: Effects of defects and variabilities generated during production of composite parts from thermosetting prepregs Manual draping and autoclaving processes Abrasive water jet machining for composite structure repair Automatic production of thermoplastic composite parts by strip deposition Methods for repairing thermoset (TD) and thermoplastic (TP) composite structures His research approach combines rigorous experimental observations with sophisticated numerical simulations to predict mechanical behavior. This dual methodology has resulted in approximately 70 scientific contributions spanning from 2006 to 2022, demonstrating consistent productivity in high-impact journals such as Composites Part A, Composites Part B, and Composite Structures. His publication trend shows particular focus on abrasive water jet applications and composite repair methodologies in recent years. Professor Crouzeix plays a significant role in managing experimental facilities at ICA Toulouse, overseeing critical equipment including multiaxial test frames, polymerization autoclaves, and advanced machining systems for composite materials. His technical leadership extends to coordinating spaces and resources for the Jacqueline Auriol training center and participating in various institutional committees. As an educator, he coordinates solid mechanics courses, teaches composite materials manufacturing and repair, and covers Aeronautical Sciences for undergraduate students, while also contributing to Master's level education in mechanical testing and composite structure repair through the European Master Erasmus Mundus program.

Fabrice LamarcheView profile

Associate Professor

• Virtual Humans
• Crowd Simulation
• Motion Planning
• +5 more

Fabrice Lamarche serves as an Associate Professor at Université de Rennes 1 within the ESIR School of Engineering, while maintaining dual affiliation with the MimeTIC research team at IRISA / INRIA Rennes. His academic career spans uninterrupted service since 2004, evolving from Assistant Professor roles at IFSIC (2003-2009) to current positions at ESIR. As co-founder of Golaem (2009), he bridges academic research with commercial application in crowd simulation technology. His institutional journey includes sequential membership in SIAMES (2004-2006), Bunraku (2007-2011), and MimeTIC (2011-present) research teams at INRIA. Lamarche earned his PhD in Computer Sciences from Université de Rennes 1 in 2003 with thesis work on virtual human autonomy. His educational foundation includes a Master of Computer Sciences specializing in Computer Graphics and AI (1999-2000), a Master of Engineering from INSA de Rennes (1997-2000), and a Technical degree from IUT de Limoges (1995-1997). His research program centers on virtual human behavior modeling with emphasis on decision-making systems, path planning under environmental constraints, and crowd simulation architectures. Key innovations include TopoPlan for human-scale navigation and frameworks integrating high-level task scheduling with low-level motion planning. This work addresses fundamental challenges in creating autonomous virtual characters capable of navigating complex 3D environments while exhibiting realistic behaviors, with applications spanning virtual reality, gaming, and simulation-based training systems. Publication analysis reveals consistent output from 2001-2014, evolving from foundational behavioral animation (2001-2004) to sophisticated crowd simulation systems (2013-2014). A notable trajectory shows increasing integration of cognitive modeling with motion planning, alongside exploration of Brain-Computer Interfaces for virtual navigation. Recent work demonstrates particular strength in semantic decomposition of urban environments and time-space constrained task scheduling. His scientific contributions have earned significant recognition: Rennes city medal (2009) for research excellence Second prize at Deutsch Telekom Awards (FMX 2008) for TopoPlan/MKM integration As an active researcher and educator, Lamarche advises students through Université de Rennes 1 while leveraging INRIA resources and Golaem industry partnerships. His publication record indicates sustained grant funding, particularly through INRIA channels, with collaborative projects extending to neuroscience applications via Brain-Computer Interface research. The MimeTIC team affiliation provides infrastructure for multimodal interaction research in complex virtual environments. Lamarche's laboratory work through MimeTIC focuses on developing practical implementations of virtual human autonomy systems. His research group maintains strong industry connections via Golaem, which commercializes crowd simulation technology. Current efforts emphasize semantic understanding of virtual urban spaces and robust path planning under dynamic constraints, building on foundational work in topological navigation and behavioral decision systems.

• Fluid Dynamics
• Atmospheric Physics
• Turbulence
• +5 more

Gholamhossein Bagheri is a Scientist and Group Leader at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, where he heads the Turbulence and Particles in Fluids research group within the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB). His research focuses on the complex physics of particle-laden turbulent flows across environmental, atmospheric, and biological systems. Dr. Bagheri's research spans multiple interconnected domains of fluid physics with significant real-world applications. His primary areas of investigation include: Cloud physics and aerosol-cloud interactions, particularly their role as major sources of uncertainty in weather models and climate projections Atmospheric transport of non-spherical particles such as volcanic ash, microplastics, pollen, and snowflakes Indoor air quality dynamics and the spatio-temporal evolution of respiratory aerosols relevant to infectious disease transmission Development of advanced measurement techniques for studying particle-laden flows in both laboratory and field conditions Analysis of Dr. Bagheri's publication record reveals a trajectory from fundamental fluid dynamics toward increasingly applied research addressing critical environmental and public health challenges. His work on respiratory particle transmission during the COVID-19 pandemic provided key evidence for mask efficacy that influenced policymakers and the public. His research consistently tackles significant uncertainties in atmospheric science while developing innovative instrumentation to bridge laboratory and field measurements. Dr. Bagheri leads an active research team that has developed several groundbreaking measurement platforms including the Max Planck CloudKite (MPCK), the HoloTrack instrument for cloud droplet measurements, and the WinDarts system for atmospheric turbulence measurements. His group has conducted major field campaigns such as the Pallas Cloud Experiment (PaCE) in September 2022 and IMPACT (In-situ Measurement of Particles, Atmosphere, Cloud, and Turbulence) from May to June 2024, where up to six second-generation WinDarts units were successfully deployed over Pallas, Finland.