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Saad Ali AminView profile

Senior Lecturer

• Health Informatics
• Multimedia and e-learning
• E-health
• +9 more

Dr. Saad Ali Amin serves as the Post-graduate Programme Manager and Principal Lecturer in Network Computing within Coventry University's Faculty of Engineering and Computing. With extensive experience in academic leadership and research, he directs postgraduate programs while maintaining an active research portfolio focused on health informatics and computing technologies. His work bridges theoretical computer science with practical healthcare applications, particularly in biomedical image processing and distributed computing systems. Education: Pg.Cert., Learning and Teaching in Higher Education, Coventry University Ph.D., Computer Science, Loughborough University M.Phil., Computer and Control Systems, Brunel University Dr. Amin's research spans multiple interconnected domains within health informatics and computing. His primary focus centers on the design of biomedical image processing algorithms and multimedia applications for parallel and distributed computing environments, with implementation on Clusters of Workstations (CoW). He has made significant contributions to context-aware multimedia information systems for e-health decision support, creating technological solutions that adapt to user and environmental contexts. His work in parallel processing, particularly with systolic arrays and VLSI implementations, demonstrates a strong foundation in hardware-aware algorithm design. The integration of neural networks with biomedical applications represents another key thread in his research portfolio, showing how advanced computational models can enhance healthcare delivery systems. Analysis of Dr. Amin's publication record reveals a consistent trajectory from foundational work in parallel computing and image processing toward increasingly healthcare-focused applications. His early work (2004-2006) established technical capabilities in medical visualization and knowledge management, while his middle period (2010) demonstrated the application of context-aware systems to e-health decision support. The most recent publications (2011-2013) show expansion into performance evaluation systems, steganography applications, and comprehensive surveys of pervasive healthcare systems. This progression illustrates a researcher who has successfully adapted core computing expertise to address evolving healthcare technology challenges, with particular emphasis on culturally sensitive implementations as evidenced by his work in UAE and Arab contexts. Dr. Amin has secured multiple competitive research grants that reflect the practical impact of his work: Breast cancer detection research funded by BUiD Research Funding (UAE) Parallel computing and medical imaging collaboration with Midlands region hospitals (UK) European Community funding for collaboration with European institutes UNESCO funding as Project Manager for Computerised Documentation Bank Prime Minister Initiative 2 (UK) for Context-Aware Multimedia Information System for e-Health Decision Support Knowledge Exchange and Enterprise Network (KEEN UK) for Reliable and Energy Cognitive Radio Multichannel MAC Protocol development As an academic leader, Dr. Amin has supervised 4 completed PhD students with 3 currently under supervision. His professional service includes membership on the IEEE Committee for Signal Processing Chapter for the UK and Ireland, Vice-Chairmanship of the British Computer Society/Middle East section, and roles on the Executive Council of Dubai Government Excellence Projects. He has organized major international conferences including the 4th International Conference on Developments in e-Systems Engineering (DeSE'11) and served on program committees for numerous biomedical engineering and signal processing conferences.

Carol Luckhardt RedfieldView profile

Professor

• Educational Gaming
• Intelligent Tutoring Systems
• Artificial Intelligence
• +4 more

Carol Luckhardt Redfield is a Professor of Computer Science at St. Mary's University with industry experience at Southwest Research Institute and Mei Technology Corporation. She directs educational initiatives in computer gaming and technology camps, and developed the Graduate Certificate in Educational Computer Gaming program. She holds a Ph.D. (1989) and two M.S. degrees (1982) from the University of Michigan. Her research integrates computer gaming, intelligent tutoring systems, and AI in education, with applications in K-12 outreach and space education. Awards: San Antonio Women's Hall of Fame (1992) Multiple Partner-of-the-Year awards for STEM outreach National Space Society education awards She chairs major conferences including Artificial Intelligence in Education (2001) and organized the university's Ultimate Frisbee program.

• Computational Geometry
• Numerical Simulation
• GPU Programming
• +5 more

César Blecua Udías is a Professor and Subdirector at the Escuela Superior de Enseñanzas Técnicas (Architecture) at Universidad CEU Cardenal Herrera in Valencia. He holds a PhD in Architecture (2017) and teaches courses such as Structural Mechanics, Steel Structures, and New Technologies in Dentistry. His research focuses on computational methods for physical process modeling, including software development for architectural structures, CFD simulations, and GPU-accelerated graphics. He coordinates university choirs and chamber orchestras, reflecting his interdisciplinary engagement. Education: Bachelor of Architecture: Escuela Técnica Superior de Arquitectura, Universidad Politécnica de Valencia (2004) PhD in Architecture: Universidad CEU Cardenal Herrera (2017, Summa Cum Laude) Research Interests: His work bridges architecture and computing, developing tools for structural analysis, thermal simulations in Mediterranean courtyards, radiosity lighting algorithms, and hardware-accelerated image compositing. He is part of the 'Métodos computacionales para la modelización de procesos físicos' research group, focusing on quadrilateral meshing and finite element method implementations. Grants/Advising: Supervised the doctoral thesis 'Análisis computacional de mallados cuadrangulares en geometrías complejas para implementación en el método de los elementos finitos.' Labs/Teams: Leads the 'Putthephysicsinthecomputer' computational methods group and coordinates the university's Orfeón and Camerata (choir and chamber orchestra).

Chris ChildView profile

Senior Lecturer

• Artificial Intelligence
• Game Development
• Reinforcement Learning
• +3 more

Dr. Chris Child is a Senior Lecturer in the Department of Computer Science at City, University of London, and currently serves as the Associate Dean for Employability and Engagement since 2020. He leads initiatives such as virtual internships, client-based projects, and the Last Mile training program in collaboration with Accenture. As a researcher, he focuses on AI-driven game agents, employing techniques like reinforcement learning and approximate dynamic programming. Additionally, he founded Childish Things Ltd., a computer game company, and pioneered City’s first Data Science apprenticeship program. His academic journey includes a PhD in Approximate Dynamic Programming from City, University of London (2011), alongside leadership in game development and industry-academia partnerships. His educational background encompasses a BSc in Computer Science and Software Engineering (University of Birmingham, 1993), MSc in Cognitive Science (University of Birmingham, 1994), and a PGDip in Academic Practice (City, University of London, 2004). Professional memberships include the British Computing Society and IEEE. Research interests center on intelligent agents for games, robotics, and healthcare applications. Notable projects include the Cricket Captain game series, virtual laparoscopic training tools, and emotion-based reward systems for AI agents. His work bridges academic research with industry, emphasizing practical applications of AI in gaming and education. Advising and grants are not explicitly detailed, but his role in apprenticeship development highlights his commitment to student employability. His company Childish Things Ltd. exemplifies full-stack game development expertise, from design to marketing. Future research aims to integrate agent research into commercial games and improve software engineering practices in gaming.

Adam KortylewskiView profile

Research Fellow

• Computer Vision
• Robust AI
• 3D Understanding
• +3 more

Dr. Adam Kortylewski leads an Emmy Noether research group at the University of Freiburg's Department of Computer Science. His work focuses on developing robust computer vision systems that reliably understand images under challenging conditions including occlusion, novel viewpoints, and adverse weather. The research combines deep learning with computer graphics to create 3D-aware neural network architectures. Research interests include: Robustness to out-of-distribution scenarios 3D object understanding from 2D images Neural analysis-by-synthesis approaches Occlusion handling in visual recognition Compositional network architectures Adversarial robustness Recent publications demonstrate advancements in self-supervised 3D learning, semantic correspondence, and neural rendering. Articles show consistent focus on improving model robustness through 3D-aware architectures and compositionality. Dr. Kortylewski received prestigious Emmy Noether funding from the German Research Foundation (DFG) to support his work on reliable computer vision. His research has applications in autonomous vehicles, industrial robotics, and safety-critical vision systems.

• Computer Graphics
• Motion Capture
• Artificial Intelligence
• +9 more

Dr. Zhidong Xiao serves as Principal Academic (Associate Professor) at Bournemouth University's National Centre for Computer Animation within the Faculty of Media and Communication. With over ten years of leadership experience including roles as Programme Leader, Head of Education, and Deputy Head of Department, he drives academic strategy and research innovation in computer animation and digital media. His work bridges technical excellence with creative industry applications through extensive collaborations across the UK and China. Dr. Xiao's educational foundation includes a PhD in Computer Graphics (2010) and postgraduate certificates in Education Practice (2010) and Research Degree Supervision (2011) from Bournemouth University, complemented by a BEng (Hons) in Thermodynamics from Taiyuan University of Technology, China (1994). PhD in Computer Graphics, Bournemouth University (2010) PGCE in Education Practice, Bournemouth University (2010) PGCE in Research Degree Supervision, Bournemouth University (2011) BEng (Hons) in Thermodynamics, Taiyuan University of Technology (1994) His research spans Computer Graphics, Motion Capture, Artificial Intelligence, and Virtual Reality with focus on physics-based simulation, sign language recognition, and motion synthesis. Recent work integrates partial differential equations with machine learning to solve animation challenges in facial realism, deformation simulation, and 3D reconstruction. His interdisciplinary approach connects computer science with creative industries, healthcare applications, and educational technology while advancing core techniques in neural rendering and motion analysis. Analysis of his 15 most recent publications reveals consistent innovation in physics-based animation techniques (40%), motion capture processing (25%), and neural approaches to 3D reconstruction (35%). Key trends include the fusion of analytical physics models with deep learning architectures, development of efficient real-time simulation methods, and expansion into accessibility applications through sign language recognition systems. Scientific recognitions include: Fellow of British Computer Society (2023) Fellow of Higher Education Academy (2011) Best Poster Award at Pacific Graphics 2014 He maintains active peer review roles for EPSRC, ESRC, IEEE Transactions on Multimedia, and ACM SIGGRAPH conferences. Dr. Xiao has supervised seven PhD students to completion while currently guiding Alexandra Sergeeva Alexdottir's research on Phantom Touch phenomena. His grant portfolio demonstrates strong industry-academia collaboration: Principal Investigator Capturing and representing sign language (British Council, 2025) VE Communication Programme (Erasmus+, 2020) Co-Investigator Rehabilitation Enhancement via Motion Capture (BU Fusion Fund, 2013) Cross-Channel Film Lab (Interreg, 2012) Digital Beijing Opera Project (2010) As a core member of Bournemouth's Computer Graphics and Visualisation Research Group and Centre for Digital Entertainment, he leads initiatives in motion capture technology through AccessMocap Studio. His international outreach includes invited lectures across China on computer animation education and visual effects techniques, strengthening global partnerships in creative technology development.

• Virtual Reality
• Human-Computer Interaction
• Affective Computing
• +3 more

Ifigeneia Mavridou is a Researcher at Bournemouth University's Faculty of Media and Communication , affiliated with the Centre of Digital Entertainment and collaborating with Emteq Ltd. Her work focuses on Virtual Reality and Affective Human-Computer Interaction (HCI) , leveraging physiological signals like EEG, EMG, and PPG for emotion detection. Education : MA in Art, Virtual Reality and Multi-user Systems (University Paris-8 & Athens School of Fine Arts, 2014); PhD in Affective State Recognition in Virtual Reality (Bournemouth University, 2021) Her research explores the intersection of New Media Art and VR to identify emotional features that enhance immersive experiences and VR content re-playability . Current projects involve developing OCOsense™ smart glasses for facial expression recognition and AVEL (Affective Virtual Environment Library) for emotion analysis. Recent publications highlight trends in VR-based emotion detection , wearable sensor integration (optomyography, EMG, PPG), and applications in mental health and clinical research . She is supported by an EPSRC grant for her work on affective VR systems. Collaborative efforts include supervision by Dr. Emili Balaguer-Ballester, Dr. Alain Renaud, Dr. Anna Troisi, Dr. Ellen Seiss, and Dr. Charles Nduka. She has participated in over 20 new media art exhibitions across Europe since 2005.

Philipp FleckView profile

Researcher

• Augmented Reality
• Virtual Reality
• Computer Graphics
• +4 more

Philipp Fleck is a researcher at the Institute of Visual Computing at Graz University of Technology (TU Graz). His work focuses on augmented reality (AR), virtual reality (VR), and computer graphics, with applications in industrial systems, medical imaging, and situated analytics. He has developed tools like CECILIA and RagRug for game content exploration and spatial data analysis. Research Highlights: AR for heavy machinery safety using laser projections Thermochromic temperature sensing for cost-efficient thermal imaging Compact World Anchors for large-scale localization Situated analytics frameworks for physical-digital integration Scientific Contributions: His publications span 3D reconstruction, SLAM, image processing, and IoT-ready XR-WebApps. Awards include Best Paper at VISAPP 2020 and Honorable Mention at IEEE VR 2024.

• Geographic Information Systems (GIS)
• Computer Graphics
• Mobile GIS Applications
• +4 more

Aleksandar M. Dimitrijevic is an Associate Professor at the Faculty of Electronic Engineering, University of Niš, Department of Electrical Engineering and Computer Science. He holds a Doctorate from the same institution (2024), a Master's degree (2003), and a Bachelor's degree (1997). His academic career includes roles as Assistant Professor (2004) and Associate Professor (2024). Education: PhD in Computing and Informatics, Faculty of Electronic Engineering, University of Niš (2024) Master's degree in Electrical Engineering and Computer Science, Faculty of Electronic Engineering, University of Niš (2003) Bachelor's degree in Electrical Engineering and Computer Science, Faculty of Electronic Engineering, University of Niš (1997) Research Interests: Aleksandar focuses on Geographic Information Systems (GIS) , Computer Graphics , and Algorithm Optimization . His work emphasizes terrain rendering algorithms, mobile GIS applications, and integration of GIS with virtual reality systems. Recent projects include optimizing spatial coherence in terrain visualization and developing block-based rendering techniques for large datasets. Publications Trends: His articles span terrain rendering (RINGO algorithm variants), mobile GIS implementation, and XML web services management. Notable contributions include enhancing parallel processing for spatial data and improving visualization efficiency in mobile environments. Advising & Grants: While specific student names/grant details are not listed, he participates in 3 national projects and has contributed to international conferences (WSEAS, TELSIKS). His research collaborations include institutions like Benalmadena (Spain) and Elounda (Greece). Labs/Teams: Affiliated with the Faculty's computing and telecommunications departments, though specific lab names are not specified in the text.

• Topological Data Analysis
• Scientific Visualization
• Computational Geometry
• +3 more

Joshua A. Levine is a researcher in the Department of Computer Science at the University of Arizona, focusing on topological data analysis, scientific visualization, and computational geometry. His work bridges computer graphics, data science, and mathematical methods. Key Research Areas: Topological data analysis, visualization of scientific simulations, mesh processing algorithms, and computational methods for scalar fields. Recent Trends: 2025 publications highlight discrete vector field construction and topological simplification solvers, building on 2024 work in open-access repositories. Earlier work includes particle system simulations (2022), neural representations for volumetric data (2021), and foundational contributions to Delaunay meshing (2008–2012). Collaborations: Regularly works with Julien Tierny, Matthew Berger, Robert M. Kirby, and Valerio Pascucci.

Barbara SolenthalerView profile

Research Fellow

• Physics-based modeling and simulation
• Data-driven simulations
• Deep learning for physics
• +2 more

Barbara Solenthaler is a Senior Research Scientist at ETH Zurich's Computer Graphics Laboratory, leading the Simulation and Animation Group. She holds a Hans Fischer Fellowship at the Technical University of Munich (TUM-IAS). Her research focuses on physics-based simulations for computer graphics applications, integrating deep learning to enhance efficiency and artist control. She has co-founded Apagom AG, providing real-time fluid engines using machine learning. Education: PhD in Computer Science, University of Zurich Research Interests: Physics-driven simulations for visual effects, games, and biomedical computing Data-driven methods and neural networks for fluid dynamics Real-time computation and artist-controllable workflows Awards: Hans Fischer Fellowship (2019) Best Paper Awards (2017, 2011) Swiss National Science Foundation grants Advising & Grants: She has led research projects funded by SNSF, ETH Zurich, and Innosuisse. Her work bridges academic research and industry applications through collaborations like Apagom AG. Labs/Teams: Leads the Simulation and Animation Group at ETH Zurich and contributes to TUM-IAS's Simulation and Digital Twin focus group.

• Computer Vision
• Computational Imaging
• Non-Line-of-Sight Imaging
• +7 more

Suren Jayasuriya is a highly active faculty-level researcher in computer vision and computational imaging, with 79 refereed publications (2014-2025) in leading venues such as CVPR, ICCV, ECCV, NeurIPS, IEEE TPAMI and ACM TOG. His work integrates physics-based models with modern machine learning to tackle problems like non-line-of-sight imaging, atmospheric turbulence removal, neural 3D reconstruction, and speech enhancement, while also advancing STEM education through AI. Education & Affiliation: No explicit institutional details are contained in the supplied DBLP extract; however, the sustained publication record and extensive student mentoring indicate a tenured or tenure-track professorship within an engineering or computing department. Research Interests: Jayasuriya’s interests sit at the intersection of computer vision, computational photography, and physics-based machine learning . He develops algorithms that exploit optical and acoustic phenomena for tasks such as seeing around corners, correcting atmospheric distortion, and reconstructing 3D scenes from sparse sonar or radar data. Additional threads include energy-efficient tracking, robust speech processing, and AI-supported pedagogical innovation. Publication Trends: Across the 15 most recent works (2022-2025) his papers exhibit a clear thematic arc: neural representations for multimodal fusion (camera-sonar, radar-vision), unsupervised video restoration under atmospheric turbulence, attention-driven non-line-of-sight tracking, and evaluation of large multimodal models for perceptual reasoning. These contributions simultaneously advance core vision methodologies and demonstrate interdisciplinary applications spanning robotics, environmental monitoring, underwater perception, and education. Students & Mentoring: Jayasuriya has advised an active cohort of graduate researchers who appear repeatedly as co-authors, including Sreenithy Chandran, Ripon Kumar Saha, Albert W. Reed, Joshua D. Rego, Dehao Qin, Jianwei Zhang, Odrika Iqbal, Sameeksha Katoch, Md. Farhan Tasnim Oshim, and Shenbagaraj Kannapiran, among others. Scientific Awards: No awards are listed in the supplied extract; the awards field is left empty. Labs & Teams: While specific laboratory names are not disclosed, the collaborative scope—encompassing hardware-software co-design, field deployments, and educational outreach—suggests he leads or co-leads a research group with access to specialized imaging and robotics facilities.

• Augmented reality
• Computer graphics
• Extended reality
• +4 more

Davide Calandra is a Fixed-term Researcher at the Department of Control and Computer Science (DAUIN) within the College of Computer, Film, and Mechatronics Engineering at Politecnico di Torino. He holds expertise in Information Processing Systems (IINF-05/A) and focuses on computer graphics, human-computer interaction, and virtual reality applications. His research spans augmented reality, extended reality, mixed reality, and virtual reality with applications in healthcare, education, emergency response, and cultural heritage preservation. Calandra's work addresses fundamental challenges in human-robot interaction, social VR experiences, and XR-based training systems. His research contributes to multiple UN Sustainable Development Goals including Good Health and Well-being, Quality Education, Industry Innovation and Infrastructure, Sustainable Cities and Communities, and Life on Land. Analysis of his recent publications reveals a consistent focus on practical applications of VR/AR technologies, particularly in social interaction enhancement, emergency response training, cultural heritage preservation, and rehabilitation. His work demonstrates a strong interdisciplinary approach, bridging computer science with practical applications in diverse fields. Calandra actively contributes to the GRAINS - GRAphics and INtelligent Systems research group and the VR@POLITO laboratory, where he develops cutting-edge XR technologies and applications. As an educator, he teaches across multiple programs including PhD courses in Information Visualization and Visual Analytics, Master's courses in Generative Artificial Intelligence for Graphics and Multimedia, and various undergraduate courses in databases and information systems. His teaching spans multiple engineering disciplines including Computer Engineering, Aerospace Engineering, and Engineering and Management. His notable project includes the Augmented Sand Table for Forest Firefighting, which demonstrates his commitment to applying XR technologies to real-world emergency response scenarios.

• Serious Games
• Games for Health
• Virtual Reality
• +5 more

Simon McCallum is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He transitioned to academia in 2009 after working as a game developer in Norway. His research focuses on Serious Games, particularly in health applications, Virtual Reality, and gamification. He holds a PhD in Computer Science from the University of Otago (2007) and has a multidisciplinary background in Mathematics, Psychology, and Philosophy. Education: Bachelor's in Computer Science (University of Otago) PhD in Computer Science (University of Otago, 2007) Affiliations: NTNU since 2009 Previously worked in game development startups in Norway His research interests include Games for Health , Augmented Reality , and Medical Education . Notable projects include Smartkuber (a cognitive health game for the elderly) and AR applications for neurosurgical training. He has collaborated extensively on gamification strategies in healthcare and software education. His publications span topics like volumetric terrain rendering, cognitive screening via games, and educational game design. His work emphasizes bridging technology with healthcare and education through immersive experiences.

• Human-Computer Interaction (HCI)
• User Experience (UX)
• Concept Mapping
• +4 more

Thomas Methven is an Associate Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in Computer Science. His research focuses on Human-Computer Interaction (HCI), User Experience (UX), and cognitive aspects of technology use. Key areas include concept mapping, emotion feedback systems, and user confidence in explanation systems. He has contributed to over 16 research outputs since 2011, with notable work on data-driven explanations in concept maps and triangulation methods in UX studies. His research aligns with UN Sustainable Development Goals, emphasizing innovation and quality education. Methven has received two Honourable Mentions from ACM (CHI 2017 and DIS 2017) for his contributions to HCI research. His work often combines qualitative and quantitative methods, exploring how users interact with and perceive digital systems. While no formal grant details are provided, his research collaborations include projects on crowdsourcing, cognitive styles, and visual perception. He is actively involved in academic communities, contributing to conferences such as CHI and DIS.