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Santiago BerrezuetaView profile

Lecturer

• Virtual Reality
• Augmented Reality
• eXtended Reality
• +7 more

Santiago Berrezueta is a Lecturer at the School of Computation, Information and Technology within Technical University of Munich (TUM). He actively contributes to research in Virtual Reality , Artificial Intelligence , and Robotic Assistance , with a focus on applications in Education and Healthcare . 2025 : 10 publications in VR, robotics, and AI ethics. 2024 : 4 co-authored studies on ChatGPT in ADHD therapy and collaborative learning. His research intersects Interactive Learning and Computer Vision , particularly in ADHD treatment , Language disorder detection , and VR-based education . He supervises Bachelor’s/Master’s theses on topics like gaze-based interaction, collaborative VR workflows, and AI-driven therapeutic tools. 2025: Excellent Paper Award at International Symposium on Educational Technology (ISET 2025) 2024: Best Presentation Award at International Conference in Intelligent Environments (IE 2024) He leads courses on Software Engineering and Programming Fundamentals at TUM’s Heilbronn campus. His work also explores IoT applications and ethical AI in vulnerable populations.

Alberto L. Sangiovanni-VincentelliView profile

Professor

• Cyber-Physical Systems
• Design Automation
• Embedded Systems
• +7 more

Alberto L. Sangiovanni-Vincentelli holds the Edgar L. and Harold H. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a pioneer in Electronic Design Automation (EDA) and co-founder of Cadence and Synopsys. His research focuses on Cyber-Physical Systems (CPS), embedded systems, hybrid systems, and formal methods for AI. He has authored over 800 papers and 17 books, with major contributions to design automation and methodologies. Education: Dr. Ing., EECS, Politecnico di Milano (1971) Research interests include design methodologies, CPS, and AI integration. He has received numerous awards, including the IEEE James Clerk Maxwell Medal (2008) and ACM/IEEE A. Richard Newton Technical Impact Award (2009). He serves on multiple corporate boards and advisory councils, including the Strategic Committee of the Italian Strategic Fund and the Executive Committee of the Italian Institute of Technology. His work spans academia, industry, and policy, with a focus on innovation ecosystems and CPS design automation. Awards: Over 20 major honors, including Fellowships from IEEE and ACM.

Arsalan HeydarianView profile

Associate Professor

• Intelligent Infrastructure Design
• Smart Transportation Systems
• Mixed Reality (VR/AR) in Construction
• +2 more

Arsalan Heydarian is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Virginia (UVA) , with affiliations to the UVA Link Lab and Omni Reality and Cognition Lab (ORCL Lab) . His work focuses on user-centered intelligent infrastructure through virtual/augmented reality and data-driven design . Education: Ph.D. in Civil Engineering (USC) M.Sc. in Systems Engineering (USC) M.Sc. in Civil Engineering (Virginia Tech) B.Sc. in Civil Engineering (Virginia Tech) Research Streams: Intelligent built environments Mobility infrastructure design User-centered autonomous vehicles Data-driven mixed reality Construction automation Recent Article Trends: Spanning smart buildings , VR/AR applications , and transportation systems , his publications emphasize human-environment interaction , adaptive infrastructure , and immersive technology in civil engineering. Awards: NSF $1M Grant for inclusive AI education initiatives Labs & Teams: Co-founder of the Omni Reality and Cognition Lab (ORCL) , a leading facility for VR/AR-based infrastructure research and human behavior studies in built environments.

David SjöbergView profile

Associate Professor

• Police Education
• Simulation Training
• Workplace Learning
• +3 more

David Sjöberg serves as Associate Professor at Umeå University's Unit of Police Work, specializing in research, teaching, and pedagogical development for police and emergency response education. His work bridges academic theory with practical training methodologies for first responders. His educational background includes a Ph.D. in Education and the Swedish Docent title, signifying advanced research competence and doctoral supervision资格. Ph.D. in Education Docent in Education Sjöberg's research centers on simulation-based training innovations, examining psychological responses in mass casualty incidents, mixed reality applications, and informal workplace learning among police educators. He investigates how preparation phases, debriefing models, and role assignments impact practical knowledge development in vocational contexts, with strong emphasis on real-world applicability for police training. Analysis of his 15 most recent publications reveals consistent focus on simulation fidelity and learning transfer in emergency response training. Recent work (2023-2025) explores mixed reality integration and psychological adaptation in mass casualty scenarios, while earlier studies examine observer roles, secondary participant learning, and virtual case effectiveness. His research demonstrates methodological diversity through qualitative analyses, comparative studies, and longitudinal assessments. Awarded for teaching excellence, his recognitions include: Excellent teacher award at Umeå University Distinguished university teacher designation Sjöberg secures significant research funding through projects like MELODY (2018-2022) on police learning dynamics and Safety & Security Test Arena (2016-2019) for emergency response innovation. As Docent, he supervises doctoral candidates though specific advisees aren't listed in source materials. His grants consistently target simulation technology advancement and pedagogical refinement in high-stakes vocational training. He leads Umeå University's "Learning in police work" research profile, coordinating interdisciplinary collaboration between police educators, practitioners, and simulation specialists to develop evidence-based training protocols and evaluate learning outcomes in realistic operational environments.

Richard JoinerView profile

Professor

• Digital Technology and Learning
• Computer Supported Collaborative Learning
• Digital Games and Learning
• +5 more

Richard Joiner is a Professor in the Department of Psychology at the University of Bath, where he serves as Deputy Head of Department for Education and Student Experience. He leads research at the intersection of digital technology and education within the Cognition, Affective Science & Technology Laboratories (CASTL). Academic appointment: Professor (since 2015) Administrative role: Deputy Head (Education & Student Experience) Research group: CASTL Research interests center on technology-enhanced learning: Digital technology for physics education Game-based engineering learning with 'Racing Academy' Conflict resolution in collaborative digital environments Gender dynamics in ICT adoption Immersive technology applications Extended mind theory in healthcare education Recent publications demonstrate: AI and VR integration in medical training ITEM framework validation for immersive tech Digital learning equity research Psychological impacts of technology mediation Curriculum innovation through tech Cross-disciplinary educational technology

• Audio Engineering
• Room Acoustics
• Binaural Sound Reproduction
• +7 more

André Siegel is a Lecturer for special tasks at the Electronic Media Technology Group, Department of Electrical Engineering and Information Technology, Technical University of Ilmenau. He is actively involved in research and teaching related to audio engineering and acoustics, with a focus on spatial sound reproduction and simulation. His research interests span Audio Engineering , Room Acoustics , Binaural Sound Reproduction , Spatial Audio , Acoustic Simulation , and Audio Signal Processing . His work emphasizes practical implementations in real environments, including crosstalk cancellation, head-related transfer function measurement, and sound field analysis. The publications reflect a consistent research trajectory from 2005 to 2013, with a concentration on spatial audio technologies, room simulation methods, and perceptual aspects of sound reproduction. Key themes include the optimization of stereo and binaural systems, low-frequency acoustic behavior, and advanced measurement techniques using vector sensors and spherical arrays. André Siegel has not been awarded any scientific prizes or fellowships mentioned in the available data. He collaborates with researchers such as Hans-Peter Schade, Stephan Werner, and Julius T. Fricke. His work contributes to both academic knowledge and practical applications in room acoustical consultancy and immersive audio systems. He is based in Helmholtz Building, Room H 3529, and can be contacted at andre.siegel@tu-ilmenau.de.

Brian EilerView profile

Assistant Professor

• Quantitative Psychology
• Experimental Psychology
• Social Psychology
• +7 more

Brian Eiler is an Assistant Professor of Psychology at Davidson College , where he joined in 2019. His academic background includes a Ph.D., M.A., and B.A. in Experimental Psychology from the University of Cincinnati, followed by a post-doctoral fellowship at Northern Arizona University. Research Focus: Complex systems perspectives on human behavior, social justice, and well-being Methodologies: Computational modeling, agent-based simulations, virtual reality, motion tracking, physiological measurements (electrodermal response, heart rate dynamics) His work spans social, industrial-organizational, and health psychology, with specific projects examining sexual violence dynamics through naturalistic data, cultural influences on student-athlete health, and organizational culture modeling. He integrates philosophy, complexity science, artificial intelligence, and data science into his research and teaching. At Davidson, he teaches Psychological Research-Design and Analysis (PSY 310) and is developing an advanced seminar in Psychological Models. His teaching emphasizes personal mentorship and equipping students with advanced quantitative skills for real-world applications.

Kelly KlimaView profile

Professor

• Energy
• Energy and Environment
• Natural Hazards
• +5 more

Kelly Klima is a Senior Engineer and Professor of Policy Analysis at the RAND School of Public Policy. She specializes in decision analysis related to energy systems, climate resilience, and infrastructure. Her work focuses on energy transitions, natural gas decommissioning, AI's energy demands, and urban heat mitigation strategies. She holds a Ph.D. in Engineering and Public Policy from Carnegie Mellon University and is an adjunct assistant professor there. Klima's research spans global applications, including projects in California, Pittsburgh, St. Paul, New Jersey, Washington, D.C., and New York City. She has contributed to Congressionally mandated studies and leads the SUCCEED summer program for K-12 educators on climate and energy decision-making. Her expertise includes policy analysis, modeling, and resilience strategies for critical infrastructure. Education: Ph.D. in Engineering and Public Policy from Carnegie Mellon University. Holds certifications as CFM (Association of State Floodplain Managers) and CCEA (International Cost Estimating and Analysis Association). Research Interests: Energy transitions, infrastructure resilience, climate adaptation, AI's energy impacts, and equity in disaster response. She employs modeling and simulation to address challenges in energy systems, urban heat islands, and policy design. Key Contributions: Co-authored reports on natural gas decommissioning in California, AI power demand projections, and cooling strategies for Los Angeles renters. Her work emphasizes actionable solutions aligned with long-term climate goals. She mentors summer associates and supports policy initiatives through RAND's research programs. Labs/Teams: Leads the SUCCEED program, fostering STEM education and climate literacy among students and educators. Collaborates with federal agencies and international organizations on resilience and adaptation projects.

Terrence FernandoView profile

Professor

• Urban Simulation
• Virtual Prototyping
• Collaborative Virtual Environments
• +7 more

Prof Terrence Fernando is a leading academic and research innovator in the fields of virtual environments, urban simulation, and disaster resilience. He serves as Director of the THINKlab and has led major multi-institutional research initiatives across the UK and internationally. His work bridges engineering, urban planning, and digital collaboration, with strong affiliations to institutions such as the University of Salford, UMIST, Manchester, and Lancaster. His research focuses on developing advanced collaborative platforms for urban planning, energy efficiency, and disaster resilience. Key projects include EU-funded CoSpaces, INTUITION VR Network, Visionair, Design4Energy, PROSECO, and CROSS DRIVE. Currently, he leads the GCRF/EPSRC-funded MOBILISE and ESRC/GCRF TRANS-DRIVE projects, which aim to build resilient communities in Sri Lanka, Malaysia, and Pakistan through digital infrastructure and stakeholder collaboration. His research portfolio demonstrates a consistent trend toward integrating virtual reality, unified information modeling, and multi-agency coordination to address complex societal challenges such as flood and landslide risk, sustainable urban development, and community resilience. These efforts emphasize participatory design, risk-sensitive planning, and technology-enhanced stakeholder engagement. Scientific Director, EU CoSpaces Project Core Member, INTUITION VR Network of Excellence Partner, Visionair Project Principal Investigator, MOBILISE Project (GCRF/EPSRC) Principal Investigator, TRANS-DRIVE Project (ESRC/GCRF) Prof Fernando has secured significant research grants from EPSRC, EU, and GCRF, enabling large-scale deployments in partnership with local governments and resilience forums. His projects often involve multi-agency collaboration with city councils, NGOs, and international consortia, focusing on real-world impact in urban resilience and sustainable development. He leads the THINKlab, a research center dedicated to advanced virtual prototyping and collaborative workspaces, which has developed innovative simulation and visualization technologies for sectors including aerospace, construction, and urban planning.

Antonis StylianouView profile

Associate Professor

• Computational Biomechanics
• Musculoskeletal Modeling
• Multibody Dynamics
• +3 more

Antonis Stylianou is an Associate Professor in the Department of Mechanical Engineering at the University of Missouri - Kansas City (UMKC). He holds a Ph.D. in Mechanical Engineering from the University of Kansas (2004), along with multiple master's degrees in Mathematics (2012) and Mechanical Engineering (2000), and a B.S. in Mechanical Engineering (1998). His primary affiliation is within the School of Science and Engineering, where he focuses on computational biomechanics, musculoskeletal modeling, and multibody dynamics. Dr. Stylianou's research emphasizes Elbow joint mechanics and ligament deficiency modeling Virtual surgical simulators for pelvic surgery error prevention Pediatric knee anatomy and ACL injury risk analysis Musculoskeletal models of human motion Finite element analysis of cartilage contact pressures His work bridges computational methods with clinical applications, including developing tools for orthopedic surgeons and training paradigms for surgical techniques. Recent studies have explored surgeon kinematics during retropubic trocar insertion and posteromedial rotatory incongruity of the elbow. Teaching responsibilities include advanced dynamics, biomechanics, and experimental methods courses. His contributions underscore the integration of engineering principles with medical challenges, particularly in orthopedic and surgical contexts.

Carlos VázquezView profile

Professor

• Computer vision
• Medical imaging
• 3D reconstruction
• +4 more

Carlos Vázquez is a Professor at the Department of Software Engineering and IT, École de technologie supérieure (ÉTS). He holds a B.Eng. and M.Sc. from ISPJAE, Cuba, and a Ph.D. from INRS, Montreal. His research focuses on computer vision, medical imaging, 3D reconstruction, and immersive video technologies. He co-leads the Summit Tech Research Chair in Immersive and Interactive Video and is affiliated with the Multimedia Research Laboratory (LABMULTIMEDIA) and the Open Innovation Laboratory in Health Technologies (LIO-ÉTS). His expertise includes stereoscopic imaging, multi-view video coding, and GPGPU programming. Notable research axes are software systems, multimedia, cybersecurity, and health technologies. He has supervised numerous doctoral and master’s theses, including works on 3D spine reconstruction, personalized femur modeling, and immersive video compression. Key contributions include advancements in medical imaging analysis, 3D reconstruction from biplanar radiographs, and efficient video coding for virtual reality. His work bridges clinical applications and engineering, with implications in surgical planning, patient rehabilitation, and multimedia systems optimization.

Attila Bekkvik SzentirmaiView profile

Assistant Professor

• Universal Design of ICT
• Human-Computer Interaction
• Augmented Reality
• +5 more

Attila Bekkvik Szentirmai is an Assistant Professor and Ph.D. research fellow at the Department of Design, Norwegian University of Science and Technology (NTNU), focusing on Universal Design of ICT, Human-Computer Interaction, and Augmented Reality (AR) development. With prior academic roles at the University of Agder and Oslo Metropolitan University, his interdisciplinary background bridges Social Science, Art, Software Engineering, and Digital Health. He teaches Web of Things (IDG3006) and leads innovative AR projects like AReader (AR screen reader), ARachnoAID (phobia treatment), and guARdian (daily decision support). Current role: Assistant Professor at NTNU Research focus: Universal Design, AR/VR accessibility, e-Learning/e-Health Teaching: Web of Things (IDG3006) course coordinator Previous roles: Assistant Professor at University of Agder and OsloMet His recent publications emphasize accessible AR/VR design, including humor/ethics in technology, sustainable AR solutions, and critical analysis of accessibility paradoxes. Projects span education (SlidAR classroom presentations), health (CybAR sickness, ARachnoAID), and sustainability (HoloWatch, E-Waste gaming). All work aligns with universal design principles to ensure inclusivity across diverse user needs. Scientific contributions include developing new accessibility heuristics for AR, analyzing AI-AR integration for decision-making, and creating prototypes for banknote recognition and indoor navigation. His publications bridge theoretical research with practical implementations, often using Unity/Vuforia for development and cross-disciplinary collaboration. His XR Research & Development timeline highlights innovations such as Deadliest Animals (2017, first universally designed WebVR), UndARtheSkull (2019, brain anatomy education), and 2023 projects like Jedi fARt Pro (humorous AR), Meta IntARaction (Quest3 AR), and XR Portal (AR-VR integration). Current Ph.D. work focuses on evidence-based accessibility guidelines for AR, aiming to impact social inclusion, academic research, and industry UX practices.

• Robotics
• Industrial Automation
• Control Systems
• +6 more

Petter Falkman is a researcher at Chalmers University of Technology, specializing in robotics, industrial automation, and control systems. His work bridges theoretical advancements with practical applications in manufacturing, leveraging technologies like digital twins, eye tracking, and virtual reality. Key Research Areas: Robotics, Industrial Automation, Control Systems, Digital Twins, Human-Computer Interaction, Machine Learning. Collaborations: Frequently works with Bengt Lennartson, Kristofer Bengtsson, Martin Dahl, and colleagues across institutions. Publication Trends: Recent articles focus on gaze-based human intention prediction, ROS2 control architectures, and compositional automated planning. His work integrates machine learning with industrial control systems, emphasizing event-driven design and virtual commissioning. Methodologies: Develops frameworks like EPypes for data pipelines, contributes to STEP AP214 model generation, and explores energy optimization in multi-robot systems.

Margarete A. JadamecView profile

Associate Professor

• Geodynamics
• Tectonics
• Numerical Modeling
• +5 more

Margarete A. Jadamec serves as Associate Professor at the University at Buffalo, SUNY, holding dual appointments in the Department of Earth Sciences within the College of Arts and Sciences and the Institute for Artificial Intelligence and Data Science. She directs the Computational and Data-Enabled Science and Engineering PhD Program, leading interdisciplinary research at the intersection of geodynamics and advanced computing. Her research focuses on solid Earth deformation processes, particularly plate and mantle dynamics at subduction zones. Using high-resolution numerical models and high-performance computing, she investigates how 3D slab geometries influence mantle rheology and subduction mechanics. Key interests include slab-driven mantle flow, multi-plate interactions, and dynamically evolving plate-asthenosphere decoupling, moving beyond traditional 2D paradigms toward comprehensive 3D modeling. Her publication record (2014-2018) reveals a strong emphasis on computational geodynamics, with recurring themes in mantle flow dynamics, subduction zone mechanics, and virtual reality applications for geoscientific visualization. Notable contributions include developing the ShowEarthModel framework for global slab geometry analysis and advancing 3D modeling of the Alaska tectonic system. Dr. Jadamec actively mentors students through the Department of Earth Sciences and Computational and Data-Enabled Science and Engineering PhD Program, collaborating with UB's Research Engineering Laboratory for Advanced Computational Science. Her Geodynamics Research and Visualization Group leverages modern technologies to pioneer convergent research in plate tectonics. Laboratory work centers on the Geodynamics Research and Visualization Lab, where her team develops data-driven models of natural subduction systems using high-performance computing and 3D virtual reality frameworks like TECT_Mod3D Software and geosolver Cluster Partition.

Mohammad PoursinaView profile

Associate Professor

• Dynamic Modeling and Simulation of Multibody Systems
• Robotics and Robotic Rehabilitation
• Artificial Intelligence and Control Systems
• +4 more

Mohammad Poursina is an Associate Professor at the Department of Engineering Sciences , University of Agder, Norway. His research spans multibody dynamics , robotics , and celestial mechanics , with a focus on dynamic modeling, control systems, and biomechatronics. He has held prior academic roles at the University of Arizona and Rensselaer Polytechnic Institute. Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (2011) M.Sc. and B.Sc. in Mechanical Engineering, University of Tehran (2006, 2003) His work addresses complex systems through interdisciplinary approaches, including robotic rehabilitation , flexible manipulators , and molecular dynamics . Recent publications highlight advancements in trajectory optimization , VR/AR surgical training , and asteroid system modeling . He serves on the editorial boards of Multibody System Dynamics and Journal of Computational and Nonlinear Dynamics , and has organized ASME conference sessions. Key research groups: Artificial Intelligence, Biomechatronics, and Collaborative Robotics Projects: Reality-Connected Machine Simulation of Heavy Machinery (RealSim)