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Ali AdjorluView profile

Assistant Professor

• Virtual Reality (VR)
• Autism Spectrum Disorder (ASD)
• Educational Technology
• +4 more

Ali Adjorlu is an Assistant Professor at Aalborg University's Department of Architecture, Design and Media Technology. His research focuses on innovative applications of Virtual Reality (VR) to support marginalized populations, particularly children with Autism Spectrum Disorder (ASD), hearing impairments, and social anxiety. He leads the Multisensory Experience Laboratory and collaborates on interdisciplinary projects such as the GAMESS initiative, which develops game-based learning tools for social skills training in ASD education. His work bridges technology, education, and healthcare, emphasizing accessibility and user-centric design. Key collaborations include: Co-supervision of the Haptic Feedback for Hearing Impaired PhD project (2022–2025) Leadership in the GAMESS project (2022–2024), addressing ASD social skills through gamified VR Partnerships with Cirkus Summarum and Danish National Children’s Choir for inclusive VR applications Research interests include: VR interventions for ASD life skill training (e.g., public transportation, communication) Music therapy in immersive environments Hearing conservation and auditory training for cochlear implant users Accessibility frameworks for neurodiverse and disabled populations His publications highlight VR's potential in education, healthcare, and social inclusion, with notable contributions to conferences like IEEE VR and SMC. He actively engages with public media to disseminate research outcomes, appearing in articles about VR therapy for autism and hearing impairment interventions. Adjorlu’s work also explores: VR-based empathy training for parents of hearing-impaired children Collaborative music interfaces for ALS patients Remote UX evaluation methodologies for assistive technologies His research has led to practical tools like Earnormous (a hearing health VR game) and DecibelDefender (concert safety training), demonstrating real-world impact. He emphasizes iterative design processes involving end-users to ensure interventions are both effective and accessible.

Thecla SchiphorstView profile

Professor

• Embodied Cognition
• Movement Knowledge Representation
• Wearable Technology
• +3 more

Thecla Schiphorst is Professor and Director of the School of Interactive Arts and Technology at Simon Fraser University. Her research bridges dance, computing, and embodied interaction, focusing on movement knowledge representation, wearable technologies, and aesthetics of interaction. With interdisciplinary MA (Dance and Computing Science) from SFU and PhD from University of Plymouth, she applies somatic models like Laban Movement Analysis to technology design. Schiphorst co-developed Life Forms, the choreographic composition tool used by Merce Cunningham for his creations (1990-2005). Her work expands embodied theory applications in HCI through research in tangible interfaces, natural interaction, and experience design. She teaches courses exploring artificial intelligence applications and ethical challenges.

Erwin FieltView profile

Senior Lecturer

• Business and IT Strategy
• Digital Innovation
• Business Model Innovation
• +6 more

Dr. Erwin Fielt is a Senior Lecturer at the School of Information Systems within the Faculty of Science at Queensland University of Technology (QUT). He holds a PhD from Delft University of Technology and an MSc from the University of Twente, both in the Netherlands. His research focuses on the intersection of business strategy and information technology, emphasizing innovation, digital transformation, and data-driven business models. Current roles include Academic Lead Learning & Teaching in the School of Information Systems and Co-lead of the Algorithmic Enterprise theme at QUT's Centre for Future Enterprise, collaborating with the Technical University of Munich's KrcmarLab. Research Interests: Dr. Fielt's work explores digital business models, AI governance, platform ecosystems, and the strategic application of emerging technologies. His recent studies address topics such as metaverse entrepreneurship, value creation in digital platforms, and the governance challenges of data-driven enterprises. Awards: He has received the Best Paper Award at ICRIIS 2011 and the Best Poster Award at dg.o 2008. His teaching includes advanced units like IT Governance (IFN631) and the IT Capstone Project (IFB399), with a focus on preparing students for digital innovation challenges. Advising & Grants: Dr. Fielt has supervised doctoral and master's students on topics like shared services, software-as-a-service adoption, and enterprise architecture. His research collaborations span industry and academic institutions globally, addressing challenges in digital innovation, platform ecosystems, and public-sector AI applications. Labs/Teams: He contributes to QUT's Centre for Future Enterprise and Centre for Data Science, leading initiatives in algorithmic enterprise strategies and digital innovation frameworks.

Eva PfanzelterView profile

Associate Professor

• Contemporary History
• Holocaust Studies
• Cultures of Remembrance
• +9 more

Eva Pfanzelter is an Associate Professor at the Institute of Contemporary History, University of Innsbruck, where she also serves as Deputy Director. She is a leading scholar in digital humanities, Holocaust studies, migration history, and cultures of remembrance. Her international academic engagement includes visiting professorships at Leiden University and the University of New Orleans. She leads the Research Center for Digital Humanities at the University of Innsbruck and is actively involved in major interdisciplinary research projects such as NewsEye (H2020) and optionMUDI. Her research interests span contemporary European and regional history, with a focus on transcultural memory, digital history, and public history. She has made significant contributions to understanding Holocaust memory in digital spaces, migration narratives, and the politics of commemoration. Her work integrates historical scholarship with digital methodologies, emphasizing interdisciplinary collaboration. The most recent publications highlight a strong trend in digital humanities, particularly the analysis of Holocaust memory in online and social media environments, the use of digital newspaper archives, and methodological innovations in historical research. Her work bridges traditional historical inquiry with computational tools, exploring how digital platforms shape collective memory and historical discourse. Europa Nostra Heritage Award 2024 (NewsEye project) Lehreplus! Prize 2014 (University of Innsbruck) Global Ambassador Award 2012 (Eastern Illinois University) Funding commitment 2010 (University of Innsbruck) Research scholarship 1997–1999 (Association for South Tyrolean Scholars) Pfanzelter is deeply involved in academic service, including thesis supervision, editorial work (co-editor of historia.scribere ), and leadership roles in academic governance. She has led significant research projects on return migration, digital interfaces for historical newspapers, and the memory of the South Tyrol Option. She collaborates with institutions across Europe and North America and is a respected voice in digital history and Holocaust studies. She is a key figure in the digital humanities community at the University of Innsbruck, leading the DH@Innsbruck initiative and promoting digital literacy in historical research. Her work on public history and online commemoration has influenced how institutions and scholars engage with digital memory practices.

• Virtual Reality
• Haptic Technology
• Interaction Design
• +3 more

Rolf Nordahl is an Associate Professor at Aalborg University, affiliated with the Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. His primary research interests include Virtual Reality (VR), Haptic Technology, Interaction Design, and Sonic Interaction Design, with applications in education and healthcare. Nordahl is actively involved in several projects, including: Audio-haptics: Exploring audio-haptic feedback systems. GAMESS: Developing VR interventions for children with autism to improve social skills. DREAM: Digitally reworking electroacoustic music. Natural Interactive Walking: Investigating haptic and auditory modalities for virtual locomotion. He has been recognized with awards such as the 2015 Winner of the 3D User Interfaces contest and a 2014 Honorable Mention for Best Paper. Nordahl’s recent research focuses on practical applications, including pain distraction for children through VR and audio-haptic soundscapes, as well as immersive geometry environments for mathematics education. Academic service includes: Chairman of the Study Board for Media Technology (2010–2016). Membership in review committees for Eurohaptics and IEEE VR workshops. Organizer of the 3rd IEEE VR Workshop on Sonic Interactions (2017). His work has been featured in media discussions on VR’s role in education and healthcare, including projects like VR environments for children’s wellbeing and participatory design approaches. Nordahl leads the Multisensory Experience Laboratory, advancing immersive technologies for diverse applications.

Antonio García CabotView profile

Associate Professor

• Artificial Intelligence
• Educational Technology
• Natural Language Processing
• +5 more

Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.

Tom Fincham HainesView profile

Senior Lecturer

• Machine Learning
• Computer Vision
• Computer Graphics
• +15 more

Tom Fincham Haines is a Senior Lecturer in the Department of Computer Science at the University of Bath. He is affiliated with the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI, the Centre for Mathematics and Algorithms for Data (MAD), and multiple interdisciplinary institutes including Visual Computing, IAAPS, the Bath Institute for the Augmented Human, and the Institute for Digital Security and Behaviour (IDSB). He is actively accepting doctoral students and maintains a strong research presence in machine learning and its applications. Research Interests: Dr. Haines applies machine learning to computer vision and graphics, with a focus on graphical models, Bayesian non-parametric models, directional statistics, and active learning. His current interests include developing tools for artists, machine learning for education, online/real-time machine learning, causality, and scaling non-parametric methods for big data. His work contributes to several UN Sustainable Development Goals, particularly in health and security domains. Recent Research Trends: His recent publications (2024–2025) reflect a strong interdisciplinary focus, combining machine learning with applications in sonar imaging, drug detection, and creative media. He leverages deep learning and hybrid spectroscopic techniques for portable forensic devices and explores tangible interfaces for virtual film production, demonstrating a blend of technical innovation and societal impact. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Dr. Haines supervises doctoral students and has contributed to 8 supervised works. He is actively involved in multiple funded research projects, including as Principal Investigator (PI) on a Defence Science and Technology Laboratory project for synthetic opioid detection, and as Co-Investigator on EPSRC, MRC, Innovate UK, and National Police Chiefs' Council projects related to healthcare, chronic pain, and radicalization. His grant portfolio reflects strong collaboration across engineering, health, and security sectors. Labs and Teams: He is embedded in several research centers at the University of Bath, including the Centre for Mathematics and Algorithms for Data (MAD), the Institute for the Augmented Human, and the Institute for Digital Security and Behaviour (IDSB), where he contributes to AI, machine learning, and visual computing initiatives. His work spans collaborative teams in healthcare technology, digital forensics, and creative computing.

Javier Gonzalez-SanchezView profile

Assistant Professor

• Human-Computer Interaction
• Software Engineering
• Affective Computing
• +11 more

Javier Gonzalez-Sanchez is an Assistant Professor in the Department of Computer Science and Software Engineering at the College of Engineering, California Polytechnic State University (Cal Poly). His work bridges software engineering and human-computer interaction, focusing on creating intelligent systems capable of understanding and responding to human emotions and cognitive states. His research interests lie at the intersection of affective computing, software engineering, and interactive technologies. He aims to develop adaptive systems that enhance user experiences in education, healthcare, manufacturing, and entertainment by leveraging physiological signals such as brain activity, eye movements, and biometric data. His approach involves using cutting-edge tools including brain-computer interfaces, eye-tracking devices, and virtual/augmented reality platforms. The absence of publication data prevents detailed analysis of article trends; however, his research direction suggests strong interdisciplinary engagement with psychology, education, and health sciences. He actively involves students in hands-on research, blending teaching with innovation. Javier contributes significantly to diversity, equity, and inclusion through participation in programs such as the Learning Aligned Employment Program (LEAP), Engineering Possibilities in College (EPIC), and the Summer Undergraduate Research Program (SURP). He also supports K-12 outreach in partner schools through robotics and computational thinking initiatives funded by the Office of University Diversity and Inclusion. Additionally, he mentors Hispanic undergraduate students pursuing graduate education through the Society of Hispanic Professional Engineers (SHPE). He is involved in grant-funded projects aimed at expanding educational pipelines for underrepresented communities. While specific grants are not listed, his engagement with university diversity grants and outreach programs highlights his commitment to inclusive engineering education. Javier leads or participates in research teams focused on empathetic computing and intelligent tutoring systems, though specific lab names or team structures are not mentioned in the text.

Carlos Tirado CortesView profile

Lecturer

• Human-Computer Interaction
• Virtual Reality
• Mixed Reality Technologies
• +6 more

Carlos Tirado Cortes is a Lecturer in Interaction Design at the Discipline of Design Lab , Faculty of Architecture, Design and Planning, University of Sydney. As a virtual environments researcher, he focuses on Human-Computer Interaction and data visualization in immersive systems. Ph.D in Human-Computer Interaction (University of Technology Sydney, 2021) M.S. in Computer Game Engineering (Newcastle University, UK, 2015) B.S. in Engineering and Information Technology (Monterrey Institute of Technology, Mexico, 2012) His research explores immersive visualization for wildfire training (iFire project), VR sickness analysis, and brain-body dynamics during virtual navigation. Recent publications examine: AI-powered wildfire visualization systems Metaverse safety for children Postural instability in VR environments Fire-atmosphere interaction modeling Balance recovery techniques in immersive spaces

Timothy McMahanView profile

Assistant Professor

• Adaptive Virtual Environments
• Neurogaming
• Virtual Reality
• +7 more

Dr. Timothy McMahan is an Assistant Professor in the Department of Computer Science at the University of North Texas. His research focuses on adaptive virtual environments, neurogaming, and applying VR/AR technologies to neuropsychological assessment and training. He holds a Ph.D. in Computer Science (2016) and multiple advanced degrees from UNT. Education: Ph.D. Computer Science, University of North Texas (2014–2016) M.S. Computer Science, University of North Texas (2007–2013) B.S. Computer Science, University of North Texas (2003–2007) Postdoctorate in Computational Neuropsychology, University of North Texas (2016–2017) Research Interests: Adaptive VR environments for personalized user experiences Neurogaming applications in healthcare and education Machine learning for cognitive assessment and environmental adaptation EEG-based analysis of user engagement and cognitive workload VR tools for neuropsychological disorder diagnosis and treatment Recent work emphasizes VR applications in memory research, adaptive systems leveraging real-time ML predictions, and EEG-driven analyses of subjective experiences. Articles focus on bridging virtual and real-world interactions through computational neuroscience methods. No scientific awards or grants are explicitly listed in the provided materials. No advisees or lab affiliations are documented here.

• Distributed Systems
• IoT Protocols
• Big Data
• +4 more

Dr. Sotirios Kontogiannis is a Researcher and Director of the Distributed MicroComputer Systems Laboratory (MCSL) at the Department of Mathematics, University of Ioannina. He holds a PhD in Software Engineering from Democritus University of Thrace (2012), with a focus on load balancing algorithms for distributed systems. His career spans academic and private sector roles, including software development, research in FP7 projects, and technical leadership at TEKMON Geomatics. He currently teaches courses on Database Systems, Parallel Algorithms, and Educational Technologies at the University of Ioannina. Education: 5-year Engineering Diploma (DUTH, 2003), MSc in Microelectronics and Information Systems (DUTH, 2006), PhD in Load Balancing Algorithms (DUTH, 2012). Research Focus: Distributed systems, IoT protocols, sensor networks, big data, and smart agriculture technologies (e.g., beekeeping monitoring systems, wine fermentation frameworks). His work integrates IoT, AI, and edge computing to address challenges in agriculture, accessibility, and environmental monitoring. Notable inventions include patented smart beehive systems and tactile navigation tools for visually impaired individuals.

• Virtual Reality
• Human-Computer Interaction
• Visual Analytics
• +4 more

Peter Passmore is a Senior Lecturer in the Department of Computing Science at Middlesex University. His research focuses on Virtual Reality, Human-Computer Interaction, and Visual Analytics, with applications in gaming, intelligence analysis, and immersive media. Research Interests: Virtua... (truncated for brevity)

Shree K. NayarView profile

Professor

• Computational Imaging
• Computer Vision
• Physics-based Vision Models
• +6 more

Shree K. Nayar serves as the T. C. Chang Professor of Computer Science at Columbia University's Fu Foundation School of Engineering and Applied Science, where he directs the Columbia Vision Laboratory (CAVE). A Columbia faculty member since 1991, he held the Computer Science Department Chair position from 2009-2012 and concurrently served as Director of NYC Research at Snap Inc. until April 2024. His academic credentials include: Ph.D. in Electrical and Computer Engineering, Carnegie Mellon University (1990) M.S. in Electrical and Computer Engineering, North Carolina State University (1986) B.S. in Electrical Engineering, Birla Institute of Technology, Ranchi, India (1984) Nayar's research pioneers three interconnected domains: novel camera architectures for enhanced visual data capture, physics-based computational models for vision and graphics, and advanced algorithms for scene interpretation. These innovations drive applications across digital imaging, robotics, virtual/augmented reality, human-computer interfaces, and computer graphics, establishing him as a foundational figure in computational imaging. His laboratory's output includes commercially deployed technologies and open educational tools. His exceptional contributions are recognized through comprehensive honors: Okawa Prize (2023), Indian National Academy of Engineering (2022), SPIE Luminary (2021) Funai Achievement Award (2021), IEEE PAMI Distinguished Researcher Award (2019) National Academy of Inventors (2014), American Academy of Arts and Sciences (2011) National Academy of Engineering (2008), Packard Fellowship (1992) Multiple David Marr Prizes and 14+ Best Paper Awards across SIGGRAPH, CVPR, and ECCV While specific student mentorship details aren't documented in available sources, his educational impact is evident through initiatives like the Bigshot camera project. Nayar's research program has secured substantial funding through mechanisms including the National Young Investigator Award and Packard Fellowship, enabling sustained innovation at the CAVE laboratory. The Columbia Vision Laboratory (CAVE) functions as an interdisciplinary hub developing computational imaging systems that bridge theoretical vision models with practical applications, evidenced by media coverage in The New York Times, BBC, and Scientific American regarding self-powered cameras, flexible imaging systems, and educational technologies.

• Computer Vision
• Artificial Intelligence
• Robotics
• +7 more

Christopher McCarthy is an Associate Professor in the Department of Computing Technologies within the School of Science, Computing and Emerging Technologies at Swinburne University of Technology. His research focuses on computer vision algorithms applied to robotics, intelligent transport systems, and assistive technologies, particularly for people with low vision. He serves as Stream Leader in Swinburne’s Innovative Planet Research Institute, leading the Intelligent Transport stream, and is a Chief Investigator in the Australian Cobotics Centre funded by the ARC. He has held research roles at CSIRO Data61, the Bionics Institute, and the University of Melbourne, contributing to bionic eye technology under the Bionic Vision Australia consortium. His research interests include: Computer Vision and AI for real-time systems Robot perception and navigation Assistive technologies for low-vision and blind users Intelligent transport systems and video analytics Human-machine interaction and cyber-human teams His recent publications reflect strong trends in deep learning, continual learning, and real-world deployment of vision systems in transport and healthcare. He has led numerous field trials and evaluations to assess system performance in real-world contexts. His work is highly interdisciplinary, combining computer science with engineering, medicine, and urban planning. Christopher McCarthy has received multiple awards, including: FSET Research Collaboration Award Excellence in Industry Engagement Special Commendation – VC Research Impact Finalist – National Disability Award in Technology Best Paper Award (IEEE) Excellence in Teaching (University of Melbourne) He has supervised over 20 HDR students in areas including robotics, AI, assistive tech, and transport analytics. He has led major research grants from ARC, Defence, SmartCrete CRC, iMOVE, and city councils. He also served as Academic Director for Work-Integrated Learning (2016–2023) and coordinated professional placements. His teaching includes core computer science units such as Computer Systems and Object-Oriented Programming. He maintains ongoing affiliations with: Bionics Institute (Honorary Member) Bionic Vision Australia (Affiliate) Data61 (Honorary Member) Royal Children's Hospital, Melbourne International Task Force for Vision Restoration Outcomes (Chair)

Claus DanielsonView profile

Assistant Professor

• Control Theory
• Optimization
• Model Predictive Control
• +5 more

Claus Danielson serves as Assistant Professor in the Department of Mechanical Engineering at the University of New Mexico, specializing in constrained planning, control, and optimization for safety-critical systems. His work bridges theoretical control theory with practical applications across robotics, autonomous vehicles, and energy infrastructure. His academic credentials include: PhD in Mechanical Engineering from University of California, Berkeley MS in Mechanical Engineering from Rensselaer Polytechnic Institute BS in Mechanical Engineering from University of Washington Danielson's research centers on Model Predictive Control (MPC), motion planning, and reference governors. He develops algorithms exploiting structural properties in large-scale systems to ensure safety and robustness. His lab creates provably safe motion planning solutions using invariant set theory and non-convex optimization, with applications spanning autonomous vehicles, spacecraft, HVAC, and energy storage networks. Current projects emphasize data-driven approaches for complex constrained systems. Analysis of his recent publications reveals dominant trends in data-driven invariant set methods (2023-2025), robust adaptive MPC for aerospace applications, and safety-guaranteed motion planning. His work increasingly integrates machine learning with control theory, particularly in randomized path planning and extremum seeking control for energy systems like concentrated solar power and HVAC networks. No scientific awards are documented in the provided materials. Danielson teaches Robot Engineering (ME-482/582) and Introduction to Feedback Control (ME-380/ECE-345), mentoring students in non-convex optimization, dynamic system modeling, and control algorithm design. His research collaborations include the UNM-AFRL Agile Manufacturing Laboratory and New Mexico EPSCoR Smart Grid Center, though specific grant details remain undisclosed. He directs the Model Predictive Control Lab, which focuses on developing motion planning algorithms for robotics and autonomous vehicles. The lab also advances control solutions for photovoltaics, concentrated solar, and smart grid technologies, emphasizing scalable algorithms for large-scale energy systems with multi-timescale dynamics.