Adrian Hilton is a Professor of AI and Computer Vision at the University of Surrey, UK. He serves as the Founding Director of the Surrey Institute for People-Centred AI and Director of the Centre for Vision, Speech and Signal Processing. His research focuses on advanced fields such as 4D Vision, Computer Graphics, and AI-driven Digital Doubles. He holds prestigious fellowships including Fellow of the Royal Academy of Engineering, IET Fellow, and IAPR Fellow. His work spans interdisciplinary areas like Virtual/Augmented Reality, Light Fields, and Audio-Visual Signal Processing. No specific grants, students, or recent publications are detailed in the provided text, but his leadership roles highlight significant contributions to AI and computer vision research.
Xiaoqian (Tiffany) Zhang is an Assistant Professor in the Department of Computer Science at the University of Nebraska at Omaha (UNO) College of Information Science & Technology. Her work focuses on cloud computing, computer networking, and cybersecurity. Education: Ph.D. in Computer Science (University of Massachusetts Boston, 2023), MS in Mathematics (New York University, 2014), BA in Mathematics and Economics (Skidmore College, 2012) Her research explores cloud computing and networking with emphasis on machine learning and cybersecurity . Recent work addresses challenges in disaggregated storage systems , edge computing , and augmented reality . She received the DOE NNSA Joule Award (2022) for her scholarship. Her publications span topics including network congestion control , distributed file systems , and audio noise filtering . She teaches courses in cloud computing and computer networking .
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.
Prof. Ralf Steinmetz is a Full Professor of Multimedia Communications at Technische Universität Darmstadt since 1996 and head of the Multimedia Communications Lab. His research focuses on adaptive multimedia systems, self-organizing networks, mobile/sensor networking, and educational technologies. He has held leadership roles at IBM's European Networking Center and Fraunhofer IPSI. His work spans cybersecurity, IoT, disaster communication systems, and industrial networking. Education : Dr.-Ing (PhD) in Electrical Engineering, TU Darmstadt (1986) Habilitation in Computer Science, Goethe University Frankfurt (1994) Research Interests : He pioneers innovations in networked multimedia systems , including fault-tolerant communication, aerial-ground disaster monitoring (e.g., CAMON system), and 5G/Industry 4.0 infrastructure. His work emphasizes resilience, adaptive protocols, and cyber-physical integration. Recent Work Trends : Publications from 2022-2025 highlight advancements in: Wireless communication protocols (ESP-NOW, LoRa) Cybersecurity (intrusion detection via machine learning) Disaster response networks (aerial-ground cooperation) Time-sensitive networking for industrial applications Key Contributions : Developed Nature 4.0 sensor systems for biodiversity monitoring Pioneered P4-programmable network hardware solutions (P4-CODEL, P4-BNG) Advanced UAV-based emergency communication frameworks
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.
Dr. Fernando E. Casado is a Researcher at the Personal Robotics Lab (PRL) within the Department of Electrical and Electronic Engineering at Imperial College London since March 2023. He holds a BSc in Computer Science (2017, University of Santiago de Compostela) with awards for academic excellence, an MSc in Artificial Intelligence Research (2018, Menéndez Pelayo International University), and a PhD in Computer Science (2022, USC) with Cum Laude distinction for his work on continual federated learning strategies. His research focuses on multi-robot and multi-user machine learning to enhance trustworthy human-robot interaction, addressing challenges such as concept drift, non-stationary data, and personalized robotic behavior. Key contributions include federated learning frameworks for assistive robotics, adaptive algorithms for heterogeneous data, and eye-gaze tracking for trust assessment in HRI. Publications span topics like federated learning, continual learning, and human-robot trust, with applications in assistive devices and smart environments. Awards include the Best Academic Record and Thesis Award (BSc) and the highest honors in his PhD. Casado’s work bridges theoretical machine learning with practical robotics, emphasizing privacy-aware systems and user-centered design. He collaborates internationally, including visits to PRL in 2021, and contributes to advancing adaptive algorithms for real-world robotic applications.
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
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.
Prof. Dr. rer. nat. habil. Stephan Kopf is a faculty member at the Faculty of Spatial Information, where he holds the Professorship in Informatics and Geoinformatics. He actively contributes to research in geographic information systems (GIS), computer graphics, computer vision, and multimedia technologies. His academic leadership roles include serving as Dean and as a member of the Faculty Council, with advisory roles in the Senate. His research spans crowd simulation , image/video retargeting , augmented reality platforms , and interactive learning systems . He focuses on algorithm development for GIS, temporal effects in re-captured video, and scalable solutions for classroom interactivity. His work frequently integrates machine learning, mobile computing, and geospatial data. For teaching, he oversees courses such as Internet Technologies, Informatics, and Programming in degree programs like Geoinformatics/Management and Surveying. He supervises theses involving programming-centric topics like mobile app development , VR applications , and astronomical analysis of geospatial data .
Mustafa Özuysal is an Assistant Professor in the Department of Computer Engineering at the College of Engineering, Izmir Institute of Technology (İYTE), where he leads the Visual Intelligence Research Group. His research focuses on computer vision, including object detection, tracking-by-detection, and real-time scene text recognition, with applications on mobile devices. Research Interests: Large-scale object detection Object detection and tracking on mobile platforms Real-time scene text recognition Feature learning from image and video sequences Augmented reality and camera egomotion estimation His scholarly work includes influential publications in IEEE TPAMI, IET Computer Vision, and top-tier conferences such as CVPR and ECCV, particularly in local feature descriptors like BRIEF and keypoint recognition using random ferns. His research emphasizes efficient, real-time algorithms suitable for embedded and mobile systems. Scientific Contributions: Co-developer of the BRIEF descriptor, widely used in computer vision for fast binary feature matching. Contributor to tracking-by-detection frameworks and homography estimation methods robust to occlusions and viewpoint changes. Dr. Özuysal has taught a range of undergraduate and graduate courses, including Introduction to Image Understanding, Vision-Based Tracking and Modeling, Data Structures, and Mobile Application Development. He advises the Visual Intelligence Research Group and continues to advance research in scalable and efficient vision systems.
Chrystalla Mouza serves as Dean of the College of Education and Professor in the Department of Curriculum and Instruction at the University of Illinois, Urbana-Champaign, holding the Edward William and Jane Marr Gutgsell Professorship. Her leadership extends across educational technology, teacher preparation, and computational thinking initiatives that bridge research and practice in K-16 settings. Mouza's research focuses on computational thinking development, equitable computer science education, and technology integration in teacher preparation. She has established herself as a leading voice in educational technology through numerous publications, grant-funded projects, and leadership roles in national initiatives. Her work particularly emphasizes broadening participation in computing and developing effective professional development models for educators. Analysis of her recent publications reveals a strong focus on computational thinking across disciplines, with particular attention to music-computing integration, physical computing environments, and culturally responsive approaches to computer science education. Her research consistently addresses equity issues in computing education while exploring innovative pedagogical approaches that engage diverse learners. National Technology Leadership Summit organizer and contributor Editor of Contemporary Issues in Technology and Teacher Education Principal investigator on NSF-funded computing education projects Mouza actively mentors future educators and researchers while leading one of the nation's premier Colleges of Education. Her work connects university-based research with practical applications in K-12 classrooms through numerous school-university partnerships that support teacher development and student learning.
Massimiliano Lo Turco is a Full Professor at the Department of Architecture and Design (DAD) of the Polytechnic University of Turin. Specializing in digital modeling and cultural heritage, he actively contributes to the fields of Building Information Modeling (BIM), Heritage BIM (HBIM), and 3D reconstruction. University: Polytechnic University of Turin Department: Department of Architecture and Design (DAD) Academic Rank: Professor Research interests include: 3D modeling, reconstructive modeling, augmented/virtual reality, descriptive geometry, architectural representation history, digital cultural heritage, and parametric design. His work often bridges computational tools with heritage conservation. Recent publications demonstrate expertise in: HBIM for Baroque facades, digital preservation of Balinese architecture, parametric design education, and AI-BIM integration. These works align with his broader focus on digital strategies for heritage and sustainable architecture. Scientific awards: Effective member of Italian Union for Drawing (2015-) Associate Editor of Dn - Building Information Modeling, Data & Semantics (2018-) Grants and collaborations: Scientific Director for PhD scholarships in architectural heritage, Contract Manager for agreements with ASL Vercelli, Principal Investigator for research with CNR, and leader of multiple commercial and non-commercial projects with institutions like Museo Egizio and LINKS Foundation.
Erik Malcolm Champion serves as an Enterprise Fellow in Architecture, Creative at the University of South Australia, maintaining active honorary research affiliations with the Australian National University, University of Western Australia, Bunda Mulia University, and Curtin University. Previously honored as a UNESCO Chair, his academic profile reflects deep engagement with digital cultural heritage and immersive technologies. His research centers on Digital Humanities, Interaction Design, Serious Games, Virtual heritage, and digital archaeology, examining how game mechanics and virtual environments transform cultural preservation and public engagement. Champion investigates spatial cognition in digital heritage, non-photorealistic rendering for mobile platforms, and metadata frameworks for sustainable digital projects, consistently bridging theoretical frameworks with practical applications in heritage contexts. Recent publications reveal a trajectory toward post-pandemic heritage experiences, mobile-first immersive solutions, and interdisciplinary approaches combining geography, architecture, and game design. His work demonstrates growing emphasis on accessible technologies and adaptive heritage frameworks for contemporary societal challenges. Scientific recognition includes: UNESCO Chair Champion maintains extensive international collaborations across five continents, evidenced by co-authorship networks spanning institutions like Tampere University. His research program integrates digital archaeology with game design principles to create innovative heritage interpretation tools, though specific grant details remain undisclosed in available materials.
Tobias Lunte is a PhD student and research assistant at the University of Oldenburg's Department of Media Informatics and Multimedia Systems. His work focuses on assistive technologies for education, human-computer interaction (HCI), and multimodal interface design, particularly using gaze-tracking and augmented reality (AR) to address reading difficulties in children. He holds an M.Sc. in Engineering of Socio-Technical Systems (2020) and received the Best Thesis Award in Computer Science by OLDIES e.V. His research integrates real-time gaze behavior analysis to develop adaptive reading assistance tools, collaborating with parents, speech therapists, and educators. He also teaches courses on ethnographic methods, Gestalt principles in design, and quantitative evaluation techniques. In educational development, Tobias redesigned modules like Interactive Systems (BSc) and Human-Computer Interaction (MSc) into a cohesive HCI teaching framework. He pioneered a remote hardware-oriented Maker's Lab course during the 2020 digital semester, which was nominated for Best Course of 2019/20. His practical projects span physical computing, AR applications, and sensory notification systems for clinical environments. Scientific Awards: Best Thesis Award in Computer Science by OLDIES e.V. (2020) He supervises student projects in gaze-tracking, physical computing, and ARVR, including notable works like the Puzzle Box prototype, Sherlock AR game system, and Sensor Pet health reminder tool. His research combines technical innovation with pedagogical insights to create user-centered solutions across education and healthcare domains.
Dr. Margarida Abreu Novais is a Senior Lecturer in the Department of Tourism and Marketing at Griffith University's Business School. She serves as the Cluster Leader of the Visitor Economy Data Analytics and Indicators research cluster at the Griffith Institute for Tourism. With expertise spanning destination competitiveness, events management, data-driven destination management, and tourism resilience, she contributes significantly to both academic research and practical applications in the tourism sector. Her work bridges theoretical frameworks with real-world destination challenges across Australia and internationally. Dr. Abreu Novais earned her PhD in Tourism Management from the University of Queensland (2013-2018) and completed a Master of Business also from the University of Queensland (2008-2010). Her academic journey reflects a strong foundation in business principles applied to tourism contexts. Her research interests focus on complex challenges in tourism through cross-disciplinary approaches. She specializes in destination competitiveness, events management, data-driven destination management, and resilience and risk management in tourism and hospitality. Dr. Abreu Novais is particularly interested in how destinations can leverage data analytics for sustainable development and how authenticity functions within tourism experiences, especially in dining contexts and festivals. Her work often examines the intersection of digital technology with traditional hospitality experiences, exploring how technological advancements impact social interactions in commercial settings. Dr. Abreu Novais's publication record demonstrates a clear trajectory toward increasingly sophisticated analyses of tourism phenomena, with a growing emphasis on data-driven approaches, authenticity in experiences, and resilience in the face of disasters. Her recent work shows a strong focus on commensality (shared dining experiences) in the digital age, authenticity in cultural events, and tourism recovery from natural disasters, particularly the Australian bushfires. This reflects both theoretical advancement in tourism studies and responsive research addressing contemporary challenges in the industry. Feasibility study to develop tourism competitiveness and attractiveness indicators for destinations in Portugal (OECD, 2024) Upgrading the Injune Museum (Maranoa Regional Council, 2023-2024) Austrade LIVE Framework (Australian Trade and Investment Commission, 2023-2024) Tourism Bushfire Resilience in the Scenic Rim (Department of Industry, Science and Resources, 2022-2024) Transforming international students through experiential learning (Griffith University, 2021) Enriching Tourism to Peripheral Australia: Unearthing Etheridge (Etheridge Shire Council, 2021-2022) Fire memories: gathering stories about the fire impacts and responses to build resilience (QLD Government, 2020-2021) As an educator, Dr. Abreu Novais is passionate about experiential learning, which she incorporates into her various teaching responsibilities. She has supervised numerous doctoral students through completion and currently mentors several PhD candidates working on diverse topics including cultural heritage tourism in augmented reality, gaming-led tourism development, and rural tourism competitiveness. Dr. Abreu Novais leads the Visitor Economy Data Analytics and Indicators research cluster at the Griffith Institute for Tourism, which focuses on developing robust metrics and analytical approaches for destination management. Her team works closely with regional councils, tourism organizations, and government bodies to translate research findings into practical destination management strategies that enhance tourism competitiveness while ensuring sustainability and resilience.
