Toni Rantanen is a Doctoral Researcher at Aalto University in the College of Built Environment. His work focuses on integrating geospatial data with game engine technologies for advanced 3D visualization and analysis of urban environments. Specializes in digital twin applications Active in urban sustainability research Collaborates with the MeMo research group Research Interests Geospatial Data Integration : Developing frameworks for open data standards in urban digital twins 3D Visualization : Creating immersive virtual environments for watershed analysis and lighting simulations Environmental Analysis : Using game engines for change detection and urban park evaluation Interactive Mapping : Designing user-friendly geospatial tools Reality Modeling : Capturing built environment changes through multitemporal data Recent publications demonstrate expertise in urban digital twin development , 3D geovisualization , and game engine applications for environmental research. Collaborative work spans multiple disciplines including urban planning , GIS technology , and virtual reality evaluation .
Richard Eberhardt serves as Program Manager for the MIT Game Lab and instructor for MIT Game Lab classes at the Massachusetts Institute of Technology, where he aligns research projects with staff, equipment, and funding while mentoring student game development initiatives. His operational leadership supports the lab's mission to advance game literacy through interdisciplinary collaboration. His academic credentials include: Bachelor of Arts from the College of William & Mary Serious Games MA Certificate from Michigan State University Professional certifications: Certified Scrum Master PMI Agile Certified Practitioner Eberhardt's research investigates historical representation in games, analyzing how mechanics model historical systems and which narratives are amplified or marginalized in gaming communities. His scholarship spans serious games for mental health awareness, educational applications of VR/AR technologies, and inclusive game jam methodologies, consistently addressing public literacies through civic systems and emotional intelligence frameworks. Analysis of his 2013-2023 publications reveals sustained focus on game-based educational tools across STEM and humanities domains. His work pioneers VR simulations for photonics education, examines historical accuracy in commercial games, and develops inclusive frameworks for collaborative design events. This output demonstrates strategic integration of game mechanics with learning objectives while addressing representation gaps in historical gaming. Notable recognition includes an award for elude , the depression awareness game developed in 2010 for patients' support networks. As a mentor, Eberhardt directs student projects like elude and hosts game jams fostering community collaboration. His Agile-certified project management approach facilitates resource allocation across educational initiatives, though specific grant details remain undisclosed in available materials. The MIT Game Lab operates as his primary research ecosystem, connecting students, faculty, and community partners to explore games' transformative potential in education and social contexts through its Civic Systems, Media & Emotional Intelligence pillar.
Christos Gatzidis serves as Executive Dean of Bournemouth University's Faculty of Science and Technology since October 2023, overseeing six departments including Computing and Informatics, Creative Technology, and Psychology. Previously Deputy Dean (2021-2023) and Head of Creative Technology Department (2016-2021), he was appointed Professor in Creative Technology in November 2019. The Faculty leads five REF Units of Assessment and secures funding from AHRC, NIHR, and Innovate UK for research spanning digital healthcare, gaming technologies, and cultural heritage applications. His educational qualifications include: PhD in Information Science, City University London (2010) PG Cert in Research Degree Supervision, Bournemouth University (2010) MA in Computer Animation, Teesside University (2003) BSc (Hons) in Computer Studies (Visualisation), University of Derby (2002) Professor Gatzidis specializes in computer graphics with research spanning virtual reality, serious games, and digital healthcare applications. His work bridges technical innovation and practical implementation, particularly in mindfulness prototypes for healthcare and stroke rehabilitation systems. Current projects focus on the multidisciplinary application of gaming technologies in medical contexts, emphasizing user experience and therapeutic outcomes through collaborations with industry partners. His publication record (2014-2025) demonstrates evolving expertise from foundational computer graphics research in terrain generation and deformation to applied work in healthcare, cultural heritage, and music education. Key trends include virtual reality for therapeutic mindfulness, usability studies in mobile gaming, and digital cultural presentation techniques, reflecting a trajectory toward socially impactful technological solutions with strong industry translation. No scientific awards are documented in the provided information. He has supervised PhD students and secured competitive research funding, including two Innovate UK Knowledge Transfer Partnerships. His principal investigator role in a virtual reality mindfulness prototype project exemplifies his approach to translating academic research into practical industry solutions, with current focus on expanding knowledge exchange activities to support the University's civic engagement mission. As Executive Dean, he leads faculty-wide research strategy across six departments, fostering interdisciplinary collaborations particularly in digital healthcare and cultural heritage. His personal research integrates computer graphics expertise with clinical applications through partnerships with healthcare providers and technology companies, driving innovation in therapeutic VR systems and educational gaming platforms.
Andy McLennan is a Professor in the School of Economics at the University of Queensland since 2007, following roles at the University of Minnesota (1987–2005) and the University of Sydney. His research focuses on mathematical economics and game theory, with contributions to computational game theory, fixed point theory, and algebraic geometry. Notable collaborations include work with Richard McKelvey on the Gambit software package for game analysis. Education: B.A. in Mathematics from the University of Chicago (undergraduate), PhD in Economics from Princeton University (1982). Prior faculty positions included the University of Toronto and Cornell University. Research Interests: Explores intersections between pure mathematics and economics, including applications of topology (Vietoris-Begle theorem), differential geometry (Morse-Sard theorem), and computational complexity in markets. Recent work includes the 'Index +1 Principle' for equilibrium stability and fixed point index theory. Software & Tools: Co-developed Gambit , a widely used open-source toolkit for analyzing finite games. Authored technical software for solving systems of equations and 3D visualization tools for academic use. Books: Authored Advanced Fixed Point Theory for Economics (Springer, 2018), The Algebra of Coherent Algebraic Sheaves , and The Nature and Origins of Modern Mathematics . Personal: Lives in Brisbane with his partner Shino Takayama (also an economist) and their son Sean. Enjoys Japanese language, classical music, and strategic games like Go and chess.
Dr. João F. Henriques is a Research Fellow at the Royal Academy of Engineering and a core member of the Visual Geometry Group (VGG) at the University of Oxford. His work spans the intersection of machine learning , deep learning , and computer vision , with notable contributions to visual tracking , 3D reconstruction , and robotics . He actively mentors DPhil students and collaborates across disciplines including AI safety , NeRFs , and optimisation . Current Students: Marian Longa, Tim Franzmeyer, Dominik Kloepfer, Yash Bhalgat, Shivani Mall, Lorenza Prospero, Mark Eid Graduated Students: Xu Ji, Mandela Patrick, Shu Ishida, Andreea Oncescu Research Trends from his recent work include advances in 3D scene reconstruction (e.g., Flash3D, GST), robotic adaptation (Rapid Motor Adaptation), and multimodal learning (Text2Loc, SCENES). His publications frequently address theoretical guarantees in unsupervised detection and reinforcement learning for POMDP environments. Scientific Recognition includes: Research Fellow, Royal Academy of Engineering CVPR Best Paper Finalist (2012) for Kernelized Correlation Filters (KCF) SIGBOVIK 2020 Most Timely Paper Award for Deep Industrial Espionage He also develops open-source tools like OverBoard , a Python dashboard for deep learning experiment monitoring, and advocates for preregistration workshops to improve machine learning research transparency.
Rika Hanamitsu is a Professor at the School of Social Sciences, Waseda University, where she teaches courses related to intercultural communication studies. She holds a Doctor of Philosophy degree from Waseda University and is also affiliated with the Center for International Education and the Global Education Center at the university. Education: Doctor of Philosophy from Waseda University Affiliations: Center for International Education, Global Education Center Her research focuses on intercultural communication and applied linguistics, particularly examining how cultural stereotypes, identities, and communication styles are represented in media and literature. She has conducted extensive research on Allen Say's works and their cultural implications, analyzing how they depict multicultural experiences and identity formation. Professor Hanamitsu's educational activities include teaching various courses including 'Seminar III (Intercultural Communication Studies)', 'Exploring Cultures through Film', 'Inter-Cultural Communication', 'Freshman Seminar', and 'Intercultural Communication' in both fall and spring semesters of 2025. Her teaching emphasizes the use of films as educational tools for intercultural understanding and literacy development. She has participated in overseas activities such as attending the Summer Institute of Intercultural Communication at Hope College, University of Michigan in 2002. Her social activities include intercultural communication training using games to develop communication skills, which she has conducted since 2011. International Presentations: 35th IBBY World Congress (2016), Summer Institute of Intercultural Communication (2002) Domestic Conferences: Japan Association for Language Education & Technology, Japan Association of College English Teachers, Japan Society of English Usage and Style Research Projects: Cultural Comparison of Conflict Scenes in Movies and Their Treatment (2005)
Alicia ALLEGRI is a Professor and educational researcher with expertise in Educational Sciences, currently affiliated with the Institute of School Administration (INAS). She holds a bachelor's degree in primary school teaching (2014) and a Master's degree in Educational Sciences (2017), with additional certification in Didactics of Philosophy and Citizenship (2018). Her professional experience includes teaching since 2017 across multiple educational settings: mainstream primary education, special primary education, and special secondary education. At INAS, where she has conducted research since September 2019, her work focuses on developing and validating educational tools and devices for geography education. Dr. Allegri's research examines learning regulation mechanisms, cognitive development, and educational methodologies. Her work integrates cognitive, social, and affective components of learning, with particular attention to self-regulatory strategies in educational contexts. She has developed expertise in 3D-2D representation techniques for educational games and the study of abstraction processes in student learning. Her research portfolio includes studies on decentering processes in children and adolescents, utilizing adapted educational tools like the Animo-déclic® game. Currently, her work centers on supporting teachers through the creation of validated educational resources for geography instruction. Dr. Allegri's professional development includes participation in research projects during her Master's program focused on educational psychology and learning mechanisms, establishing her foundation in evidence-based educational practices.
Jian Zhao is an Associate Professor at the University of Waterloo's School of Computer Science, specializing in Information Visualization (InfoVis), Human-Computer Interaction (HCI), and Data Science. With a Ph.D. from the University of Toronto (2016), his research emphasizes interactive visualization techniques, AI integration in design processes, and socio-technical systems. He explores how human-AI collaboration can enhance data analysis, presentation, and user experience in complex systems. Key research areas include: 1) AI-Driven Design (e.g., code generation via sketching, infographic creation), 2) Health Informatics (therapeutic AI tools for autism support), 3) Immersive Technologies (VR/AR interfaces for presentations and education), and 4) Social Computing (remote family communication, multi-modal emoticons). His work bridges technical innovation with human-centered design principles. His publications (2021–2025) reflect a focus on interactive visualization frameworks (e.g., iTrace for cross-view data analysis), AI-human collaboration (CoLadder for hierarchical code editing), and specialized applications like TherAIssist for art therapy and EMooly for autism support. Zhao frequently explores novel interaction modalities , including gesture-based VR interfaces and sketch-based programming tools. He leads projects in computational notebooks (EDAssistant, Slide4N), visual analytics (MissBin for bipartite networks), and neurofeedback training games (Eggly). His work often emphasizes systematic design considerations for missing data, cross-view analysis, and contextual visualization in spatial AR environments.
Alan Hunter is a Professor in Autonomous Systems at the University of Bath's Department of Mechanical Engineering. He serves as Deputy Head of Department for Workload and Wellbeing and is affiliated with the Water Innovation & Research Centre (WIRC) and the UKRI CDT in Accountable, Responsible and Transparent AI. His research focuses on underwater acoustics, signal processing, imaging, and machine intelligence, with applications in sonar-based remote sensing and marine robotics. Education: B.E. (Hons I) in Electrical and Electronic Engineering from the University of Canterbury (2001), PhD in Synthetic Aperture Sonar (SAS) from the same institution (2006). Career highlights include roles at the University of Bristol (2007-2010), TNO Netherlands (2010-2014), and NATO CMRE (2014). He has led projects on sub-sediment imaging, autonomous mine-hunting systems, and precision navigation algorithms. Research Interests: • Underwater Acoustics & Sonar Imaging • Autonomous Underwater Vehicles • Machine Learning for Acoustic Data Analysis • Non-Destructive Inspection via Ultrasound • Sustainable Coastal Protection (via UN SDG contributions) Active Projects (2023-2025+): - Noise Network Plus : Engineering a Quieter Future (EPSRC) - TESSMEX SR 4 : Naval Mine-Hunting Technology (Defence Lab) - Decision-Making with Ambiguities : Legal AI for Robotics (EPSRC) Professional Affiliations: • Senior Member, IEEE • Associate Editor, IEEE Journal of Oceanic Engineering • Collaborations with NATO, TNO, and UK Defence Orgs. Labs & Teams: • Robotics and Autonomous Systems Lab • Centre for Space, Atmospheric and Oceanic Science • WIRC @ Bath (Water Innovation Hub)
Professor Marios C. Angelides is a full-time faculty member at Brunel University London , serving as Professor of Computing and Divisional Lead within the College of Engineering, Design and Physical Sciences . He leads the Creative Computing Research Group under the Institute of Digital Futures and contributes to the Digital Media department at Brunel Design School. BSc (First Class Honours) and PhD in Computing from the London School of Economics (LSE) Chartered Engineer (CEng) and Chartered Fellow of the British Computer Society (FBCS CITP) His research focuses on Creative Computing , specifically applying Machine Learning , Serious Gaming , and Cognitive Modeling to develop Smart IoT Applications . His work spans autonomous drone fleets for environmental monitoring, cybersecurity middleware for Android systems, wearable technology for lifestyle recommendations, and historical analysis of Alan Turing’s legacy in modern AI. Recent publications highlight trends in deploying Machine Learning for: IoT systems optimization Autonomous aerial/underwater vehicle coordination Deepfake detection using Turing’s Imitation Game Energy allocation in CubeSats via gaming mechanics Scientific recognition includes being Deputy Editor of The Computer Journal and runner-up for the 2016 Oxford University Press Wilkes Award . He has supervised PhD students in topics like Smart Android Middleware for Cybersecurity and Wearable Recommendation Systems , with active involvement in editorial boards and international conferences.
Sebastian Risi is a Professor at the IT University of Copenhagen , where he directs the Creative AI Lab and co-directs the Robotics, Evolution and Art Lab (REAL) . His work bridges computational evolution, deep learning, and collective intelligence for applications in robotics, art, and video game design. His research focuses on self-organizing AI systems that grow or assemble through local interactions, inspired by biological development. Key areas include neuroevolution , neural cellular automata , and generative modeling , with applications in adaptive robotics, game content creation, and damage-resilient AI. Recent publications highlight trends in self-assembling neural architectures (NDPs) and 3D functional machine generation (Minecraft experiments). Awards include ERC Consolidator Grant (2022), Best Paper at FDG’21 , and Google Faculty Award (2019). Scientific Awards : ERC Consolidator Grant (GROW-AI), Best Paper FDG’21, Runner-Up IEEE Games’20, GECCO 2017 Competition Winner, Sapere Aude Grant, Amazon/Google Faculty Awards He advises on projects like GROW-AI (EU-funded), AI-TESTER (game testing), and C2SIM (military systems). Media coverage includes Science , Wired , and Popular Science .
Dr. Todd D. Murphey is a Professor of Mechanical Engineering at Northwestern University's Robert R. McCormick School of Engineering and Applied Science. He serves as Director of Transformative Research and Director of the Master of Science in Robotics Program at Northwestern, leading initiatives in computational dynamics, control systems, and robotics. His work bridges engineering, neuroscience, and biomedical applications, with a focus on developing systems that interact effectively with humans and their environments. Dr. Murphey received his Ph.D. in Control and Dynamical Systems from the California Institute of Technology in 2002, with a thesis titled "Control of Multiple Model Systems." Prior to that, he earned a B.S. in Mathematics, summa cum laude, from the University of Arizona in 1997. Dr. Murphey's research centers on computational methods in dynamics and control, with applications spanning neuroscience, health science, robotics, and automation. His work in the Interactive & Emergent Autonomy Lab focuses on computational models of embedded control, biomechanical simulation, dynamic exploration, and hybrid control. The group develops mathematical approaches that lead to orders of magnitude improvement in computational efficiency for real-time implementation. Key application areas include assistive exoskeleton control, stabilization of energy networks, bio-inspired active sensing, entertainment robots, robotic exploration, and software-enabled stroke rehabilitation. Analysis of Dr. Murphey's recent publications reveals a strong emphasis on human-swarm interaction, algorithmic matter, and control of cyber-physical systems in uncertain environments. His work increasingly integrates information theory with physical systems, exploring how both autonomous and biological systems interact with environments to learn and improve behaviors. Recent trends show growing applications in rehabilitation technology, with particular focus on human-machine interaction in biomedical devices and embodied intelligence. Dr. Murphey has received numerous honors and awards for his contributions to robotics and engineering: Named Director of Transformative Research at Northwestern University (2025) Appointed IEEE Robotics and Automation Society Vice President of Publication Activities (2022) Co-recipient of Best Paper Award for IEEE Transactions on Robotics (2020) Appointed to Air Force Scientific Advisory Board (2019) Recipient of ABB Best Student Paper Award for CPL-SLAM research (2019) Cole-Higgins Award from Northwestern Engineering (2015) Dr. Murphey has supervised numerous graduate students including Taosha Fan, Giorgos Mamakoukas, and Ian Abraham, with research spanning robotic exploration using electrosense and mechanical contact, human-in-the-loop control, and shared control for rehabilitation devices. His lab has secured significant funding from the National Science Foundation, DARPA, and industry partners including Siemens and Ekso Bionics, supporting research in algorithmic matter, emergent behavior, and human-swarm collaboration. The Interactive & Emergent Autonomy Lab, led by Dr. Murphey, investigates how both autonomous systems and biological systems interact with their environments to learn and improve behaviors. Current projects include active learning and data-driven control, active perception in human-swarm collaboration, algorithmic matter and emergent computation, control for nonlinear and hybrid systems, cyber physical systems in uncertain environments, harmonious navigation in human crowds, information maximizing clinical diagnostics, reactive learning in underwater exploration, robot-assisted rehabilitation, and software-enabled biomedical devices. The lab collaborates with researchers across Northwestern and institutions including Georgia Tech, MIT, and industry partners.
Daniele Loiacono is an Associate Professor at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB), affiliated with the Artificial Intelligence and Robotics Lab (AIRLab). His research focuses on interdisciplinary applications of Artificial Intelligence, Machine Learning, and Deep Learning in medical imaging, radiation therapy, and procedural content generation for games. He leads projects in synthetic image generation for radiotherapy quality assurance, automated treatment planning, and bias analysis in medical AI systems. Key research areas include medical image synthesis using GANs, radiation therapy optimization, and algorithmic game design. His contributions span clinical applications such as total marrow irradiation (TMI) planning and lymph-node segmentation, alongside innovations in shader generation and interactive evolutionary tools for game development. Loiacono collaborates on multi-center studies to validate AI-driven workflows in healthcare and has pioneered methods combining lean Six Sigma with machine learning for treatment process improvement. His work bridges clinical medicine and computer science, addressing challenges in radiation oncology, anatomical imaging, and procedural content automation. The AIRLab serves as a hub for his research, integrating AI advancements into real-world medical and engineering solutions.
Overview Prof. Harris Kyriakou is an Associate Professor and Chair Holder of the Media & Digital Chair at ESSEC Business School. His research focuses on leveraging artificial and collective intelligence to enhance organizational value creation, digital strategy, and data-driven decision-making. He has advised multinational firms like Airbnb, Facebook, and Yelp, and his work is supported by grants from NSF and the Spanish government. Education Ph.D. in Management Sciences (Stevens Institute of Technology, 2016) M.S. in Engineering & Technology Innovation Management (Carnegie Mellon University, 2010) B.Sc. in Digital Systems (University of Piraeus, 2007) Research Focus His research explores intersections between AI/collective intelligence, blockchain, sharing economy regulations, and platform governance. Key themes include data network effects, algorithmic regulation, and digital transformation. Recent work on ChatGPT vs. Google examines AI-driven competitive dynamics in search markets. Recognition Awarded the 2024 Case Centre Triple Award, 2022 Early Career Award (AIS), and multiple best paper awards (AoM, INFORMS). Recognized as a 40-Under-40 MBA Professor by Poets & Quants. Teaching & Leadership Co-leads the 'Algorithmic Governance in Platform Economy' thesis Teaches courses on AI, digital strategy, and IT management at ESSEC and IESE Former Assistant Professor at IESE Business School (2016–2021) Professional Contributions Serves as a European Commission advisor on digitalization, reviewer for top journals (MIS Quarterly, Academy of Management Review), and mentor for doctoral candidates.
Dr. Oscar Meruvia-Pastor is a faculty member in the Department of Computer Science at Memorial University of Newfoundland, within the Faculty of Science. He holds a B.Sc. from ITESM-Monterrey, Mexico, an M.Sc. from the University of Alberta, and a Ph.D. from Otto-von-Guericke Universität Magdeburg, Germany. His research focuses on interactive 3D graphics, non-photorealistic rendering, and biomedical visualization, with applications in telepresence systems, augmented reality (AR), and virtual reality (VR). He has developed tools like OMARC for respiratory condition training and GeNET for gene co-expression network analysis. Dr. Meruvia-Pastor has supervised numerous graduate students and contributed to over 50 publications. His work includes evaluating stereo correspondence methods in AR, robot arm manipulation via depth sensors, and smartphone integration in immersive VR. He has been recognized with awards such as the Best HCI Poster at Graphics Interface 2014 and a semi-finalist poster at SIGGRAPH 2015. He teaches courses in computer science, including computer graphics, multimedia development, and introductory science modules. His research lab focuses on 3D telepresence, medical visualization, and human-centered VR/AR solutions. His academic contributions span software tools for medical imaging analysis, interactive visualization systems, and educational technologies. He actively collaborates with health professionals to advance telemedicine and remote procedural training through AR platforms. His work bridges computer graphics with real-world applications in healthcare, education, and environmental advocacy.
