Daniel Livingstone is a researcher at The Glasgow School of Art (GSA) specializing in the application of games and 3D technologies to enhance learning and public engagement. His work spans medical visualization, heritage interpretation, and broader educational technology domains. Current PGR supervisee: Shaojie Ni (AR & Gamification in Museums) Email: D.Livingstone@gsa.ac.uk Research Themes : Serious games, virtual reality, 3D anatomical modeling, disease education, digital heritage preservation, and AI-driven simulations. Highlights include AR tools for rheumatology engagement, VR applications in diabetes management, and digital reconstructions of historical surgical instruments. Article Trends : Focus on merging immersive technologies with healthcare education, heritage storytelling, and interdisciplinary applications of game engines. Recurring keywords: Augmented Reality , 3D Visualization , Medical Education , Public Health , Virtual Environments .
Dr Paul Widdop is a Professor in Sport Business at Manchester Metropolitan University's Business School. He holds a PhD from the University of Manchester and is a core member of Edinburgh University's Academy of Sport. His research focuses on the economic networks and geopolitical dimensions of sport, employing social network analysis to explore relational dynamics in consumption and production. Widdop has authored 11 books including 'The Business of the FIFA World Cup' and 'Handbook of Football Business and Management', alongside over 40 peer-reviewed articles. Education: PhD in Social Change & Statistics (University of Manchester), MSc in Social Research Methods & Statistics (University of Manchester). Research Interests: Geopolitical economy of sport, social network analysis methodologies, sport policy, fan culture, and global sport networks. He examines intersections between economics, politics, and sociology in sport contexts. Professional Affiliations: Reviews Editor for the Journal of Consumer Culture, Mitchell Centre member (University of Manchester), co-founder/Chair of the Football Collective research community. He actively engages in policy briefs addressing sport's societal impact, including responses to the pandemic's effects on grassroots football. Awards: None explicitly listed, though his editorial roles and research contributions highlight professional recognition. Advising/Grants: No specific grants listed, but his prolific publications and policy engagement indicate active research collaboration. Advises through academic mentorship in sport business and management. Labs/Teams: Leads the Football Collective, a vibrant academic network studying football's socio-economic impacts. Collaborates with institutions like the Mitchell Centre for Social Network Analysis.
Terence O'Neill serves as Professor and Director of the Centre for Data Analytics at Bond University. He established the University Centre in Actuarial and Financial Big Data Analytics to position Bond University as a significant player in the Big Data and Analytics research space. His research interests span applied statistics, big data, economic models, forecasting, and finance. He has published widely in Statistics, Applied Mathematics, Biostatistics, Bioinformatics and Finance, producing over 80 articles with at least 20% in A* ranked journals. His interdisciplinary work uniquely bridges financial analytics with biomedical research, particularly in spleen biology and hematopoiesis. Analysis of his recent publications reveals a strong focus on financial wellbeing among elderly Australians, housing tenure impacts, and financial literacy. His work demonstrates methodological rigor in statistical modeling applied across diverse domains from retirement planning to cellular biology. Professor O'Neill has secured substantial research funding, including ten large Australian Research Council grants totaling $2.99 million, with nine since 2003. He served as lead Chief Investigator on five of these projects and collaborated on seven other externally funded grants. His current research projects include an ARC Linkage Grant on retirement savings drawdown ($267,230), a Discovery Grant on climate change investigations ($300,000), a study of Australian Government securities market ($430,000), and research on political connections ($210,000). His future research interests will focus on data analytics/big data, both theory and application.
Christopher Thomas Ryan is an Associate Professor in the Operations and Logistics Division at the UBC Sauder School of Business. He holds a PhD and BA from UBC in Management Science and Mathematics, respectively. His research spans optimization theory, game theory, theoretical economics, video game design, and pedagogy for business education. He has held positions at the University of Chicago Booth School of Business and is affiliated with the Colibri Learning Foundation. Education: BA (Mathematics) and PhD (Management Science) from UBC; BA (Sociology and Economics) from University of Guelph. He has authored numerous textbooks and case studies, including works on research careers, operations management, and teaching methodologies. His work integrates human-centric approaches to operations and education systems. Research Interests include small business operations, education operations, theoretical economics, and the design of video games. He has published in top journals like Management Science, Econometrica, and Mathematical Programming. His grants include SSHRC and NSERC awards. Ryan advises students across multiple institutions and has mentored prominent faculty in marketing, operations, and MIS fields. Teaching focuses on core operations management for MBA programs and pedagogical innovation. He has developed cases on AI in education, early childhood development, and small business sustainability. Ryan’s work bridges academic research with practical applications in business and education sectors.
Károly Takács is Professor at Linköping University's Institute for Analytical Sociology. He holds a Ph.D. from University of Groningen and has held positions at Corvinus University of Budapest, Collegium Budapest, Netherlands Institute for Advanced Studies, and University of Brescia. He founded and led the Research Center for Educational and Network Studies at Hungarian Academy of Sciences. His research examines social networks in relation to cooperation, conflict, and reputation systems, with particular focus on gossip mechanisms and ethnic discrimination in educational contexts. He currently leads an ERC Consolidator Grant investigating how gossip influences reputation and cooperation across different social environments. Takács' publications develop theoretical frameworks for understanding reputation-centered cooperation and empirically test mechanisms through experiments, network analysis, and large-scale studies in educational settings. His work combines analytical modeling, experimental methods, and advanced network analysis techniques.
Steven Brams is a Professor of Politics at New York University's Department of Politics within the College of Arts & Science. His research focuses on game theory, social choice theory, fair division, voting systems, and international politics. He holds a B.S. from MIT (1962) and a Ph.D. from Northwestern University (1966). Brams' work emphasizes fair allocation mechanisms, including envy-free division algorithms, voting system reforms, and rule design in sports and conflict resolution. He has collaborated extensively with researchers like D. Marc Kilgour and Mehmet S. Ismail on topics such as fair shootouts in soccer, equitable chess openings, and gerrymandering solutions. Education: B.S., Massachusetts Institute of Technology, 1962 Ph.D., Northwestern University, 1966 His research explores how game-theoretic models can address real-world problems, such as improving voting systems, resolving disputes, and enhancing fairness in sports. Notable contributions include the 'Catch-Up' rule for service sports and the 'Excess Method' for multiwinner approval voting. Awards: American Association for the Advancement of Science Fellow (1992) Guggenheim Fellow (1986–1987) Russell Sage Foundation Visiting Scholar (1998–1999) Elinor Ostrom Prize (2013) Brams has advised on electoral reforms and contributed to policy discussions on fair division in international conflicts, such as the Spratly Islands dispute. His interdisciplinary work bridges mathematics, political science, and philosophy, addressing both theoretical and applied challenges in decision-making.
Natalia Andrienko is a Professor of Computer Science at City University London and Lead Scientist in the Knowledge Discovery department at Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme. Her work bridges visual analytics with mobility data science and machine learning, focusing on human-in-the-loop systems for pattern discovery and spatiotemporal data exploration. Professor, Computer Science, City University London (2013-present) Lead Scientist, Knowledge Discovery, Fraunhofer Institute (1997-present) Research interests center on visual analytics methodology for spatiotemporal data, human-centered machine learning, and mobility pattern analysis. She develops frameworks for interactive dashboards, trust visualization in ML, and semantic exploration of location-based data, with a focus on scalable and privacy-respecting techniques. Her recent publications investigate hybrid human-machine discovery of movement patterns, contextual visual analytics for multivariate events, and the integration of temporal periodization with spatial analysis. Articles emphasize applications in sports analytics, transportation systems, and collaborative visual analysis workflows. Key collaborations include work with Gennady Andrienko and Salvatore Rinzivillo. She has contributed to journals like Visual Informatics , IEEE Transactions on Visualization and Computer Graphics , and International Journal of Cartography , maintaining active research output across visual analytics, mobility science, and geospatial data modeling.
Stig Arve Sæther is a Professor of Sports Science at the Department of Sociology and Political Science, Norwegian University of Science and Technology (NTNU), Faculty of Social and Educational Sciences. His research focuses on talent development, elite sports, and sports psychology, with specific emphasis on transitions from junior to senior elite, stress, perfectionism, and coach-athlete relationships. He leads the research group Skill and Performance Development in Sports and School (SPDSS) and the NTNU Sports Network. Primary research areas: Talent development environments, dual careers, relative age effects, and athlete stress Ongoing projects: Female athlete development, Norwegian football club mergers, international youth football environments, senior transitions in school sports, and destructive leadership in sports Collaborations: Rosenborg Ball Club, Kristiansund Ball Club (NEAS Academy), Norwegian Handball Association, Norwegian Ice Hockey Association Editor-in-Chief: Scandinavian Journal of Sport and Exercise Psychology His recent research explores gender differences in talent environments (handball/ice hockey), parental impacts on biathlon transitions, and communication barriers around menstrual cycles in female football. With 60+ international journal articles and multiple books, his work bridges academic rigor and practical sports insights. Media presence spans 200+ TV/radio/podcast appearances (TV2 Sporten, NRK, GameChanger) and newspapers (Wall Street Journal, Aftenposten). Key students include Max Bergström (PhD) and 46+ master’s graduates. Awards not explicitly mentioned, but his editorial and research group leadership highlight institutional recognition.
Stephen Lee-Urban is a Teaching Associate Professor in the Department of Computer Science & Engineering at Lehigh University, affiliated with the Rossin College of Engineering. He holds a Ph.D., M.S., and B.S. in Computer Science and Engineering from Lehigh University, all completed with summa cum laude distinction. His research focuses on fundamental and applied artificial intelligence, machine learning, game AI, cognitive systems, and automated planning. He has contributed to innovative projects such as HuManIC (human-machine interpretive control), CORA (cognitive systems framework), and crowdsourced narrative generation systems. His academic career includes significant work in cybersecurity through intelligent agent modeling of malware, as well as contributions to game AI for strategy games and military training simulations. Notable awards include summa cum laude honors for all three of his university degrees. Lee-Urban's scholarly output spans over 20 publications since 2000, with recent emphasis on AI applications in collaborative storytelling, adaptive planning systems, and human-computer interaction. His research integrates machine learning techniques with sociocultural analysis, crowd-powered content creation, and hierarchical task networks. Current work explores autonomous systems capable of leveraging crowd intelligence for generating interactive narratives and optimizing military training scenarios. While no specific grants or advising roles are listed, his interdisciplinary approach bridges computer science with game design, cybersecurity, and cognitive modeling.
Ali Khan is an Assistant Professor of Information Systems at NEOMA Business School. He holds a PhD in Digital Technology (MIS) from Queen's University (Canada, 2022), followed by a postdoctoral research stint before joining NEOMA. His research focuses on digital threats (e.g., fake news), digital professionalism, and gamification within organizational contexts. He has published in top-tier journals like the Journal of Information Technology and European Journal of Information Systems, and actively reviews for leading conferences and journals. Research Interests: Digital Threat Mitigation, Gamification Frameworks, Fake News Analysis, Digital Professionalism Teaching Expertise: Digital Technologies, Digital Business Models, Digital Organizations His work bridges theoretical insights with practical applications, addressing modern challenges in digital media and organizational behavior. Recent contributions emphasize structural approaches to gamification and methodological advancements in analyzing digital misinformation. Awards: Distinction Award (2014 International Conference on Management) Dr. Khan collaborates with industry partners through NEOMA's research initiatives, including the VISTA-AR project on tourism experience digitization and BluePrint Intao (Enedis) on organizational flexibility. He has advised multiple academic conferences and contributes to pedagogical innovations in digital education.
Bryce Kanago is an Associate Professor of Economics at the University of Northern Iowa (UNI). He has been with the Economics Department since 2000, starting as an Assistant Professor and advancing to his current rank by 2005. His research focuses on macroeconomics, economic history, and econometrics, with notable work on supply shocks, sports economics, and historical financial dynamics. Research interests include the analysis of real GDP and price deflators, the historical impact of major events on economic systems, and the application of econometric models to understand economic behavior. His work often explores the intersection of economic theory with empirical data, particularly in contexts such as sports economics, international finance, and the effects of inflation and uncertainty on economic outcomes. His recent publications include studies on the comovement of GDP and price deflators during the Great Moderation, the competition for leisure dollars in early 20th-century America through MLB's lens, and analysis of supply shocks in OECD countries. Earlier work delves into historical exchange rates during WWII and inflation uncertainty dynamics. No scientific awards or grants are explicitly mentioned in the provided texts. Advising details and lab affiliations remain unspecified.
Arlen C. Moller is an Associate Professor and Director of Undergraduate Programs in the Department of Psychology at Illinois Institute of Technology since 2013. He leads the Motivation Science and Digital Health Lab , supervising students across multiple degree programs including Clinical Psychology (Ph.D.) and Game Design. Education: Ph.D. in Social Psychology (2007) - University of Rochester B.A. in Psychology (2000) - Cornell University His research focuses on digital health interventions that promote physical and mental wellness through motivation science and self-determination theory , particularly examining how digital technologies like wearable monitors, video games, and extended reality can be designed to support intrinsic motivation and behavioral change . This work spans multiple domains including occupational health , human-computer interaction , and game design . Current research trends include: Developing digital tools that balance competition mechanics with psychological needs Understanding social identity influences on health behaviors Examining long-term effects of extrinsic rewards on motivation Implementing self-determination theory in healthcare settings Creating peer-to-peer mental health support systems Optimizing digital behavior change through autonomy support Dr. Moller collaborates with institutions such as the Center for Self-Determination Theory , Society of Behavioral Medicine , and University of Lisbon's PANOS*SR Research Group . His lab team includes three Ph.D. candidates investigating specific applications of their research.
Imke Reimers serves as an Associate Professor of Strategy and Business Economics at Cornell University's Charles H. Dyson School of Applied Economics and Management, while concurrently volunteering with the Ithaca College women's tennis team for the 2024-25 season. Education: Bachelor's in Mathematics and Economics (institution unspecified in source text) PhD in Economics from the University of Minnesota (2013) Her research integrates economic theory with business strategy, emphasizing applied economic analysis in organizational decision-making and market behavior. This interdisciplinary approach bridges quantitative economic modeling with practical business applications. Scientific Awards: Two-time Academic All-American (University of Nebraska-Lincoln) Reimers maintains dual professional engagement in academia and athletics, having previously served as a volunteer assistant coach at the University of Minnesota women's tennis program. She has successfully mentored junior players who progressed to Division I collegiate tennis programs at institutions including Nebraska, Cal Berkeley, and Gonzaga.
Professor Joseph Baker is a faculty member at the School of Kinesiology and Health Science, York University, specializing in optimal human development and athlete expertise. His research examines psychosocial and environmental factors in athletic skill acquisition, talent identification, and aging in sports. Institution: York University School: School of Kinesiology and Health Science Academic Rank: Professor Research Interests His work spans high-performance athlete development , Masters athlete aging studies , relative age effects , and talent wastage . He investigates how environmental constraints and practice structures influence expertise, with applications in para-sport and life-long physical activity . Publication Trends Recent studies focus on early specialization in hockey, talent selection policies , and psychological drivers of athlete longevity. Collaborations include analyses of physical load in handball, self-regulated learning in training, and barriers to sports participation for older adults. Students & Funding He mentors 15+ graduate students and has secured funding from Social Sciences and Humanities Research Council of Canada , Sport Canada , and Canadian Institutes of Health Research . His team explores topics like paralympic pathways , coach decision-making , and genetic/environmental interactions in performance.
Anthony Clark is an Assistant Professor of Computer Science at Pomona College, where he has been teaching since 2020. Previously, he served as an Assistant Professor at Missouri State University from 2016 to 2020. He directs the ARCS (Autonomous Robotics and Complex Systems) Lab, which focuses on improving the robustness and adaptability of autonomous robots, particularly small-scale systems that can navigate unpredictable terrain and adapt to potential damage. Clark earned his Ph.D. in Computer Science from Michigan State University in 2016, where he worked under Dr. Philip K. McKinley, and his B.S. in Computer Engineering from Kansas State University, graduating magna cum laude. His research centers on making autonomous robots more robust and adaptive through optimization algorithms and multimodal systems. He specializes in evolutionary robotics, computer vision, neural networks, and simulation methods for developing control systems that leverage multiple locomotion mechanisms. His recent work demonstrates strong trends across several domains: developing hybrid locomotion systems (wheel/leg transformations), applying deep learning to terrain classification and pathfinding, using simulation environments for training, and exploring pretraining techniques for evolutionary robotics. His research shows a consistent focus on bridging simulation and real-world applications while addressing challenges in robot adaptability and robustness. Faculty Excellence in Teaching, Missouri State University (2018) Best Paper Award, Workshop on Evolutionary and Reinforcement Learning (2013) Best Paper Award, ALIFE Conference, Behavior and Intelligence Track (2012) Outstanding Reviewer, Elsevier (2018) Master Advisor Certification, Missouri State University (2017) Clark has advised numerous undergraduate and graduate students through the ARCS Lab, with current research involving projects like the Adabot (a robot with multiple locomotion mechanisms) and thermal semantic segmentation for aerial field robots. His teaching portfolio includes courses on data structures, algorithms, neural networks, computer systems, and mobile robotics. He has also served as a Visiting Associate at Caltech's ARC Lab from 2023-2024, working with Dr. Soon-Jo Chung. The ARCS Lab develops simulation environments, optimizes control systems, and fabricates physical robots. Current projects include the Adabot with its geared coaxial shaft mechanism for hybrid locomotion, thermal semantic segmentation using satellite data, and creating dynamic simulation environments with Unreal Engine 5. The lab emphasizes practical applications of theoretical research while training students in both hardware and software aspects of robotics.
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