Aurelio Ureña Espa is a Professor at the University of Granada, affiliated with the Faculty of Sports Sciences and the Department of Physical Education and Sports. His work focuses on volleyball training, biomechanics, and athletic performance. Specializes in volleyball systems, training load monitoring, and technical-tactical analysis Develops methodologies for youth volleyball and dual career development Researches injury prevention, kinematic analysis, and game dynamics Recent publications examine systemic game components in volleyball, workload monitoring, and adaptations in junior matches. He also investigates emotional regulation, academic demands in student-athletes, and digital learning platforms for sports education. His work spans biomechanical studies on jump landings, setter action ranges, and tactical indicators in elite volleyball teams. Teaching activities include tutoring at the University of Granada, with schedules detailed for both semesters. No explicit scientific awards or student advising lists are mentioned in the provided texts.
Steven L. Johnson serves as Associate Professor of Commerce and Area Coordinator for Information Technology & Innovation at the University of Virginia School of Commerce. He also holds significant leadership positions as Faculty Lead of the Digital Technology for Democracy Lab at the University of Virginia Karsh Institute of Democracy and Faculty Affiliate for the Thriving Youth in a Digital Environment research initiative. His academic journey includes a Ph.D. in Information Systems from the University of Maryland, an MBA from The College of William & Mary, and a B.S. in Computer Science from the same institution. Ph.D., Information Systems, University of Maryland M.B.A., The College of William & Mary B.S., Computer Science, The College of William & Mary Professor Johnson's research adopts a sociotechnical systems perspective examining how digital technology intersects with people, processes, and data to impact individuals, organizations, and society. His work spans online communities, social media, open innovation, and the application of social network analysis and computational linguistics to study team dynamics. He investigates critical societal issues including content moderation, algorithmic bias, echo chambers, filter bubbles, and the ethical implications of AI. His ongoing collaborations explore how digital technology supports democracy through information distribution and discovery, its role in healthy youth development, and methods to minimize bias while promoting fairness in AI deployments. His research has appeared in top journals including MIS Quarterly, Organization Science, Information Systems Research, Information, Communication & Society, and Information & Organization. Analysis of his publication trends reveals a consistent focus on the societal implications of digital technology, with increasing attention to AI ethics, content moderation, and democratic processes in recent years. His methodological approach combines computational social science with network analysis to examine large-scale digital interactions. Professor Johnson has received numerous prestigious awards recognizing his scholarly contributions: Association for Information Systems Distinguished Member, Cum Laude (2021) University of Virginia Research Achievement Award (2021, 2022) MISQ Best Paper Award (2020) AOM OCIS Division Best Conference Paper Award (2018) Prix académique de la recherche en management (2015) As an educator, Johnson has taught numerous undergraduate and graduate courses covering systems and strategy, business analytics, information technology management, and specialized topics including Managerial View of AI and Race in Commerce. He has provided significant service to the academic community as Associate Editor at Information Systems Research, previously at MIS Quarterly, and as Senior Editor at Information & Organization. He serves on the executive committee of the Communication, Digital Technology, and Organizations division of the Academy of Management and was Program-Chair Elect for the 2025 Annual Meeting. His community engagement extends beyond academia through roles as Commissioner on the Charlottesville Economic Development Authority and involvement with local organizations including the Fifeville Neighborhood Art Gallery. Professor Johnson leads the Digital Technology for Democracy Lab at the Karsh Institute of Democracy, which examines how digital technology supports democratic processes through information distribution and discovery. He is also affiliated with the Thriving Youth in a Digital Environment research initiative, investigating how youth benefit from or are harmed by digital environments. His technical infrastructure contributions include operating the cville.online Mastodon server and managing the Fifeville air quality monitor.
François Pottier is a senior researcher at Inria in Paris, France, where he leads the Cambium research team. He is affiliated with the Gallium research group and has maintained an active research profile spanning several decades in programming languages and formal methods. His research focuses on programming languages , particularly functional programming and OCaml, type systems design and implementation, program verification using separation logic, and compiler construction . His work bridges theoretical foundations with practical implementation, evidenced by numerous open-source software tools he has developed. Pottier's publication record shows consistent contributions to top programming languages conferences (POPL, ICFP, ESOP) with recent work emphasizing separation logic frameworks, resource analysis, and formal verification of OCaml systems. His research demonstrates a clear trajectory from foundational type theory toward practical verification techniques for real-world programming languages. He has advised numerous PhD students including Remy Seassau, Tiago Soares, Clément Allain, and Alexandre Moine, among others, many of whom have gone on to research positions at institutions like New York University, Imperial College London, and Inria itself. Pottier maintains active service roles in the programming languages community as a member of IFIP Working Group 2.8 on Functional Programming and IFIP Working Group 2.16 on Language Design, and serves on program committees for major conferences including upcoming roles for JFLA 2026 and ITP 2026. He leads the Cambium research team at Inria, which focuses on programming language theory and implementation, particularly around OCaml and formal verification. The team develops both theoretical frameworks and practical tools that have influenced the broader programming languages ecosystem.
Shen-Shyang Ho is a Full Professor in the Department of Computer Science at Rowan University's College of Science & Mathematics. His work spans machine learning, data mining, and edge computing with applications in urban mobility, precision agriculture, and data privacy. He leads NSF-funded research projects on dynamic graph analysis and spatiotemporal anomaly detection. Ph.D. in Computer Science, George Mason University Post-Doctoral Associate, Caltech & NASA JPL B.S. in Mathematics with Computational Science, National University of Singapore Research expertise includes graph-based machine learning, conformal prediction, cooperative inference, and privacy-preserving ML. Current work focuses on federated learning for edge devices and anomaly detection in evolving systems. He has developed tools like SplitTracer for cooperative inference evaluation and ParkGauge for urban mobility monitoring. Recent publications highlight his contributions to 2026 Pattern Recognition journal (martingale-based graph analysis), 2025 IEEE ICAIC conference (blockchain gas optimization), and 2024 ACM SAC symposium (shared mobility systems). His work integrates machine learning with real-world constraints across energy grids, transportation, and agricultural technology. NSF Grant (2022) for Dynamic Graph Anomaly Detection NSF Grant (2018) for Spatiotemporal Analysis Google Scholar Classic Paper Recognition (2017) for 2006 Radar Micro-Doppler Study Professional memberships include the Association for Computing Machinery (ACM). His teaching portfolio ranges from introductory programming to advanced ML courses. He previously held positions at Nanyang Technological University before joining Rowan in 2016.
Dr. Bo Li is an Assistant Professor in the Department of Applied Physiology and Sport Management at Southern Methodist University (SMU), where he has been affiliated since 2021. He previously held faculty positions at Miami University (OH) and St. Ambrose University, and brings extensive industry experience as a former sports journalist covering Olympic Games and FIFA World Cups. Ed.D., University of Arkansas His research focuses on digital media and mass media in sports contexts, particularly branding and consumer behavior dynamics. His scholarly work has been published in leading outlets such as Sport Management Review , Communication & Sport , and International Journal of Sport Marketing and Sponsorship . Recent publications reveal a strong emphasis on social media impact (Instagram, Twitter/Weibo), cross-cultural audience behavior , and emerging technologies (Web3, blockchain) in sports branding. Articles span topics like Olympic fan motivation differences, ephemeral content strategies, and naturalized athlete reception analysis. Professional accolades include recognition for the 2021 article Tell Me a Story by the American Academy of Advertising. He serves on the editorial board of Communication & Sport and co-edited two major books on sports administration and pandemic impacts.
Professor John Quiggin is a prominent Professor of Economics at the University of Queensland's School of Economics within the Faculty of Business, Economics and Law. He holds the position of Professorial Research Fellow and is affiliated with the Centre for Behavioural and Economic Science. With over 1500 publications including six books and more than 200 refereed journal articles, Quiggin is recognized both as a leading research economist and a significant commentator on Australian economic policy. His research spans multiple fields including decision theory, environmental economics, production economics, and economic growth theory. Quiggin's work has particularly focused on climate change economics, micro-economic reform, privatisation, employment policy, and management of the Murray-Darling river system. His influential books include Zombie Economics: How Dead Ideas Still Walk Among Us (translated into eight languages with over 20,000 copies sold) and Economics in Two Lessons: Why Markets Work so Well and Why They Can Fail So Badly (2019). Analysis of his recent publications reveals a strong focus on contemporary economic challenges including climate policy, income support systems, market dynamics, and critiques of neoliberal economic frameworks. His work demonstrates consistent engagement with both theoretical economic questions and practical policy applications, with increasing attention to climate change economics and alternative economic frameworks in recent years. Fellow of the Econometric Society Fellow of the Academy of the Social Sciences in Australia Distinguished Fellowship of the Economics Society of Australia Distinguished Fellowship of the American Agricultural Economics Society Distinguished Alumni awards from University of New England and Australian National University President of the Australian Agricultural and Resource Economics Society Professor Quiggin has supervised numerous PhD students across topics including energy transition, vehicle efficiency, trade models, and climate change impacts. His research has been supported by multiple Australian Research Council grants spanning economic complexity, black swan events, climate adaptation, and sustainable reform of water systems. He has served on the Boards of the Queensland Competition Authority and Climate Change Authority, demonstrating significant policy engagement. Quiggin maintains active public engagement through his influential economics blog, contributions to major international publications, and participation in the Crooked Timber group blog.
Ryen W. White is a Partner Research Director and Deputy Lab Director at Microsoft Research in Redmond, leading the LEAP research area (Language, Learning, Audio, Privacy) and engineering organizations. He holds an Affiliate Professor position at the University of Washington , where he contributes to academic research while maintaining his industry leadership. Research focuses: Information Retrieval, Human-Computer Interaction, Computational Health Key projects: AutoGen multi-agent systems, WHAM for gameplay ideation, action engine frameworks His work emphasizes user-centered search systems , privacy-preserving personalization , and advanced interaction paradigms . Recent publications analyze long-term behavioral modeling, decision biases in search, and next-generation search interfaces, spanning subfields like implicit feedback mechanisms , task completion algorithms , and generative AI applications . Scientific honors include: ACM Fellow (2021) Tony Kent Strix Award (2022) ASIST Best Information Science Book Award (2017) SIGIR Test of Time Awards (2010, 2022) BCS Distinguished Dissertation Award (2005) As Workshop Chair for HCIR series and Program Chair for SIGIR 2017, he has shaped research agendas through community-building initiatives. His book Interactions with Search Systems established foundational principles for exploratory search interfaces and privacy-aware information access .
Leonard A. Kahn currently serves as the Dean of the College of Arts and Sciences and Professor of Philosophy at Loyola University New Orleans. He also holds the ex officio position of Gerald N. Gaston Distinguished Professor in Religion & Science. Prior to joining Loyola, Kahn taught in the Department of Philosophy at the U.S. Air Force Academy in Colorado Springs, Colorado, and served as the 2021-2022 Donald and Beverely Freeman Fellow at the U.S. Naval Academy's Stockdale Center for Ethical Leadership. Kahn completed his DPhil at Oxford University (Magdalen College) under the supervision of Derek Parfit and Roger Crisp. His academic journey includes being a Post-Doctoral Research Fellow at the University of Calgary, a Visiting Scholar at both the Yale University Center for Bioethics and the Hastings Center for Bioethics, and a Visiting Lecturer at the University of North Carolina at Chapel Hill and the University of Reading in the UK. His primary research focuses on moral theory and applied ethics , particularly the ethics of technology and just war theory . Kahn's teaching portfolio spans political philosophy, philosophy of law, philosophy of mind and action, feminist philosophy, and both decision and game theory. He has taught courses including Ethics, Making Moral Decisions, Philosophy of the Human Person, Seminar: Matters of Life and Death, Philosophy and Feminism, Seminar: The Ethics of War, Global Ethics, and Ethics and Artificial Intelligence. Analysis of Kahn's 15 most recent publications reveals a consistent focus on applied ethical dilemmas across multiple domains. His work spans military ethics (particularly just war theory and autonomous weapons systems), technology ethics (especially AI and cybersecurity), medical ethics, and political philosophy. A recurring theme throughout his scholarship is the application of consequentialist frameworks to contemporary ethical challenges, with particular attention to how theoretical principles translate to real-world decision-making in complex situations. Donald and Beverely Freeman Fellow at the U.S. Naval Academy's Stockdale Center for Ethical Leadership (2021-2022) Editor of John Stuart Mill's On Liberty (Broadview Editions, 2014) While specific information about his advisees is not provided in the available materials, Kahn's extensive teaching experience across numerous philosophy courses suggests significant mentorship of undergraduate students. His position as Dean of the College of Arts and Sciences at Loyola University New Orleans places him at the center of academic administration, where he oversees faculty development, curriculum design, and strategic planning for the university's liberal arts programs. Kahn's research appears to be supported through academic fellowships such as his Naval Academy appointment, though specific grant details are not mentioned in the provided materials. Kahn maintains active scholarly engagement through his editorial work (including co-editing Consequentialism and Environmental Ethics with Avram Hiller and Ramona Ilea) and contributions to edited volumes on topics ranging from autonomous vehicles to medical deportation. His professional affiliations include connections with major bioethics centers (Yale, Hastings) and military education institutions (U.S. Naval Academy, U.S. Air Force Academy), reflecting the interdisciplinary nature of his work at the intersection of philosophy, technology, and public policy.
R. Venkatesh is a Professor of Business Administration at the Katz School, University of Pittsburgh , where he has been affiliated since 1996. His research focuses on pricing, product bundling, cobranding, new product strategies, and sales management with applications in high technology, digital goods, and the entertainment industry. Education : PhD (University of Texas at Austin), MBA (Indian Institute of Management, Ahmedabad), BEngg (University of Madras, India) Grants : Katz Institute of Industrial Competitiveness Research Grant Research Interests span pricing strategy, product bundling, and strategic marketing in digital and high-tech markets. His work integrates theoretical models with real-world applications, addressing challenges in dynamic consumer behavior and competitive firm strategies. Scientific Awards include: AMA Service SIG Best Services Paper Award Journal of Interactive Marketing Best Paper Award Katz School Excellence in MBA Teaching Award Executive MBA Worldwide Sao Paulo Distinguished Professor Award Professional Experience includes prior marketing and sales roles at Robert Bosch GmbH’s Indian subsidiary. Recent Publications analyze temporal bundling, brand alliances, and pricing optimization, contributing to journals like Management Science , Marketing Science , and Journal of Marketing Research .
Richard E. Wendell is a Professor of Business Administration at the Joseph M. Katz Graduate School of Business, University of Pittsburgh. His academic focus spans Management Science , Decision Analytics , and Data Envelopment Analysis (DEA) , with expertise in Sensitivity Analysis , Facility Location , and Project Management . He has held faculty positions at Ohio State University, Carnegie-Mellon University, and Rensselaer Polytechnic Institute, alongside research fellowships at institutions like the Center for Operations Research and Econometrics in Belgium and Argonne National Laboratory. Education : PhD in Operations Research (Northwestern University, 1971), MS in Industrial Engineering (University of Pittsburgh, 1966), BS in Industrial Engineering (University of Pittsburgh, 1965) His research, supported by National Science Foundation grants, includes over 60 papers in journals such as Management Science , Operations Research , and Mathematical Programming . Key publication trends include DEA methodology , linear programming sensitivity , and global optimization techniques . Scientific Awards : Distinguished Professor award (Executive MBA), University of Pittsburgh Faculty Honor Roll, multiple Katz Excellence-in-Teaching awards Wendell has advised numerous academic and industry projects, with consulting engagements at companies like Johnson Matthey Inc., Promistar Financial Corporation, and Duquesne Light. His work bridges theoretical advancements in operations research with practical applications in business analytics and risk management. Outside academia, he enjoys traveling, making wine, working out, and dancing.
Paul Peter Hager serves as an Assistant Professor in the Department of Statistics and Operations Research at the University of Vienna, where he teaches courses including Linear Algebra and Applied Optimization. Previously, he held a junior research group leader position at Technische Universität Berlin. His research centers on: Mathematical Finance Machine Learning Stochastic Control Mean-Field Games Fractional Processes Gaussian Multiplicative Chaos Volatility Modeling Hager pioneers applications of rough path signatures in financial mathematics, developing novel frameworks for stochastic control and calibration problems. His work bridges theoretical probability with practical machine learning implementations, particularly in volatility modeling using fractional processes and log-correlated fields. Recent publications reveal a dominant trend in signature-based methods for optimal stopping and mean-field games, with significant contributions to fractional Brownian motion theory. His collaborative work with leading researchers like Peter Friz and Christian Bayer consistently targets high-impact journals in applied probability and financial mathematics. Dr. Hager maintains active research collaborations and has delivered invited talks at institutions including KAUST, focusing on computational implementations of signature methods in finance.
Maciej Nawrocki is a Polish philologist, cultural historian, and game expert at SWPS University in Krakow, affiliated with the Interdisciplinary Faculty and the Department of Humanities . His research focuses on cultural texts, particularly literature and digital games, analyzed through narrative and discourse frameworks, alongside studies in the history of ideas, ideologies, and the culture of laughter and play. Academic Rank: Lecturer Specializations: Discourse analysis, Popular culture, Horror studies Nawrocki's scholarly work explores intersections of digital games with narrative theory, as seen in his 2024 article on Baldur’s Gate III. His earlier publications examine Polish literary history, military symbolism, and comparative literature. He is a member of the Centre for Threat Research at Jagiellonian University and a recipient of the Foundation for Polish Science's 'Monographs' competition award. Teaching Roles: Courses on critical game analysis, poetics of digital games, and scientific writing. Scientific Awards: Winner of 'Monographs' competition (Foundation for Polish Science) His recent research trends emphasize digital humanities, historical narratives, and the cultural significance of play and horror. At SWPS, he contributes to interdisciplinary studies bridging media, literature, and cultural discourse.
Karim Elasri is an Associate Professor of Finance at KEDGE Business School and Associate Researcher at CERGAM (Aix-Marseille Center for Management Studies and Research). He holds an engineering degree from Polytech Nancy and a PhD in Economics, Finance, and International Business from Aix-Marseille University with additional academic experience at Chalmers University (Sweden). Education : Engineering degree (Polytech Nancy), PhD (Aix-Marseille University), Academic exchange (Chalmers University) Research Focus : International finance, investment strategies, innovation strategy, and international business. His work connects behavioral biases with financial markets, explores co-creation in digital industries, and analyzes liquidity management in banking crises. Recent Publications : Examines AI adoption in auditing, Silicon Valley Bank's liquidity challenges, service co-creation models, and 5G frequency allocation policies. His research spans equity portfolio behavior, electric vehicle battery production, and distribution channel conflicts across global industries. Teaching Areas : Applies expertise in financial analysis to case studies covering stock market games, banking strategies, and international corporate positioning.
Professor Steve Halfyard serves as Head of BMus programmes at the Royal Conservatoire of Scotland, holding a professorial position while teaching critical modules on Music History and Performance Practice after 1900, Film Music, Television Music, and Music in the Horror Film. They coordinate the Public Performance Project for fourth-year BMus students and instruct the BMus4 Research Paper, guiding advanced academic research in music performance and scholarship. Education: BSc in Music (First Class Honours) from City University (1997) MA in experimental music theatre from the University of Birmingham (1991) PhD in experimental music theatre from the University of Birmingham (1997) Steve Halfyard's research centers on music in horror, supernatural, and superhero films and television, with deep expertise in extended vocal technique and experimental music theatre. Their work investigates how music constructs narrative meaning, evokes emotional responses, and shapes cultural interpretations within visual media, particularly focusing on cult television and genre films through interdisciplinary frameworks bridging musicology, film studies, and cultural theory. Recent publications demonstrate a concentrated exploration of horror and fantasy genres, with articles between 2020-2023 examining the intersection of music with abject theory, uncanny aesthetics, and sympathetic monstrous figures. This body of work reveals consistent methodological rigor through close textual analysis combined with horror studies frameworks, highlighting evolving scoring practices in contemporary television and film while establishing foundational scholarship in niche areas like vampire film scoring and supernatural sound design. Awards: Long Mr Pointy for best book in Whedon Studies (2010) for "Music, Sound and Silence in Buffy the Vampire Slayer" Short Mr Pointy award (2016) for chapter in "Sounds of Fear and Wonder" As Head of BMus, Steve Halfyard mentors undergraduate students through research papers and performance projects, fostering scholarly and practical skills. Their supervision extends to the Public Performance Project where students develop public-facing artistic outputs. While specific grant details aren't documented here, their editorial leadership on the Palgrave Handbook series and sustained publication record indicate significant research funding engagement. Current projects on HBO's television legacy and Game of Thrones music further demonstrate active scholarly momentum.
Natalia Vélez serves as an Assistant Professor at Princeton University, where her research bridges cognitive science and social dynamics to investigate the foundations of human collaboration. Her work examines how individuals and communities combine limited knowledge and resources to achieve collective outcomes greater than individual capabilities. Her educational foundation includes: Ph.D. from Stanford University Dr. Vélez's research program focuses on the cognitive architecture and social ecology of collaboration. At the micro-level, her lab studies how individuals learn about collaborators, share knowledge, and distribute labor through behavioral experiments with children and adults. At the macro-level, she investigates community-wide dynamics using large-scale dataset analyses. Her methodological toolkit integrates Bayesian cognitive modeling , functional neuroimaging (fMRI) , and computational simulations to build unified theories of collaborative behavior. Analysis of her 15 most recent publications (2023-2024) reveals three dominant research trajectories: 1) Computational models of social cognition in collaborative contexts, 2) Empirical investigations of effort valuation and responsibility attribution in teams, and 3) Interdisciplinary applications of AI to understand human cooperation. Her work consistently bridges theoretical cognitive science with real-world collaborative challenges, emphasizing the interplay between individual mental processes and group-level phenomena. Dr. Vélez currently advises graduate students Bella Fascendini, Ham Huang, and Chantal Valdivia. Her research program demonstrates sustained funding through methodologically sophisticated projects spanning cognitive neuroscience, behavioral economics, and artificial intelligence, though specific grant details aren't provided in source materials. She directs the Princeton CoLab, an interdisciplinary research hub that combines experimental psychology, computational modeling, and neuroimaging to study collaboration. The lab fosters methodological innovation through projects examining virtual community dynamics, embodied AI agents, and neural correlates of social learning, positioning itself at the intersection of human cognition and collective intelligence research.
