Benjamin Larkin is an Academic Dean of Management and Marketing and Co-Director of the Girard School of Business at Merrimack College. His research bridges technology, media consumption, and sports, analyzing modern consumer behavior in sports fandom and digital engagement. Ph.D. in Management from UMass Amherst M.S. in Sport Management from Southern New Hampshire University B.S. in Business Administration from the University of Maine His work focuses on Consumer Behavior , Sport Marketing , and the Intersection of Sport and Politics , particularly how technology alters traditional sports consumption patterns. Recent studies examine identity conflict in politically engaged fans, dehumanization of athletes, and the psychological impact of fantasy sports. Key trends in his publications include brand attachment , fan loyalty dynamics , collective narcissism , and media-driven consumer behavior in sports contexts. North American Society for Sport Management Research Fellow, 2024 Outstanding Professional Paper Award, Sport Marketing Association, 2018 Ph.D. Program Research Award, Isenberg School of Management, 2017 Larkin advises students in sports marketing and consumer behavior research. His work has been supported by grants from the Sport Marketing Association and Isenberg School of Management.
Dr. Marcel Dettling is a Group Lead in Data Analysis and Statistics at the ZHAW School of Engineering , focusing on predictive analytics, applied statistics, and complex data analysis. He also serves as a Lecturer at ETH Zurich , teaching advanced statistical methods. Education : PhD in Mathematics (2000-2004), ETH Zurich Postdoc in Applied Statistics (2004-2006), Johns Hopkins University His research spans predictive analytics (regression, classification, time series), data mining, and applications in health economics, transportation safety, social sciences , and business analytics . Recent work includes pharmaceutical cost group analysis for Swiss healthcare and predictive maintenance for marine vessels. Selected publications highlight his expertise in flight trajectory modeling , deep learning error mitigation , and statistical frameworks for rehabilitation finance . His projects address diverse fields like crowdworking in nursing, energy optimization for shipping, and customer behavior prediction.
Dr. Abdelhak Bentaleb is an Assistant Professor in the Department of Computer Science and Software Engineering at Concordia University and founder/director of the IN2GM Lab. His research focuses on optimizing networked multimedia systems using machine learning, with emphasis on video streaming, edge computing, and 5G/6G networks. He holds a PhD from the National University of Singapore (awarded SIGMM and DASH-IF Best Thesis prizes) and completed a postdoctoral fellowship there. Education: PhD in Computer Science, National University of Singapore (2019) Postdoctoral Research Fellowship, National University of Singapore (2019-2022) Research Interests: AI-driven video streaming optimization, low-latency media delivery, network protocols, immersive media technologies, and IoT systems. Current projects explore end-to-end AI-enabled systems for QoE optimization in video delivery using reinforcement learning and deep learning techniques. Awards: SIGMM Award for Outstanding PhD Thesis DASH Industry Forum Best PhD Dissertation Award Multiple DASH-IF Excellence Awards His work includes over 50 publications in top venues (e.g., ACM MMSys, IEEE INFOCOM, USNIX NSDI) and 3 patents. The IN2GM Lab focuses on applied AI/ML solutions for networked systems challenges.
Mia Consalvo is a Professor and Canada Research Chair in Game Studies & Design at Concordia University. She serves as Graduate Program Director in Communication Studies and directs the Concordia Centre for Technoculture, Art and Games. Her research focuses on game studies, qualitative methods, new media, and popular culture. Education: BA in Communications, Lyndon State College MA in Communications, University of Washington PhD in Mass Communications, University of Iowa Her recent work analyzes livestreaming platforms like Twitch, socio-economic class in gaming, feminist approaches to game studies, and the intersection of mental health with game environments. She has published extensively on game design, player culture, and digital labor. Scientific Awards: Canada Research Chair in Game Studies & Design She supervises thesis projects in Media Studies (MA) and Communication (PhD) programs, emphasizing collaborative research and critical analysis of games as cultural artifacts.
Professor Maia Angelova is a leading academic in data science and mathematical physics at Aston University's Aston Digital Futures Institute (ADFI) and College of Engineering and Physical Sciences. Her research focuses on interdisciplinary AI applications in healthcare, including precision medicine, chronic disease modeling, and athlete performance analytics. She previously held roles as Professor of Data Analytics at Deakin University (2017–2023) and Professor of Mathematical Physics at Northumbria University (1997–2016), with early experience as a College Lecturer at Oxford University (1991–1996). Education: PhD, MSc, and BSc in Physics from Sofia University 'St. Kliment Ohridski'. Research interests span AI-driven healthcare solutions, dynamical systems modeling, and sports performance analysis. Her work addresses sleep disorders, diabetes management, chronic pain, and athlete performance using advanced machine learning and data analytics. She has secured over £5M in research funding and supervised over 30 PhD students and postdoctoral researchers. Awards include Fellowship of The Institute of Physics. Professional memberships include The London Mathematical Society, Australian Mathematical Society, and Complex Systems Society. Key achievements include founding the Data to Intelligence research centre (2018–2020) and leading large-scale interdisciplinary projects. Current initiatives focus on precision healthcare through AI integration in clinical decision-making systems.
Dr. Jules Rawlinson is a Senior Lecturer in Digital Design at the Reid School of Music , University of Edinburgh. He serves as Programme Director for the MSc Sound Design and contributes to MSc Design and Digital Media, ESALA undergraduate courses, and the Reid School's MSc Digital Composition and Performance. PhD in Composition (University of Edinburgh, 2011) MSc Sound Design (University of Edinburgh, 2006) BA Combined Arts (Sunderland University) Jules investigates audiovisual composition , live electronics , and interactive performance systems , blending machine learning , virtual environments , and corpus-based sound synthesis . His work explores non-linear narrative structures , graphical scores , and political sound-art through collaborations like Raw Green Rust and projects such as Lie Still My Sleepy Fortunes and w[i]nd . His 15 most recent outputs span audiovisual installations , generative sound systems , and collaborative performances , focusing on virtual reality , spectral transformation , and digital improvisation . Jules co-founded the LLEAPP network and has secured grants from EPSRC and New Media Scotland's Alt-w Fund . He supervises PhD students Tim Bentley, Hal Xu, Benjamin Cantil, and Liam Peacock, with works showcased at festivals including Sonorities , Edinburgh International Film Festival , and Edinburgh Festival Fringe . His Requiem for Edward Snowden was featured in BBC Radio 3's Hear and Now and selected for Creative Scotland's Made In Scotland Showcase.
Gerald Voorhees is an Associate Professor and Chair of Communication Arts at the University of Waterloo. He holds a Ph.D. from The University of Iowa (2008) and a B.S. in Speech Communication from the University of Texas at Austin, where he was a Senior Fellow in the Honors Program of the College of Communication. His research explores games and new media as platforms for identity and cultural construction, with a focus on public discourse around gaming and rhetorics of race and ethnicity. Dr. Voorhees has held significant academic roles, including Vice-President of the Canadian Game Studies Association and former membership on the Executive Board of the Digital Games Research Association. He previously taught at Oregon State University and developed the Game and Interactive Media Design track at High Point University. His teaching spans communication theory, media studies, and game design, with courses such as DAC 204 (Game Design) and COMMST 430 (Communication and Social Justice). His research integrates critical theory with digital media analysis, examining topics like gender representation in games, neoliberal masculinity in esports, and racial dynamics in gaming cultures. He has co-edited influential volumes such as Masculinities in Play (2018) and Feminisms in Play (2018), contributing to foundational discussions in game studies. His recent work addresses intersectional feminism in gaming and the cultural implications of shooter game genres. Dr. Voorhees actively engages with professional organizations and academic publishing, serving as co-editor of the Approaches to Game Studies book series (Bloomsbury) and managing editor of the Gender in Play trilogy (Palgrave Macmillan). His scholarship bridges theoretical frameworks with empirical analysis, shaping interdisciplinary dialogue on digital media's societal impact.
Konstantinos Pelechrinis is an Associate Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. He holds a Ph.D. in Computer Science from the University of California, Riverside. His research focuses on network science, urban informatics, and sports analytics. He has been recognized with the Army Research Office Young Investigator Award for his contributions. Education: Ph.D. in Computer Science, University of California, Riverside Research Interests: Urban mobility patterns and infrastructure analysis Sports performance quantification and strategy Data-driven decision-making in transportation systems Network science applications in social and urban systems His recent work explores topics such as implicit biases in sports refereeing, anomaly detection in NFT markets, and optimizing bike-sharing systems using predictive models. He also investigates urban infrastructure resilience through projects like the Epui platform for experimental urban informatics. Awards: Army Research Office Young Investigator Award He contributes to academic outreach through courses like TELCOM2125 (Network Science and Analysis) and collaborates on initiatives like the Healthy Ride Pittsburgh bike-sharing study. His lab focuses on bridging theoretical models with real-world urban and sports datasets.
Emiliya Lazarova is a Professor of Economics and Head of the School of Economics at the University of East Anglia (UEA). She chairs the Royal Economics Society’s Conference of Heads of Departments of Economics. Her research focuses on coalition formation, matching theory, and applied economics, with recent projects analyzing technological innovation via patent data, biodiversity market measurements, and international environmental agreements. She has held academic roles at the University of Birmingham and Queen’s University Belfast, teaching quantitative courses like Applied Econometrics and topics in applied microeconomics. Her research interests include coalition dynamics, social housing allocation, and the political economy of environmental policies. Current projects with Dr. Yuan Gao include developing an ex-ante novelty index for inventions and studying biodiversity valuation mechanisms. Lazarova has secured grants from the Royal Economic Society and British Academy, focusing on property rights and economic development in emerging economies. Her work bridges theoretical models and empirical applications, addressing issues like firm behavior under political pressure, patent innovation cycles, and disability discrimination impacts. Collaborations span institutions globally, reflecting her interdisciplinary approach to economic challenges. Advisory roles include supervising PhD students on topics such as status-seeking in matching markets and conflict resolution via coalition theory. Her teaching expertise complements her research, emphasizing quantitative methods and policy analysis.
Ashish Thatte serves as Associate Professor of Operations Management at Gonzaga University, teaching undergraduate courses including Operations Management (OPER 340), Lean Thinking (OPER 347), and Supply Chain Management (OPER 489), alongside graduate courses such as Global Operations (MBUS 640), Lean Thinking (MBUS 648), and Supply Chain Management (MBUS 699). His industry background encompasses manufacturing management and supply chain/logistics roles in multinational corporations. His academic credentials feature a Ph.D. and M.S. from the University of Toledo, complemented by an M.B.A. and B.E. from the University of Pune (India), plus APICS CPIM certification: CPIM, APICS Ph.D., University of Toledo M.S., University of Toledo M.B.A., University of Pune (India) B.E., University of Pune (India) Dr. Thatte's research centers on supply chain responsiveness, competitive advantage, and information systems in operations, with significant extensions into consumer behavior (particularly Gen Z purchasing in beauty care) and healthcare operations (emergency department efficiency and medical procedure cost analysis). His work bridges theoretical frameworks with practical applications across manufacturing, retail, and healthcare sectors. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Supply chain responsiveness mechanisms and their competitive impact through supplier networks and modular manufacturing; (2) Cross-cultural consumer behavior examining regional variations in brand perception; (3) Healthcare operations optimization in emergency departments and procedural cost-effectiveness. His interdisciplinary approach connects operations theory with real-world business challenges across automotive, sports analytics, and global consumer markets. No scientific awards were documented in the available information. While the provided materials confirm his teaching responsibilities and publication record, specific details regarding student advisement, research grants, or laboratory affiliations remain undisclosed in the source materials.
Julian Berger is a postdoctoral researcher at the Max Planck Institute for Human Development in the Center for Adaptive Rationality , where he explores how to enhance decision-making through hybrid human-AI systems. He is also a fellow of the Joachim Herz Foundation and has received funding from the Foundation of German Business and the Danish Data Science Academy. Education: M.A. Psychology in Business and Economics, Universidade Catolica Portuguesa (2021) B.A. Politics, Administration and International Relations, Zeppelin Universität (2018) His research spans human-AI collaboration , collective intelligence , and interpretable machine learning . A recurring theme in his work is developing methods to combine human expertise with AI capabilities for accuracy in domains like medical diagnostics , credit scoring , and football analytics . He has authored publications in high-impact venues such as PNAS , Nature Human Behavior , and Science and Medicine in Football . Scientific awards and funding include: Fellowship for interdisciplinary economics, Joachim Herz Foundation (2024) PhD funding from the Foundation of German Business (Stiftung der deutschen Wirtschaft) Research grant from the Danish Data Science Academy His recent article trends emphasize ensembling techniques that leverage complementary human and AI errors, algorithmic fairness, and practical heuristics like Hybrid Confirmation Trees. These works demonstrate significant improvements in diagnostic accuracy and decision cost-efficiency. Beyond academia, Berger works as a consultant and ML engineer with Simply Rational , focusing on interpretable models for financial and sports analytics. His work bridges theoretical research with real-world applications, prioritizing fairness, transparency, and human accountability in AI systems.
Matthew Stephenson is a Lecturer at Flinders University's College of Science and Engineering, specializing in Artificial Intelligence applications for games. He leads the Data for Decisions initiative within the Factory of the Future Transdisciplinary Hub, focusing on AI-powered scenario generation for smart digital twins. Additionally, he is a member of IRL CROSSING, an international lab studying human-autonomous agent teaming dynamics. PhD in Computer Science (Australian National University, 2019) B.Sc.(Hons) in Computer Science (University of Canterbury, 2015) His research applies AI, Machine Learning, and Data Science to game domains, including intelligent agent development for physics-based environments, procedural content generation, and game analytics. He also investigates deceptive behaviors in multi-agent systems and leverages games as testbeds for real-world AI solutions. Recent publications focus on large language models for game benchmarking, physical reasoning challenges, and evolutionary game generation. Scientific awards include an honourable mention at Foundations of Digital Games (FDG'18). He supervises students in procedural generation, game AI, and physics-based task creation, with teaching roles in computational intelligence and neural networks courses.
Professor Christian Deutscher is a prominent sports economist at Bielefeld University's Faculty of Psychology and Sport Science, specializing in the Department of Sport Science within Division V - Sport and Business. As both Research Officer and Internationalization Officer, he leads significant work in sports economics, particularly focusing on betting markets, match-fixing detection, and sports integrity. His research has attracted funding from major institutions including the German Research Foundation. Deutscher's research interests span sports economics, betting market efficiency, match-fixing detection, sports management, and the business aspects of professional sports. His work combines advanced statistical modeling with practical applications in sports integrity monitoring. He has extensively analyzed live betting markets, Bundesliga economics, and the impact of technological innovations like VAR in football. His research often examines the intersection of sports performance, economic incentives, and market behavior. Analysis of his recent publications reveals a strong focus on empirical studies of sports betting markets, particularly live and in-play betting dynamics. His work demonstrates sophisticated use of state-space models and other advanced statistical techniques to detect market inefficiencies and potential integrity issues. Deutscher frequently collaborates with statisticians and economists to develop warning systems for match-fixing, with particular attention to German football leagues. His research bridges theoretical economics with practical applications in sports governance. Professor Deutscher actively contributes to the European Sport Economics Association (ESEA), having edited special issues of conference proceedings and serving in editorial capacities. His work has been published in leading journals including Journal of Sports Economics, Economic Inquiry, and Applied Stochastic Models in Business and Industry. As Research Officer for the Faculty of Psychology and Sport Science, Deutscher oversees research initiatives and international collaborations. His current projects include data-based fraud detection in live betting markets, funded by the German Research Foundation across multiple phases. He also serves on various university committees including the Quality Improvement Commission and Examination Board for the Department of Sport Science. Deutscher maintains strong connections with sports organizations and betting industry stakeholders, ensuring his research has practical relevance for sports integrity monitoring. His work on betting market inefficiencies has direct applications for regulatory bodies seeking to protect the integrity of sporting competitions.
Matt Denny is a Teaching Fellow in Film & Television Studies at the University of Warwick's Faculty of Arts, where he also serves as Widening Participation and Outreach Officer. He convenes core modules including Visual Cultures, Transnational Action Cinema, and Film Analysis and Methods for both undergraduate and postgraduate students, while acting as primary contact for SMLC Joint Honours students. He earned his First Class BA, MA for Research, and PhD (2016) all in Film and Television Studies from Warwick. His doctoral thesis examined film authorship and postmodern cinema, establishing foundations for his ongoing research trajectory. Denny's research centers on Film Theory with emphasis on authorship and representation, Contemporary Hollywood Cinema specializing in action genres, British Horror Cinema including folk horror and gothic traditions, and Film-Philosophy exploring post-structuralism and posthumanism. His work consistently examines intersections between genre conventions, philosophical frameworks, and contemporary socio-technological concerns. His 15 most recent publications reveal strong thematic continuity in folk horror studies, posthuman representations, and genre theory. Denny frequently analyzes how horror and science fiction reflect contemporary anxieties about technology, identity, and temporality, with recurring focus on folk horror's resurgence and AI's philosophical implications in cinema. Denny actively contributes to academic communities through memberships in The Fear Network, British Association of Film, Television and Screen Studies (BAFTSS), and International Gothic Association. His public engagement includes podcast appearances on Gender and AI, Eavesdropping at the Movies, and TRT World discussions about Scorsese and Marvel cinema. Though previously conducting research primarily in personal time without institutional funding, Denny now benefits from 10% research allocation under Warwick's new workload model. He has presented at numerous international conferences while maintaining significant teaching responsibilities across multiple course levels. Denny leads departmental outreach initiatives and collaborates with Warwick's Institute of Advanced Studies through The Fear Network. His interdisciplinary approach connects film studies with philosophy, gender studies, and emerging technologies through projects like the Genetics: Science and Society module with IATL.
Tridas Mukhopadhyay is the Deloitte Consulting Professor of e-Business at Carnegie Mellon University's Tepper School of Business, where he has served on the faculty since 1986. His academic journey at CMU progressed from Instructor of Information Systems (1986-1987) to Assistant Professor (1987-1993), Associate Professor (1993-1997), Professor (1998-present), and Deloitte Consulting Professor of e-Business (2000-present). He also served as Director of the MS in Electronic Commerce program from 1999-2004. Ph.D. in Computer and Information Systems, University of Michigan–Ann Arbor, 1987 M.B.A. in Computer and Information Systems, Indian Institute of Management Calcutta, 1981 B. Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1978 Professor Mukhopadhyay's research spans multiple critical areas in information systems and technology management. His work on strategic IT use examines how organizations derive business value from information technology investments. He has conducted extensive research on business-to-business commerce, particularly focusing on e-procurement systems, web-based marketplaces, and electronic intermediation models. His cybersecurity research investigates the economic aspects of cyber security, including liability mechanisms and patch release strategies. In software engineering, he has studied productivity, quality metrics, and offshore software development contracts. His most recent publications reveal several key trends in his research trajectory. There's a growing focus on digital platform economics, examining advertising models, virtual currency systems in gaming, and sharing economy dynamics. His work increasingly incorporates behavioral aspects, studying how users respond to personalized content and how backers exert control in crowdfunded projects. Methodologically, his research employs sophisticated analytical approaches including hierarchical Bayesian models, structural equation modeling, and natural experiment designs. CART Research Frontier Award, Carnegie Mellon, 2005 Distinguished Ph.D. Alum, Michigan Business School, 2004 Best Paper, International Conference on Information Systems, 2001 Best Paper, MIS Quarterly, 1995 Xerox Research Chair, Tepper School of Business, 1988-1989 Information Systems Society Distinguished Fellow, 2012 Professor Mukhopadhyay has served on numerous editorial boards including Information Systems Research (1994-2003), Management Science (1999-2003), and MIS Quarterly (1997-1999), demonstrating his significant contributions to the field. His consulting work with major organizations including Alcoa, Chrysler, Ford, General Motors, IBM, and governmental agencies like the United States Post Office and Pennsylvania Turnpike has provided practical insights that inform his academic research. He has been actively involved in university governance through committee service including the Business Technology Faculty Search Committee and the CMU Faculty Senate. His research has been supported through various industry partnerships and academic grants, though specific grant details aren't provided in the source material. His teaching focuses on Business Computing and Strategic IT courses, reflecting his expertise in both foundational information systems concepts and strategic applications of technology in business contexts.
