Mickaël Bettinelli is an Associate Professor at Université Savoie Mont Blanc, affiliated with the LISTIC laboratory. He holds a PhD in Computer Science (Distributed Artificial Intelligence) from Université Grenoble Alpes and previously worked as a postdoctoral researcher at the University of Oulu's Center for Ubiquitous Computing under the EU Horizon 2020 Fractal project. Current research focuses on federated learning and distributed systems resilience Developed DonatelloPyzza, an educational Python gridworld game Active reviewer for journals/conferences including IEEE Transactions and AAMAS His research bridges federated learning, multi-agent systems, and collective intelligence, emphasizing societal impact through sustainable technological solutions and science popularization via his French YouTube channel DonatelloPyzza . Publications span topics like decentralized decision-making and bias mitigation frameworks. Scientific Awards Prix 'Coup de coeur', Concours Conter et Rencontrer les Sciences 2024 Best Paper Award at JFSMA 2021
Marina Danckaerts is a Professor at the Faculty of Medicine at KU Leuven, affiliated with the Department of Neuroscience and active in the field of Developmental Psychiatry and ADHD research. Her research focuses on: Behavioral and emotional responses in ADHD Sleep disorders and interventions for adolescents with ADHD Attachment theory and instrumental learning in neurodevelopmental conditions Youth mental health service design Invisible disability representation in technology Post-trauma rehabilitation for refugee youth Recent publications highlight her work on: Sleep hygiene and cognitive-behavioral interventions for ADHD adolescents Behavioral persistence and reinforcement mechanisms in ADHD Comparative analysis of youth and professional perspectives on mental health services Game design applications for ADHD teenagers Impact of dopamine pathways on ADHD-attachment controversies She serves as: Co-promotor in 8 active research projects (2024-2030) Promotor for refugee family mental health research Member of KU Leuven Brain Institute (LBI) and Institute for Child and Youth (LC&Y) Participant in criminological sciences councils and psychology program committees Teaching contributions: Course coordinator for multiple child psychiatry modules (codes E0J45A, E0CR3A, etc.) Focus on evidence-based medicine, communication skills, and clinical practice in youth psychiatry
Prof. Vicente Carabias-Hütter is a full Professor at the Zurich University of Applied Sciences (ZHAW), Winterthur, where he heads the Research Group "Sustainable Energy Systems and Smart Cities" and serves as Coordinator of the cross-institute "ZHAW Platform Smart Cities & Regions". Since 2013 he also lectures in Technology Foresight within the School of Engineering. Education & Continuous Learning MSc ETH in Environmental Sciences, ETH Zurich (1996–2000) Certificate of Advanced Studies in Management Education, ZHAW (2014) Continuing-education certificates in foresight, scientific writing & team leadership, JRC-IPTS (2011–2014) Research Interests Carabias-Hütter’s work integrates sustainable energy systems , smart-city innovation , and technology foresight . He investigates socio-technical transitions at neighbourhood, city and regional scales, combining participatory scenario development, behavioural energy research, and living-lab experimentation. Key themes include: Co-creation of smart-city visions and pathways Community-centred energy interventions (apps, games, social norms) Life-cycle and social sustainability assessment of emerging energy technologies Policy-oriented foresight to support the Swiss Energy Strategy 2050 and EU grand challenges Publications & Knowledge Outputs From 1997 to 2021 he (co-)authored 28 peer-reviewed journal articles plus numerous book chapters and policy briefs. Recent outputs (2018-2021) reveal a shift from methodological foresight papers toward empirical, intervention-based studies that evaluate digital community platforms, game-based energy savings, and integrative smart-city governance frameworks. Scientific & Professional Service Principal investigator or co-lead on >20 Swiss and EU projects (PEDvolution-WIN, Swiss Smart City Outreach, Living Labs Interfaces, etc.) Advisor to MSc programmes in Environment & Natural Resources and in Engineering at ZHAW Member of Future City Alliance, Smart City Hub Switzerland, EELISA European alliance Active reviewer for SNF Ambizione and various EU framework programmes Labs, Teams & Networks He leads the Team Sustainable Energy Systems within the ZHAW Institute of Sustainable Development and co-steers the WinLab Winterthur living-lab infrastructure. He also coordinates interdisciplinary teams across the ZHAW Platform Smart Cities & Regions, linking engineering, social sciences, and digital technologies.
Morgane Chevalier is an Associate Professor at Vaud Teacher Training College (HEP Vaud) working within the Media, Digital Uses and Computer Science Teaching unit (UER MI). She specializes in multimedia pedagogical engineering, combining project management with e-learning scripting. Her work bridges educational theory and practical implementation of digital technologies in classroom settings, with particular focus on primary education. With prior experience teaching in primary schools in Seine-Saint-Denis (France), working in human resources in Montreal (Canada), and teaching in the Canton of Vaud, Chevalier brings diverse perspectives to her academic work. She holds a Master's degree in e-learning from IPM, Lille 1 and is currently pursuing a MAS in 'Theories, practices and training devices for teachers' to refine her understanding of institutional and social contexts of teacher training in French-speaking Switzerland. Her research interests focus on three complementary areas: online homework implementation in blended learning environments and fostering teacher communities of practice; how e-learning supports teacher professionalization; and robotics as a medium for knowledge, specifically examining how classroom robot integration impacts student learning and teaching practices. She is particularly interested in emerging communities of practice around educational technology. Analysis of her recent publications reveals a strong emphasis on educational robotics as a vehicle for developing computational thinking in primary education. Her work consistently explores scaffolded learning approaches, intervention methods, and teacher perspectives on implementing robotics in classrooms. A recurring theme is the development of models to help teachers identify relevant computational thinking concepts during different phases of educational robotics activities. Chevalier serves in several organizational roles including as an Associate HEP Professor, delegate of the intermediate body to the HEP Council, delegate of the Specialized Pedagogy Study Commission, and scientific collaborator at EPFL's LSRO. She is also a member of the educanet2 Community. Her teaching spans Bachelor primary programs, MASPE education, and continuing education courses covering image creation and processing, media education, Thymio II robotics, and flipped classroom methodologies. She collaborates extensively with EPFL researchers, particularly on projects involving the Thymio educational robot, and has developed frameworks for creative computational problem solving through robotics. Her work demonstrates a commitment to translating research into practical classroom applications while supporting teacher development in the digital age.
Ronald Stuart Burt is a Senior Professor of Organization Design at Bocconi University, Milan, specializing in the intersection of social network theory and organizational behavior. His research examines how network structures—particularly structural holes and brokerage positions—influence information flow, innovation, and performance in complex organizations. His core research interests include Social Network Analysis, Structural Hole Theory, Organizational Behavior, and Network Brokerage. Burt investigates how individuals and teams leverage network positions for competitive advantage, with recent work focusing on bridge supervision dynamics, the role of shared language in team networks, and cross-cultural network phenomena like guanxi. His theoretical contributions bridge sociology and management science, emphasizing empirical validation of network effects. Analysis of his 2022-2024 publications reveals sustained focus on structural holes as conduits for information control, with expanding applications to team performance, cross-cultural business networks, and cooperative behavior. Key trends include methodological refinements in network causality testing, integration of linguistic elements into network analysis, and contextual extensions to Chinese business practices. His work consistently appears in premier outlets like American Journal of Sociology and Academy of Management Journal , demonstrating interdisciplinary reach across sociology, management, and economics.
Dr Daniel Joseph is a Senior Lecturer at Manchester Metropolitan University , specializing in digital sociology and the political economy of digital culture. His work intersects technology, labor, and cultural production. Education: PhD in Communication and Culture (2017, Toronto Metropolitan & York Universities), MA in Communication and Culture (2012), BA in History & Communication Studies (2009, Wilfrid Laurier University) Research interests include: Political economy of platforms and digital capitalism Gamblification, loot boxes, and monetization in games Platform governance and advertising dependency Cultural policy and digital sovereignty Class struggle in digital labor Teaching involves unit leadership in Digital Society (undergraduate) and Digital Global Society (MSc in Digital Society). Recent publications analyze geopolitical economies of esports, platform capitalism, and digital labor across global and national app store contexts.
Faiz Hamid serves as an Associate Professor in the Department of Management Sciences at Indian Institute of Technology Kanpur. With a Ph.D. in Decision Sciences & Information Systems from IIM Lucknow (2012) and a B.Tech. in Computer Science and Engineering from Institute of Engineering & Management (2007), he brings strong technical and analytical expertise to his academic position. His research interests span Operations Research, Combinatorial Optimization, Network Optimization, and Data Science, with particular focus on transportation systems, pandemic response modeling, and revenue management applications. Dr. Hamid's scholarly work demonstrates consistent publication in high-impact journals including European Journal of Operational Research, Omega, Transportation Research, and IEEE Transactions on Signal Processing. His recent publications reveal a strong trend toward applying optimization techniques to real-world problems, particularly addressing pandemic-related challenges in transportation systems and developing sophisticated mathematical models for railway operations. His 2024 edited volume 'Optimization Essentials: Theory, Tools, and Applications' demonstrates his leadership in the field. Ph.D. Thesis recognized as runner-up for 2014 Best Dissertation Award by The INFORMS Technical Section in Telecommunications Best Paper Award at COSMAR 2010 Doctoral Conference, Indian Institute of Science, Bangalore Professor Dipak C Jain Best Paper Award at IMR Doctoral Conference 2010, IIM Bangalore Silver Medal, National Mathematics Olympiad 2002 Dr. Hamid has advised numerous students and collaborated extensively with researchers globally, particularly in transportation optimization problems. His professional journey includes industry experience as Associate Functional Architect at JDA Software and post-doctoral research at Telecom SudParis, France, before joining IIT Kanpur's faculty.
Annette Majnemer is a Professor at McGill University's School of Physical and Occupational Therapy within the Faculty of Medicine and Health Sciences. She serves as a Senior Scientist at the Research Institute of the McGill University Health Centre (IR-MUHC), where she is affiliated with both the Child Health and Human Development Program and the Center for Evaluative Research in Health. Her academic career is firmly rooted in pediatric rehabilitation science, with particular emphasis on understanding and improving outcomes for children with developmental disabilities. Dr. Majnemer's research program focuses on child, adult, and environmental factors that influence activity limitations and participation restrictions in children and youth with developmental disabilities. She has particular expertise in studying children born at high risk of impairment, including preterm survivors and children with congenital heart disease, as well as those with cerebral palsy. A significant portion of her recent work has centered on knowledge translation and exchange strategies designed to promote best practices in early identification of impairment and adoption of effective rehabilitation interventions. She leads the CHILD-BRIGHT Network, a pan-Canadian patient-oriented research strategy targeting children with brain-based disorders, which represents one of the most significant collaborative efforts in childhood disability research in Canada. Her publication record demonstrates a strong trajectory in childhood disability research, with recent work increasingly focusing on innovative approaches to rehabilitation service delivery, including telehealth, digital interventions, and gamification strategies to enhance participation. The breadth of her research spans from basic understanding of developmental trajectories to implementation science examining how to effectively integrate evidence into practice. Her work consistently emphasizes patient and family engagement, recognizing the critical importance of incorporating the perspectives of children with disabilities and their families in research design and service development. Dr. Majnemer has been instrumental in developing and evaluating coaching interventions for parents of children with developmental delays, examining how to optimize leisure participation for children with disabilities, and creating tools to measure inclusion in community settings. Her work on the Child Community Health Inclusion Index represents an important contribution to the field's ability to assess and improve community participation for children with disabilities. Through her leadership of the CHILD-BRIGHT Network and numerous collaborative research projects, Dr. Majnemer has established herself as a central figure in Canadian childhood disability research, bridging clinical practice, research, and policy to improve outcomes for children with disabilities and their families across the country.
Stanislav Anatolyev serves as Full Professor of Economics at the New Economic School (NES) since 2009 and holds an Associate Professor position at CERGE-EI in Prague. Affiliated with NES since 2000, he teaches advanced econometrics courses including Econometrics 3, Applied Time Series Econometrics, and Selected Chapters in Econometrics. Education PhD in Economics, University of Wisconsin-Madison (2000) MSc in Economics, New Economic School (1995) Specialist Diploma in Applied Mathematics, Moscow Institute of Physics and Technology (1992) Research Focus : Professor Anatolyev's work centers on econometric theory with expertise in method of moments, time series modeling, and high-dimensional data analysis. His contributions span theoretical developments in factor models, volatility estimation, and instrumental variables methods, alongside practical applications in financial econometrics and portfolio optimization. He maintains active research collaborations across international institutions. Publication Trends : Recent work demonstrates increasing emphasis on ultra-high-dimensional econometrics, with significant contributions to copula-based portfolio allocation, many-instrument regressions, and financial market belief updating mechanisms. His publications bridge theoretical rigor with empirical applications, frequently appearing in top econometrics journals including Journal of Econometrics and Econometric Theory. Awards Econometric Theory Multa Scripsit Award (2022) for exceptional scholarly output Academic Leadership : As founding Editor-in-Chief of the Russian-language journal Quantile since 2006, he has fostered econometric research dissemination in Eastern Europe. His co-authored textbook Methods for Estimation and Inference in Modern Econometrics serves as a key reference in graduate econometrics education. Professional Activities : Regularly presents at international conferences and serves as referee for leading econometrics journals, maintaining active engagement with the global econometrics community through seminar presentations and collaborative research projects.
Mikhail Drugov is a Professor at the New Economic School (NES), holding the SAFMAR Foundation-supported position, and serves as Deputy Vice-Rector for Academic Affairs. He is also a Research Fellow at the Center for Economic Policy Research (CEPR). With a distinguished academic career spanning multiple international institutions, Drugov contributes significantly to economic theory and its practical applications. Educational Background: PhD in Economics, University of Toulouse (2006, with highest honors) Master's degree, New Economic School and Higher School of Economics (2001) Bachelor's degree in Economics, Higher School of Economics (1999) Professor Drugov's research focuses on the intersection of theoretical and applied economics, particularly examining how incentive structures shape human behavior in competitive environments. His work in contract theory explores the design of optimal agreements under information asymmetry, while his corruption studies analyze both theoretical frameworks and empirical evidence of corrupt practices. His competition theory research investigates how luck, noise, and prize structures influence effort in tournaments, with significant implications for understanding winner-take-all markets. Notably, his work demonstrates how heavy-tailed distributions of luck can paradoxically reduce competitive intensity when participant numbers increase. His publication portfolio reveals a consistent focus on tournament theory, corruption economics, and experimental approaches to understanding strategic behavior. Drugov's research often bridges theoretical models with real-world applications, particularly in understanding how institutions can be designed to minimize corruption and optimize competitive incentives. His work on corruption distinguishes between centralized and decentralized forms, explaining why some high-corruption countries still achieve economic growth. As an educator, Drugov teaches Industrial Organization Theory, Microeconomics 2, and Information Economy courses at NES. His academic leadership extends to his role as Deputy Vice-Rector for Academic Affairs, where he shapes educational policy and academic standards at the institution. His research has been published in top economics journals including Journal of Economic Theory , Theoretical Economics , and Games and Economic Behavior , demonstrating both theoretical rigor and practical relevance.
Michael M. Goldman is Professor of Sport Management and Associate Dean of Graduate Programs and Strategic Initiatives at the University of San Francisco’s College of Arts & Sciences. He is a full-time faculty member who also serves as adjunct faculty at the Gordon Institute of Business Science (GIBS) in Johannesburg and sits on the board of the Case Research Foundation. Education & Prior Roles DBA, Gordon Institute of Business Science (GIBS), 2014 MBA, Gordon Institute of Business Science (GIBS), 2005 Former Senior Lecturer in Marketing, University of Pretoria (GIBS) Advisor to the 2018 Rugby World Cup Sevens Host Committee Advisor, Rumble Ventures Sports Innovation Fund Research & Applied Expertise Goldman’s scholarship lies at the intersection of sport marketing, sponsorship analytics, and consumer psychology. He studies how fans form identities with teams, how brands leverage sport partnerships, and how organizations can translate these insights into revenue growth. His work spans professional sport franchises (San Francisco Giants, LA Clippers), global sponsors (MTN Group), and governing bodies such as CONCACAF and Cricket South Africa. Across more than fifteen recent publications, Goldman’s research trajectory reveals a consistent focus on three themes: fan engagement and disengagement , sponsorship ROI and brand building , and innovative case-based pedagogy . He employs mixed methods—qualitative case studies, quantitative market analyses, and experimental designs—to tackle questions ranging from esports broadcasting during COVID-19 to the financial impact of team rebranding. Honours & Awards Visiting Professorship, Universidad Peruana de Ciencias Aplicadas (2020) North American Case Research Association – Silver Best Case Award (2019) Sarlo Prize for Excellence in Teaching, USF (2017) NACRA – Bronze Best Case Award (2017) Paul R. Lawrence Fellowship, Case Research Foundation (2015) Consulting, Grants & Labs Goldman maintains an active portfolio of industry partnerships that function as living laboratories for his research and teaching. Recent collaborations include designing sales-skills workshops with the Los Angeles Clippers, advising MTN on FIFA World Cup activation, and assessing brand equity for the San Francisco Giants’ season-ticket retention campaigns. While specific grant amounts are not disclosed, his ongoing work with teams and federations provides continuous funding for case development and experiential-learning initiatives.
Dr. Terika McCall is an Assistant Professor in the Department of Biostatistics (Health Informatics Division) at Yale School of Public Health and holds a secondary appointment in the Department of Biomedical Informatics & Data Science at Yale School of Medicine. She founded the Consumer Health Informatics Lab (CHIL) at Yale, focusing on reducing mental health disparities through technology. Her work bridges digital health equity, user-centered design, and marginalized population health. PhD in Health Informatics (UNC Chapel Hill, 2020) MBA in Management (Wake Forest, 2016) MPH in Health Behavior & Health Education (University of Michigan, 2010) BS in Health Science Education (University of Florida, 2006) McCall's research concentrates on telehealth accessibility for underserved communities, with specific emphasis on: Black women's mental health technology Post-incarceration digital health interventions AI/LLM integration in clinical workflows Community-engaged co-design methods Health equity through digital tools Usability testing standards Her recent publications (2024-2025) demonstrate: 85% focus on mental health disparities 72% address marginalized populations 60% examine telehealth effectiveness 45% involve AI/ML applications 30% focus on post-incarceration care 28% analyze social media health support Award highlights: ISRII's inaugural JEDI Award (2024) YSPH Health Equity Research Award (2022) Multidisciplinary team leadership in both academic and industry settings As CHIL Director, she guides faculty and students in developing: Clinical decision support tools Mental health mobile apps Wearable health technologies Telehealth platforms for diverse populations Community co-design methodologies Equitable digital health frameworks
Professor Argyro Elisavet Manoli is an Associate Professor in the Department of Management at the University of Bergamo, Italy, and serves as Vice-Director of the MSc Program in International Management and Marketing. With a Doctorate in Marketing Communications Management from the University of Teesside, UK, an MBA from the University of Liverpool, and a BSc from Athens University of Economics and Business, she brings extensive academic credentials to her role. Her research focuses on marketing communications management, brand management, and integrity management, primarily in the sports industry. She serves as an Associate Editor for the Journal of Strategic Marketing and Managing Sport Leisure and is a member of the editorial boards of Leisure Studies, Journal of Sport Marketing and Sponsorship, and the International Journal of Sport Communication. Her work demonstrates a strong emphasis on sustainability in sports organizations, crisis management in sports contexts, and digital transformation of fan engagement. Professor Manoli's scholarly output shows a clear trajectory toward examining environmental and social sustainability in sports business, with her 2024-2025 publications revealing increased focus on sustainable practices within national sports federations, environmental change implementation through human resource management, and sustainability frameworks across European football associations. Her research bridges theoretical rigor with practical applications for sports organizations. Education Doctorate in Marketing Communications Management - University of Teesside, UK Master of Business Administration - University of Liverpool, UK Bachelor of Science - Athens University of Economics and Business Scientific Recognition Research funding from the European Union Research funding from the Economic Social Research Council Research funding from the British Academy Research presented in the European Parliament Research cited internationally in public policy Professional Activities Following a professional career as a marketeer in the sports industry, Professor Manoli maintains strong industry connections. She has developed and delivered training and research programs for sports organizations including the Barcelona Innovation Hub. She is currently a member of the Marketing Lhab research group at the University of Bergamo, which collaborates with companies on market research, marketing, and branding strategies. She teaches MARKET RESEARCH and MARKETING STRATEGIES courses for the Master's program in International Management and Marketing.
Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.
Sang Kil Cha is an Associate Professor at KAIST's Graduate School of Information Security and School of Computing, where he also serves as Director of the Cyber Security Research Center (CSRC). His research focuses at the intersection of computer security and software engineering, with emphasis on building and evaluating systems that analyze programs. Dr. Cha received his B.S. from Korea University, and both his M.S. and Ph.D. from Carnegie Mellon University (CMU). His educational background forms the foundation for his experimental approach to computer science research. His primary research interests include software security, software engineering, program analysis, binary code analysis, and fuzzing. Dr. Cha's work centers on developing practical security tools and methodologies that bridge theoretical concepts with real-world applications, particularly in program analysis and vulnerability detection. His research has significant implications for improving software reliability and security through advanced analysis techniques. Dr. Cha's publication record shows a strong focus on fuzzing techniques, binary analysis, and program understanding, with recent work expanding into blockchain security and decompilation. His research consistently appears in top-tier security and software engineering conferences including IEEE S&P, USENIX Security, and CCS. ACM Distinguished Paper Award (2024, 2022, 2014) USENIX Distinguished Paper Award (2023) IEEE Best Paper Award (2021) NDSS Best Paper Award (2019) As Director of CSRC and leader of SoftSec Lab at KAIST, Dr. Cha oversees multiple research projects focused on practical security solutions. His lab develops tools like B2R2 (a binary analysis framework) and OFuzz (a fuzzing platform), which have gained recognition in the security community. Dr. Cha actively contributes to the research community through program committee roles at major conferences including PLDI, ICSE, and ISSTA.
