Simon Chadwick is a Professor of Sport and Geopolitical Economy at Skema Business School in France. He specializes in the intersection of sports, geopolitics, and economic transformation in the Middle East, particularly focusing on Gulf states' strategic investments in global sports ecosystems. His research examines how nations like Saudi Arabia and Qatar leverage sports to diversify economies, enhance soft power, and address unemployment. Key themes include the commercialization of football leagues, privatization of sports clubs, and the role of multinational corporations in shaping regional sports markets. Chadwick’s recent articles analyze the Gulf’s pursuit of the 2036 Olympics, the integration of esports into national strategies, and the challenges of building fan loyalty in the Saudi Pro League. His work also explores the economic implications of acquiring European football clubs and the long-term sustainability of Gulf-led sports initiatives. He has contributed to debates on 'sportswashing' and argues that Gulf investments extend beyond PR to systemic economic restructuring. His insights are frequently cited in analyses of Saudi Vision 2030 and its sports-related giga-projects like Neom and Diriyah.
Dr. Pranita Shrestha is a Researcher at the University of Sydney's School of Architecture, Design and Planning. Her work focuses on urban planning, housing policy, and informal settlements, with particular attention to platform-mediated housing markets and their socio-economic impacts. Her research spans topics such as cultural heritage management, rural community resilience, and policy responses to urban housing challenges. Shrestha has contributed to significant studies including analyses of Airbnb's impact on housing markets, post-disaster rehabilitation in Kathmandu Valley's World Heritage Sites, and the role of digital platforms in enabling informal housing practices. Her work often intersects with issues of equity, policy effectiveness, and spatial justice. Key projects include the AHURI-funded study on short-term rental accommodations and collaborative research on social housing marketization in New South Wales. Her research outputs include peer-reviewed articles, book chapters, and policy reports addressing global urban challenges. Shrestha's expertise is reflected in her interdisciplinary approach, combining policy analysis with field studies in diverse contexts such as Kathmandu, Sydney, and Turkey's Behramkale region. She actively engages with both academic and policy communities to advance evidence-based solutions for urban sustainability and affordability.
Palak Suri serves as an Assistant Professor in the Economics Department at West Virginia University, specializing in urban and labor economics with emphasis on public transit distributional impacts and gender employment dynamics. Education: Ph.D. in Economics, University of Maryland, 2022 Her research investigates socioeconomic effects of urban infrastructure in developing contexts, particularly analyzing Mumbai's metro rail system for travel time savings, employment accessibility, land value appreciation, and air quality improvements. She concurrently examines transportation's role in women's labor market participation through empirical studies on gender-transport-employment linkages. Recent publications (2021-2024) demonstrate methodological rigor through combined reduced-form and structural approaches, establishing connections between public transportation investments and multidimensional welfare outcomes including environmental health, gender equity, and household economic benefits across Indian urban settings.
David Alan Goldberg is an Associate Professor in the School of Operations Research and Information Engineering (ORIE) at Cornell University, part of Cornell Engineering. He joined Cornell in 2017 and previously held the A. Russel Chandler III Associate Professorship at Georgia Tech’s Industrial and Systems Engineering department. Goldberg earned his Ph.D. in Operations Research from MIT (2011) and a B.S. in Computer Science from Columbia University (2006). Education: B.S. in Computer Science, Columbia University (2006) Ph.D. in Operations Research, MIT (2011) Research Interests: Goldberg’s work focuses on applied probability and stochastic processes, including optimal stopping, inventory and queueing models, combinatorial optimization, and robust optimization. He develops algorithms and insights for complex systems, addressing challenges like the curse of dimensionality. His research spans applications in data science, operations research, and stochastic modeling. Notable contributions include distributionally robust inventory control and high-dimensional decision-making frameworks. Awards and Honors: 2025 Community-Engaged Practice and Innovation Award (David M. Einhorn Center) 2023 Sunny Yau ’72 Teaching Award (Cornell) 2019 INFORMS Applied Probability Society Best Publication Award 2015 NSF CAREER Award Multiple INFORMS Nicholson Student Paper Competitions (First Place, 2019 & 2015) Teaching and Service: Goldberg leads Cornell ORIE’s undergraduate research program, connecting students to real-world applications of OR and data science. He teaches courses in probability modeling, stochastic models, and academic skills for PhD students. He chairs the INFORMS Applied Probability Society and serves on editorial boards for Operations Research and Stochastic Systems . At Cornell, he advises the Undergraduate ORIE Society and directs undergraduate studies in ORIE. Labs & Collaborations: Goldberg’s research integrates theoretical rigor with practical applications, often involving collaborations across disciplines. His work bridges operations research, statistics, and computer science to address modern challenges in inventory systems, queueing networks, and decision-making under uncertainty.
Metin Ercan is a Professor at Bogazici University. His research focuses on Financial Markets, IPOs, Banking, the Unregistered Economy, and Privatization, with notable contributions to understanding economic dynamics in Turkey. He holds a Ph.D. from Boston College and has taught courses such as Financial Management, Investments, and Derivative Securities. Education: Ph.D.: Boston College Research Interests: Dr. Ercan's work bridges macroeconomic policy and financial systems, particularly analyzing how global economic trends impact Turkey’s financial growth models. He explores mechanisms to harness financial resources amid globalization pressures, investigates IPO underpricing in emerging markets like the İstanbul Stock Exchange, and examines the interplay between foreign direct investment and informal economic sectors in Turkey. His studies aim to inform policies on privatization and sustainable economic development. Publications Trends: His publications emphasize Turkey’s economic challenges and opportunities, with a focus on financial markets’ structural issues, the role of foreign investment in informal economies, and IPO dynamics. His 2015 book proposes financial strategies to counteract global economic stagnation, while his 2011 articles analyze specific market behaviors and policy implications. Advising & Grants: No formal advisees or grant information is listed in the provided text. Labs/Teams: Not specified in the available data.
Amir Sufi is the Bruce Lindsay Distinguished Service Professor of Economics and Public Policy at the University of Chicago Booth School of Business, where he has been a faculty member since 2005. He serves as a Research Associate at the National Bureau of Economic Research and co-director of its Corporate Finance Program. Bachelor’s Degree, Walsh School of Foreign Service, Georgetown University (1999) PhD in Economics, Massachusetts Institute of Technology (2005) His research focuses on finance , macroeconomics , and corporate finance . Key areas include household debt dynamics , credit market structure , income inequality , and interest rate impacts on productivity growth . Recent work examines customer capital investment and low-interest rate effects on market concentration . Selected scientific awards include the 2017 Fischer Black Prize, Econometric Society Fellow (2022), and American Academy of Arts and Sciences Fellow (2024). His peer-reviewed publications and working papers span topics from syndicated loans to global household debt cycles , with notable contributions to understanding credit-driven business cycles and government-led consumer credit programs . He teaches courses in leveraged finance , private credit , and corporate restructuring .
Craig A. Bond is a Professor at the RAND School of Public Policy, a Senior Economist at RAND Corporation, and Editor-in-Chief of the RAND Journal of Economics. His work bridges military resource allocation and environmental economics through advanced econometric modeling. Current Roles: Research QA Manager (RAND Arroyo Center), Senior Economist Methodological Expertise: Stochastic dynamic programming, discrete choice modeling, non-market valuation Key Research Themes: Military readiness, coastal resilience, green infrastructure, post-disaster recovery Research Interests: Craig Bond specializes in natural resource economics , environmental economics , and applied welfare economics , with recent work focusing on: Risk modeling for defense acquisitions and personnel strategy Resilience dividend valuation frameworks Green infrastructure cost-benefit analysis Climate adaptation in coastal communities Publication Trends: His 15 most recent works (2017-2025) show interdisciplinary focus across: Military Economics: Recruiting optimization, training requirements, economic multipliers Environmental Policy: Coastal land loss, invasive species impact, water management Resilience Modeling: Disaster recovery frameworks, adaptive systems
Jim Rogers is an Associate Professor and Chair of PhD Studies at the School of Communications, Dublin City University. His research focuses on media and cultural industries, music, and copyright, with an emphasis on the digital transformation of the music industry, global strategies, and policy implications. He has authored and edited multiple books and articles on topics such as the evolution of performing rights organizations, the audio-visual nexus, and Ireland's music industry success. Rogers has presented at international conferences across Europe, Africa, Asia, and the Americas, engaging with issues like intellectual property, creative destruction, and cultural policy. His work bridges academic theory and industry practice, addressing the intersection of technology, law, and cultural production.
Professor Moncef Gabbouj is a distinguished academic and researcher currently serving as Professor of Signal Processing at the Department of Computing Sciences, Faculty of Information Technology and Communication Sciences, Tampere University, Finland. Previously, he held the same position at Tampere University of Technology before the merger in 2019. He has also held visiting professorships at prestigious institutions including Hong Kong University of Technology and Science, University of Southern California, and Purdue University. Ph.D. and MSc. in Electrical Engineering from Purdue University, USA (1989 and 1986) B.Sc. in Electrical Engineering from Oklahoma State University, USA (1985) Prof. Gabbouj's research spans multiple domains within signal and image processing, with a strong focus on machine learning applications. His primary research interests include artificial intelligence, machine learning, Big Data analytics, multimedia content-based analysis, indexing and retrieval, nonlinear signal and image processing, voice conversion, and video processing and coding. His work bridges theoretical advancements with practical applications across various industries, particularly in multimedia communications and biomedical applications. His extensive publication record demonstrates a clear evolution from traditional signal processing techniques toward more sophisticated machine learning and deep learning approaches. Recent work shows increasing focus on convolutional neural networks for various applications including ECG classification, video processing, financial time-series analysis, and image recognition tasks, reflecting the broader trend in the field toward deep learning methodologies while maintaining strong foundations in signal processing theory. IEEE Fellow (2011) Member, Finnish Academy of Science and Letters (2014) Knight, First Class, of the Order of the White Rose of Finland (2006) Nokia Foundation Recognition Award (2005) Nokia Foundation Visiting Professor Award (2012) Finnish Cultural Foundation for Art and Science Award (2017) TUT Foundation Grand Award (2015) Prof. Gabbouj has supervised 64 doctoral and 72 Master's theses, demonstrating his significant contribution to academic mentoring. His research has been supported by substantial funding, including research grants totaling 8.5 million Euro (2001-2015). He has served as Academy of Finland Professor during 2011-2015 and has been involved in numerous EU research projects including Horizon, ESPRIT, HCM, IST, COST, Tempus and Erasmus programs. As Editor, Guest Editor or member of the Editorial Board of 6 international scientific journals, he has significantly influenced the academic discourse in his field. He leads the Signal Analysis and Machine Intelligence (SAMI) research group at Tampere University and serves as the Finland Site Director of the NSF IUCRC funded Center for Visual and Decision Informatics. His research unit focuses on applying advanced machine learning techniques to solve complex problems in signal processing, computer vision, and multimedia analytics, with applications ranging from healthcare to multimedia communications and financial analysis.
Dr. Duc (David) Tran is a tenured Associate Professor in the Department of Computer Science at the University of Massachusetts at Boston. He directs the Network Computing Laboratory and focuses on network computing, with current projects in blockchain technology, decentralized learning, and edge computing. His research on peer-to-peer and decentralized networks has been widely cited. National Science Foundation funding recipient Best Theory Paper Award at IEEE MASS (2014) Best Paper Award at ICCCN (2008) IEEE Outstanding Graduate Student Award (2002) His research combines machine learning and decentralized techniques to optimize networked applications. Recent publications highlight blockchain for federated learning, edge computing, and automated market-making algorithms. He has also published cross-disciplinary work in medical imaging (2021) and obstetrics (2025). Dr. Tran actively contributes to academic service as an editor for Elsevier Ad Hoc Networks Journal, Springer Journal on Computational Social Networks, and Taylor Francis Journal on Parallel, Emergent, and Distributed Systems. He has served as TPC Chair for WiMAN, Guest-Editor for Pervasive Computing and Communications, and keynote speaker at WiMAN 2013.
Dr. Alfred Chong is an Associate Professor in the Department of Actuarial Mathematics and Statistics at Heriot-Watt University (HWU). Previously, he served as an Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC) and co-founded the Illinois Risk Lab. His research focuses on Actuarial Science, Financial Mathematics, and Quantitative Risk Management, addressing emerging risks like cyber, pandemic, and climate risks, leveraging machine learning, optimization, and stochastic control. He holds a PhD from The University of Hong Kong and King's College London, and is an Associate of the Society of Actuaries. Chong actively contributes to academic governance, including roles in the EPSRC Mathematical Sciences Early Career Forum and the Maxwell Institute's Data and Decisions research theme. Education: PhD in Actuarial Science, University of Hong Kong & King's College London Research Interests: Chong explores risk sharing mechanisms, forward preferences in insurance, and mitigation strategies for large-scale risks. His work integrates data analytics and machine learning to solve decision-making challenges, such as cybersecurity risk assessment, pandemic resource allocation, and climate risk modeling. Recent projects include incident-specific cyber insurance design and delegated investment strategies for retirement savings. Awards: Michael V. Colla Prize for Mathematics Related to Medicine (2022) Best of 2020 in the Annual Meeting of the Casualty Actuarial Society (2021) Advising & Grants: Chong supervises PhD students in holistic risk management, forward preferences, and reinforcement learning applications. He has secured grants supporting interdisciplinary research in risk modeling and insurance innovation. Labs & Teams: Co-founder of the Illinois Risk Lab (UIUC), now leading research at HWU's Actuarial Mathematics & Statistics department. Engaged with the International Centre for Mathematical Sciences for knowledge exchange initiatives.
Benjamin F. Hobbs serves as the Theodore M. and Kay W. Schad Professor of Environmental Management at Johns Hopkins University, holding a primary appointment in the Department of Environmental Health and Engineering and a joint appointment in the Department of Applied Mathematics and Statistics. He is co-director of the USEPA Yale-JHU SEARCH Center and director of the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center, focusing on interdisciplinary research at the intersection of energy systems, environmental management, and public health. Hobbs' educational background includes a BS from South Dakota State University (1976), an MS in Resources Management and Policy from SUNY-Syracuse (1978), and a PhD in Environmental Systems Engineering from Cornell University (1983). Prior to joining Johns Hopkins in 1995, he worked at Brookhaven and Oak Ridge National Laboratories and served as a professor at Case Western Reserve University, with additional visiting appointments at institutions including Cambridge University. His research integrates systems analysis, economics, and optimization to address critical challenges in electric utility planning, renewable energy integration, and environmental resource management. Key focus areas include solar forecasting using AI, green infrastructure for urban water management, health impacts of energy transitions, and grid reliability under high renewable penetration. His work emphasizes practical applications through engineering-economic modeling with rich technological and environmental detail. Analysis of his recent publications reveals a strong trend toward addressing grid reliability in decarbonizing systems, with increasing emphasis on market design innovations, resource adequacy under uncertainty, and storage-transmission tradeoffs. His research consistently bridges theoretical optimization with real-world policy implementation, particularly evident in his leadership of the EPICS Center's 100% renewable grid initiatives. Lifetime Achievement Award by Energy Systems Integration Group (ESIG), 2024 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) Fellow of the Institute for Operations Research and Management Science (INFORMS) Hobbs advises graduate students through Johns Hopkins' interdisciplinary programs, with alumni employed as energy consultants, policy analysts, and researchers. His current grants include leadership of the NSF Global Center EPICS and co-direction of the USEPA SEARCH Center, focusing on energy-air-climate-health interactions. He chairs the Market Surveillance Committee for the California Independent System Operator and serves on editorial boards for Energy Economics and other leading energy journals. He leads the Hobbs Energy & Environment Decisions Research Group, which collaborates with institutions including IBM, National Renewable Energy Laboratory, and University of Texas at Dallas. The group participates in the Global Power Systems Transformation Consortium and Columbia-JHU Future Power Markets Forum, conducting fieldwork initially in California and the central United States.
Robert C. Merton is the School of Management Distinguished Professor of Finance at MIT Sloan School of Management and John and Natty McArthur University Professor Emeritus at Harvard University. He holds a PhD in Economics from MIT (1970), with prior roles including George Fisher Baker Professor at Harvard Business School and J.C. Penney Professor of Management at MIT Sloan. His work revolutionized finance through the Black-Scholes-Merton options pricing model, earning the 1997 Nobel Prize in Economics. Current research focuses on lifecycle investing, systemic risk measurement, and financial innovation. Education: BS in Engineering Mathematics (Columbia), MS in Applied Mathematics (Caltech), PhD in Economics (MIT). Affiliated with MIT’s Golub Center for Finance and Policy and Harvard initiatives. Recognized via awards from CME Group, World Federation of Exchanges, and Risk magazine. Key publications include Continuous-Time Finance and co-authored works on financial systems and innovation. Research emphasizes translating theory into practice, with recent articles addressing volatility forecasting, trust in lending, bankruptcy frameworks, and performance fee valuation. A prolific academic leader, he advises on policy and systemic risk while maintaining ties to MIT’s finance community through roles like Killian Award recipient (2021).
Professor Terry Flew (BEc (Hons), MEc (Sydney), MBA (QUT), PhD (Griffith)) is a leading academic at the University of Sydney , holding the Professor of Digital Communication & Culture position within the Faculty of Arts and Social Sciences . As an Australian Research Council Laureate Fellow (2024-2029), he leads the Centre for AI, Trust & Governance , a flagship initiative involving multiple faculties. His international appointments include Research Fellow at the UK Creative Industries Policy & Evidence Centre and Honorary Professor at the University of Nottingham Ningbo China. Co-Director, Centre for AI Trust and Governance Member, SSSHARC research center International collaborations with Carleton University (Canada), Communications University of China, University of Glasgow (UK) Research Focus : Specializing in platform governance , digital policy , and mediated trust , Professor Flew bridges media economics , AI ethics , and creative industries . His work examines digital platform regulation , news media sustainability , and global internet governance , with recent projects analyzing trust mechanisms in AI systems and digital content regulation . The 2024-2028 Laureate Fellowship on "Mediated Trust" integrates these themes. Publications & Grants : With 16 authored/edited books and 129 journal articles , he has secured $11 million in research funding (including $9.9 million from ARC). Key grants include ARC Discovery projects on digital platform governance and Linkage projects on citizen journalism. Professional Leadership : Served as ICA President (2019-2020), ANZCA President (2009-10), and Lead Commissioner for the Australian Law Reform Commission. Currently sits on editorial boards of Journal of Communication , Global Media and Communication , and Media International Australia .
Prof. Bruno Burger is a Professor at the Karlsruhe Institute of Technology (KIT) and affiliated with the Fraunhofer Society. His work focuses on electricity market reform, renewable energy integration, and grid infrastructure challenges. He is a key researcher at the Helmholtz Institute Ulm (HIU), specializing in electrochemical energy storage systems and sustainable energy policy. Research interests include analyzing the impact of renewable energy on electricity markets, grid expansion requirements, and the role of storage systems in stabilizing power networks. His recent work addresses extreme grid scenarios (e.g., February 2023 northern-southern Germany imbalance) and proposes reforms to the merit order pricing model. In a featured podcast, he discussed challenges in electricity price determination, grid capacity limitations, and the need for regional price zones to manage renewable energy fluctuations. Despite no listed awards, his contributions to energy policy and grid resilience are highlighted through HIU’s research initiatives. Prof. Burger collaborates with industry partners on grid stability projects and participates in cross-disciplinary teams addressing electromobility and stationary energy storage solutions. His affiliation with both KIT and Fraunhofer underscores his role in bridging academic research with industrial applications.
