M. Granger Morgan is the Hamerschlag University Professor of Engineering at Carnegie Mellon University , with appointments in the Department of Engineering and Public Policy , Department of Electrical and Computer Engineering , and H. John Heinz III College . He co-directs the NSF Center for Climate and Energy Decision Making and the Electricity Industry Center at CMU. Education: Ph.D., Applied Physics and Information Science, University of California, San Diego (1969) M.S., Astronomy and Space Science, Cornell University (1965) B.A., Physics, Harvard College (1963) His research spans science, technology, and public policy with focus areas in energy systems , climate change mitigation , electric grid resilience , and uncertainty characterization in policy analysis . Recent publications analyze hydrogen market barriers , carbon sequestration timelines , and interdependent energy infrastructure risks . Scientific leadership includes: Member, National Academy of Sciences Member, American Academy of Arts and Sciences Co-chair, NAS Report Review Committee Board member, International Risk Governance Council Foundation Advisory Board, E.ON Energy Research Center, RWTH Aachen DOE Electricity Advisory Committee member Former EPA Science Advisory Board Chair Fellow of AAAS, IEEE, and Society for Risk Analysis Contact: Office 5220 Wean Hall, Phone 412-268-2672, Email granger.morgan@andrew.cmu.edu
Dr. Kenan Arifoglu is an Associate Professor at the UCL School of Management. He previously held a postdoctoral position at the Ross Business School, University of Michigan (2008–2012). His education includes a PhD in Industrial Engineering and Management Sciences from Northwestern University (2012), two MSc degrees from Northwestern University (2008) and Koç University (2007), and a BSc from Koç University (2005). His research focuses on behavioral motivations in healthcare, supply chains, pricing, and entrepreneurial operations. Key projects include analyzing inefficiencies in flu vaccine supply chains and developing frameworks for high-growth startups. His work bridges operations management with practical challenges in healthcare, retail, and entrepreneurship. Recent publications address topics such as luxury brand licensing dynamics, incentive programs in healthcare systems, and the theoretical foundations of lean startup methodologies. These contributions span disciplines like marketing, operations research, and public health, emphasizing cross-sectoral applications. Dr. Arifoglu’s advising and grant activities are not detailed here. He is affiliated with the UCL School of Management and actively contributes to academic discourse through his research and teaching roles.
Pawan Adhikari is a Professor of Accounting at Essex Business School, University of Essex , where he serves as Director of Impact and Enterprise and Director of Essex Accounting Centre . He is an Associate Editor of the Journal of Public Budgeting, Accounting and Financial Management and a Executive Board Member of the Comparative International Governmental Accounting Research Network (CIGAR) . Previously, he led accounting reforms at Nepal’s Accounting and Auditing Standards Board and lectured at Nord University, Norway. PhD, Nord University Business School Fellow of the Higher Education Academy His research focuses on public sector accounting in developing countries, particularly accounting reforms , public value creation , and climate accountability . He explores how accrual accounting and participatory budgeting can enhance transparency in South Asian and African contexts. His work has influenced policy-making in Nepal and is recognized with the 2023 Best International Research Impact award by the University of Essex. Recent publications analyze wellbeing economies (2025), NGO accountability in disasters (2024), and climate budgeting (2023). He collaborates with institutions like the World Bank , European Commission , and British Academy , focusing on projects related to financial resilience , circular economy , and health sector accountability . Supervising 8 current PhD students, his advisees have produced work on topics like accrual accounting in Bangladesh and NGO accountability in Palestine . World Bank/PEFA Research Award African Accounting and Financial Association (AAFA) Award ESRC IIA Impact Fund GCRF and SeNSS Grants 2019 Best Postgraduate Supervisor (Essex)
Daniel Adelman is the Charles I. Clough, Jr. Professor of Operations Management at the University of Chicago Booth School of Business. He joined the faculty in 1997 after completing his PhD in industrial engineering and operations research at Georgia Tech. Adelman is a leading expert in Business Analytics and Management Analytics, helping companies deploy data and decision analysis to build world-class strategic and tactical management capabilities. Adelman received his PhD in industrial engineering and operations research in 1997, along with a bachelor's degree in industrial engineering and a master's degree in operations research, all from the School of Industrial and Systems Engineering at the Georgia Institute of Technology. Daniel Adelman's research focuses on applying analytical models to solve complex business problems across multiple industries. He has worked with firms from diverse sectors including internet services, chemical distribution, airlines, third party logistics, fiber-optics manufacturing, semiconductor manufacturing, oil, and healthcare. His research integrates real-world data with analytical models to bring structure and discipline to decision and control processes, enabling firms to achieve higher profits with lower risk. Adelman's recent work has concentrated heavily on healthcare analytics, where he leads the Healthcare Analytics Laboratory at Chicago Booth. This lab works with teams of doctoral and MBA students on projects with major healthcare institutions to optimize clinical, operational, and financial outcomes. His research spans foundational operations research including approximate dynamic programming, inventory theory/supply chain management, and revenue management/pricing optimization, as well as examining the linkage between operational performance metrics and financial performance of firms. Adelman's publications show a clear trend toward increasing focus on healthcare applications while maintaining strong theoretical foundations in operations research. His earlier work focused more on general operations management problems like inventory control and supply chain optimization, while his recent publications demonstrate a strategic shift toward healthcare analytics, particularly examining surgical team dynamics, hospital performance metrics, and resource allocation during public health emergencies like the COVID-19 pandemic. George B. Dantzig Prize (1998) for the best dissertation in operations research and management sciences that is innovative and relevant to practice Adelman regularly advises doctoral and MBA students through the Healthcare Analytics Laboratory at Chicago Booth. He has served as Associate Editor for Management Science, currently serves as Associate Editor for Manufacturing and Service Operations Management, and is the Area Editor for Operations and Supply Chain at Operations Research. His industry collaborations include significant projects with Akamai on internet pricing, with GE Global Research Labs on the electricity smart grid, with BP on gasoline supply contract portfolio optimization, and with Symantec on software release planning. Adelman leads the Healthcare Analytics Laboratory at Chicago Booth, which brings together interdisciplinary teams of doctoral and MBA students to work on a portfolio of projects with major healthcare institutions. The lab focuses on optimizing clinical, operational, and financial outcomes through advanced analytics and decision modeling.
Kevin Pisciotta is an Assistant Professor of Finance at the University of Kansas School of Business, specializing in empirical corporate finance, initial public offerings (IPOs), and information intermediaries. His work bridges corporate finance theory with real-world market dynamics, focusing on IPO processes, analyst behavior, and economic impacts of social issues like opioid abuse and sports betting. Education: Ph.D. in Business Administration, Pennsylvania State University M.S. in Finance, University of Delaware B.S. in Finance, University of Delaware Research Interests: His research explores how IPO bookbuilding mechanisms influence market outcomes, the role of sell-side analysts in information dissemination, and the macroeconomic consequences of phenomena like opioid abuse and sports gambling. He also investigates labor economics through the lens of corporate innovation and workforce productivity. Publications Trends: Recent work examines the interplay between sports betting and household financial stability (2024), IPO marketing strategies post-JOBS Act reforms (2018), and the spillover effects of opioid abuse on regional innovation ecosystems (2023). His studies frequently employ large-scale datasets to analyze market microstructure and policy impacts. Grants/Advising: No specific grants or advisee names are listed in available materials. Teaching experience includes undergraduate courses in investments, international finance, and corporate financial management. Labs/Teams: No dedicated lab affiliation is mentioned, though collaborations with institutions like Pennsylvania State University and the University of Delaware are implied through his educational background and co-authorships.
Francesco Pilati is an Associate Professor at the Department of Industrial Engineering, University of Trento, where he serves as local coordinator for the scientific field ING-IND/17 (Industrial Plants and Logistic Systems). He chairs the research group on Industrial Plants, Production Systems, and Logistics, and teaches courses in Industrial Plants and Design of Digital Production and Assembly Systems. As coordinator of the Master's program in Management and Industrial Systems Engineering and University Coordinator for the EIT double degree in Zero-Defect Manufacture, Pilati bridges academic leadership with advanced manufacturing research. He has also served as Invited Lecturer at universities in Vienna and Göttingen. His research focuses on integrating environmental sustainability with technical-economic criteria through multi-objective optimization and impact assessment. Key areas include: Distribution networks and warehousing systems Manufacturing and assembly line design Hybrid energy production systems Digitization of manual production processes using depth cameras Recent publications highlight applications of Industry 4.0 technologies to pandemic safety, logistics optimization, and smart manufacturing. Pilati has received significant recognition including the Philip Morris Italia Empowering Research Award (2016) and Autostrade per l'Italia academic recognition. His editorial contributions include guest editing special issues on Digital Twins and Smart Factories in Q1 journals.
Dr. Yongjia Song is an Associate Professor in the Department of Industrial Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. His research focuses on optimization under uncertainty, stochastic programming, and network interdiction with applications in disaster logistics, energy systems, and humanitarian operations. BS in Computational Mathematics (2009), Peking University MS in Industrial Engineering (2012), University of Wisconsin-Madison MS in Computer Sciences (2012), University of Wisconsin-Madison PhD in Industrial Engineering (2013), University of Wisconsin-Madison His work addresses complex systems under uncertainty through: Stochastic and robust optimization frameworks Integer programming for discrete decision problems Applications in disaster response and transportation networks Evacuation planning and shelter management Human trafficking disruption modeling Recent publications demonstrate trends in: Multistage stochastic programming for dynamic disaster response Bayesian preference elicitation for complex design problems Network interdiction models for security and trafficking disruption Integration of logistics and evacuation planning under uncertainty Adaptive algorithms for large-scale optimization Professional affiliations include: Institute for Operations Research and the Management Sciences (INFORMS) Mathematical Optimization Society (MOS) Society for Industrial and Applied Mathematics (SIAM) He teaches graduate courses in risk modeling (IE 8090) and actively works on practical implementations of optimization techniques in real-world systems.
Dr Nursen Aydin is an Associate Professor of Operational Research at Warwick Business School (WBS), affiliated with the ISM-Analytics (ISMA) Group. She holds a PhD in Industrial Engineering from Sabanci University, Turkey, with a prior visit to Cornell University for airline revenue management research. Her career includes roles as a Marie Curie Research Fellow at Brunel Business School and as an assistant revenue management analyst at Pegasus Airlines. Research Interests: Revenue Management and Pricing Stochastic Dynamic Programming Sustainable Transport Planning Large-Scale Applications Awards and Fellowships: Turing Fellow, Alan Turing Institute (2021–2023) Marie Curie Research Fellowship, Brunel Business School (2015–2016) Teaching: She teaches Business Analytics (IB1220) across multiple BSc programs and Analytics in Practice (IB9BW0) at the MSc level. Research Group: Active member of the ISM-Analytics (ISMA) Group, focusing on advanced analytics and operational research methodologies.
Professor Wei Cui is a distinguished scholar at the Peter A. Allard School of Law at the University of British Columbia, where he joined the faculty in 2013. His expertise spans tax law and policy, international taxation, and Chinese legal studies, with significant contributions to understanding the intersection of tax policy, climate change, and global economic governance. Professor Cui's educational background includes a BA from Harvard College, an MA in Philosophy from Tufts University, a JD from Yale Law School, and an LLM in Taxation from New York University School of Law. He maintains strong institutional affiliations with the Centre for Asian Legal Studies, Centre for Chinese Research, and Centre for Business Law at UBC. Professor Cui's research focuses on tax law and policy with particular emphasis on international taxation, carbon pricing mechanisms, Chinese fiscal systems, and the relationship between tax policy and development. His work bridges theoretical insights with practical applications in tax administration, examining how tax systems function in different political and economic contexts. He has made significant contributions to understanding China's tax system and its implications for developing countries, as well as analyzing innovative approaches to carbon pricing and digital taxation. His recent publications demonstrate a clear trajectory toward addressing contemporary challenges in tax policy, particularly the intersection of taxation with climate change mitigation and digital economy regulation. Professor Cui's research on carbon contracts for difference, output-based pricing systems, and digital services tax reflects his engagement with pressing policy questions facing Canada and the international community. Insight Grant from the Social Sciences and Humanities Research Council of Canada Insight Grant from the Social Sciences and Humanities Research Council of Canada Professor Cui has engaged in significant scholarly supervision and research collaboration, with his work supporting numerous graduate students and research projects. His professional background includes over 10 years of tax law practice with global law firms in New York and Beijing, service as Senior Tax Counsel at the China Investment Corporation (2009-2010), and consultancy roles with China's National People's Congress, Ministry of Finance, State Administration of Taxation, and the United Nations. Professor Cui maintains active research laboratories and teams focused on comparative tax systems, with particular attention to China's fiscal development and its implications for global tax governance. His current research projects examine the evolution of international tax design as part of the post-WWII international economic order and tax/subsidy policies designed to combat climate change and support innovation.
Sridhar R. Tayur is the Ford Distinguished Research Chair and University Professor of Operations Management at Carnegie Mellon University’s Tepper School of Business. He holds a Ph.D. in Operations Research from Cornell University and a B.Tech. in Mechanical Engineering from IIT Madras. His research focuses on quantum computing applications in operations research, healthcare systems optimization, and supply chain management. He has held visiting roles at MIT, Stanford, and Cornell, and founded companies like SmartOps and OrganJet. His recent work spans quantum-inspired optimization algorithms, healthcare decision support systems, and fair resource allocation policies. He has contributed to over 110 publications, including high-impact papers in Management Science , Operations Research , and IEEE Transactions . Awards include INFORMS Fellow and NAE membership. He teaches courses in quantum integer programming, healthcare operations, and service management at the Tepper School. Education: Ph.D. (Cornell), B.Tech. (IIT Madras) Research Labs: Quantum Technology Group, OrganJet Key Awards: INFORMS Fellow, NAE Member, MSOM Distinguished Fellow Teaching: MBA Operations Management, PhD Quantum Optimization, Healthcare Systems His interdisciplinary work bridges quantum computing, healthcare policy, and logistics, supported by collaborations with industry and government institutions.
John MacLaren Walsh is a Professor in the Department of Electrical and Computer Engineering at Drexel University, where he leads the Adaptive Signal Processing and Information Theory Research Group. He holds BS, MS, and PhD degrees from Cornell University, all completed under Dr. C. Richard Johnson, Jr. His research spans information theory, network coding, distributed computing, and machine learning applications in patent analysis. His work focuses on: Bounding entropic vectors and their impact on communication networks Rate region computation for network coding and distributed storage Information theory for distributed function computation Machine learning-enhanced patent processing systems Publications emphasize entropy geometry, network coding complexity, distributed algorithms, and patent analysis, with consistent themes of optimization and combinatorial methods. Recent work (2016-2019) shows increased focus on probabilistic supports and computational efficiency in network coding. Awards: 2011 NSF CAREER Award for 'Entropy Geometry in Variational Inference Signal Processing' He has advised PhD students on topics like entropy region mapping, network coding, and distributed control. Key grants include NSF CAREER and AFOSR funding for wireless network overhead control. He directs the Adaptive Signal Processing and Information Theory Research Group, which develops algorithms for network coding, distributed storage, and patent analysis systems.
Lana Wells is an Associate Professor at the University of Calgary's Faculty of Social Work and holds the Brenda Strafford Chair in the Prevention of Domestic Violence. As Founder/Director of Shift: Primary Prevention Research Hub and Research Fellow at the School of Public Policy, she specializes in preventing gender-based violence through systems change, policy innovation, and community engagement. Key research areas: Gender equity, Indigenous sovereignty, AI ethics for social work, and male allyship in violence prevention Led over $11M in research funding and 22.5M+ in prevention initiatives 2023 Killam Professor Award recipient Recent publications focus on AI applications for violence prevention, gamification in male engagement, and rural/small-town violence reduction strategies. Her work spans interdisciplinary collaborations with public health agencies, Indigenous communities, and international organizations. Major projects: Alberta's Primary Prevention Playbook, Strong Women's Circle with Indigenous communities, ConnectED Parents virtual intervention Active in policy advisory roles for governments and NGOs Scientific awards include: 2023 Killam Annual Professor Award 2022 Queen Elizabeth II Platinum Jubilee Medal 2019 Alberta Inspiration Award 2015 & 2013 Carthy Foundation Leadership Awards 2012 School of Public Policy Fellowship As a graduate supervisor in Social Work and Public Policy, she develops prevention workforce capacity through Shifttolearn.com. Current initiatives include data-driven dashboards for real-time violence prevention and cultural transformation in male-dominated institutions.
Xavier Brusset is a Professor in Supply Chain at SKEMA Business School since 2016, where he also serves as Director of the PRISM Research Center since 2017. Previously, he held professorial positions at Toulouse Business School (2015-2016) and ESSCA School of Management (2009-2015), where he was responsible for the Master 2 in Purchasing and Supply Chain Management program. His academic journey includes a PhD in Management Sciences from Université Catholique de Louvain (2010) and a Habilitation à Diriger des Recherches from Université Paris Ouest Nanterre La Défense (2016). His research spans multiple critical areas in supply chain management, with particular focus on supply chain resilience, blockchain applications, weather risk management, and pandemic impacts on supply chains. Brusset has developed innovative approaches to understanding how supply chain partners interact, how information affects their behavior, and how external disruptions like weather anomalies and pandemics impact operational efficiency. His work bridges theoretical models with practical applications, often developing decision-support tools for managers facing complex supply chain challenges. Brusset's publication record shows a clear evolution of research interests, beginning with foundational work on supply chain contracts and information sharing, then expanding to weather risk management, and most recently focusing on pandemic disruptions and blockchain applications. His 15 most recent publications (2018-2025) demonstrate increasing sophistication in modeling complex supply chain phenomena, with particular emphasis on network effects, ripple effects, and multi-echelon optimization under disruption scenarios. Editorial board member of Logistics Research Editor of International Journal of Retail and Distribution Management (2022-2023) Recognized EU expert for CINEA research projects evaluation Organizer of the Colloquium on European Research in Retailing (CERR) Reviewer for multiple top journals including International Journal of Production Economics As an advisor, Brusset has supervised doctoral students including R. Alkhudary (co-director, Université Paris 2 Panthéon-Assas) and V. Capocasale (rapporteur). His professional experience extends beyond academia to include industry roles in financial markets and logistics technology, having co-founded WebLogistix, a platform for sharing logistics information in Argentina. His research has practical applications across multiple sectors, particularly in retail, food supply chains, and manufacturing, where he develops tools to help managers mitigate risks and optimize operations under uncertainty.
Tim Huh is a Professor and Chair of the Operations and Logistics Division at the University of British Columbia's Faculty of Commerce and Business Administration. He specializes in inventory control, supply chain management, and operations research, with a focus on dynamic decision-making under uncertainty. B.A., B.Math, M.Math from University of Waterloo M.A. from Regent College M.S., Ph.D. from Cornell University His research spans theoretical and applied topics including renewable energy systems, healthcare operations, and digital learning analytics. Recent work explores wind power storage optimization, asynchronous video usage in education, and multi-echelon inventory solutions. Scientific recognition includes the Canada Research Chair in Operations Excellence and Business Analytics He teaches core business analytics and operations management courses at both undergraduate and graduate levels, emphasizing quantitative decision-making and process fundamentals.
Hugo de Boer is a Professor at the Copernicus Institute of Sustainable Development , Faculty of Geosciences, Utrecht University. He serves as scientific lead for the Delta Climate Center in Vlissingen and coordinates MSc programs in Water Science and Management and Water Management for Climate Adaptation . His research explores climate-ecosystem interactions, focusing on plant ecophysiology, ecosystem dynamics, and nature-inclusive climate adaptation in deltas. Research Themes: Future Deltas, Pathways to Sustainability, Integrative Bioinformatics Projects: LEMONTREE, CloudRoots, 'From losers to winners' (ancient plant lineages under elevated CO2) Teaching Expertise: System thinking for sustainability, quantitative statistics, plant ecophysiology Research Trends emphasize interdisciplinary approaches to climate change impacts on ecosystems, with publications spanning plant-cloud processes, CO2 acclimation, and eco-evolutionary optimality models. His work bridges biogeochemistry, land-atmosphere interactions, and sustainable development frameworks. Projects & Collaborations include experimental studies on ancient plant lineages (Equisetum) and integrative field campaigns in Amazon and temperate forests. He contributes to modeling climate-vegetation feedbacks, pesticide emission scenarios, and social-ecological system transitions.
