Hadi Meidani is a Clinical Associate Professor at the Carle Illinois College of Medicine , specifically within the Department of Biomedical and Translational Sciences at the University of Illinois at Urbana-Champaign . He teaches courses in Civil and Environmental Engineering, including topics like Systems Engineering & Economics , Machine Learning in CEE , and Uncertainty Quantification . Ph.D., Civil Engineering, University of Southern California (2012) M.S., Electrical Engineering, University of Southern California (2012) M.S., Structural Engineering, Sharif University of Technology (2005) B.S., Civil Engineering, K.N. Toosi University of Technology (2002) Dr. Meidani's research focuses on uncertainty quantification , scientific machine learning , and optimization under uncertainty for engineering systems. His work spans stochastic multiscale analysis , physics-informed machine learning , and model reduction techniques. His recent publications emphasize machine learning for infrastructure systems , graph neural networks , physics-informed models , and traffic assignment . Key trends include deep learning , multi-fidelity modeling , and neural operator transformers applied to metamaterial design , seismic reliability , and autonomous freight delivery .
Brendan Russo serves as an Associate Professor in the Department of Civil Engineering, Construction Management, and Environmental Engineering at Northern Arizona University, where he conducts influential research in transportation safety and traffic engineering. His work focuses on improving safety outcomes for vulnerable road users through rigorous analysis of crash data, traffic operations, and emerging mobility technologies, with significant contributions to Arizona-specific transportation challenges and national safety practices. Russo's research program centers on bicycle and pedestrian safety, crash severity analysis, and the integration of autonomous systems into transportation networks. He employs advanced methodologies including spatial analysis, statistical modeling (e.g., random parameters bivariate probit models), and observational studies to investigate traffic stress levels, intersection safety, and the impacts of infrastructure treatments. His work consistently bridges theoretical transportation engineering with practical applications for safer community design. Analysis of Russo's recent publications reveals a strong emphasis on emerging transportation technologies and their safety implications, particularly regarding autonomous delivery robots and vehicle-pedestrian interactions, while maintaining core focus on traditional safety concerns like bicycle crash frequency and severity. His research demonstrates increasing integration of spatiotemporal analysis and scenario-based testing methodologies, with a clear geographic concentration on Arizona metropolitan regions that provides valuable localized insights applicable to broader transportation contexts. No scientific awards were mentioned in the provided text. No specific information about advising responsibilities or grant funding was provided in the text, though his extensive publication record and dataset contributions indicate active research leadership. Russo collaborates within a robust research network centered on transportation safety, frequently partnering with colleagues including Gehrke, Smaglik, and Holliday on projects involving field data collection, bicycle infrastructure evaluation, and safety performance metrics. His work leverages both observational studies and simulation approaches to develop data-driven guidance for transportation practitioners, with particular attention to Arizona's unique transportation environment and metropolitan planning challenges.
Ronald McGarvey is a Full Professor at IÉSEG School of Management since 2022, with prior roles including Associate Professor with Tenure at the University of Missouri (2013-2022) and Senior Operations Researcher at RAND Corporation (2002-2022). He holds a Ph.D. in Industrial Engineering and Operations Research from Pennsylvania State University and an H.D.R. in Industrial Engineering from the University of Paul Sabatier, France. Education : H.D.R. (2024), Industrial Engineering, University of Paul Sabatier Ph.D. (2002), Industrial Engineering and Operations Research, Pennsylvania State University His research focuses on Operations Research and Robust Optimization applied to diverse domains: Healthcare Logistics : Modeling access disparities in rural obstetric care for American Indian populations Environmental Sustainability : Analyzing biomass energy systems, forest carbon impacts, and waste management frameworks Network Design : Developing optimization models for supply chain resilience, military logistics, and urban transit safety Policy Analysis : Evaluating multi-state environmental collaborations and localized food systems His publications demonstrate strong interdisciplinary applications of mathematical programming and spatial optimization to real-world challenges in healthcare access, energy sustainability, and transportation systems. Key Collaborations : Working with researchers in public health (Thorsen, Noble), environmental science (Aguilar), and engineering (Mirzaee, Gutierrez-Lopez)
Dr. Tarek Sayed is a Professor at the University of British Columbia's Department of Civil Engineering within the Faculty of Applied Science. He specializes in Transportation Engineering, focusing on road safety analysis, traffic operations, and Intelligent Transportation Systems (ITS). He serves as the Director of the Bureau of Intelligent Transportation Systems and Freight Security (BITSAFS-Engineering) and Editor of the Canadian Journal of Civil Engineering . His research addresses three core areas: improving road safety evaluation techniques, enhancing safety through traffic operations and highway design analysis, and advancing ITS technologies. Notable contributions include frameworks for safety-audits of infrastructure projects like the Sea to Sky Highway and methodologies for evaluating transit signal priority systems in Vancouver. He has authored/co-authored over 250 publications and supervised 60 graduate students. Key Roles: Professor, BITSAFS Director, Journal Editor Awards: Tier 1 Canada Research Chair, Wilbur Smith Award, Sandford Fleming Award, Prince Michael International Road Safety Award Consulting: Global projects in traffic safety and ITS for agencies like ICBC, FHWA, and Ashghal His research integrates Bayesian statistical methods, extreme value theory, and machine learning to model traffic conflicts, pedestrian behavior, and safety interventions. Current projects include real-time safety optimization using autonomous vehicle data and analyzing shared space interactions between cyclists and pedestrians. Dr. Sayed chairs national/international committees, including the U.S. Transportation Research Board’s safety data committee. His work bridges academia and practice, influencing policy and infrastructure investment decisions worldwide.
Roles and Affiliations: Professor David Levinson is a Professor of Transport in the School of Civil Engineering at the University of Sydney since 2017. He holds adjunct faculty status at the University of Minnesota's Department of Civil, Environmental, and Geo-Engineering (since 1999–2016). He previously directed the Accessibility Observatory and the Networks, Economics, and Urban Systems (NEXUS) research group. He is a member of The Net Zero Institute and leads the TransportLab research group. Education: PhD 1998 in Urban and Regional Planning from the University of California, Berkeley. Research Interests: Focuses on transportation networks, urban systems, accessibility analysis, and policy. Key themes include spatial equity, transport economics, and the co-evolution of land use and transport infrastructure. His work emphasizes data-driven approaches to urban mobility challenges, including modeling transport networks and evaluating infrastructure impacts on accessibility and equity. Grants and Projects: Recent grants include Design of micro-decisions in automated transport (2022, ARC) and Reducing pedestrian crashes through better intersection design (2021, Australian Road Safety Innovation). Collaborates internationally on projects like the Accessibility Observatory. Labs and Teams: Leads the TransportLab and collaborates with the NEXUS group. Active in interdisciplinary research, including urban analytics and transport policy.
Allan Larsen is a Professor and Deputy Head of Division at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark. He heads the Operations and Supply Chain Management Section. His academic background includes an MSc in Applied Mathematics and a PhD in Operations Research, both from DTU. He teaches courses in Operations Management and Simulation at both undergraduate and graduate levels. Research Focus: His work applies operations research methodologies to complex planning problems in supply chain management, logistics, healthcare operations, and public transport. Key areas include urban freight transport, healthcare supply chains, and optimization of public transport resources like crew and fleets. Collaborations with industries, especially in freight transport, have been extensive. He previously co-directed the Transport DTU research center and co-chaired Denmark’s Transport Innovation Network. Education: MSc in Applied Mathematics (1989–1995), PhD in Operations Research (1997–1999), both from DTU. Recognition: Recipient of the Hedorf’s transportpris award in 2022 for contributions to transport research. Research Projects: Supervises multiple PhD students (e.g., on electric freight transport, healthcare resource optimization, and Industry 4.0 applications). Active in projects like 'Pioneering Electric Heavy-Duty Freight Transport' and 'Resource optimization in healthcare.' Labs/Teams: Leads the Operations and Supply Chain Management research group and collaborates in initiatives like the Transport Innovation Network, focusing on sustainable transport solutions.
Moshe E. Ben-Akiva is the Edmund K Turner Professor at the Massachusetts Institute of Technology (MIT), affiliated with the School of Engineering and the Department of Civil and Environmental Engineering. He holds a B.S. from Technion-Israel Institute of Technology (1968), and M.S. and Ph.D. degrees in transportation systems from MIT (1971, 1973). His research focuses on transportation systems analysis, intelligent transportation systems, demand modeling, econometrics, and infrastructure management. He has been recognized with prestigious awards, including election to the National Academy of Engineering (2025) for contributions to transportation systems modeling and demand analysis. His work spans theoretical and applied domains, including agent-based microsimulation for freight logistics, tradable credit schemes for congestion management, and behavioral dimensions of transport decarbonization. Ben-Akiva collaborates with industry and policymakers to design sustainable mobility solutions. His notable publications include foundational texts on discrete choice analysis and stated preference elicitation. He advises on transportation policy, urban planning, and emerging mobility technologies such as automated vehicles and urban air mobility. Current research explores impacts of automated mobility-on-demand systems, real-time tolling strategies, and e-commerce delivery demand modeling. His team develops tools like SimMobility Freight, an agent-based urban freight simulator. He remains active in teaching, focusing on demand modeling and econometrics courses at MIT.
Manish Verma is Professor of Operations Management and Associate Dean, Graduate Studies at the DeGroote School of Business, McMaster University. His academic journey began with an MBA and PhD in Business Administration with Operations Management/Management Science specialization from Desautels Faculty of Management at McGill University. Dr. Verma's research focuses on multimodal transportation of dangerous goods, risk assessment, network design and planning in transportation, humanitarian logistics, green supply chain management, and disruption/resilience in transportation systems. His current research engagements center on safety and security issues in freight transportation and humanitarian logistics, funded by NSERC and SSHRC grants. He has been frequently approached by media to comment on railroad accidents involving dangerous goods. An analysis of his recent publications reveals a strong emphasis on hazardous materials transportation risk management, with significant contributions to rail-truck intermodal systems, hazmat risk modeling using value-at-risk methodologies, and emergency response planning for transportation networks. His work bridges theoretical operations research with practical transportation safety applications. $245K research grant for rail safety research from Government of Canada As an educator, Dr. Verma has taught courses including Predictive Analytics for Managers, Network Design Issues in Freight Transportation, and Management Science Research Issues. His scholarly impact is evidenced by publications in leading journals such as Transportation Research Part E, European Journal of Operational Research, and Safety Science. He actively contributes to real-world transportation safety through media commentary and research that informs policy decisions regarding dangerous goods transportation.
Prof. Dr. Evi Hartmann holds the Chair of Business Administration, especially Supply Chain Management at Friedrich-Alexander University Erlangen-Nuremberg (FAU) within the Department of Business, Economics, and Social Sciences. She is actively involved in multiple research focus areas including sustainability, energy markets and energy system analysis, and insurance and risk. Her academic leadership extends across interdisciplinary collaborations with engineering, mathematics, and industry partners. Dr. Hartmann studied industrial engineering at the University of Karlsruhe (TH), received her doctorate in 2002 from the Institute of Technology and Management at the Technical University of Berlin, and completed her habilitation in business administration in 2008. Prior to her academic career, she worked as a consultant at AT Kearney from 1998 to 2005, followed by a junior professorship for 'Purchasing and Supply Management' at the Supply Chain Management Institute at the European Business School. Her research program focuses on supply chain management, purchasing, and strategic foresight, with particular emphasis on application-oriented approaches that bridge theory and practice. Current research trajectories include supply chain resilience in crisis situations (including pandemic response), digital transformation through Industry 4.0 technologies, sustainable and low-carbon supply chains, and the integration of strategic foresight methodologies in logistics decision-making. Her work frequently employs Delphi studies, bibliometric analyses, and multi-tier case studies to examine complex supply chain phenomena. Analysis of her recent publications reveals a strong trend toward interdisciplinary research that combines supply chain management with digital transformation, sustainability, and crisis response. Her work increasingly examines the intersection of technology adoption (particularly Industry 4.0), organizational culture, and supply chain resilience across multiple industries including automotive, food, and maritime logistics. Prof. Hartmann is recognized as the author of two academic bestsellers in her field, though specific awards are not detailed in available materials. Her research has been published in top-tier journals including IEEE Transactions on Engineering Management, International Journal of Production Research, and Journal of Cleaner Production. Her research program demonstrates extensive industry collaboration, with numerous projects involving real-world implementations and close partnerships with companies. She leads research initiatives examining the practical implications of digital transformation, sustainability challenges, and resilience strategies in supply chain operations. Current projects include studies on digital ecosystems, physical internet applications, and the future of freight forwarding technologies. Prof. Hartmann participates in several research networks including the Energy Campus Nuremberg (EnCN) and collaborates with the Department of Mathematics on gas networks and markets research. She is also involved with the Nuremberg Energy Region (Energieregion Nürnberg eV) and contributes to interdisciplinary research centers focused on sustainable development and digital transformation in supply chains.
Yusupova Guzel Fatehovna is an Associate Professor at the Department of Applied Economics within the Faculty of Economic Sciences at the National Research University Higher School of Economics (HSE), where she has been working since 1998 with 28 years of scientific and teaching experience. She also serves as a Senior Research Fellow at the Institute for Enterprise and Market Analysis, specifically in the Laboratory of Competition and Antimonopoly Policy. Her research interests focus on Industrial Organization, Competition Policy, Antitrust Economics, Digital Markets, Market Analysis, and Economics of Network Effects, with particular attention to Russian industrial markets. Her professional expertise stems from her Candidate of Economic Sciences degree (2007) in Economics and Management of the National Economy, with a dissertation on "Boundaries of Russian markets and competition," and her Associate Professor title awarded in 2013. Dr. Yusupova's publication record shows a consistent focus on competition policy and market analysis, with her most recent work examining AI applications in cartel detection, digital platform competition, and the nuances of antitrust enforcement in specialized markets. Her research demonstrates progression from foundational industrial organization topics to increasingly complex digital market challenges. Honorary certificate of the Ministry of Science and Higher Education of the Russian Federation (November 2022) Gratitude of HSE (March 2022) Gratitude of the Faculty of Economic Sciences HSE (January 2021) Winner of the Competition for the best Russian-language scientific works of HSE employees - 2021 Multiple academic bonuses for publications and contributions to HSE reputation (2010-2024) As an educator, Dr. Yusupova teaches graduate and undergraduate courses including Analysis of Industry Markets and Competition Policy, Introduction to the Economy of Digital Platforms, and Theory of Industrial Markets. Her teaching reflects her research expertise, bridging theoretical industrial organization concepts with practical antitrust applications. She has participated in numerous international conferences and research projects focused on competition policy effectiveness, with particular emphasis on Russian market contexts and transition economy challenges.
Chee-Wooi Ten is a tenured Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, where he has served since 2010 and achieved tenure in 2016. He concurrently holds an Affiliated Professor appointment in Applied Computing and directs both the PSERC Site and ICC CPS Center. His institutional roles emphasize cyber-physical security integration within power infrastructure. His educational background includes: PhD in Electrical Engineering from University College Dublin (2009) MSc in Electrical Engineering from Iowa State University (2001) BSc in Electrical Engineering from Iowa State University (1999) Ten's research pioneers cyber-informed security engineering strategies for bulk power systems, focusing on quantifying rare events through system risk models and data science. His work bridges power grid interactions with robotics and transportation systems to advance decarbonization and electrification. Key methodologies include validating cyber-physical security frameworks against steady-state and dynamic grid approaches, with emphasis on attack/defense combinatorics and smart home technologies. This transdisciplinary approach supports the fourth industrial revolution's resilience requirements. His publication trends reveal strong focus on risk-aggregated substation testbeds using generative adversarial networks, cyber insurance models for power systems, and cascading failure analysis from switching attacks. Recent works increasingly integrate machine learning with physics-based modeling to address cybersecurity threats in inverter-based resource integration and distribution emergency operations. Ten has secured over $6.5M in active funding including: $2M DOE grant (MTU portion $105,000) for CyDERMS Center on DERs/Microgrids cybersecurity $704,409 CyManII award for secure digitalization in smart manufacturing $1.05M DOE ARPA-E grant for decarbonized freight transportation modeling NSF CyberCorps Scholarship for Service program ($3.38M) His grants consistently address risk management through data-driven and physics-based modeling, with industry partnerships through PSERC and utility collaborations. As ICC CPS Center Director, he leads research on cyber-physical security testbeds and coordinates the PSERC Summer Transformation School. His team develops validation frameworks for NERC CIP compliance while addressing practical pain points in OT cybersecurity for grid operators.
Bert DE REYCK is the Dean of the Lee Kong Chian School of Business at Singapore Management University (SMU) and holds the rank of Professor of Operations Management. He holds a PhD in Business Economics from the University of Leuven, Belgium, along with an MSc in Business Information Systems and a BSc in Business Engineering from the same institution. His career includes roles as Founding Director and Professor at UCL School of Management (2015–2021), Professor and Head of Department at University College London (2009–2015), and various visiting professorships at institutions like London Business School and the University of Ghent. He has held academic positions since 1998, including Assistant and Associate Professor roles at prestigious institutions such as the London Business School and Rotterdam School of Management. DE REYCK’s research focuses on Operations Management, Business Analytics, and Project Management, with notable contributions to AI applications, transportation systems, and strategic sourcing. His work bridges theoretical rigor and practical impact, addressing challenges in project valuation, contract design, and operations optimization. He has received numerous accolades, including INFORMS’ AAS Best Paper Award (2022), multiple Daniel H. Wagner Prize recognitions, and teaching awards from London Business School and UCL. His research has been supported by grants from organizations like Eurocontrol, NHS, and private sector firms such as Vungle and Noble Group. DE REYCK has led significant industry collaborations, including projects on airport operations optimization, pharmaceutical R&D valuation, and AI-driven advertising strategies. His advisory work spans sectors like aviation, healthcare, and transportation, emphasizing real-world problem-solving through analytics and decision science.
Polemis Dionysios serves as an Associate Professor in the Department of Maritime Studies at the University of Piraeus, Greece, within the School of Shipping and Industry. His academic profile demonstrates a strong commitment to maritime education and research in the Greek academic context, contributing to one of the Mediterranean's leading institutions for maritime studies. Professor Polemis specializes in International Economics and Maritime International Trade, with research focusing on the intersection of global trade patterns and maritime transportation systems. His scholarly work examines how geopolitical shifts, economic policy uncertainty, and market dynamics impact shipping operations, particularly in the LNG sector. His research interests span shipping economics, maritime transport economics, port management, and the geopolitical dimensions of international maritime trade routes. His publications reveal a consistent focus on analyzing market patterns, regulatory compliance, and sustainability challenges within the maritime sector. His extensive publication record, spanning from 2001 to anticipated 2025 publications, demonstrates a comprehensive understanding of the maritime sector from operational, economic, and policy perspectives. Recent work shows increasing attention to emerging technologies in shipping and the evolving geopolitical landscape affecting global trade routes, particularly regarding LNG transportation and strategic maritime chokepoints like the Suez Canal. As an academic in the Department of Maritime Studies at the University of Piraeus, Professor Polemis contributes to the educational mission of an institution with a strong tradition in maritime education, situated in Piraeus—one of the Mediterranean's most important port cities. His work bridges theoretical economic concepts with practical applications in the shipping industry, providing valuable insights for both academic and industry stakeholders.
Scott Moura is a Professor in Civil and Environmental Engineering at the University of California, Berkeley, holding the Clare and Hsieh Wen Shen Distinguished Professorship. He serves as the Acting Director of the Institute of Transportation Studies (ITS) and directs the Energy, Controls, and Applications Lab (eCAL). Previously, he was Faculty Director of the California Program for Advanced Transportation Technology (PATH) starting January 2022, with recent news (June 2025) confirming new leadership roles at both ITS and PATH. Education: B.S. in Mechanical Engineering, University of California, Berkeley, 2006 M.S.E. in Mechanical Engineering, University of Michigan, Ann Arbor, 2008 Ph.D. in Mechanical Engineering, University of Michigan, Ann Arbor, 2011 Postdoctoral Fellow, University of California, San Diego, Cymer Center for Control Systems and Dynamics, 2013 Visiting Researcher, MINES ParisTech, Centre Automatique et Systèmes, Paris, 2013 Moura's research spans multi-scale energy systems: battery modeling and control at component level, electrified/connected vehicles at system level, and distributed energy resources/smart grid integration at grid scale. His work pioneers real-time battery health estimation, fast-charging algorithms, and vehicle-grid integration to enhance capacity, safety, and efficiency while minimizing degradation. Key methodological contributions include PDE control theory, adaptive control frameworks, and machine learning applications for energy storage systems. Scientific Awards: ASME Division of Control Systems Outstanding Young Investigator Award National Science Foundation CAREER Award NSF Graduate Research Fellowship UC Presidential Postdoctoral Fellowship University of Michigan Distinguished ProQuest Dissertation Honorable Mention University of Michigan Rackham Merit Fellowship College of Engineering Distinguished Leadership Award ITS Faculty of the Year Award (2020) As eCAL Lab Director, Moura mentors undergraduate/graduate students, postdocs, and visiting scholars in developing battery monitoring software and control systems. His research attracts significant funding including a $10M USDOT grant for rural autonomous vehicle freight (2025) and the I-40 Corridor SMART Grant (2024), with industry partnerships focused on practical deployment of energy management solutions. Current projects address EV longevity, HOV lane optimization via AI traffic signals, and climate impact assessments for California infrastructure. eCAL Lab operates at the forefront of energy systems research, combining theoretical control frameworks with experimental validation. The lab's work on battery degradation models directly informs industry practices, while its vehicle-grid integration research supports California's clean energy transition. Recent initiatives include KTH Royal Institute of Technology student exchanges and Bay Area climate impact assessments.
Shashi Shekhar is a Professor at the University of Minnesota, holding the distinguished titles of McKnight Distinguished University Professor and Distinguished University Teaching Professor. He serves as the ADC/CSE Chair and Director of the AI-LEAF Institute within the Department of Computer Science at the College of Science and Engineering. His research interests span multiple areas of spatial computing including spatial data science, spatial data mining, spatial databases, Geo-AI, and Geographic Information Systems (GIS). His work has focused on developing scalable algorithms for eco-routing, evacuation route planning, and spatial pattern mining. He has made significant contributions to the field through his Spatial Databases textbook, the Encyclopedia of GIS which has seen over 192,918 downloads in 2017, and a spatial computing book for professionals. His research group has produced numerous PhD graduates dating back to 1993 through 2023. Analysis of his recent publications reveals a strong focus on applying spatial computing to critical societal challenges including climate change mitigation through the AI-LEAF Institute, pandemic response through mobility data analysis, and sustainable transportation through eco-routing algorithms. His work bridges theoretical advances in spatial data science with practical applications in urban planning, emergency management, and environmental sustainability. Distinguished McKnight University Professor Distinguished University Teaching Professor UCGIS Education Award (2015) Graduate Education Award (2015) President of University Consortium for GIS (2017-2018) Computing Research Association Board Member (2016-2019) Professor Shekhar has advised over 30 PhD students since 1993, with his most recent graduate in 2023. He has secured significant research funding including a $20 million AI Institute grant focused on climate-smart agriculture and forestry. His Spatial Computing Research Group maintains active collaborations with government agencies and industry partners. The group has developed practical applications featured in media outlets including FoxTV coverage of evacuation route planning algorithms. Current research directions include applying AI techniques to address climate challenges through the AI-LEAF Institute and advancing spatial data science for polar regions through NSF-funded initiatives.
