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David Noyce is a Professor and Executive Director of the Traffic Operations and Safety (TOPS) Laboratory at the University of Wisconsin-Madison's Department of Civil & Environmental Engineering. He also serves as Associate Director of the Safety Research Using Simulation (SaferSIM) Center, a University Transportation Center. His work focuses on transportation safety, traffic operations, and automated/connected vehicle systems. Key roles include leading over $35M in research since 2003 through the TOPS Lab and advancing technologies like V2V/V2I communication, winter maintenance strategies, and work zone safety. Education: PhD (Texas A&M, 1999), MS (Civil Engineering, UW-Madison, 1995), MBA (UW-Whitewater, 1994), BS (UW-Madison, 1984). Research interests span traffic control devices, driver behavior analysis, crash reconstruction, and multi-modal transportation systems. He pioneered the national implementation of flashing yellow arrow signals and developed the Wisconsin Connected and Automated Transportation Consortium. Current projects include C-V2X localization frameworks, automated vehicle safety testing, and winter maintenance efficiency. Recognized with 20+ awards, including ITE and ASCE Fellowships and the Dr. Arthur F. Hawnn Professorship. His labs offer full-scale driving simulators and field-testing capabilities for real-world validation of innovations.

• Transportation Safety
• Traffic Operations
• Vehicle-to-Infrastructure Communication
• +5 more

Erhan Kutanoglu is an Associate Professor in the Operations Research and Industrial Engineering Graduate Program at The University of Texas at Austin's Cockrell School of Engineering. He joined the faculty in 2002 and received a National Science Foundation Early Career Development Award that year. His research focuses on integrating predictive models with stochastic optimization to address challenges in disaster resilience, humanitarian logistics, and semiconductor manufacturing. Key areas include hurricane mitigation, power grid resilience, and supply chain optimization. Education: PhD in Industrial Engineering from Lehigh University (1999). Research Interests: Applied operations research for manufacturing/service logistics, disaster resilience decision-making, semiconductor cycle time optimization, and inventory modeling. Recent work emphasizes hurricane evacuation planning, flood mitigation for critical infrastructure, and equity considerations in grid resilience. Publications: Over 50 peer-reviewed articles in journals like IEEE Transactions, European Journal of Operational Research, and Annals of Operations Research. Notable work includes models for power grid resilience, patient evacuation strategies, and semiconductor manufacturing efficiency. Awards: NSF CAREER Award (2002), recognized for contributions to service logistics optimization and stochastic modeling. Advising & Grants: Advised graduate students on projects involving hurricane preparedness and semiconductor scheduling. Active in collaborative research with industry partners to streamline manufacturing processes and enhance disaster response systems. Labs/Teams: Engaged with the Cockrell School's infrastructure resilience research groups and interdisciplinary teams addressing climate adaptation challenges.

• Operations Research
• Disaster Resilience
• Supply Chain Management
• +3 more

Dr. XiaoYue Cathy Liu is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Utah. She holds a PhD in Transportation Engineering from the University of Washington and advanced degrees in Transportation Planning and Electronics Engineering. Her research focuses on sustainable transportation systems, shared mobility, public transit optimization, managed lanes, and intelligent transportation systems. She actively serves on committees including the Transportation Research Board's Highway Capacity Quality of Service (HCQS) Committee and chairs its Technology Transfer Subcommittee. She also advises the Utah Model Advisory Committee and previously served on Salt Lake City’s Transportation Advisory Board. Dr. Liu is a licensed professional engineer in Utah. Education: PhD, Transportation Engineering, University of Washington (2013) MA, Transportation Planning & Management, Texas Southern University BS, Electronics & Electrical Engineering, Beijing Jiaotong University Graduate Certificate, Global Trade & Logistics, University of Washington (2011) Research Interests: Electric vehicle infrastructure and charging networks Smart transportation systems and agent-based modeling GIS-based asset management for transportation infrastructure Snowplowing operations optimization and winter maintenance Managed lanes and high-occupancy toll (HOT) lane analysis Public transit equity and accessibility Her recent publications emphasize data-driven approaches to transportation challenges, including EV demand forecasting, drone delivery networks, and resilience in interdependent transit systems. She collaborates on projects addressing Utah’s unique transportation needs, such as optimizing snowplow routes and integrating renewable energy into public transport systems. Professional Contributions: Board member, Utah Model Advisory Committee Former Chair, Salt Lake City Transportation Advisory Board (2013-2016) TRB Managed Lane Committee member TRB Transit Capacity & Quality of Service (TCQS) Committee member (2016-2019) Dr. Liu’s work bridges transportation engineering with computational methods, focusing on equity, sustainability, and operational efficiency. She leads research initiatives involving large-scale modeling, geospatial analytics, and interdisciplinary solutions for modern mobility challenges.

• Sustainable Transportation Systems
• Shared Mobility
• Public Transit Planning
• +7 more

Kunhee (KC) Choi is a Professor in the Department of Construction Science at Texas A&M University, holding the History Maker Homes Endowed Professorship and serving as a Chancellor EDGES Fellow. His research focuses on enhancing transportation systems through cyber-enabled solutions, including digital twinning, artificial intelligence, and data-driven modeling. B.E. in Architectural Engineering, Korea University (1999) M.S. in Construction Science, Texas A&M University (2002) Ph.D. in Civil and Environmental Engineering, University of California, Berkeley (2008) Dr. Choi’s work addresses four key areas: (1) AI-powered mobility and safety solutions for highway projects, (2) cost-time-risk tradeoff analyses under alternative contracting methods, (3) infrastructure sustainability through life-cycle assessment, and (4) stochastic modeling for civil planning and management. His research has been funded by NSF, USDOT, NCHRP, and TxDOT. Recent publications highlight his emphasis on predictive analytics, flood resilience, pavement engineering, and AI-driven disaster recovery frameworks. The i²dEAS Lab, which he directs, has produced 130+ peer-reviewed publications and secured $500k+ in annual research funding. Chancellor EDGES Fellow (2022) NSF Grant Recipient for Road Safety Research Texas Sea Grant Program Award (NOAA Funding) for AI-based evacuation route modeling Dr. Choi’s teaching philosophy emphasizes integrative learning and interdisciplinary critical thinking in construction management. His lab collaborates with academia, government, and industry to optimize transportation infrastructure performance through safer, more efficient management strategies.

• Artificial Intelligence in Transportation
• Construction Management
• Infrastructure Sustainability
• +6 more

Marco Barla is a Full Professor of Geotechnical Engineering at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic of Turin, where he also leads a research group focused on energy geostructures, tunneling, slope stability, and numerical modeling. He serves as Editor-in-Chief of the ASCE International Journal of Geomechanics and holds leadership roles in international organizations such as the International Society for Energy Geostructures (President, 2025–2029) and ELGIP (Past President). He is actively involved in multiple EU and national research projects, including GEOREFIT, REGENERATE, and FOLIAGE. Research Interests: Thermoactive geostructures for shallow geothermal energy Tunnel design and construction under challenging conditions Real-time detection of debris flows and snow avalanches using fiber optics Numerical modeling of geotechnical systems Energy retrofitting of existing underground infrastructure His recent publications (2024–2025) demonstrate a strong focus on sustainable urban development through geothermal energy integration, particularly in tunnels and buildings. Key themes include energy geostructures, thermal storage, landslide monitoring, and climate resilience, reflecting his commitment to SDGs 7, 9, 11, and 13. He frequently publishes in top venues such as Tunnelling and Underground Space Technology , Geothermics , and Landslides . Scientific Awards: Telford Premium, Institution of Civil Engineers (2016) IACMAG Excellent Contributions Award (2011) Best Paper, 11th ISRM Congress (2007) Iacmag Award (2005) Top 5 Project Nominee, European Geothermal Innovation Award (2018) Advising and Grants: He supervises multiple PhD students in civil and environmental engineering and has led over 70 research projects, securing more than 2 M€ in funding from national and international sources. His projects span fundamental research (e.g., PRIN, H2020) and applied consulting (e.g., tunnel safety, landslide risk, structural monitoring). He is the scientific responsible for numerous contracts with public and private entities, including Autostrade per l’Italia and regional governments. Labs and Teams: He leads the Rock Mechanics and Rock Engineering research group at Politecnico di Torino ( www.rockmech.polito.it ), which conducts laboratory testing, field monitoring, and numerical simulations. The team is active in international collaborations and coordinates the COST Action FOLIAGE, dedicated to scaling up energy geostructure deployment.

• Geotechnical Engineering
• Geothermal Energy
• Energy Geostructures
• +12 more

Dr. Patrick S. Market is a Professor of Atmospheric Science and currently serves as the Director of the School of Natural Resources at the University of Missouri. He also acts as Interim Co-Director of the Missouri Water Center. His research focuses on synoptic and mesoscale dynamics, particularly winter weather, heavy rainfall, flash flooding, and severe local storms. He has contributed to advancements in precipitation efficiency studies and operational forecasting techniques. His work explores the role of artificial intelligence in weather prediction and communication, emphasizing the continued importance of human expertise in an automated forecast process. Dr. Market has secured grants for data stream maintenance and digital equity planning, and he has led educational initiatives integrating research into synoptic meteorology classrooms. Notable collaborations include projects with the National Weather Service and studies on the Ozark Plateau's topographical influence on weather systems.

• Synoptic and Mesoscale Dynamics
• Winter Weather
• Heavy Rainfall
• +6 more

Alp Akcay is an Associate Professor of Industrial Engineering at Northeastern University's College of Engineering in Boston, USA. He specializes in smart manufacturing systems and supply chain optimization using stochastic operations research, machine learning, and simulation techniques. His research collaborations with semiconductor firms like NXP, Nexperia, and ASML have produced data-driven solutions for production planning, predictive maintenance, and obsolescence management. Education: PhD in Operations Management and Manufacturing from Carnegie Mellon University. Research interests include digital twin technologies, semiconductor manufacturing processes, and Industry 4.0 applications. He currently serves as Associate Editor for the Journal of Simulation and coordinates the Manufacturing & Industry 4.0 track at the Winter Simulation Conference. Professional affiliations: INFORMS, INFORMS QSR Society, I-SIM (INFORMS Simulation Society).

• Simulation-based optimization
• Digital twins
• Data analytics
• +3 more

Eirin Olaussen Ryeng is a Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU). Her work focuses on transportation engineering, road safety, and human behavior in urban and rural mobility contexts. Key research themes: winter road conditions, autonomous vehicles, cyclist/pedestrian safety, route familiarity, and sustainable transport infrastructure Active in transnational studies and multidisciplinary collaborations Recent publications analyze pedestrian gait in winter, cargo bike efficiency, driver risk perception, and geometric road design impacts. She employs advanced methodologies like sensor technology, survey analysis, and crash-based modeling. Teaching includes courses on road engineering, traffic safety, and transport infrastructure. She has presented at major European Transport Conferences and Nordic Traffic Safety Academy seminars.

• Transportation Engineering
• Road Safety
• Pedestrian and Cyclist Behavior
• +4 more

Tae J. Kwon is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta . His research spans Winter Transportation Engineering , Intelligent Transportation Systems (ITS) , Traffic Optimization , and Geospatial Information Science . Developed LoRWIS , a web-based decision support system for road weather sensor optimization Recipient of multiple awards including ITS Canada Excellence in Research and Development Award (2024) , KOFST Scientist of the Year (2024) , and Early Career Research Award (University of Alberta, 3 times) Active in professional committees like the TRB Surface Transportation Weather Research Group (2016–present) Research Highlights : Winter Road Maintenance : Advanced geostatistical and deep learning techniques for road condition monitoring Location Optimization : Pioneered models for RWIS sensor placement using hybrid geostatistical methods Intelligent Transportation Systems : Focused on big data applications for traffic safety and connected vehicles Climate Resilience : Integrated ecological vulnerability into fire hazard modeling Scientific Awards : ITS Canada Excellence in Research (2024) KOFST Scientist of the Year (2024) Donald Stanley Best Paper Award (2023) AKCSE Early Achievement Award (2021) University of Alberta Early Career Research Award (2020) Great Supervisor Award (2019) Teaching & Leadership : Teaches courses like CIV E 419 (Transportation Engineering: Highway Planning and Design) and CIV E 612 (Transportation Planning: Methodology and Techniques) Leads the Geospatial Transportation System & Sensing Solutions Lab (GeoTrans) , mentoring PhD students Juan Cuellar and Jiehao Bi Collaborates with agencies including Alberta Transportation , NSERC , and Iowa DOT

• Transportation Engineering
• Location Optimization
• Geospatial Information Science
• +4 more

Jonathan Regehr is Professor and Associate Head (Undergraduate) in Civil Engineering at University of Manitoba's Price Faculty of Engineering. He holds BSc and PhD degrees in Civil Engineering from University of Manitoba. His research examines transportation information systems, freight logistics, railway operations, and road safety. As Co-Director of Urban Mobility and Transportation Informatics Group, he collaborates with government and industry partners to develop data-driven solutions for transportation policy challenges. Recent publications focus on freight system resilience, rail corrugation management, and traffic monitoring innovations. His work frequently addresses cold-region transportation challenges and has been recognized with nominations for Transportation Research Board awards. Professor Regehr serves as Vice-President of Heavy Vehicle Transport and Technology Forum and actively contributes to transportation policy development through committee leadership.

• Transportation Information Systems
• Freight Transportation
• Railway Engineering
• +2 more

Mohammad Dehghani is an Associate Teaching Professor in the Department of Mechanical and Industrial Engineering at Northeastern University, where he also serves as Program Director of the Galante Engineering Business Program. He holds a Ph.D. in Engineering Management from Western New England University (2016), an M.S. in Industrial Engineering from Tarbiat Modares University (2011), and a B.S. in Industrial Engineering from Yazd University (2008). His research focuses on Reinforcement Learning (RL), Simulation Optimization, and Healthcare Operations, with applications in manufacturing, digital twin systems, and UAV routing. He has developed multiple courses in Industrial Engineering and Data Analytics, receiving the 2020 Fostering Engineering Innovation in Education Award and the 2025 DAIS Data Analytics Teaching Award. Education: Ph.D. in Engineering Management, Western New England University, 2016 M.S. in Industrial Engineering, Tarbiat Modares University, 2011 B.S. in Industrial Engineering, Yazd University, 2008 Dehghani’s research bridges AI and operations research, emphasizing practical applications. His work includes developing RL frameworks for manufacturing scheduling and UAV routing, as well as simulation-optimization models for healthcare and pandemic preparedness. He has collaborated on projects addressing supply chain resilience during the COVID-19 pandemic and multi-objective supplier selection processes. His publications span journals like Simulation and conferences such as Winter Simulation Conference (WSC). His honors include the 2015 Best Ph.D. Paper Award at WSC and recognition from the Institute of Industrial and Systems Engineers (IISE). He actively contributes to professional societies, including the American Society of Engineering Management and Institute of Industrial Engineers. His teaching focuses on integrating data analytics and simulation tools into engineering curricula, with courses emphasizing Python integration, simheuristics, and digital twin technology. Dehghani leads initiatives in the Galante Program to enhance engineering-business synergies, preparing students for industry roles through interdisciplinary training. His work emphasizes practical problem-solving, with grants supporting projects in healthcare logistics and sustainable construction in cold climates.

• Reinforcement Learning
• Simulation Optimization
• Healthcare Operations
• +5 more

Bruce Saxman is a Senior Lecturer in Adventure Education at Fort Lewis College, where he coordinates the interdisciplinary Fort Lewis on the Water (FLOW) program. With over two decades of experience in outdoor education, he has held administrative and teaching roles at multiple institutions, developing competency-based training systems and adventure curriculum. Education: M.A. in Recreation Administration, University of Nebraska-Omaha B.S. in Parks, Recreation, and Tourism Management (Resource Management Emphasis) with Anthropology Minor, Clemson University Research Interests focus on outdoor education methodology , adventure program administration , and experiential learning systems . His work explores digital education platforms, risk management protocols, and leadership development frameworks in outdoor settings. Professional Affiliations include the American Institute for Avalanche Research and Education (AIARE), American Canoe Association (ACA), and American Mountain Guides Association (AMGA). His publications address technical training systems, program development, and safety innovations in adventure education.

• Outdoor Education
• Adventure Education
• Experiential Learning
• +3 more

Dr. Pascal Reuss is a Researcher at the Intelligent Information Systems (IIS) Division within the Institute of Computer Science , University of Hildesheim . His work focuses on Case-Based Reasoning (CBR) systems, Multi-Agent Systems , and Knowledge Management applications. Active in CBR framework development and game-based AI research Teaching Computer Science III (Databases) for winter 2025/26 Participating in university sustainability initiatives like Stadtradeln 2024/25 Reuss contributes to AI education through practical implementations in gaming environments and has developed visualization tools for CBR agent behavior. His research spans multi-agent collaboration , dynamic case bases , and domain-specific language implementations for knowledge maintenance. Notable contributions include: Co-developing the FEATURE-TAK framework for knowledge extraction Designing case factories for distributed CBR systems Implementing finite state machines for tactical game agents Creating CBR-based fitness planning systems His work appears in various CBR and Game Development publications from 2011-2024. The research demonstrates practical applications of CBR in aircraft maintenance diagnostics , training plan generation , and educational technology contexts.

• Case-Based Reasoning (CBR)
• Artificial Intelligence
• Multi-Agent Systems
• +4 more

Babak Mehran is an Associate Professor in the Department of Civil Engineering at the University of Manitoba (Price Faculty of Engineering). He holds a PhD in Civil Engineering from Nagoya University (2009). His research focuses on transportation network resilience, big data analytics, and AI-driven solutions for traffic management. He leads the Urban Mobility and Transportation Informatics Group (UMTIG), collaborating with government and industry on applied transportation research. Key research areas include autonomous vehicle integration, cold-region traffic vulnerability, and optimization of public transit systems. Dr. Mehran has advised graduate students on topics like traffic safety, sensor placement, and semi-flexible transit design. His work bridges theoretical models (e.g., reinforcement learning algorithms) with real-world applications such as winter road maintenance strategies and transit demand analysis. Recent publications emphasize AI-driven traffic prediction, climate adaptation for infrastructure resilience, and safety metrics for truck operations in harsh environments. He collaborates internationally on transportation policy and has contributed to methodologies for evaluating congestion relief strategies using travel time reliability analysis. Lab: Urban Mobility and Transportation Informatics Group (UMTIG) Key Partners: Government agencies, transportation industries, academic collaborators Current Focus: Autonomous shared mobility, cold-climate traffic systems, data fusion for traffic monitoring

• Transportation Network Resilience
• Big Data Analytics in Transportation
• Autonomous and Connected Vehicles
• +4 more

Dr. Munir Nazzal is a Professor of Civil Engineering and Director of the Center for Smart, Sustainable & Resilient Infrastructure (CSSRI) at the University of Cincinnati. His research focuses on sustainable transportation infrastructure, pavement engineering, and innovative materials technology. He leads over $13M in grants from federal and state agencies, specializing in asphalt mixtures, pavement performance, and smart infrastructure. He serves as Principal Investigator (PI) on numerous projects, including optimizing maintenance equipment tracking, evaluating micro-surfacing bond strength, and developing AI-driven pothole detection systems. Nazzal is an editor for the ASCE Journal of Materials in Civil Engineering and Buildings Journal, and a licensed professional engineer in Ohio and Louisiana. His work integrates emerging technologies like IoT and autonomous vehicles for infrastructure monitoring. Key contributions include field validation of robotic crack sealing, analysis of aramid fibers in asphalt, and lifecycle cost studies of winter pothole patching methods. His research emphasizes cost-effective, environmentally friendly solutions for local and state transportation systems. Recent grants include a $600,000 federal project for district highway maintenance research, and a $1.2M study on robotic crack sealing methods. He collaborates with industry partners like Honda on vehicle-based roadway data pilots. Nazzal's lab explores nanoscale asphalt properties, thermal expansion effects, and recycled material utilization in pavements.

• Transportation Engineering
• Civil Engineering
• Pavement Engineering
• +4 more