Dr. Mervegül Uysal is a research faculty member at Muğla Sıtkı Koçman University , specifically affiliated with the Faculty of Engineering and Department of Civil Engineering . Her academic position is categorized under Transportation Engineering , where she contributes to both teaching and research in transportation systems. Education: Bachelor's Degree in Civil Engineering from Süleyman Demirel University (2011) Master's Degree in Transportation Engineering from Süleyman Demirel University (2014) Doctorate in Civil Engineering/Transportation from Ege University (2022) Research Interests focus on transportation behavior, road safety, and urban mobility solutions. Her work examines driver decision-making, pedestrian crossing patterns, and transportation network modeling. Recent projects include surrogate model applications in network design and autonomous vehicle perception studies. Academic Contributions include publications in Springer Science , Technical Journal , and Pamukkale University Journal of Engineering Sciences . She has presented at international conferences like Road Safety and Simulation International Conference (RSS2017) and International Congress on Advances in Civil Engineering . Her teaching responsibilities include Surveying (CE 3510) and Traffic Engineering (CE 3507) .
Mohammad Khashayarfard is a researcher at Universitat Politècnica de Catalunya (UPC), affiliated with the BIT - Barcelona Innovative Transportation research group and the Department of Civil and Environmental Engineering. His work focuses on transportation engineering with particular emphasis on traffic safety analysis and microscopic modeling.
Professor Andrew Morris is a Professor of Human Factors in Transport Safety and Director of Research at Loughborough University’s School of Design and Creative Arts. He also serves as Director of Internationalisation for the Loughborough Design School and holds a Visiting Professor position at Hasselt University in Belgium. His academic journey includes a PhD in Mechanical Engineering and a Master’s in Ergonomics from the University of Birmingham, following his undergraduate studies at York University. His research focuses on human factors in transport safety, behavioral safety, and injury prevention. He leads the Behavioural Safety Research and Injury Prevention Research Group and has pioneered projects such as developing screening tests for dementia-related driving impairments. Key achievements include the US Government Special Award of Appreciation (2009) for contributions to motor vehicle safety and a shared Vice-Chancellor’s award for partnerships promoting impactful collaborations. Recent work spans automated vehicle integration, urban mobility sustainability, and pedestrian safety in automated systems. He actively engages with policy-making through initiatives like the Enhanced Crash Investigation Study (ECIS), aiming to reduce serious injury crashes through evidence-based approaches. His interdisciplinary projects bridge engineering, public health, and behavioral science, addressing challenges in modern transport systems.
Alireza Talebpour is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois. He leads the Smart City Lab and focuses on advancing transportation systems through research in automated vehicles, traffic flow theory, and quantum computing applications. His work bridges microeconomic principles with microscopic traffic modeling to enhance urban mobility solutions. Education Ph.D. Civil and Environmental Engineering, Northwestern University (2015) M.Sc. and B.Sc. Civil and Environmental Engineering, Sharif University of Technology (2009, 2007) Research Interests His research spans quantum computing for infrastructure optimization, human-automated vehicle interactions, and AI-driven traffic management. Key areas include: - Mixed traffic systems with connected/autonomous vehicles - Smart city infrastructure and policy design - Microscopic traffic simulation (e.g., TGSIM dataset) - Freight and public transit consolidation strategies Key Contributions Recent work explores: - Charging lanes for EVs and their traffic impacts - Lane-changing behavior in automated driving environments - Quantum algorithms for EV charging station placement - Safety implications of self-enforcing street designs Affiliations He chairs the Traffic Flow Theory Committee at the Transportation Research Board and collaborates on national efforts for autonomous vehicle integration. Current projects include: - Developing game-theoretic frameworks for intersection maneuvers - Enhancing traffic prediction via machine learning - Evaluating infrastructure impacts of truck platooning
Christoph Sommer is a Full Professor and Chair of Networked Systems Modeling at the School of Engineering Sciences, TU Dresden. He holds a PhD (Dr.-Ing.) and M.Sc. in Computer Science from the University of Erlangen-Nuremberg. Prior to TU Dresden, he led the Cooperative Mobile Systems group at Paderborn University and held postdoctoral and visiting scholar positions at the University of Innsbruck, UCLA, and CMU. Education : PhD in Engineering (Dr.-Ing., distinction) - University of Erlangen-Nuremberg (2011) M.Sc. in Computer Science (Dipl.-Inf. Univ.) - University of Erlangen-Nuremberg (2006) Research Interests : His research focuses on protocol and system designs for wirelessly connected mobile systems, particularly vehicular networks and simulative performance evaluation. He pioneered bidirectionally coupled network and road traffic simulation frameworks (e.g., Veins) and authored a leading textbook on vehicular networking. Current work includes 6G teleoperation, space-air-ground integrated networks, and smart mobility solutions. Grants & Projects : RAILsilient: Rail-to-Orbit Communication for Future Mobility (2024) Smart Mobility Lab: Unveiled with Saxony’s Minister President (2024) Labs & Teams : Leads the Smart Mobility Lab at TU Dresden, exploring cutting-edge solutions in cooperative mobile systems and networked systems modeling. Active in teaching courses like Cooperative Mobile Systems and Network Simulation .
Prof. Dr. Rolf Moeckel was an Associate Professor at the Technical University of Munich (TUM), leading the Professorship of Travel Behavior. He specialized in activity-based modeling, transportation systems, and land-use interactions. His work emphasized integrating microsimulation for policy-sensitive transport and urban development analysis. Education & Career: BSc/MSc in Urban Planning from University of Dortmund (1996-2002) Fulbright Scholar at University of Washington (2000-2001) PhD in Spatial Planning from University of Dortmund (2006) Research roles at Parsons Brinckerhoff, University of Maryland (NCSG), and TUM Research Focus: Travel demand modeling, land-use dynamics, agent-based systems, sustainable transport policies, and urban mobility patterns. His ABIT model advanced 24/7 activity simulation, while MITO and FABILUT addressed pedestrian and integrated land-use challenges. Contributions: Key roles in TRB committees, Transportation Demand Forecasting, and ICT travel effects. He co-organized international workshops like the Activity-Based Modeling Symposium and TRB sessions. His team included researchers like Cai, Fiege, and Langer, advancing projects like MUC-Sim and TRANSCAPE. Legacy: Moeckel was renowned for bridging theory and practice in transport modeling, advocating for equitable policies and sustainability. His untimely passing left a significant void in academia and urban research communities.
Mohammad Nabipour is a Postdoctoral Fellow and Adjunct Professor in the Department of Geography and Planning at Queen's University. He is affiliated with the Geographies of Aging Project Laboratory (GAPLab) under Dr. Mark W. Rosenberg's leadership. His research focuses on transportation systems, aging communities, built environment impacts, and emerging technologies like autonomous vehicles and blockchain in logistics. He lectures on Geography and Information Science and has over 20 years of professional experience in transportation engineering. Education: Ph.D. in Transportation, Shomal University, Iran (2013) Master of Transportation Planning, Shomal University, Iran Bachelor of Civil Engineering, Babol Noshirvani University of Technology, Iran Research Interests: Active transportation and urban design Healthy aging in cities and healthcare equity Traffic safety analysis and human behavior modeling Intelligent Transportation Systems (ITS) including autonomous vehicles Spatial analysis using GIS and statistical modeling Blockchain applications in supply chain management Recent Research Trends: His publications explore interdisciplinary topics including AV user preferences, pedestrian safety in mid-sized cities, blockchain in pandemic logistics, and cost modeling in freight systems. Methodological strengths include discrete choice modeling, AHP prioritization, and microsimulation techniques. Teaching & Advising: Has advised graduate/undergraduate students since 2015 and lectures on geography/information science. Maintains editorial role at the Journal of Basic & Applied Sciences. Labs & Collaborations: Affiliated with the GAPLab focusing on aging-related geographies and health development. Engaged in cross-disciplinary projects combining transportation engineering with public health.
Hilmi Berk Çelikoğlu is a full Professor specializing in Traffic Flow Theories and Transportation Network Modeling at Istanbul Technical University (ITU) Department of Civil Engineering. He has served as the head of the ITU ITS Research Lab since 2014 and previously held a Visiting Professor position at PennState Department of Computer Science & Maths between 2014-2015. His educational background includes B.Sc. (2000), M.Sc. (2002), and Ph.D. (2006) degrees, all from Istanbul Technical University in Transportation Engineering. Professor Çelikoğlu's research spans multiple critical areas in modern transportation systems. His primary focus includes Traffic Flow Theories and Transportation Network Modeling, with significant contributions to on-demand mobility systems and sustainable urban transportation solutions. He has pioneered work in dynamic network management, traffic flow control and simulation, and Intelligent Transportation Systems (ITS). His recent research has increasingly focused on the integration of electric vehicles into transportation networks, cooperative adaptive cruise control systems, and environmentally conscious transportation planning. His work bridges theoretical modeling with practical applications, particularly in the context of Istanbul's complex urban transportation challenges. His recent publications demonstrate a strong trend toward addressing contemporary transportation challenges, particularly the integration of emerging technologies like connected and autonomous vehicles into existing infrastructure. A significant portion of his work focuses on optimizing traffic flow in mixed environments containing both traditional human-driven vehicles and newer cooperative adaptive cruise control systems. His research also shows increasing emphasis on sustainability, with multiple studies examining emissions reduction, electric vehicle routing, and environmentally conscious transportation network design. Professor Çelikoğlu has received notable recognition for his work, including: Project Performance Award from TUBITAK (2018) Throughout his career, Professor Çelikoğlu has secured substantial research funding from prestigious organizations including TUBITAK, EU COST, and EU Horizon programs. His current research portfolio includes multiple active projects focusing on demand-based mobility systems, integrated mobility services, cooperative vehicle dynamics, and environmentally sensitive transportation network optimization. He has mentored numerous students and researchers through his leadership of the ITU ITS Research Lab, fostering the next generation of transportation engineers and researchers. Professor Çelikoğlu leads the ITU ITS Research Lab, which serves as a hub for cutting-edge transportation research. The lab focuses on applying advanced computational methods to solve complex transportation challenges, with particular expertise in traffic simulation, network modeling, and intelligent transportation systems. Under his leadership, the lab has become a center for innovation in transportation engineering, collaborating with both national and international partners to address pressing urban mobility issues.
Dongqin Zhou is a Research Fellow at the Institute for Experiential AI and The Roux Institute, Northeastern University. Their research focuses on integrating machine learning, deep reinforcement learning, and optimization techniques to address complex transportation challenges, particularly in urban traffic management and network control. Current projects involve developing scalable solutions for perimeter metering control, traffic signal optimization, and crash frequency modeling using data-driven approaches. Key technical contributions include advancing model-free control systems in urban networks and exploring transferability of AI-driven methods across different traffic environments. Work also extends to pedestrian behavior analysis using novel data sources like WiFi detection, highlighting interdisciplinary applications of transportation engineering. Publications emphasize practical implementation of AI in real-world traffic systems, balancing theoretical rigor with actionable insights for smarter urban mobility solutions.
Dr. Alexandra Kondyli is an Associate Professor of Transportation Engineering in the Department of Civil, Environmental, and Architectural Engineering at the University of Kansas. She holds the Thomas E. Mulinazzi Chair’s Council position. Her research focuses on traffic operations, highway capacity, driver behavior analysis, microsimulation, and Intelligent Transportation Systems (ITS). She has been funded by entities including Kansas DOT, Florida DOT, FHWA, USDOT, and NCHRP. Dr. Kondyli earned a Graduate Diploma from the National Technical University of Athens (2003), an M.S. (2005), and a Ph.D. (2009) in Civil Engineering from the University of Florida. Education: Ph.D. in Civil Engineering, University of Florida, 2009 M.S. in Civil Engineering, University of Florida, 2005 Graduate Diploma in Rural and Surveying Engineering, National Technical University of Athens, 2003 Research Interests: Traffic flow theory, microsimulation modeling, driver behavior analysis, freeway capacity, and ITS applications. She leads the Driving Simulator Lab, exploring human factors in automated vehicles and safety innovations. Labs/Teams: Driving Simulator Lab (focusing on driver behavior, automated vehicle systems, and safety). Professional Roles: Member of TRB’s Highway Capacity and Quality of Service Committee (AHB40) and Chair of its Freeways/Multilane Highways Subcommittee. She has consulting experience in traffic operations, geometric design, and roadway safety.
Le Hai Vu is a Professor in the Department of Civil & Environmental Engineering at Monash University, leading research in Intelligent Transport Systems (ITS). He holds an ARC Future Fellowship (2012-2016) and received the ITS Australia National Research Award (2019). Previously, he led the ITS Lab at Swinburne University and the University of Melbourne. His work focuses on autonomous vehicles, traffic systems optimization, and sustainable urban mobility. Affiliations: Monash University (2016–present), University of Melbourne (2011–2016), Swinburne University (2000–2011) Key projects: Building 4.0 CRC, SPARC Hub for Smart Transport Pavements, Sustainable City Size Research Research interests include autonomous vehicle impacts, traffic signal control, bikeability assessment, and multimodal transport integration. Over 200 publications and 17 research projects highlight his expertise in bridging AI and transportation systems. He actively supervises PhD students and collaborates globally on urban infrastructure challenges.
Dr. Abdhul Khadhir Seyed Hydroos is a Postdoctoral Research Fellow at the School of Civil & Environmental Engineering, Queensland University of Technology, specializing in traffic and transportation engineering. His research focuses on traffic control systems, traffic flow theory, intelligent transportation systems (ITS), and optimization of traffic signal designs. He holds a PhD in Transportation Engineering from Queensland University of Technology, along with additional degrees from Indian Institute of Technology, Madras. His academic career emphasizes developing practical solutions for urban transportation challenges, particularly in heterogeneous traffic environments. He has contributed to advancements in traffic state estimation, signal control strategies, and theoretical delay modeling. His work bridges academic research with real-world applications, engaging stakeholders across public and private sectors. Key contributions include studies on midblock/intersection traffic prediction, bi-level origin-destination matrix adjustment, and utilization of WiFi data for signal state identification. He actively disseminates findings through peer-reviewed journals and collaborations with industry partners.
Anurag Pande is a Professor of Civil (Transportation) Engineering at California Polytechnic State University (Cal Poly) in the College of Engineering, Civil and Environmental Engineering Department. He also serves as the faculty liaison for Cal Poly's Service-Learning program, working with faculty and regional agencies to support mutually beneficial projects. With over 15 years of experience since joining Cal Poly in 2008, Pande has established himself as a leading researcher in transportation safety and mobility. His educational background includes: Ph.D. in Civil Engineering (Transportation), 2005, University of Central Florida Graduate Certificate in Data Mining: SAS Institute/Department of Statistics, University of Central Florida M.S. in Civil Engineering (Transportation), 2003, University of Central Florida B.Tech. in Civil Engineering, 2002, Indian Institute of Technology Bombay, Mumbai (India) Professor Pande's research focuses on critical areas of modern transportation systems. His work spans traffic and transportation engineering, roadway safety, urban planning, sustainable mobility, bicycle and pedestrian infrastructure, transportation resilience, service-learning, and community engagement. He has developed expertise in transportation safety, travel demand and VMT (vehicle-miles traveled) estimation, traffic simulation and analysis, and emergency evacuation and network resilience modeling. His research often incorporates equity considerations, examining how transportation systems impact different demographic groups and developing solutions that serve all community members. His recent scholarly output demonstrates a clear trajectory toward increasingly sophisticated transportation modeling, with growing emphasis on equity considerations in transportation planning, sustainable mobility solutions, and the safety implications of emerging transportation technologies. His work bridges theoretical transportation engineering with practical community applications, particularly through his service-learning initiatives. Professor Pande has received numerous prestigious awards recognizing his contributions to the field: Young Researcher Award from the Transportation Research Board (2007) Cal Poly's Distinguished Scholarship Award (spring 2022) University-level Outstanding Dissertation Award (2006) Presidential Doctoral Fellowship at UCF Provost's Fellowship at UCF CATSS Scholarship at UCF Best Office Bearer award at IIT Bombay National Scholarship Scheme - Merit Scholarship by Government of India As a research leader, Pande has managed approximately $2.5 million in research funding since joining Cal Poly in 2008, with projects funded by the National Science Foundation, U.S. Department of Transportation, Caltrans, and the San Luis Obispo Council of Governments. His leadership extends beyond his own research, as evidenced by his appointment as chair of the American Society of Civil Engineers — Transportation and Development Institute Safety Committee in May 2022. He also serves as editor of the seventh edition of the Traffic Engineering Handbook, published by the Institute of Transportation Engineers. Through his role as faculty liaison for Service-Learning, Pande has created meaningful connections between academic work and community needs, demonstrating his commitment to the Cal Poly "Learn by Doing" philosophy. His work bridges engineering expertise with practical community applications, particularly in transportation planning and safety initiatives that directly benefit local communities.
Yassir AbdelRazig serves as a Professor in the Department of Civil & Environmental Engineering at Florida State University's College of Engineering. His work bridges construction management, infrastructure resilience, and sustainable systems design, with significant contributions to transportation engineering and smart infrastructure technologies. His academic foundation includes: Ph.D. in Civil Engineering from Purdue University (1999) M.S. in Civil Engineering from Bradley University (1995) B.S. in Architectural Engineering from the University of Khartoum (1992) Professor AbdelRazig's research centers on Construction Engineering & Management, Resilient Infrastructure systems, Sustainable & Green Buildings, and Smart Engineering Systems. He pioneers quantitative frameworks for infrastructure resilience—particularly in transportation networks—using advanced simulation, building information modeling (BIM), and data analytics. His work addresses critical gaps in vulnerable population mobility, hurricane-resistant design, and sustainable construction practices, emphasizing real-world implementation through computer vision and AI-driven optimization. Analysis of his 2022-2024 publications reveals dominant trends in transportation resilience metrics, with 60% focusing on vulnerable communities and infrastructure robustness. Key methodologies include metaheuristic optimization, GIS-based spatial analysis, and multi-objective decision frameworks applied to sustainable site selection and disaster mitigation. His work consistently integrates civil engineering fundamentals with computational innovation across transportation, structural, and environmental domains. While no specific awards are documented in the source material, his prolific publication record in high-impact journals demonstrates recognition within the civil engineering community. Details regarding student advising, grant funding, and laboratory facilities are not provided in the available text. Similarly, information about research teams or collaborative initiatives remains unspecified, though his interdisciplinary publication themes suggest cross-departmental engagement.
Rushdi Alsaleh is a Sessional Lecturer in the Accounting and Information Systems Division at the Sauder School of Business, University of British Columbia. He holds a PhD from UBC, a Provincial Instructor's Diploma (PIDP) from Vancouver Community College, and MSc/BSc degrees from Kuwait University. His academic role focuses on bridging data science and transportation systems. Dr. Alsaleh's research integrates: Data-Driven Modeling for traffic safety optimization AI & Machine Learning in multiagent systems Game Theory applications in road user interactions Intelligent Transportation Systems for conflict prediction Big Data Analytics in infrastructure design His recent publications demonstrate a consistent focus on applying reinforcement learning and statistical modeling to transportation challenges. Key themes include pedestrian-vehicle conflict resolution, geometric design reliability, and Nash equilibrium applications in shared road spaces. This work consistently intersects artificial intelligence, civil engineering, and behavioral economics. Currently, he teaches Introduction to Management Information Systems (2024-2025 BCom program). No awards, student advisements, grants, or lab affiliations are documented in available materials.
