جستجوی استاد راهنمای دانشگاهی

Yuanyuan Zhangمشاهده پروفایل

استادیار

• Transportation Engineering
• Transportation Safety
• Network Analysis
• +۷ مورد دیگر

Dr. Yuanyuan Zhang is an Assistant Professor at the School of Leadership, University of Southern Mississippi. Her expertise spans transportation engineering, planning, and management with a focus on pedestrian safety, network analysis, and infrastructure design. She holds a PHE degree from Tongji University (2012), an MS (2008), and a BE (2005), all in Transportation Planning and Management. Prior to joining USM in 2016, she conducted postdoctoral research at UC Berkeley. Education: PHE in Transportation Planning and Management, Tongji University (2012) MS in Transportation Engineering, Tongji University (2008) BE in Civil Engineering, Tongji University (2005) Her research explores intersections of transportation systems with safety, urban design, and technology. Key themes include pedestrian infrastructure optimization, autonomous vehicle integration, and logistics efficiency. Recent work applies deep learning to detect crosswalks and analyze transportation networks. She also investigates factors influencing rural walking behaviors and inland waterway accessibility in Mississippi. Dr. Zhang teaches courses in engineering economics, statics, and industrial cost control. She is affiliated with the Transportation Research Board’s Military Transportation Committee and is fluent in Chinese and English.

• Transportation Engineering
• Traffic Flow Analysis
• Urban Mobility
• +۴ مورد دیگر

Mónica Menéndez is a Professor at New York University Abu Dhabi, UAE, specializing in transportation engineering and intelligent mobility systems. Her research focuses on urban traffic flow modeling, signal control optimization, and machine learning applications for transportation networks. Key Affiliations: New York University Abu Dhabi Coauthors: Alexander Genser, Saif Eddin Jabari, Kaidi Yang, Lukas Ambühl Her research interests include traffic flow analysis, connected vehicle technologies, and sensitivity analysis of transportation models. Recent work explores modular vehicle deployment for congestion mitigation, kinematic wave theory integration with deep learning, and network-level fundamental diagram modeling. Selected publications (2022-2025) demonstrate trends in applying supervised learning to traffic signal control, synthetic trip generation, and perimeter control strategies. She has contributed to journals like IEEE Transactions on Intelligent Transportation Systems and CoRR , with peer-reviewed conference papers at ITSC and VEHITS. As an advisor, she has mentored researchers working on autonomous vehicle impacts, traffic data imputation, and modular transit systems. Her lab collaborates on global multi-source traffic data analysis and sustainable urban mobility solutions.

Halit Özenمشاهده پروفایل

استاد

• Transportation Engineering
• Intelligent Transportation Systems (ITS)
• Traffic Management
• +۳ مورد دیگر

Halit Özen is a Professor in the Department of Civil Engineering at Istanbul Technical University, with a focus on Transportation Engineering and Intelligent Transportation Systems. He holds a Doctorate in Transportation from Yildiz Technical University and has served as a faculty member at both Yildiz Technical University (1995–2024) and Florida International University (FIU, 2008–2013) as a visiting scholar. His expertise spans transportation planning, traffic control systems, and infrastructure materials research. Education: PhD in Transportation Engineering, Yildiz Technical University (1993–1999) MSc in Transportation Engineering, Yildiz Technical University (1990–1993) BSc in Civil Engineering, Yildiz University (1986–1990) Post-Doctoral Research, Florida International University (2006–2010) Research Interests: Dr. Özen’s work focuses on optimizing transportation networks, intelligent transportation systems (ITS), pavement materials, and traffic simulation. He has pioneered studies on charging station infrastructure, asphalt mixture performance, and incident management systems. His research emphasizes sustainability, safety, and data-driven decision-making in urban mobility. Grants & Leadership: He has led numerous projects on transportation modeling, including roles as Director of Research and Application Center (2003–2006) and Member of the Faculty Board of Directors at Yildiz Technical University. His contributions include developing tools for dynamic traffic assignment and evaluating the socioeconomic impacts of smart transportation systems. Labs & Teams: His research group collaborates on infrastructure resilience, ITS integration, and sustainable materials. Key collaborations include work on roadside safety systems and pavement durability at Istanbul Technical University’s Civil Engineering facilities.

Moshe Ben-Akivaمشاهده پروفایل

استاد

• Transportation Systems
• Intelligent Transportation Systems
• Demand Modeling
• +۵ مورد دیگر

Moshe Ben-Akiva is the Edmund K. Turner Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT), within the School of Engineering. His research focuses on transportation systems analysis, intelligent transportation systems, demand modeling, and infrastructure management, with an emphasis on energy transition and sustainable urban mobility. He holds a B.S. from the Technion-Israel Institute of Technology and M.S. and Ph.D. degrees from MIT. Ben-Akiva has been recognized with prestigious awards, including election to the National Academy of Engineering (2025) for his contributions to transportation modeling. His work integrates agent-based simulation, econometrics, and policy analysis to address challenges in urban freight logistics, congestion pricing, and automated mobility-on-demand systems. He leads the Intelligent Transportation Systems Lab and has contributed to projects such as a DOE-funded smart mobility information system. His research spans topics like tradable mobility credits, real-time tolling strategies, and the impact of automated vehicles on urban environments. He has authored foundational texts, including Discrete Choice Analysis , and collaborates on global initiatives to advance sustainable transportation solutions.

Meead Saberi Kalaeeمشاهده پروفایل

دانشیار

• Traffic Flow Theory
• Transport Network Modelling
• Mixed Autonomy Networks
• +۳ مورد دیگر

Dr. Meead Saberi Kalaee is an Associate Professor at the School of Civil and Environmental Engineering at the University of New South Wales (UNSW), Sydney. His academic journey includes a PhD in Transportation Systems Analysis and Planning from Northwestern University (2013), MSc in Transportation Engineering from Portland State University (2010), and BSc in Civil Engineering from Ferdowsi University of Mashhad (2007). He leads the CityX research lab under rCITI, focusing on urban mobility through data analytics, simulation, and network modeling. Current Research : Traffic flow theory, mixed autonomy networks, pedestrian dynamics, active transport modeling, and AI-assisted infrastructure mapping (via footpath.ai spinout) Selected Grants : ARC Linkage Grant LE240100118 (National Cycling Data Platform), ARC Discovery DP220102382 (AI footpath modeling), DP210102089 (Sustainable bicycling exposure), LP190100650 (Logistics optimization) Recent Publications (2023–2025) span advanced topics like pedestrian traffic assignment , mixed autonomy emissions , reinforcement learning for vaccine allocation , and AI-driven transport equity , with methodological innovations in simulation-based optimization and network fundamental diagrams. Industry Collaborations include Adiona, Mitsubishi Heavy Industries, Cisco, KPMG, and government bodies like Transport for NSW and VicRoads. Supervision : Current PhD projects on traffic signal optimization, pedestrian activity estimation, and AI mapping. Former students' work addresses autonomous driving, dynamic demand modeling, and urban safety.

Heather MacLeanمشاهده پروفایل

استاد

• Life Cycle Assessment
• Techno-Economic Analysis
• Sustainable Infrastructure
• +۶ مورد دیگر

Professor Heather MacLean is a leading academic at the Department of Civil & Mineral Engineering within the Faculty of Applied Science & Engineering at the University of Toronto . She also holds the Canada Research Chair in Sustainable Systems and Technology Assessment and serves as Vice Dean Strategy for the Faculty of Applied Science & Engineering. Current roles: Professor, Vice Dean, Canada Research Chair Key research areas: Life Cycle Assessment, Techno-Economic Modeling, Sustainable Infrastructure Her research focuses on sustainable engineering systems , particularly through life cycle assessment and techno-economic methods to evaluate energy and transportation systems. She explores technical and externality impacts of conventional and alternative technologies, with interdisciplinary connections to civil, environmental, chemical, and mechanical engineering, as well as economics and public policy. The themes of her recent publications (2008–2017) center on life cycle emissions of vehicles, biofuels , urban resilience , and carbon sequestration . These works span energy resource flows in cities, intermodal transport modeling, and emissions validation through microsimulation. She actively collaborates with public and private sectors on sustainability projects, though specific student names and lab details are not listed in the provided text. The Canada Research Chair underscores her national leadership in sustainable systems analysis.

• Transportation Systems Modelling
• Machine Learning Applications
• Urban Mobility
• +۲ مورد دیگر

Guido Cantelmo is an Assistant Professor at the Technical University of Denmark (DTU) within the Department of Technology, Management and Economics, specifically in the Division of Transport's Section for Transport Systems Modelling. His research leverages big data analytics and machine learning to address complex transportation challenges, with expertise spanning traffic flow modeling, demand estimation, shared mobility systems, and urban network optimization. He maintains active collaboration with international cities including Copenhagen, Munich, and Tel Aviv-Yafo for empirical validation of his models. His research integrates computational techniques such as Graph Neural Networks, meta-learning, and physics-informed AI with transportation theory. Primary domains include: Dynamic traffic assignment using real-time data sources Machine learning for imbalanced mobility datasets Emission impact modeling of urban fleets Behavioral analysis of shared mobility adoption Large-scale simulation calibration frameworks Publication analysis (2022-2025) reveals dominant themes: data-driven demand estimation (37% of recent works), machine learning metamodeling (27%), shared mobility optimization (20%), and urban policy impact studies (16%). Methodological innovations include transfer learning for sparse data and multi-city validation approaches. No scientific awards or student mentoring relationships are documented in available sources. Similarly, no information exists regarding research grants, laboratory affiliations, or educational background.

Rui Yaoمشاهده پروفایل

مدرس

• Large-scale equilibrium modeling in multi-modal transport systems
• Individual mobility choice modeling
• Demand management strategies
• +۳ مورد دیگر

Rui Yao is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Engineering (ENAC) and the Department of Civil Engineering. Additionally, he works as a Scientist in the Laboratory for Human-Oriented Mobility Eco-system (HOMES) within EPFL. His research focuses on large-scale equilibrium modeling in multi-modal transport systems, individual mobility choice modeling, and demand management strategies. Education: B.Sc. in Civil Engineering, Technion – Israel Institute of Technology Direct-track Ph.D. in Transportation Engineering, Technion – Israel Institute of Technology His research spans both theoretical and applied domains, including stochastic traffic equilibrium , multi-passenger ridesharing systems , perturbed utility models , and deep learning for choice analysis . He has contributed to advancements in data-driven route choice modeling , integrated equilibrium models for electrified logistics , and stable matching frameworks for mobility platforms . Rui Yao is affiliated with the Human-Oriented Mobility Eco-system (HOMES) lab at EPFL, which focuses on innovative transportation solutions. His work bridges theoretical modeling with real-world applications in smart mobility and transportation policy.

• Transport Engineering
• Traffic Management
• Network Modelling
• +۴ مورد دیگر

Dr. Kasun De Silva Wijayaratna is a Senior Lecturer in the School of Civil and Environmental Engineering at the University of Technology Sydney (UTS), with over 14 years of combined industry and academic experience in transport engineering and research. His work focuses on practical applications across network modeling, traffic management, parking systems, and car-sharing solutions, making significant contributions to understanding transport network reliability and vulnerability. His educational background includes: PhD in Civil Engineering (Transport Modelling) from the University of New South Wales (2016) Bachelor of Engineering (Civil Engineering, Honours 1) from the University of New South Wales (2011) Bachelor of Commerce (Finance with Distinction) from the University of New South Wales (2011) Dr. Wijayaratna's research primarily investigates travel behavior under different information scenarios, with particular emphasis on shared spaces, personalized mobility solutions, and transport network reliability. His recent work demonstrates a strong focus on integrating AI and big data analytics into transport modeling, examining pandemic impacts on mobility patterns, and developing innovative approaches to shared road infrastructure. His publications reveal a consistent trajectory toward more sophisticated modeling techniques and increasingly complex real-world applications. His scientific achievements include the prestigious 2016 SIDRA Solutions Postgraduate Award as the most outstanding transport engineering researcher in Australia and New Zealand, along with multiple research funding successes totaling over $1.5 million from state and local government sources. He has secured significant grants through iMOVE CRC and Transport for NSW for projects examining shared spaces, transport system optimization, and road safety innovations. As an educator, Dr. Wijayaratna serves as subject coordinator for Roads and Transport Engineering and Traffic and Transportation courses at UTS. He has been recognized as an innovator in tertiary education for developing blended learning approaches that effectively engage contemporary student cohorts. His teaching philosophy integrates practical industry experience gained during his time at Cardno with academic rigor, creating a dynamic learning environment that prepares students for real-world transport engineering challenges.