Tianyi Li | Transportation Engineering | Best Researcher Award

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Prof. Tianyi Li | Transportation Engineering | Best Researcher Award

Assistant Professor, Saint Louis University, United States

Tianyi Li is an Assistant Professor in the Department of Civil Engineering at Saint Louis University. His research interests lie at the intersection of transportation engineering, cyber-physical systems (T-CPS), and machine learning, with a focus on traffic modeling, safety, and urban mobility. Prior to his current role, Li earned his Ph.D. in Transportation Engineering from the University of Minnesota, where he worked under the guidance of Dr. Raphael Stern. He holds a Master’s degree from the University of Washington and a Bachelor’s degree from Iowa State University. Li’s interdisciplinary expertise includes the application of data science and machine learning to improve traffic flow, safety, and sustainability. He has gained industry experience working with organizations like Futurewei Technology and the Washington State Department of Transportation. His ongoing research contributes significantly to advancing the understanding of smart cities, transportation systems, and public safety.

Profile

Orcid

Education 

Tianyi Li holds a Ph.D. in Transportation Engineering from the University of Minnesota, which he is expected to complete in June 2024. Under the mentorship of Dr. Raphael Stern, his doctoral research explores transportation-cyber-physical systems (T-CPS) and the integration of machine learning in transportation systems. Li also earned a Master of Science in Transportation Engineering from the University of Washington in December 2019, where he worked with Dr. Yinhai Wang. During his undergraduate years at Iowa State University, Li graduated with a Bachelor of Science in Civil Engineering in May 2017, earning cum laude honors and membership in Tau Beta Pi. He also received certifications in Python programming, machine learning, and data science through Coursera. Li’s academic training has provided him with a solid foundation in transportation engineering, data analysis, and the application of cutting-edge technologies like AI and machine learning to transportation systems.

Experience 

Tianyi Li has diverse experience both in academia and industry. Since August 2024, he has been serving as an Assistant Professor in the Department of Civil Engineering at Saint Louis University. In this role, he focuses on conducting research and teaching students about transportation systems, cyber-physical systems, and data science. Li’s industry experience includes a summer internship at Futurewei Technology in Bellevue, Washington, where he worked on applied machine learning for smart cities and contributed to a journal paper on taxi mobility services. In addition, he interned with the Washington State Department of Transportation in 2019, focusing on tolling data analysis, performance evaluations, and operational improvements. Li also gained early career experience as an Assistant Engineer Intern with China Railway First Group in 2017, where he participated in site surveys, field measurements, and AutoCAD drawing. His internships provided him valuable hands-on experience in the transportation field, bridging academic research and real-world applications.

Awards and Honors 

Tianyi Li has received numerous prestigious awards throughout his academic and professional career. Notable recognitions include the Dwight David Eisenhower Transportation Fellowship (2021-2024), which supports his ongoing research on transportation systems. He also received the Matthew J. Huber Award for Excellence in Transportation Research and Education in 2024, which acknowledges his exceptional contributions to the field of transportation engineering. Li has earned multiple Department of Civil, Environmental, and Geo-Engineering Travel Awards (2023), enabling him to present at international conferences. Additionally, he was awarded the Best Presentation Award at the UMN Transportation Seminar in 2022 for his outstanding work in transportation research. Other honors include the NSF Travel Award, the Transportation Research Board (TRB) Student Travel Award, and the 2022 ITS Minnesota Educational Scholarship. Li has also received multiple Dwight David Eisenhower Transportation Fellowships (2021-2023), which have supported his research initiatives in transportation safety and smart mobility.

Research Focus 

Tianyi Li’s research focuses on the intersection of transportation systems, cyber-physical systems (T-CPS), and machine learning. His work aims to integrate advanced data science techniques into transportation engineering to improve traffic flow, safety, and urban mobility. Key research topics include traffic estimation, modeling, and control, with a particular emphasis on leveraging machine learning and deep learning methods to optimize transportation systems. Li has explored the energy impacts of cyberattacks on adaptive cruise control vehicles, as well as the detection of stealthy cyberattacks on automated vehicles. His research also addresses transportation safety, including driver behavior at unsignalized intersections and pedestrian-driver interactions. Li’s focus on sustainable urban mobility involves developing innovative solutions for smart cities, incorporating the integration of public transit signal priority into traffic signal control. Overall, his interdisciplinary research aims to advance transportation infrastructure using emerging technologies to create safer, more efficient, and sustainable urban transportation systems.

Publications 

  1. Identifying built environment factors influencing driver yielding behavior at unsignalized intersections: A naturalistic open-source dataset collected in Minnesota 🛣️🚗
  2. Exploring Energy Impacts of Cyberattacks on Adaptive Cruise Control Vehicles 🚙💻
  3. Naturalistic open-source pedestrian-driver yielding dataset collected in Minnesota 🚶‍♂️🚗
  4. Car-following-response Based Vehicle Classification via Deep Learning 🧠🚘
  5. Assessing the Impact of Disruptive Events on Urban Mobility: A Case Study of Chicago Taxis during COVID-19 🚖📉
  6. Integrating public transit signal priority into max-pressure signal control: Methodology and simulation study on a downtown network 🚍🚦
  7. Detecting Stealthy Cyberattacks on Automated Vehicles via Generative Adversarial Networks 🛑🤖
  8. Robustness of vehicle identification via trajectory dynamics to noisy measurements and malicious attacks 🚙🔒
  9. Taxi Utilization Rate Maximization by Dynamic Demand Prediction: A Case Study in the City of Chicago 🚖📊

Amirhossein Baghestan | Transportation | Interdisciplinary Research Excellence Award -2537

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 Prof Dr. Amirhossein Baghestan |     Transportation | Interdisciplinary         Research Excellence Award 

Prof Dr. Amirhossein Baghestan, Shahid Beheshti University, Iran

Dr. Amirhossein Baghestani is an Assistant Professor of Civil Engineering at Shahid Beheshti University in Tehran, Iran. With a strong background in transportation engineering, he specializes in evaluating traffic and emissions impacts, travel behavior analysis, and Transportation system optimization. He earned his PhD from City College of New York, where he focused on New York City’s cordon pricing. His academic and research career spans both the U.S. and Iran, reflecting a commitment to improving urban transportation systems.

Profile

scopus

Strengths for the Award:

  1. Diverse Research Background: Dr. Amirhossein Baghestani has an impressive and varied research background across multiple institutions and countries, including his current role at Shahid Beheshti University and past positions at Tarbiat Modares University, NYMTC, and City College of New York. His work spans key areas of transportation, such as demand management, traffic impacts, and logistics.
  2. Innovative Projects: His involvement in interdisciplinary projects, such as the impact of cordon pricing on New York City and COVID-19’s effect on travel behavior in Tehran, showcases his ability to integrate various fields and address complex, real-world issues. His projects often blend transportation with environmental and economic concerns, reflecting a broad and relevant scope.
  3. Teaching and Mentoring: As an Assistant Professor, Dr. Baghestani contributes to the development of future experts in transportation engineering and related fields. His teaching roles cover a broad range of subjects, including transportation demand analysis and operations research, demonstrating his capability to bridge theory and practice.
  4. Peer Reviewing and Academic Engagement: His extensive peer-review experience with reputable journals indicates his active role in advancing the field and engaging with a wide range of interdisciplinary topics.
  5. Honors and Recognitions: His accolades, including the NYMTC September 11th Memorial Program Scholarship and PhD Fellowship, reflect a recognition of his excellence and potential in the field of transportation research.

Areas for Improvement:

  1. Broader Interdisciplinary Collaboration: While Dr. Baghestani’s work is interdisciplinary, further collaboration with researchers from fields outside of transportation (e.g., environmental science, urban planning) could enhance the integration of diverse perspectives and methodologies.
  2. Publication and Citation Metrics: Increasing the number of high-impact publications and citations could further highlight the influence and reach of his interdisciplinary research.
  3. Grant and Funding Success: Demonstrating success in securing research grants and funding would strengthen his profile by showcasing his ability to lead and sustain large-scale interdisciplinary projects.
  4. Public Engagement: Greater involvement in public dissemination of research findings through media, public lectures, or policy briefs could enhance the impact and visibility of his interdisciplinary work.

Education 🎓

Dr. Amirhossein Baghestani holds a PhD in Civil Engineering (Transportation) from City College of New York (2017-2020), where he investigated the traffic and emissions impacts of New York City’s cordon pricing. He completed his M.Sc. in Transportation Planning & Engineering at Tarbiat Modares University (2011-2013) with a focus on spatial transferability of mode choice models, and his B.Sc. in Civil Engineering at Imam Khomeini International University (2006-2011). His education has provided a solid foundation for his extensive research and professional achievements in transportation.

Experience 🏢

Dr. Baghestani has held various significant positions in academia and research. Currently, he is an Assistant Professor at Shahid Beheshti University, focusing on transportation engineering and system analysis. Previously, he served as a Research Associate at Tarbiat Modares University, working on travel demand management and logistics studies. His experience includes a research role at NYMTC, where he conducted sensitivity analysis on highway attributes, and as a Graduate Student Researcher at City College of New York, evaluating traffic and emissions impacts.

Honors 🏆

Dr. Baghestani’s accomplishments have been recognized through several honors, including membership in the Transportation Research Board Equity Committee (AME10) and the NYMTC September 11th Memorial Program Scholarship (2018). He also received a PhD Fellowship from City College of New York (2017) and ranked 2nd in his M.Sc. program among eight students. These accolades reflect his dedication and excellence in transportation research and engineering.

Research Focus 🔬

Dr. Baghestani’s research centers on discrete choice models, environmental impacts of transportation projects, and travel behavior analysis. He employs operations research techniques to optimize transportation systems and analyze traffic assignments. His work contributes to understanding and improving urban transportation efficiency and sustainability.

publications

Are Supply and Demand the Main Key Drivers of Airport Parking Prices? 🏷️ (Journal of Air Transport Management, 2024, 114, 102505)

Determinants Behind the Acceptance of Autonomous Vehicles in Mandatory and Optional Trips 🚗 (Proceedings of the Institution of Civil Engineers: Engineering Sustainability, 2023, 177(3), pp. 174–184)

Modeling the Impact of Logistic Performance, Economic Features, and Demographic Factors of Countries on the Seaborne Trade 🌍 (Asian Journal of Shipping and Logistics, 2023, 39(2), pp. 60–66)

An On-Demand Dynamic Taxi Crowdshipping Model for Urban Parcel Delivery 🚖 (Transportation Journal, 2023, 62(2), pp. 177–208)

An Application of the Node–Place Model to Explore the Land Use–Transport Development Dynamics of the I-287 Corridor 🏙️ (Urban Science, 2023, 7(1), 21)

Logistics Village Location with Capacity Planning Problem, an MILP Model Approach 🏢 (Sustainability (Switzerland), 2023, 15(5), 4633)

An Exploration of Heterogeneity in Latent Psychological Variables on Travelers’ Destination Choice 🌐 (Decision Analytics Journal, 2023, 6, 100179)

Travel Demand Management Implications During the COVID-19 Pandemic: The Case Study of Tehran 🦠 (Sustainability (Switzerland), 2023, 15(2), 1209)

New York City Cordon Pricing and Its’ Impacts on Disparity, Transit Accessibility, Air Quality, and Health 🚇 (Case Studies on Transport Policy, 2022, 10(1), pp. 485–499)

Cordon Pricing, Daily Activity Pattern, and Exposure to Traffic-Related Air Pollution: A Case Study of New York City 🌫️ (Atmosphere, 2021, 12(11), 1458)

Conclusion:

Dr. Amirhossein Baghestani is a strong candidate for the Interdisciplinary Research Excellence Award. His diverse research portfolio, innovative projects, and significant contributions to both academia and practical applications of transportation engineering make him an excellent fit for this award. Enhancing his interdisciplinary collaborations, increasing publication and citation metrics, and expanding public engagement could further bolster his candidacy. Overall, his accomplishments and dedication to advancing the field through interdisciplinary approaches position him as a deserving candidate for this recognition.