William Barbour is a senior research scientist at the Institute for Software Integrated Systems at Vanderbilt University. He currently works on the I-24 MOTION testbed, seeking to establish a preeminent study area for automated vehicle technologies on an open roadway in Tennessee, and the I-24 Smart Corridor, an integrated corridor management project driven by a custom AI decision support system.

Dr. Barbour received his Ph.D. in civil engineering from Vanderbilt University, an M.S. degree in sustainable and resilient infrastructure systems from the University of Illinois at Urbana-Champaign, and a B.S. in Biosystems Engineering from the University of Tennessee, Knoxville. Dr. Barbour has previously worked at Oak Ridge National Laboratory and CSX Transportation. He has also received graduate funding support from the Roadway Safety Institute and Federal Highway Administration.

William’s career and research interests focus on the application of novel and advanced computational techniques to transportation systems engineering; examples include big data analytics, machine learning, optimization, and artificial intelligence. He has applied these interests in the freight rail transportation domain through ongoing industry collaboration with Class I railroads, where improvements in network operations can lead to capacity and efficiency gains for the system. William’s other domain interests include pedestrian and cyclist accessibility, public transit planning, and transportation policy.

In addition to research, William teaches with Vanderbilt Programs for Talented Youth. During three summers and four weekend programs, he planned and taught *Sensors and Big Data Analysis* and *Electrical engineering, sensors, and control*, to gifted high school students from across the United States and abroad. The classes include hands-on experiences for students in sensor prototyping, data collection, data analysis, and automation robotics.

Website: William's Website

• Ph.D, Civil Engineering, Vanderbilt University, 2020
• M.S., Sustainable and Resilient Infrastructure Systems, CEE, UIUC, 2017
• B.S., Biosystems Engineering, University of Tennessee, Knoxville, 2015

Derek Gloudemans, PhD earned his doctorate in computer science at Vanderbilt University. His undergraduate degree was in civil engineering from Vanderbilt University, where he graduated summa cum laude. Derek has work experience from the Indiana Department of Transportation.

Derek’s career and research interests focus on the usage of computational techniques to address large-scale and multiparameter problems traditionally solved using human intuition, with a particular emphasis on computer vision. Current work focuses on leveraging creating real-time methods for tracking objects across multiple continuous camera fields of view. Past projects have included fast joint object tracking and detection algorithms, utilizing computational techniques to analyze social distancing compliance, algorithms for vehicle turning movement counting at intersections on edge compute devices, and fault detection in the freight rail sector using machine learning. Derek is also interested in the intersection of artificial intelligence, data science, and public policy.

• Ph.D, Computer Science, CEE, Vanderbilt University 2023
• B.S., Civil and Environmental Engineering, Vanderbilt University, Nashville, 2018

Matt Nice, PhD earned a doctorate in Civil Engineering at the Institute for Software Integrated Systems at Vanderbilt University. He earned his M.Eng in Cyber-Physical Systems at Vanderbilt University. He earned his B.S.E. at Tulane University. His research interests are broadly in transportation cyber-physical systems. That includes autonomous vehicles, intelligent vehicle-infrastructure integration, sensor networks, and human-in-the-loop systems. He is focused on empirical successes from research ideas.

Website: Matt's Website

• Ph.D, Civil Infrastructure Systems, CEE, Vanderbilt University 2024
• M.Eng., Cyber Physical Systems, Vanderbilt University 2019
• B.S.E., Biomedical Engineering, Tulane University 2018

Marcos Quinones-Grueiro is a research scientist at the Institute for Software Integrated Systems at Vanderbilt University. He currently works on the I-24 Smart Corridor, an integrated corridor management project driven by a custom AI decision support system.

Marcos graduated Summa Cum Laude as an Automation Engineer in 2012 from the Technological University of Havana. He obtained an M.S. degree in Industrial Informatics and Automation in 2017 and a Ph.D. degree in Technical Sciences with a specialization in Automation in 2018 from the same university.

Marcos’s career and research interests focus on developing and applying foundational machine learning and reinforcement learning methods for the safety, control, and optimization of cyber-physical systems in crucial areas, such as transportation, water industry, manufacturing, and energy. He has authored a book, several journal papers and book chapters, and participated in more than 35 international conferences including ACC, CDC, ICRA, CCTA, and IFAC.

Marcos is also an adjunct professor in the Computer Science department at Vanderbilt University where he teaches on a regular basis *Reinforcement Learning* and *Applied Machine Learning*, at the graduate and undergraduate levels, respectively.

George Gunter is a PhD student in Civil Engineering and the Insitute for Software Integrated Systems at Vanderbilt University. He earned his B.S. from the University of Illinois at Urbana Champaign. His research interests are broadly in applications of cyber-physical systems to civil infrastructure, specializing in smart and connected transportations sytems with a focus on traffic cmodeling and control.

• Ph.D, Civil Infrastructure Systems, CEE, Vanderbilt University 2023 (expected)
• B.S, Civil Infrastructure Systems, CEE, University of Illinois 2019

Junyi Ji is a Ph.D. student in Civil Engineering and the Institute for Software Integrated Systems at Vanderbilt University. He is dedicated to the development and field control experiments of the I-24 MOTION freeway traffic testbed. His current research focuses on understanding the nature of traffic waves and developing a mathematical digital twin for the freeway testbed. His long-term research vision is to integrate advanced computational methods and CPS technology with transportation to create a sustainable system.

Junyi’s other interests include developing data analytical tools for sustainable transportation, aligned with the UN Sustainable Development Goals (SDGs). He is actively involved in volunteering with Citipedia, a leading organization in China focused on sustainability, and MoveVU, an initiative aimed at transitioning Vanderbilt towards sustainable mobility.

He is the convener of the workshop on vehicle trajectory data camp and serves as a team member of the REproducible Research In Transportation Engineering (RERITE) working group. He is a strong advocate of open science.

Website: Junyi's Website

• Ph.D., Civil and Environmental Engineering, Vanderbilt University 2026 (expected)
• M.S., Transportation Engineering, Southeast University, China, 2022
• B.Eng., Traffic Engineering, Southeast University, China, 2019

Yuhang Zhang is a PhD student in Civil Engineering and the Institute for Software Integrated Systems at Vanderbilt University. He earned his M.S.E in Civil and Systems Engineering at the Johns Hopkins University and his B.E. in Civil Engineering from Central South University, China. His research interests lie primarily in intelligent transportation systems and his current research is focusing on smart traffic management utilizing artificial intelligence.

• Ph.D, Civil Infrastructure Systems, CEE, Vanderbilt University 2026 (expected)
• M.S.E., Civil and Systems Engineering, Johns Hopkins University 2021
• B.E., Civil Engineering, Central South University, China, 2019

Zhiyao Zhang is a Ph.D. student in Civil Engineering and the Institute for Software Integrated Systems at Vanderbilt University. He earned his B.E. in Electrical Engineering from Xiangtan University, China.

Zhiyao's current research interest is to design and deploy reinforcement learning for traffic management. He actively thinks about how to make RL compatible with regulations and social rules, and how RL can address real-world limitations. Meanwhile he is one of the main developers of an AI Decision Support System (AI-DSS) which has been deployed on I-24 SMART Corridor for multiple AI integrations for traffic management.

Zhiyao previously focused on RL for energy management. He has decided to study traffic because he thinks cars are cool and driving is fun!

• Ph.D., Civil Infrastructure Systems, CEE, Vanderbilt University, 2027 (expected)
• B.E., Electrical Engineering, Xiangtan University, China, 2022

Gracie Gumm is an undergraduate student in civil and environmental engineering at Vanderbilt University. She is currently working as an undergraduate research assistant in Prof. Dan Work's lab at the Institute for Software Integrated Systems.

Gracie’s career and research interests include the intersections between emerging technologies and public policy surrounding transportation infrastructure. She is currently collaborating on a project to determine the effects of autonomous and connected vehicles on fuel consumption. Previously, she worked to collect field data regarding the flow on I-24 during peak congestion hours.

Outside of research, Gracie is involved on campus as a founding and executive member of Girls Who Code. Additionally, she works as an Undergraduate Teaching Assistant through Vanderbilt's Program for Talented Youth for the course Computer Science: Tools for Enhancing Cybersecurity.

• B.E., Civil and Environmental Engineering, Vanderbilt University, 2023 (expected)

Lisa Liu is a rising sophomore studying Computer Engineering at Vanderbilt University. She is working on the I-24 Motion project. On campus, she is currently involved in Vanderbilt Robotics and Nashville Navigators.

• B.E, Computer Engineering, Vanderbilt University, 2025(Expected)

Xinxuan is an undergraduate studying Computer Science and Mathematics at Vanderbilt University. He is working as an undergraduate research assistant in Prof. Dan Work’s lab on Vehicle Detection Tasks. His research interests include applications of machine learning and computer vision.

• B.S, Computer Science; B.A, Mathematics, Vanderbilt University, 2023(Expected)

Ao(Leo) is a senior at Vanderbilt University with majors in mathematics and computer science and minors in economics and scientific computing. He is passionate about using quantitative methods to study and improve intelligent transportation systems. In the past, he has worked with Yue on machine learning based anomaly detection algorithms for traffic and urban sensors. His current research focuses on predicting the impact of traffic incidents using graph neural networks.

• B.S, Computer Science; B.A, Mathematics(Honors), Vanderbilt, 2022(Expected)

Josh is a second-year undergraduate student studying Computer Science and Applied Mathematics. Currently, Josh is working under Professor Work to research how traffic may be minimized through the use of AI. In the future, Josh hopes to study the optimization of both efficiency and robustness on newer algorithms.

• B.S, Computer Science; B.A, Applied Mathematics, Vanderbilt University, 2024(Expected)

Brandon is an undergraduate researcher from Chicago, Illinois double majoring in computer science and mathematics. He'll be working on the I-24 Motion project, mainly focusing on computer visualization. Outside of the lab, he loves weightlifting, Spikeball, and listening to music.

• B.S, Computer Science; B.A, Mathematics, Vanderbilt University, 2025(Expected)

From Seoul, South Korea, Arthur is an undergraduate student in Computer Science at Vanderbilt University. He is working as an undergraduate researcher in Prof. Dan Work's lab at the Institute for Software Integrated Systems.

Arthur's research area is currently focused on visualizing data created from the I-24 MOTION testbed under the supervision of Ph.D. Student Yanbing Wang and Dr. William Barbour. Outside of research Arthur is involved in 2 team projects as a Full Stack Developer and a Product Manager : creating an automated inventory management system for a local non-profit organization as a Change++ member, and creating a dining hall review application for Vanderbilt Students. Arthur is currently working with the Vanderbilt Student Government and hopes to launch this application by the end of the year.

• B.S., Computer Science, Vanderbilt University, Winter 2022 (expected)

From Kuala Lumpur, Malaysia, Zi is an undergraduate studying Computer Science and Mathematics at Vanderbilt University. He is working as an undergraduate research assistant in Prof. Dan Work’s lab under the supervision of Ph.D. student Yanbing Wang. Outside of research, Zi is a developer at Change++, the co-director of Development team at VandyHacks, and a member of the Vanderbilt climbing team.

• B.S, Computer Science; B.A, Mathematics(Honors), Vanderbilt University, 2025(Expected)

Shepard is a senior undergraduate majoring in Computer Science and Mathematics with a minor in History of Art. He is currently working under Derek Gloudemans on vehicle detection on the I-24 Smart Corridor. Specifically, he is tackling the problem of detecting vehicles during nighttime. His research interests are primarily focused in computer vision. Shepard also has a passion for historical fencing.

• B.S, Computer Science; B.A, Mathematics, Vanderbilt University, 2023(Expected)

• Ph.D. Applied and Computational Mathematics, Temple University, 2013.
• B.S. Applied and Computational Mathematics, HuaZhong University of Science and Technology, 2007.
• Position after completion: Union Bank, NA

• Ph.D, Computer Science, Vanderbilt University, 2022
• M.S., Systems Engineering, University of California at Berkeley, 2018
• B.S., Civil and Environmental Engineering, Tongji University, China, 2017

• Position after graduation: Virgin Hyperloop One
• Ph.D, Sustainable and Resilient Infrastructure Systems, CEE, UIUC 2017
• M.S., Mechanical Engineering, KAUST 2012
• B.S., Mechanical Engineering, Zhejiang University 2011

• Position after graduation: Assistant Professor, University of Minnessota
• Ph.D, Sustainable and Resilient Infrastructure Systems, CEE, University of Illinois, 2018 (expected)
• M.S., Sustainable and Resilient Infrastructure Systems, CEE, University of Illinois, 2015
• B.S., CEE, Minor in Statistics, University of Illinois, 2013

• Position after completion: Boston Consulting Group.
• Ph.D, Sustainable and Resilient Infrastructure Systems, CEE, UIUC 2017
• M.S., Sustainable and Resilient Infrastructure Systems, CEE, UIUC, 2014
• B.S., Civil Engineering, Tsinghua University, 2012

• Position after graduation: Apple, Inc.
• Ph.D, Sustainable and Resilient Infrastructure Systems, CEE, UIUC 2015
• M.S., Industrial and Enterprise Systems Engineering, CEE, UIUC, 2013
• B.S., Transportation Engineering, Beijing University of Technology, 2010

• Ph.D., Civil and Environmental Engineering, Vanderbilt University, 2023
• B.S., Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 2018

• Position after graduation: M.S. program, Computer Science, UIUC
• M.S., Civil and Environmental Engineering, UIUC, 2012
• B.S., Transportation Engineering, Jilin University, 2010

• Position after graduation: Uber
• M.S. Civil and Environmental Engineering UIUC, 2015
• B.S. Computer Science (Machine Intelligence), Purdue, 2013

• Position after graduation: DMC Engineering
• M.S., Mechanical Engineering, 2013
• B.S., Mechanical Engineering, UIUC, 2011

• Position after graduation: Apple, Inc.
• M.S., Aerospace Engineering, UIUC, 2013 (co-advised with Prof. Cedric Langbort)
• M.S., Aerospace Engineering, ISAE SUPAERO, 2011

• Currently taking a gap year exploring the globe in 2022
• M.S., Civil and Infrastructure Engineering, CEE, Vanderbilt University, 2021
• B.E., Civil and Environmental Engineering, Vanderbilt University, 2020

• Position after graduation: Enercon Services
• M.S., Civil and Environmental Engineering, UIUC, 2014 (co-advised with Prof. Junho Song)
• B.S., Civil Engineering, Massachusetts Institute of Technology, 2012

• Position after graduation: PhD program, Civil Engineering, UIUC.
• M.S., Sustainable and Resilient Infrastructure Systems, CEE, UIUC, 2013 (co-advised with Prof. Barbara Minsker and Prof. Dan Roth)
• B.S., Civil Engineering, University of Puerto Rico, Mayaguez Campus, 2011

• M.S., Civil and Infrastructure Systems, CEE, Vanderbilt University, December 2022
• B.S., Computer Science, Vanderbilt University, 2021

• Position after graduation: Ph.D. program, University of California at Berkeley
• M.S., Sustainable and Resilient Infrastructure Systems, CEE, UIUC, 2018 (expected)
• B.S., Sustainable and Resilient Infrastructure Systems, CEE, UIUC, 2015

• Position after completion: M.S. program, Technology Management, UIUC
• B.S., Electronics Engineering, University of Los Andes, Colombia, 2010