HTML5 UP - Key Persons
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.
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.
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.
Job Titles:
- Chancellor Faculty Fellow and Professor
Dan Work is a Chancellor Faculty Fellow and professor in civil and environmental engineering, computer science, and the Institute for Software Integrated Systems at Vanderbilt University. He has held research appointments at the University of Illinois at Urbana-Champaign (2010-17), Institute for Pure and Applied Mathematics (2015, 2020), Microsoft Research Redmond (2009), and Nokia Research Center Palo Alto (2007-09).
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.
Job Titles:
- Transportation Fellow, US Department of Transportation
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.
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.
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.
Job Titles:
- Dural Undergraduate Research Prize, Department of Civil and Environmental Engineering, UIUC, 2017
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.
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.
Job Titles:
- Adjunct Professor in the Computer Science Department at Vanderbilt University
- Research Scientist at the Institute for Software Integrated Systems
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 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.
Job Titles:
- Dwight David Eisenhower Transportation Fellowship Research Showcase, US Department of Transportation, 2023
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.
Job Titles:
- After Graduation: Assistant Professor, University of Minnessota
- Data Science for Social Good Fellow, Eric and Wendy Schmidt Foundation, 2014
Job Titles:
- Research Intern, IBM Ireland Research Lab, Dublin, Ireland, 2015
Job Titles:
- Graduate Research Fellowship, National Science Foundation, 2013
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.
Job Titles:
- Automation Engineer in 2012 from the Technological University of Havana
Job Titles:
- Research Intern, CSX Tranpsportation, 2016
- Senior Research Scientist at the Institute for Software Integrated Systems
- Student of the Year, Roadway Safety Institute University Transportation Center, 2016
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.
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.
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.
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.