Originally from Orlando, Florida, Rene is a non-traditional undergraduate civil engineering student at the FAMU-FSU College of Engineering. After graduating summa cum laude from FSU with a Bachelor of Science in Economics, Rene spent several years in the workforce. His experience as a project manager for the Florida Department of Environmental Protection gave him a ground-level view of public policy, motivating his return to academia. With this renewed perspective, he now aims to leverage his economics and engineering background, work experience, and research efforts to advance equitable policy surrounding sustainable urban design and public transit implementation. 

Outside of his research, Rene also enjoys listening to and producing music. He also loves to travel and explore new cities. 

I am currently a Postdoctoral Scholar at the FAMU-FSU College of Engineering, working at the RIDER Center under the mentorship of Dr. Qianwen Guo. Before joining FSU, I spent one year as a Postdoctoral Scholar at Pennsylvania State University. I earned my Ph.D. in Transportation Engineering from Beijing University of Technology in 2023. Research interests include traffic flow theory, traffic assignment, Connected and Automated Vehicles (CAVs), Electric Vehicles (EVs), bottleneck network resilience, Demand Responsive Transit (DRT), and machine learning applications for smart mobility. I am particularly interested in developing hybrid modeling frameworks that integrate physics-informed approaches with data-driven methods to enhance the reliability and interpretability of transportation system analysis.

Outside of research, I enjoy exploring new ideas with colleagues, mentoring students, and contributing to academic communities through peer review and conference participation. You can learn more about my work here: https://yuyananniepan.github.io/

I am currently a PhD student in Civil Engineering at Florida State University, under the advisorship of Dr. Qianwen Guo. My research focuses on addressing challenges in public transit and enhancing transportation resilience, with the aim of improving the overall transportation experience through advanced analytical/computational techniques.

My research interests encompass Intelligent Transportation Systems; Virtual/Augmented/Mixed Reality; Machine/Deep Learning; Optimization; and Human-Machine Collaboration. Outside of my academic pursuits, I tend to be a person of few words, except when discussing chess openings. Connect with me here: https://daniel-udekwe.github.io

I am a Ph.D. student in Civil Engineering at the FAMU-FSU College of Engineering, where I commenced my doctoral studies in Fall 2025. I earned my Bachelor of Science in Civil Engineering in Bangladesh and my Master of Science in Civil Engineering from the University of Nevada, Reno. Research focuses on airport capacity analysis, where I apply mathematical and algorithmic methodologies to improve efficiency and optimize system performance. I use programming, data analysis, and model optimization to address challenges in traffic signal operations, traffic flow and geometric design. My work also makes use of machine learning and advanced analytical tools to develop practical solutions for modern transportation problems. Outside of academics, I have a strong passion for travel, which inspires me and adds new perspectives to my research journey. To stay connected, please feel free to reach out on LinkedIn: www.linkedin.com/in/mmehedi-hasan

I am a Ph.D. student in Civil Engineering  at Florida A&M University. I completed my Bachelor of Science in civil engineering at Bangladesh University of Engineering and Technology. I have a  keen interest in contributing to the development of sustainable and resilient transportation system.  My area of expertise is in traffic simulation,  transportation planning, accident research, traffic engineering and public transit.  Beyond my academic career, I love to perform on stage.

https://www.linkedin.com/in/onindo-akash-shuvro-433301206