Welcome! 

This is the SHINE Lab - Research Lab of Dr. Danjue Chen at the Dept. of Civil, Construction, and Environmental Engineering at NC State University.  

Announcement

Our lab plans to recruit 1-2 PhD students for spring 2024 (or fall 2024) related to connected automated vehicles (CAVs).  We are interested in the intersection of AI, control, and traffic flow, a new frontier in the era of CAV.  Potential research topics include, (1) human-AV interactions, (2) AI for CAV control (e.g., reinforcement learning), and (3) field test, modeling, and control of CAVs.  More info of our current research projects can be found on the Research page. Full research assistantship will be provided.  

Prerequisites:

(1)    Students with STRONG motivation to explore cutting-edge transportation problems and solutions.  Preferably, the students should have 

(a) experience or interests in the areas of control, automation, and/or AI

(b) good analytic capability and math/programming skills

(c) good writing and oral communication skills (e.g., TOEFL and GRE are required; preferably, GRE writing is 4 or above but not mandatory)

(2)    Engineering/science/math background is preferred, and computer science/automation/transportation background is ideal.  Master degree is preferred but not required.  

Contact: If you are interested, please send me an email with your resume and transcripts (informal).

Bio

Dr. Danjue Chen is an Associate Professor in the Dept. of Civil, Construction, and Environmental Engineering at NC State University.   Prior to NCSU, she had worked at UMass Lowell, University of Wisconsin - Madison, and California PATH at University of California, Berkeley.  She had her PhD from the Georgia Institute of Technology in 2012.  Dr. Chen's research interests include: 

    (1) Experimental testing of automated vehicles

    (2) Modeling and control of connected automated vehicles (CAVs)

    (3) human-automation interaction involving CAVs  

    (4)  smart cities   

Dr. Chen has received the NSF CAREER award.   Her research aims to  (1) better understand the fundamental nature of traffic flow, particularly with cutting-edge vehicle technologies such as connected vehicles and autonomous vehicles, (2) understand the human-cyber-physical-system of smart vehicles which includes sensing, computation, communication and control, (3) understand the complex interaction between human and machines (like smart vehicles), and (4) leveraging emerging vehicular technologies to enable safe, efficient, and eco transportation.  Her research has been sponsored by NSF, USDOT, and state DOTs. 

Contact

Fitts-Woolard Hall 

NC State University

Email: dchen33@ncsu.edu