Abhilasha J Saroj

Advanced Mobility R&D Staff

Dr. Abhilasha Saroj is a R&D Staff Member in the Applied Research for Mobility Systems (ARMS) Group  at ORNL. Her research interests and expertise are in modeling of real-time digital twins and traffic simulation including X-in-the-loop simulations, applications of AI for improved transportation modeling, and traffic signal control optimization to improve mobility and sustainability of transportation systems. Her dissertation entailed development of a digital twin model of North Avenue Smart Corridor in Atlanta, GA, using real time information from the corridor. After her Ph.D., she developed digital twin for the Martin Luther King Smart Corridor in Chattanooga, Tennessee and studied vehicle merging behavior model as a Postdoctoral Fellow and then Research Engineer II at GT. She also likes to spend her time working out in gym, doing yoga, going for a run or hike, reading, and cooking. 

She received her Ph.D. in Civil Engineering with a minor in Computer Science from Georgia Institute of Technology (GT). She received her M.S. in Transportation Engineering from GT as well. She did her undergraduate studies (B.Tech.) in Civil Engineering from Indian Institute of Technology Bombay in Mumbai, India.

  1. 2022 CEE Rising Stars Fellow, Carnegie Mellon University, 2022
  2. 2020-2021 Civil and Environmental Engineering Future Faculty Fellow, Georgia Tech, 2020
  3. National Science Foundation Travel Grant for Winter Simulation Conference, NSF, 2019
  4. National Center for Sustainable Transportation Dissertation Fund, NCST, 2019
  5. 2nd Best Poster, Southeastern Transportation Research, Innovation, Development and Education Center Student Poster Competition, 2019
  6. Mobility Award. City of Atlanta's North Avenue Smart Corridor Project (Research Project). Smart City Expo World Congress. Barcelona. November, 2018
  7. Winter Simulation Conference Travel Grant, Winter Simulation Conference Foundation, 2018
  8. Helen M. Overly Memorial Scholarship, Women's Transportation Seminar Atlanta, 2018
  9. John D. Edwards Memorial Scholarship, Institute of Transportation Engineers (ITE) Georgia, 2017
  10. Institute of Transportation Engineers Scholarship, ITE Georgia, 2016
  11. Traffic Bowl Winner Team, Institute of Transportation Engineers Georgia Section, 2015
  12. BA's Best Employee Award, Project: Power Conversion Market Assessment of India", Boston Analytics, 2013
  • Ph.D. in Civil Engineering with Minor in Computer Science,  Georgia Institute of Technology, USA
  • M.S. in Civil Engineering, Georgia Institute of Technology, USA
  • B.Tech. in Civil Engineering, Indian Institute of Technology Bombay, India
  • IEEE 
  • TRB Standing Committees
    • Highway Traffic Monitoring,
    • Intelligent Transportation Systems,
    • Artificial Intelligence and Advanced Computing Applications
  • ASCE AI Sub-committee 
  1. Saroj, A., S. Roy, A. Guin, and M. Hunter. Impact of Connected Corridor Volume Data Imputations on Digital Twin Performance Measures. International Journal of Transportation Science and Technology, Vol. 12, Iss. 2, Pages 476-491, 2023. DOI: https://doi.org/10.1016/j.ijtst.2022.05.001
  2. Saroj, A., S. Roy, A. Guin, and M. Hunter. Development of a Connected Corridor Real-Time Data-Driven Traffic Simulation Model Digital Twin. Journal of Transportation Engineering, Part A: Systems, Vol.147, Issue 12-Dec 2021. DOI: https://ascelibrary.org/doi/full/10.1061/JTEPBS.0000599
  3. Saroj, A., A. Guin, and M. Hunter. Deep LSTM Recurrent Neural Networks for Arterial Traffic Volume Data Imputation. Journal of Big Data Analytics in Transportation, 2021. DOI: https://doi.org/10.1007/s42421-021-00043-2
  4. Saroj, A., A. Guin, and M. Hunter. Applicability of Long Short-Term Memory Traffic Volume Imputation Model to Drive Connected Corridor Simulation. Journal of Modern Mobility Systems, Dec 2020, Vol.1, 119-124. DOI: https://doi.org/10.13021/jmms.2020.2929
  5. Saroj, A., T. V. Tran, A. Guin, M. Hunter, and M. Sartipi. Optimizing Traffic Controllers along the MLK Smart Corridor Using Reinforcement Learning and Digital Twin. 2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI), Boston, 2022. https://ieeexplore.ieee.org/document/9998928
  6. Saroj, A., S. Roy, R. Fujimoto, A. Guin, and M. Hunter. Smart City Real-Time Data-Driven Simulation. Winter Simulation Conference, Gothenburg, Sweden, 2018. https://ieeexplore.ieee.org/document/8632198