Hossein Hashemi

Hossein Hashemi
Postdoctoral Associate

Location: 

Email: 

hossein@smart.mit.edu

Projects: 

DynMIT2.0

Bio: 

Hossein Hashemi is a Postdoctoral Research Associate at Singapore-MIT Alliance for Research & Technology (SMART) since April 2017. He has extensive experience to develop dynamic models with application on transportation systems. He is expertized to develop efficient and practical methods utilizing optimization techniques, machine learning tactics, and simulation-base solutions. His research interests are real-time traffic network management systems with decision support capabilities, multi-modal transport network modeling, transportation system analysis, and demand modeling. Prior to joining SMART, Hossein finished his Ph.D. studies at Southern Methodist University, Dallas, Texas in August 2016, and then worked as a transportation system modeler at North Central Texas Council of Governments, Dallas, Texas (NCTCOG).

Publications: 

Selected journal articles with peer review

  1. Hashemi H., & Abdelghany, K. (2016). Real-Time Traffic Network State Estimation and Prediction with Decision Support Capabilities: Application to Integrated Corridor Management. Transportation Research Part C: Emerging Technologies, (73), 128-146.
  2. Hashemi, H., Abdelghany, K. F., & Abdelghany, A. F. (2016). A multi-agent learning approach for online calibration and consistency checking of real-time traffic network management systems. Transportmetrica B: Transport Dynamics, 1-21.
  3. Hashemi, H., & Abdelghany, K. (2015). Real-Time Traffic Network State Prediction for Proactive Traffic Management: Simulation Experiments and Sensitivity Analysis. Transportation Research Record: Journal of the Transportation Research Board, (2491), 22-31.
  4. Hashemi, H., & Abdelghany, K. (2015). Integrated Method for Online Calibration of Real-Time Traffic Network Management Systems. Transportation Research Record: Journal of the Transportation Research Board, (2528), 106-115.
  5. Abdelghany, K., Hassan, A., Alnawaiseh, A., & Hashemi, H. (2015). Flow-based and density-based time-dependent demand estimation for congested urban transportation networks. Transportation Research Record: Journal of the Transportation Research Board, (2498), 27-36.

Selected conference proceedings with peer review

  1. Hashemi H., Abdelghany, K., Yelchuru, B., & Zohdy, I., Evaluating the Effectiveness of Traffic Network Management Systems for Congested Corridors: A Simulation Testbed and Analysis, 95th Transportation Research Board Annual Meeting, Washington D.C. 2016.
  2. Hashemi, H., Abdelghany, K., & Alnawaiseh, A. (2016). Parallel All-Pairs Shortest Path Algorithm: A Network-Decomposition Approach, 95th Transportation Research Board Annual Meeting, Washington D.C., 2016.
  3. H. Hashemi, Abdelghany, K., & Alnawaiseh, A., Flow-based and Density-based Time-Dependent Demand Estimation for Congested Urban Transportation Networks, 94th Transportation Research Board Annual Meeting, Washington D.C., 2015.
  4. Hashemi H., & Abdelghany, K., A Simulation Test-Bed for Evaluating Active Traffic Network Management Systems, ITS Congress World, Detroit, MI, 2014.
  5. Alnawaiseh A., Abdelghany, K., & Hashemi, H., A Rollback Approach for Demand Consistency Checking of Real-Time Traffic Network State Estimation Models, 93rd Transportation Research Board Annual Meeting, Washington D.C., 2014.