Articles Under Review and Preprints  (*: corresponding author)

• Yang, C., Mehouachi, F., Menendez, M., and Jabari, S.E.* Urban traffic analysis and forecasting through shared Koopman eigenmodes. [preprint: arXiv:2409.04728]

• Chauhan, P., Choutri, S.E.*, Ghattassi, M., Masmoudi, N., and Jabari, S.E. Neural operators struggle to learn complex PDEs in pedestrian mobility: Hughes model case study. [preprint: arXiv:2504.18267]

• Aswani, N.*, Jabari, S.E., and Shafique, M. Representing neural network layers as linear operators via Koopman operator theory. [preprint: arXiv:2504.18267]

• Mehouachi, F.* and Jabari, S.E. Catastrophic overfitting, entropy gap, and participation Ratio: A noiseless l-p norm solution for fast adversarial training. [preprint: arXiv:2505.02360]

• Mehouachi, F.* and Jabari, S.E. FlowMixer: A constrained neural design for interpretable time series forecasting and dynamical systems prediction. [preprint: arXiv:2505.16786]

• Choutri, S.E.*, Chauhan, P., and Jabari, S.E. Monte Carlo neural operator for differential equations. 

Peer-Reviewed Journal Articles  (*: corresponding author)

• Liu, J., Zheng, F.*, Yu, B., and Jabari, S.E. (2025). On the role of non-localities in fundamental diagram estimation. IEEE Transactions on Intelligent Transportation Systems. Early Access. [link to article]

• Jabari, S.E.* (2024). Countering adversarial perturbations in graphs using error correcting codes. Physical Review E, 110(4):044304. [link to article]

• Wang, Y.*, Li, W., Sarkar, E., Shafique, M., Maniatakos, M. and Jabari, S.E. (2024). A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks. IEEE Transactions on Artificial Intelligence. Early Access. [link to article]  

• Wang, Y.*, Li, W., Alam, M., Maniatakos, M., and Jabari, S.E. (2024). Backdozer: A backdoor detection methodology for DRL-based traffic controllers. ACM Journal on Autonomous Transportation Systems. Accepted. [link to article]  

• Thonnam Thodi, B., Ambadipudi, S., and Jabari, S.E.* (2024) Fourier neural operator for learning weak solutions of nonlinear scalar hyperbolic PDEs: Numerical experiments and generalization results. Transportation Research Part C: Emerging Technologies. 160:104500. [link to article] 

• Abdelghaffar, H., Batista, S.*, Rehman, A., Cao, J., Menéndez, M., and Jabari, S.E. (2024). Comparison of probabilistic cruising-for-parking time estimation models. Transportation Research Part A: Policy and Practice, 183:104064. [link to article]

• Wang, Y., Sarkar, E., Jabari, S.E., and Maniatakos, M.* (2024). On the vulnerability of deep reinforcement learning to backdoor attacks in autonomous vehicles. In: Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Springer, New York. [link to chapter] 

• Liu, J., Zheng, F.*, Wei, M., Bai, L., and Jabari, S.E. (2023). A linearizing transformation-based evaluation approach of the fundamental diagram. Transportation Research Record, OnlineFirst. [link to article]  

• Ramana, S.* and Jabari, S.E. (2022) Stationary states in two lane traffic: Insights from kinetic theory. Physical Review E, 106(1):014113. [link to article] [preprint: arXiv:2206.03002]

• Pantelidis, T., Li, L., Ma, T., Chow, J.*, and Jabari, S.E. (2022) Node-charge graph-based online carshare rebalancing with capacitated electric charging.  Transportation Science, 56(3):654-676. [link to article (open source)]

• Li, W., Yang, C., and Jabari, S.E.* (2022) Nonlinear traffic prediction as a matrix completion problem with ensemble learning. Transportation Science, 56(1):52-78. [link to article][preprint: arXiv:2001.02492]

• Thonnam Thodi, B., Khan, Z.*, Jabari, S.E., and Menendez, M. (2022) Incorporating kinematic wave theory into a deep learning method for high-resolution traffic speed estimation. IEEE Transactions on Intelligent Transportation Systems, 23(10):17849-17862. [link to article - Open Access]

• Lin, D. and Jabari, S.E.* (2022) Pay for intersection priority: A free market mechanism for connected vehicles. IEEE Transactions on Intelligent Transportation Systems, 23(6):5138-5149. [link to article][preprint: arXiv:2001.01813]

• Wang, Y., Sarkar, E., Li, W., Maniatakos, M., and Jabari, S.E.* (2021) Stop and go: Exploring backdoor attacks in deep reinforcement learning-based traffic congestion control systems.  IEEE Transactions on Information Forensics and Security, 16:4772-4787. [link to article] [preprint: arXiv:2003.07858]

• Li, L., Pantelidis, T., Chow, J., and Jabari, S.E.* (2021) A real-time dispatching strategy for shared automated electric vehicles with performance guarantees.  Transportation Research Part E: Logistics and Transportation Review, Special Issue: Proceedings of The 24th International Symposium of Transportation and Traffic Theory (ISTTT 24), 152:102392. [link to article][preprint: arXiv:2006.15615]

• Benoit, J.* and Jabari, S.E. (2021) On equilibrium metropolis simulations on self-organized urban street networks. Applied Network Science, 6(33):1-30. [article]

• Venkata Ramana, A.S. and Jabari, S.E.* (2021) Power-laws and phase transitions in heterogeneous car following with reaction times. Physical Review E, 103(3): 032202-1--032202-12. [article]

• Li, L., Okoth, V., and Jabari, S.E.* (2021) Backpressure control with estimated queue lengths for urban network traffic. IET Intelligent Transport Systems, 15(2):320-330. [article]

• Venkata Ramana, A.S. and Jabari, S.E.* (2020) Traffic flow with multiple quenched disorders. Physical Review E, 101(5):052127-1--052127-10. [article]

• Benkraouda, O., Thonnam Thodi, B., Yeo, H., Menendez, M., and Jabari. S.E.* (2020) Traffic data imputation using deep convolutional neural networks. IEEE Access, 8: 104740-104752. [article]

• Jabari, S.E.*, Freris, N., and Dilip, D. (2020). Sparse travel time estimation from streaming data. Transportation Science, 54(1): 1-20. [article]

• Thonnam Thodi, B., Mulumba, T, and Jabari, S.E.* (2020) Noticeability versus impact in traffic signal tampering. IEEE Access, 8: 86149-86161. [article]

• Zheng, F., Liu, C., Liu, X.*, Jabari, S.E., and Lu, L. (2020) Analyzing the impact of automated vehicles on uncertainty and stability of the mixed traffic flow. Transportation Research Part C: Emerging Technologies, 112: 203-219. [article]

• Xu, Z., Jabari, S.E.*, and Prassas, E. (2020) Applying finite mixture models to New York City travel times. ASCE Journal of Transportation Engineering, Part A: Systems, 146(5): 05020001.  [link to article].

• Li, L. and Jabari, S.E.* (2019) Position weighted backpressure intersection control for urban networks. Transportation Research Part B: Methodological, 128: 435-461. [article]

• Jabari, S.E.*, Dilip, D., Lin, D., and Thonnam Thodi, B. (2019). Learning traffic flow dynamics using random fields. IEEE Access, 7: 130566-130577 [article]

• Lin, D., Li, L., and Jabari, S.E.* (2019) Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving. Transportation Research Part C: Emerging Technologies, 105: 550-564. [article]

• Benoit, J.* and Jabari, S.E. (2019) On the perturbation of self-organized urban street networks.  Applied Network Science, 4:49: 1-20. [article]

• Zheng, F., Jabari, S.E.*, Liu, H., and Lin, D. (2018). Traffic state estimation using stochastic Lagrangian dynamics. Transportation Research Part B: Methodological, 115: 143-165. [article]

• Jabari, S.E.* (2016). Node modeling for congested urban networks. Transportation Research Part B: Methodological, 91: 229–249. [article]

• Jabari, S.E.* and Wynter, L. (2016). Sensor placement with time-to-detection guarantees. EURO Journal on Transportation and Logistics, 5(4): 415-433. [article].

• Jabari, S.E.*, Zheng, J., and Liu, H. (2014). A probabilistic stationary speed-density relation based on Newell’s simplified car-following model. Transportation Research Part B: Methodological, 68: 205-223. [article]

• Jabari, S.E. and Liu, H.* (2013). A stochastic model of traffic flow: Gaussian approximation and estimation. Transportation Research Part B: Methodological, 47(1): 15-41. [article]

• Jabari, S.E. and Liu, H.* (2012). A stochastic model of traffic flow: Theoretical foundations. Transportation Research Part B: Methodological, 46(1): 156-174. [article]

• Jabari, S.E.*, He, X., and Liu, H. (2012). Heuristic solution techniques for no-notice emergency evacuation traffic management. In: Network Reliability in Practice. Springer, New York, pp. 241–259. [chapter]

• Liu, H.* and Jabari, S.E. (2008). Evaluation of corridor traffic management and planning strategies that use microsimulation: A case study. Transportation Research Record 2088: 26-35. [article]

Peer-Reviewed Conference Papers

• Aswani, N.* and Jabari, S.E. (2025). Koopman autoencoders learn neural representation dynamics. Methods and Opportunities at Small Scale (MOSS) and Machine Unlearning for Generative AI (MUGen) Workshops, The 25th International Conference on Machine Learning (ICML '25), Accepted. [preprint: arXiv:2505.12809]

• Choutri, S.E.*, Djehiche, B., Chauhan, P., and Jabari, S.E. (2025). Backpressure-based mean-field type game for scheduling in multi-hop wireless sensor networks. The 33rd European Signal Processing Conference (EUSIPCO 2025), Accepted. [preprint: arXiv:2506.03059]

• Chauhan, P., Choutri, S.E.*, Ghattassi, M., Masmoudi, N., and Jabari, S.E. (2025). Learning the 1D Hughes model using Fourier neural operators. UAE GSRC 2025, No. 1571116009.

• Wang, Y.*, Li, W., Maniatakos, M. and Jabari, S.E. (2024) Optimal smoothing distribution exploration for backdoor neutralization in deep learning-based traffic systems. The 2024 Australian \& New Zealand Control Conference (ANZCC), Gold Coast, Australia, pp. 115-120. [link to article]

• Liu, J., Zheng, F*., Yu, B. and Jabari, S.E. (2024). On the fundamental diagram considering non-localities: A novel empirical methodology. TRBAM-24-01609. The 103rd Annual Meeting of the Transportation Research Board.

• Li, W.*, Shafique, M. and Jabari, S.E. (2023). Physical backdoor trigger activation of autonomous vehicles using reachability analysis. The 62nd IEEE Conference on Decision and Control (CDC). Accepted. [preprint]

• Yang, C.*, Ambadipudi, S., and Jabari, S.E. (2023). Generalized adaptive smoothing based neural network architecture for traffic state estimation. The 22nd World Congress of the International Federation of Automatic Control (IFAC). Accepted. [preprint]

• Ambadipudi, S.* and Jabari, S.E. (2023). Physics of platoon formation in heterogeneous traffic. TRBAM-23-00618. The 102nd Annual Meeting of the Transportation Research Board.

• Thonnam Thodi, B.*, Ambadipudi, S. and Jabari, S.E. (2022) Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors. Fifth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2022). [article]

• Yang, C.*, Thonnam Thodi, B., and Jabari, S.E. (2022) Generalized adaptive smoothing using matrix completion for traffic state estimation. The 25th IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 787-792. [link to article] [preprint: arXiv:2206.01461]

• Thonnam Thodi, B.*, Jabari, S.E. (2022) Learning Resolution-Invariant Solutions for LWR-Type Traffic Flow Models. TRBAM-22-002521. The 101st Annual Meeting of the Transportation Research Board, Washington D.C.

• Wang, Y., Maniatakos, M., and Jabari, S.E.* (2021) A trigger exploration method for backdoor attacks on deep learning-based traffic control systems. The 60th IEEE Conference on Decision and Control (CDC), pp. 4394-4399. [link to article]

• Thonnam Thodi, B., Khan, Z.*, Jabari, S.E., and Menendez, M. (2021) Learning traffic speed dynamics from visualizations. The 24th IEEE International Conference on Intelligent Transportation Systems (ITSC), pp. 1239-1244. [link to article][preprint: arXiv:2105.01423]

• Thonnam Thodi, B., Khan, Z., Jabari S.E.*, and Menendez, M. (2021) Anisotropic kernels for deep convolutional neural network based traffic speed reconstruction. TRBAM-21-01133. The 100th Annual Meeting of the Transportation Research Board, Washington D.C.

• Lin, D.* and Jabari, S.E. (2020) Comparative analysis of economic instruments in intersection operations: A user-based perspective.  The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC) [link to article]

• Li, L., Lin, D.*, and Jabari, S.E. (2020) A user-based charge and subsidy scheme for single O-D network mobility management.  The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC) [link to article]

• Li, W., Yang, C., and Jabari, S.E.* (2020) Short-term traffic forecasting using high-resolution traffic data.  The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC) [link to article]

• Li, L.* and Jabari S.E. (2020) A decentralized network control approach based on continuum traffic flow modeling. No. 20-01726. The 99th Annual Meeting of the Transportation Research Board, Washington D.C. [manuscript]

• Benkrouda, O., Thonnam Thodi, B., Yeo, H., Menendez, M., and Jabari, S.E.* (2020) Traffic state reconstruction using deep convolutional neural networks. No. 20-03790. The 99th Annual Meeting of the Transportation Research Board, Washington D.C.

• Benoit, J.* and Jabari, S.E. (2019) On the Metropolis algorithm for urban street networks. Complex Networks 2019. [extended-abstract]

• Li, W.*, Wang, Y., and Jabari, S.E. (2019) Fault isolation based on online sparse optimization of streaming fault data. The 58th IEEE Conference on Decision and Control (CDC), Nice, FR, pp. 2934-2939. [link to article]

• Lin, D. and Jabari, S.E.* (2019) Transferable utility games based intersection control for connected vehicles. The 22nd IEEE International Conference on Intelligent Transportation Systems (ITSC), Aukland, NZ, pp. 3496-3501. [link to article]

• Li, L., Lin, D., Pantelidis, T., Chow, J., and Jabari, S.E.* (2019) An agent-based simulation for shared automated electric vehicles with vehicle relocation. The 22nd IEEE International Conference on Intelligent Transportation Systems (ITSC), Aukland, NZ, pp. 3308-3313. [link to article]

• Lin, D., Li, L., Hamidou, T., and Jabari, S.E.* (2019) Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving using cooperative game theory. No. 19-04412. The 98th Annual Meeting of the Transportation Research Board, Washington D.C. [manuscript]

• Benoit, J.* and Jabari, S.E. (2018) On the statistics of urban street networks. Complex Networks 2018 - Book of Abstracts (ISBN 978-2-9557050-2-5) pp. 498-500. [extended-abstract]

• Benoit, J.* and Jabari, S.E. (2018). Structure entropy for urban street networks. AGILE 2018. [poster]

• Lin, D., Li, L.* and Jabari, S.E. (2018). Lane changing strategies for connected vehicles using cooperative game theory. Paper ID:1570432626. UAE Graduate Students Research Conference (GSRC2018). [manuscript]

• Dilip, D.* and Jabari, S.E. (2018). Vehicle trajectory reconstruction using conditional random fields. No. 18-03053. The 97th Annual Meeting of the Transportation Research Board, Washington D.C. [manuscript]

• Jabari, S.E.*, Zheng, F., Liu, H., and Filipovska, M. (2018). Stochastic Lagrangian modeling of traffic dynamics. No. 18-04170. The 97th Annual Meeting of the Transportation Research Board, Washington D.C. [manuscript]

• Dilip, D., Freris, N., and  Jabari, S.E.* (2017). Sparse estimation of travel time distributions using Gamma kernels. No. 17-02971. The 96th Annual Meeting of the Transportation Research Board, Washington D.C. [manuscript]

• Brett, C.*,  Jabari, S.E., Blandin, S., and Wynter, L. (2016). Control plan optimization. No. 16-3231. The 95th Annual Meeting of the Transportation Research Board, Washington D.C. [manuscript]

• Wynter, L.*, Trager, B., Yu, Y., Kamarianakis, Y., Jabari, S.E., Coldefy, J., Marquois, D., and Baudel, T. (2015) Traffic Estimation and Prediction for Urban Road Networks, Application to Grand Lyon. The 22nd Intelligent Transportation Systems World Congress. Bordeaux, Fr. [link to article]

• Jabari, S.E.* and Wynter, L. (2014). Sensor placement with time-to-detection guarantees. No. 14-2833. The 93rd Annual Meeting of the Transportation Research Board, Washington D.C.

• Jabari, S.E.*, Zheng, J., and Liu, H. (2014). A probabilistic stationary speed-density relation based on Newell’s simplified car-following model. No. 14-2150. The 93rd Annual Meeting of the Transportation Research Board, Washington D.C. 

• Jabari, S.E.* and Liu, H. (2013). Gaussian model of macroscopic traffic flow: Derivation, analysis, and validation. No. 13-3262. The 92nd Annual Meeting of the Transportation Research Board, Washington D.C.

• Jabari, S.E.* and Liu, H. (2012). A stochastic model of traffic flow: Theoretical foundations. No. 12-2181. The 91st Annual Meeting of the Transportation Research Board, Washington D.C.

• Jabari, S.E.* and Liu, H. (2011). Approximating queue size dynamics at actuated signalized intersections. No. 11-2151. The 90th Annual Meeting of the Transportation Research Board, Washington D.C.

• Jabari, S.E. and Liu, H.* (2010). A graph-theoretic approach for dynamic system optimum assignment with intersection control. No. 10-2469. The 89th Annual Meeting of the Transportation Research Board, Washington D.C.

• Jabari, S.E., He, X., and Liu, H.* (2009). Responding to the unexpected: A model and solution strategy for combined dynamic evacuee routing and officer deployment. No. 09-2129. The 88th Annual Meeting of the Transportation Research Board, Washington D.C.

• Liu, H.*,  Jabari, S.E., He, X., and Liu, H. (2007). Peak spreading methodology for future scenario evaluations using microsimulation. No. 07-2017. The 86th Annual Meeting of the Transportation Research Board, Washington D.C.

Patents

• [US 9466209 B2] Blandin, S., Jabari, S.E., Wynter, L. Traffic Network Sensor Placement. Published October 2016.

• [US 9286797 B1] Blandin, S., Jabari, S.E., Wynter, L., Traffic Incident Location Identification. Published March 2016.