Welcome!

About me

Satish Ukkusuri is a Hubert and Audrey Kleasen Professor in the Lyles School of Civil and Construction Engineering at Purdue University, Director of the Urban Mobility Networks and Intelligence (UMNI) Lab and Director of the Purdue Transportation Cybersecurity and Resilience Center. His research is in the area of interdisciplinary transportation networks with current interests in data driven mobility solutions, disaster management, resilience of interdependent networks, connected and autonomous traffic systems, shared mobility platforms, and smart logistics. He is a University Faculty Scholar (2017-2022), ASCE Fellow, Fulbright Fellow, a selectee of the National Academy of Engineering (NAE) JAFOE conference (2016), a selectee of the National Academy of Science (NAS) Arab American Frontiers of Science, Engineering and Medicine in 2017 and a CUTC/ARTBA Faculty Award (2011) among other awards. He has published more than 350 peer reviewed papers in journals such as PNAS, Nature Communications, Nature and discipline specific journals. He is the co-Editor in Chief of the Journal Data Science for Transportation (Springer) and co-Editor in Chief of the ACM Journal of Autonomous Transportation.

Address: HAMP G167D, 550 Stadium Mall Drive, West Lafayette, IN 47907-2051

Phone: (765) 494-2296

Fax: (765) 494-7996

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Selected papers

• Xue, J., Jiang, N., Liang, S., Pang, Q., Yabe, T., Ukkusuri, S.V., & Ma, J. (2022). Quantifying spatial homogeneity of urban road networks via graph neural networks. Nature Machine Intelligence, 4, pp. 246-257.
• ​Yabe, T., Rao, P.S.C., Ukkusuri, S.V., & Cutter, S. (2022). Towards data driven, dynamical complex systems approaches to disaster resilience. Proceedings of the National Academy of Sciences, Vol. 119 (8),e2111997119.
• Qian, X., Zhang, W., Ukkusuri, S.V., & Yang, C. (2017). Optimal Assignment and Incentive Design in the taxi group ride problem. Transportation Research Part B (Methodological) , Vol. 203, pp. 208-226.
• Lei, Z., Xue, J., Chen, X., Qian, X., Saumya, C., He, M., … & Ukkusuri, S. V. (2024). METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles. Simulation Modelling Practice and Theory, 132, 102898.
• Hasan, S., Schneider, C., Ukkusuri, S.V., & Gonzalez, M. (2013). Spatiotemporal patterns of urban human mobility. Journal of Statistical Physics. Vol. 151, Issue 1-2, pp. 304-318.
• ​Ukkusuri, S. V., Tom,V. M., & Waller, S. T. (2007). Robust transportation network design under demand uncertainty. Computer Aided Civil and Infrastructure Engineering. Vol. 22, pp. 9-21.
• Jie, B., Liu, P., & Ukkusuri, S.V. (2019). A Spatiotemporal Deep Learning Approach for Citywide Short-Term Crash Risk Prediction with Multi-source Data. Accident Analysis and Prevention, Vol. 122, pp. 239-254.
• ​Hasan, S., & Ukkusuri, S.V. (2013). Understanding Urban Human Activity and Mobility Patterns Using Large-Scale Location-Based Data from Online Social Media. In Proceedings of 92nd Transportation Research Board Meeting, National Academies (Washington D.C.).
• ​Yabe, T., Tsubouchi, K., Fujiwara, N., Sekimoto, Y., & Ukkusuri, S. V. (2020). Understanding post-disaster population recovery patterns. Journal of the Royal Society Interface, 17(163), 20190532.
• Qian, X., Lei, T., Xue, J., Lei, Z., & Ukkusuri, S.V. (2020). Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data. Sustainable Cities and Society, Vol. 55, 102053.
• Zhan, X., Ukkusuri, S.V., & ​Rao, P.S.R.C. (2017). Dynamics of functional failures and recovery in complex road networks. Physical Review E, Vol. 96(5), 052301.
• Ukkusuri, S. V., Park, S. U., Mittal, S., Chapman, L., Manoli, G., Santos, A., … & Romero, N. (2024). “We need to prepare our transport systems for heatwaves—here’s how”. Nature, 632(8024), 253-256.

News

August 2024: New comment paper “We need to prepare our transport systems for heatwaves—here’s how” has been published on Nature.

May 2024: Congratulations to Jiawei Xue, Xiaowei Chen, SangUng Park, and Mithun Debnath on successfully defending their theses!

May 2024: New paper “A physics-informed machine learning for generalized bathtub model in large-scale urban networks” has been published on Transportation Research Part C.

Mar. 2024: New paper “Modeling the influence of charging cost on electric ride-hailing vehicles” has been published on Transportation Research Part C.

Jan. 2024: New paper “Comparison of home detection algorithms using smartphone GPS data” has been published on EPJ Data Science.

Jan. 2024: New paper “METS-R SIM: A simulator for Multi-modal Energy-optimal Trip Scheduling in Real-time with shared autonomous electric vehicles” has been published on Simulation Modeling Practice and Theory.

Nov. 2023: New paper “Scalable reinforcement learning approaches for dynamic pricing in ride-hailing systems” has been published on Transportation Research Part B.

Sept. 2023: New paper “Mapping sidewalks on a neighborhood scale from street view images” has been published on Environment and Planning B: Urban Analytics and City Science.

Nov. 2022: New paper“Modeling the dynamics and spatial heterogeneity of city growth” has been published on npj Urban Sustainability.

Oct. 2022: New paper “Spatial structure of city population growth” has been published on Nature Communications.

May 2022: New paper “Progression of hurricane evacuation-related dynamic decision-making with information processing” has been published on Transportation Research Part D.

Mar. 2022: New paper “Quantifying the spatial homogeneity of urban road networks via graph neural networks” has been published on Nature Machine Intelligence.

Feb. 2022: New paper “Toward data-driven, dynamical complex systems approaches to disaster resilience” is published on PNAS.

Nov. 2021: Dr. Washim Mondal received the best paper award in the Cooperative AI workshop at NeurIPS 2021 for his work “On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)”.

June 2021: Congratulations on the graduation of Dr. Hemant Gehlot!

July 2020: New paper “Efficient proactive vehicle relocation for on-demand mobility service with recurrent neural networks” is now online.

Apr. 2020: Our new paper “Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data” has been published on Sustainable Cities and Society.

Mar. 2019: New paper “A-RESCUE 2.0: A High-Fidelity, Parallel, Agent-Based Evacuation Simulator” is now online.

Dec. 2018: Congratulations on the graduation of Dr. Xinwu Qian and Dr. Wenbo Zhang!

Nov. 2018: New paper “User equilibrium with a policy-based link transmission model for stochastic time-dependent traffic networks” is now online.

Nov. 2018: New paper: “Joint modeling of evacuation departure and travel times in hurricanes” is now online.

Oct. 2018: Our work in the recent research foundation news “A little help from your friends is key to natural disaster recovery, Purdue research study suggests”.

Oct. 2018: New paper “A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data” is now online.