Satish V. Ukkusuri
Social Sciences · Purdue University West Lafayette
Publications
437
Citations
13,259
Est. group size
~18
Recurring co-author estimate
Active years
23
Publishing since 2004
Satish V. Ukkusuri works on transportation systems, focusing on topics like electric vehicle charging networks, autonomous and shared mobility, urban resilience after disasters, and using machine learning (including graph neural networks and generative AI) to model and predict traffic and travel behavior. Much of the work combines large-scale transportation data with computational modeling to address problems like charging infrastructure planning, transit service gaps, cybersecurity risks in autonomous vehicles, and city-scale mobility and migration patterns.
Publication output was relatively high and fluctuating between 2017 and 2022 (around 25-38 papers per year), then declined somewhat from 2023 onward, though data for 2025-2026 may be incomplete.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A decentralized mobile charging station scheduling method using imitation learning
Transportation Research Part D Transport and Environment · 2026
- Data Science in Transportation Networks with Graph Neural Networks: A Review and Outlook
Data Science for Transportation · 2025
- Developing a framework for resilience assessment of electric vehicle charging station networks
Journal of Transport Geography · 2025
- Electric vehicle trips detection and synthesis using Sequential Generative Adversarial Networks
Expert Systems with Applications · 2025
- Cybersecurity for Next-Generation Road Transportation: A Review
ACM Journal on Autonomous Transportation Systems · 2025
- Overcoming Data Scarcity in Transit Planning: A Novel Framework Combining Machine Learning and Metaheuristics
Data Science for Transportation · 2025
- Assessing the risks of adversarial booking attack to autonomous mobility-on-demand services
Transportation Research Part C Emerging Technologies · 2025
- Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook
arXiv (Cornell University) · 2025
- Publisher Correction: Overcoming Data Scarcity in Transit Planning: A Novel Framework Combining Machine Learning and Metaheuristics
Data Science for Transportation · 2025
- Real-World Charging Data Reveals Spatial Heterogeneity in Public Ev Charging Station Usage
SSRN Electronic Journal · 2025
- D4: Dynamic Data-Driven Discovery of Adversarial Vehicle Maneuvers
Lecture notes in computer science · 2025
- Urban sustainable mobility challenge and governance amid depopulation in China
Research Square · 2025
- D4+: Emergent Adversarial Driving Maneuvers with Approximate Functional Optimization
arXiv (Cornell University) · 2025
- What determines travel time and distance decay in spatial interaction and accessibility?
Journal of Transport Geography · 2024
- Modeling the influence of charging cost on electric ride-hailing vehicles
Transportation Research Part C Emerging Technologies · 2024
- arXiv (Cornell University)×51
- Transportation Research Part C Emerging Technologies×9
- Transportation Research Record Journal of the Transportation Research Board×9
- SSRN Electronic Journal×9
- Transportation Research Part D Transport and Environment×7
- Zengxiang Lei
Social Sciences · Purdue University West Lafayette
- Jiawei Xue
Social Sciences · Purdue University West Lafayette
- Sania E. Seilabi
Social Sciences · Purdue University West Lafayette
- Xiaowei Chen
Social Sciences · Purdue University West Lafayette
- Mark R. McCord
Social Sciences · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile