Teaching & Service
Teaching, mentorship, reviewing, and professional service.
Teaching
Co-Instructor, CE564: Data Science for Smart Cities, Purdue University
Delivered four weeks of lectures and developed instructional materials on deep learning and reinforcement learning for transportation systems.
Mentorship
I have mentored seven students and junior collaborators: Mithun Debnath (2022), Ruichen Tan (2023-present), Hongli Li (2024-present), and Zhiyu Cai, Ziyuan Yang, Shiveswarran Ratneswaran, and Yufan Zhang (2025-present). These projects span transportation simulation, mobility analytics, and security-focused research, contributing to a Transportation Research Part E publication and manuscripts submitted to competitive AI and systems venues.
Invited Talks
- “Transportation Cybersecurity: A Network-Level Perspective.” TraCR Scholar Webinar Series, August 27, 2025.
- “Adversarial Booking Attacks for On-Demand Mobility Services.” Purdue Institute of Transportation Engineers Student Chapter Seminar, November 28, 2023.
Professional Service
Journal reviewer. IEEE Transactions on Information Forensics and Security; IEEE Transactions on Intelligent Transportation Systems; Transportation Research Part B; Transportation Research Part C; Transportation Research Part D; Transportation Research Part E; Transportation; Multimodal Transportation; Transportation Research Record; Data Science for Transportation; European Journal of Operational Research; Operations Research Perspectives; Scientific Reports; Energy.
Conference reviewer. AAAI Conference on Artificial Intelligence; Conference on Neural Information Processing Systems; ACM SIGKDD Conference on Knowledge Discovery and Data Mining; IEEE Intelligent Vehicles Symposium; IEEE Intelligent Transportation Systems Conference; IEEE International Conference on Vehicular Electronics and Safety.
Event coordinator. ITE Special Seminar (2025): “Interdisciplinary Intelligent Transportation Systems: Traffic Control and Travel Time Dynamics.” Speaker: Dr. Pushkin Kachroo.