Dr. Jose Paolo Talusan is a Post Doctoral Researcher in the Department of Computer Science and Computer Engineering at Vanderbilt University. He earned his PhD from the Nara Institute of Science and Technology, Japan in 2020. His research interests include middleware and distributed computing systems, with a focus on smart transportation networks.

Dr. Jose Paolo Talusan Publications

  1. J. P. Talusan, C. Han, A. Mukhopadhyay, A. Laszka, D. Freudberg, and A. Dubey, An Online Approach to Solving Public Transit Stationing and Dispatch Problem, in Proceedings of the ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS), New York, NY, USA, 2024.
  2. C. Han, J. P. Talusan, D. Freudberg, A. Mukhopadhyay, A. Dubey, and A. Laszka, Forecasting and Mitigating Disruptions in Public Bus Transit Services, in Proceedings of the 23rd Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2024, Auckland, New Zealand, Richland, SC, 2024.
  3. F. Tiausas, K. Yasumoto, J. P. Talusan, H. Yamana, H. Yamaguchi, S. Bhattacharjee, A. Dubey, and S. K. Das, HPRoP: Hierarchical Privacy-Preserving Route Planning for Smart Cities, ACM Trans. Cyber-Phys. Syst., Jun. 2023.
  4. M. J. Islam, J. P. Talusan, S. Bhattacharjee, F. Tiausas, A. Dubey, K. Yasumoto, and S. K. Das, Scalable Pythagorean Mean Based Incident Detection in Smart Transportation Systems, ACM Trans. Cyber-Phys. Syst., Jun. 2023.
  5. A. Zulqarnain, S. Gupta, J. P. Talusan, P. Pugliese, A. Mukhopadhyay, and A. Dubey, Addressing APC Data Sparsity in Predicting Occupancy and Delay of Transit Buses: A Multitask Learning Approach, in 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 2023.
  6. J. P. Talusan, A. Mukhopadhyay, D. Freudberg, and A. Dubey, On Designing Day Ahead and Same Day Ridership Level Prediction Models for City-Scale Transit Networks Using Noisy APC Data, in 2022 IEEE International Conference on Big Data (Big Data), Los Alamitos, CA, USA, 2022, pp. 5598–5606.
  7. J. Islam, J. P. Talusan, S. Bhattacharjee, F. Tiausas, S. M. Vazirizade, A. Dubey, K. Yasumoto, and S. Das, Anomaly based Incident Detection in Large Scale Smart Transportation Systems, in ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS), 2022.
  8. F. Tiausas, J. P. Talusan, Y. Ishimaki, H. Yamana, H. Yamaguchi, S. Bhattacharjee, A. Dubey, K. Yasumoto, and S. K. Das, User-centric Distributed Route Planning in Smart Cities based on Multi-objective Optimization, in 2021 IEEE International Conference on Smart Computing (SMARTCOMP), 2021, pp. 77–82.
  9. J. P. V. Talusan, M. Wilbur, A. Dubey, and K. Yasumoto, Route Planning Through Distributed Computing by Road Side Units, IEEE Access, vol. 8, pp. 176134–176148, 2020.
  10. M. Wilbur, C. Samal, J. P. Talusan, K. Yasumoto, and A. Dubey, Time-dependent Decentralized Routing using Federated Learning, in 2020 IEEE 23nd International Symposium on Real-Time Distributed Computing (ISORC), 2020.
  11. J. P. Talusan, M. Wilbur, A. Dubey, and K. Yasumoto, On Decentralized Route Planning Using the Road Side Units as Computing Resources, in 2020 IEEE International Conference on Fog Computing (ICFC), 2020.
  12. J. P. Talusan, F. Tiausas, K. Yasumoto, M. Wilbur, G. Pettet, A. Dubey, and S. Bhattacharjee, Smart Transportation Delay and Resiliency Testbed Based on Information Flow of Things Middleware, in IEEE International Conference on Smart Computing, SMARTCOMP 2019, Washington, DC, USA, June 12-15, 2019, 2019, pp. 13–18.