Bio

I am a fifth-year graduate student (PhD) in computer science at Vanderbilt University, where I work as a research assistant at the Institute for Software Integrated Systems under my advisor Prof. Abhishek Dubey, PhD. My research is on decision-making and artificial intelligence (AI) for large-scale cyber-physical systems (CPS). Broadly, my interests span the fields of decision theory, cyber-physical systems, representation learning, natural language processing and optimization.

I am particularly interested in applying AI to real-world problems, especially in autonomous systems and smart cities. Through my research I have worked closely with transit agencies in Nashville and Chattanooga, TN and designed a variety of software for agencies to easily use my research in real-world settings. Additionally, I worked as a Research Intern at Dataminr in the summer of 2022 where I worked in the cybersecurity domain on alerting and detection using representation learning, graph neural networks and natural language processing.

Research Interests

1. Decision-making
2. AI and Machine Learning
3. Cyber-physical Systems (CPS)
4. Natural Language Processing (NLP)
5. Representation Learning

Educational Background

1. Current - PhD, Computer Science, Vanderbilt University
2. 2018 - MS, Civil Engineering, Northwestern University
3. 2012 - BS, Civil Engineering, University of Notre Dame

Publications

1. Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka, Abhishek Dubey, and Samitha Samaranayake. "Rolling horizon based temporal decomposition for the offline pickup and delivery problem with time windows." In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), 2023
2. Michael Wilbur, Afiya Ayman, Amutheezan Sivagnanam, Anna Ouyang, Vincent Poon, Riyan Kabir, Abhiram Vadali, Philip Pugliese, Daniel Freudberg, Aron Laszka, and Abhishek Dubey. "Impact of covid-19 on public transit accessibility and ridership." Transportation Research Record, 2022
3. Scott Eisele, Michael Wilbur, Taha Eghtesad, Kevin Silvergold, Fred Eisele, Ayan Mukhopadhyay, Aron Laszka, and Abhishek Dubey. "Decentralized computation market for stream processing applications." In 2022 IEEE International Conference on Cloud Engineering (IC2E), Pacific Grove, CA, USA, October 2022. IEEE Computer Society
4. Rishav Sen, Alok Kumar Bharati, Seyedmehdi Khaleghian, Malini Ghosal, Michael Wilbur, Toan Tran, Philip Pugliese, Mina Sartipi, Himanshu Neema, and Abhishek Dubey. "E-transit-bench: simulation platform for analyzing electric public transit bus fleet operations." In Proceedings of the Thirteenth ACM International Conference on Future Energy Systems (e-Energy 2022), 2022
5. Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, and Ayan Mukhopadhyay. "Adviser: Ai-driven vaccination intervention optimiser for increasing vaccine uptake in nigeria." In 31st International Joint Conference on Artificial Intelligence (IJCAI), July 2022. (AI for Social Good Track Best Paper Award)
6. Michael Wilbur, Salah Kadir, Youngseo Kim, Geoffrey Pettet, Ayan Mukhopadhyay, Philip Pugliese, Samitha Samaranayake, Aron Laszka, and Abhishek Dubey. "An online approach to solve the dynamic vehicle routing problem with stochastic trip requests for paratransit services." In ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS). IEEE, April 2022
7. Fiorella Mete, David J Corr, Michael Wilbur, and Ying Chen. "Bridge response and heavy truck classification framework based on a two-step machine learning algorithm." Transportation Research Record, 2022
8. Samriddhi Singla, Ayan Mukhopadhyay, Michael Wilbur, Tina Diao, Vinayak Gajjewar, Ahmed Eldawy, Mykel Kochenderfer, Ross D Shachter, and Abhishek Dubey. "Wildfiredb: An open-source dataset connecting wildfire occurrence with relevant determinants." In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2), 2021
9. Michael Wilbur, Ayan Mukhopadhyay, Sayyed Vazirizade, Philip Pugliese, Aron Laszka, and Abhishek Dubey. "Energy and emission prediction for mixed-vehicle transit fleets using multi-task and inductive transfer learning." In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021
10. Ricardo Sandoval, Caleb Van Geffen, Michael Wilbur, Brandon Hall, Abhishek Dubey, William Barbour, and Daniel B Work. "Data driven methods for effective micromobility parking." Transportation Research Interdisciplinary Perspectives, 10: 100368, 2021
11. Juan Martinez, Ayan Mukhopadhyay, Afiya Ayman, Michael Wilbur, Philip Pugliese, Dan Freudberg, Aron Laszka, and Abhishek Dubey. "Predicting public transportation load to estimate the probability of social distancing violations." In Proceedings of the Workshop on AI for Urban Mobility at the 35th AAAI Conference on Artificial Intelligence, 2021
12. Michael Wilbur, Philip Pugliese, Aron Laszka, and Abhishek Dubey. "Efficient data management for intelligent urban mobility systems." In Proceedings of the Workshop on AI for Urban Mobility at the 35th AAAI Conference on Artificial Intelligence (AAAI-21), 2021
13. Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, and Aron Laszka. "Minimizing energy use of mixed-fleet public transit for fixed-route service." In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, pages 14930–14938, 2021
14. Afiya Ayman, Amutheezan Sivagnanam, Michael Wilbur, Philip Pugliese, Abhishek Dubey, and Aron Laszka. "Data-driven prediction and optimization of energy use for transit fleets of electric and ice vehicles." ACM Transactions of Internet Technology, 2020
15. Jose Paulo Talusan, Michael Wilbur, Abhishek Dubey, and Keiichi Yasumoto. "Route planning through distributed computing by road side units." IEEE Access, 8:176134–176148, 2020
16. Michael Wilbur, Afiya Ayman, Anna Ouyang, Riyan Kabir, Abhiram Vadali, Philip Pugliese, Dan Freudberg, Aron Laszka, and Abhishek Dubey. "Impact of covid-19 on public transit accessibility and ridership." Publications Transportation Research Board, 2021
17. William Barbour, Michael Wilbur, Ricardo Sandoval, Abhishek Dubey, and Daniel B Work. "Streaming computation algorithms for spatiotemporal micromobility service availability." In 2020 IEEE Workshop on Design Automation for CPS and IoT (DESTION), pages 32–38. IEEE, 2020
18. Michael Wilbur, Chinmaya Samal, Jose Paolo Talusan, Keiichi Yasumoto, and Abhishek Dubey. "Time-dependent decentralized routing using federated learning." In IEEE 23nd International Symposium on Real-Time Distributed Computing (ISORC). IEEE, 2020
19. Afiya Ayman, Michael Wilbur, Amutheezan Sivagnanam, Philip Pugliese, Abhishek Dubey, and Aron Laszka. "Data-Driven prediction of Route-Level energy use for Mixed-Vehicle transit fleets." In 2020 IEEE International Conference on Smart Computing (SMARTCOMP) (SMARTCOMP 2020), Bologna, Italy, June 2020
20. Jose Paolo Talusan, Michael Wilbur, Abhishek Dubey, and Keiichi Yasumoto. "On decentralized route planning using the road side units as computing resources." In 2020 IEEE International Conference on Fog Computing (ICFC). IEEE, 2020
21. William Barbour, Michael Wilbur, Ricardo Sandoval, Caleb Van Geffen, Brandon Hall, Abhishek Dubey, and Dan Work. "Data driven methods for effective micromobility parking." In Proceedings of the Transportation Research Board Annual Meeting, 2020
22. Jose Paolo Talusan, Francis Tiausas, Keiichi Yasumoto, Michael Wilbur, Geoffrey Pettet, Abhishek Dubey, and Shameek Bhattacharjee. "Smart transportation delay and resiliency testbed based on information flow of things middleware." In 2019 IEEE International Conference on Smart Computing (SMARTCOMP), pages 13–18. IEEE, 2019
23. Michael Wilbur, Abhishek Dubey, Bruno Leao, and Shameek Bhattacharjee. "A decentralized approach for real time anomaly detection in transportation networks." In IEEE International Conference on Smart Computing, SMARTCOMP 2019, Washington, DC, USA, pages 274–282, June 2019.
24. Ying Chen, Michael Hyland, Michael Wilbur, and Hani S. Mahmassani. "Characterization of taxi fleet operational networks and vehicle efficiency: Chicago case study." Transportation Research Record 2672, no. 48 (2018): 127-138.