Curriculum Vitae
Education
- Ph.D. in Informatics, Pennsylvania State University, 2024 (expected)
- M.S. in Computer Science, The University of Houston, 2022
- B.S. in Computer Science and Engineering, University of Moratuwa, 2018
Work experience
- 2019/09 - Present - Graduate Research Assistant
- The University of Houston, Pennsylvania State University
- Supervisor: Dr. Aron Laszka
- Duties included:
- Formulated mathematical models to solve transit optimization based research problems.
- Implemented the algorithm and solution approaches for mathematical models.
- Published research works in conferences and journals.
- 2018/01 - 2019/07: Software Engineer
- LSEG Technology (formerly MillenniumIT)
- Duties included:
- Introduced unit testing for libraries in Post Trade C++ Code.
- Performed database changes for Post Trade products for Singapore Stock Exchange and validated with Behavior Driven Development (BDD) testing approaches using Java.
- Worked on CI/CD of the Post Trade product with Python and Git.
- Practiced Agile-based development throughout the entire period of work.
- 2016/07 - 2016/12: Software Engineering Intern
- WSO2 Lanka PVT Limited
- Duties included:
- Implemented alert generation mechanism, which provides email and SMS when a disease spreads wide by analyzing the description.
- Implemented alert generation mechanism, which could determine the functional state of hospitals (i.e., number of beds available, number of Oxygen cylinders available) based on the admission and discharge messages.
Publications
Data-Driven Prediction and Optimization of Energy Use for Transit Fleets of Electric and ICE Vehicles
Ayman, A., Sivagnanam, A., Wilbur, M., Pugliese, P., Dubey, A., & Laszka, A. (2021). Data-driven prediction and optimization of energy use for transit fleets of electric and ICE vehicles. ACM Transactions on Internet Technology (TOIT), 22(1), 1-29.
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
Sivagnanam, A., Ayman, A., Wilbur, M., Pugliese, P., Dubey, A., & Laszka, A. (2021, May). Minimizing energy use of mixed-fleet public transit for fixed-route service. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 17, pp. 14930-14938).
Data-Driven Prediction of Route-Level Energy Use for Mixed-Vehicle Transit Fleets
Ayman, A., Wilbur, M., Sivagnanam, A., Pugliese, P., Dubey, A., & Laszka, A. (2020, September). Data-driven prediction of route-level energy use for mixed-vehicle transit fleets. In 2020 IEEE International Conference on Smart Computing (SMARTCOMP) (pp. 41-48). IEEE.
Talks
Offline Vehicle Routing Problem with Online Bookings: A Novel Problem Formulation with Applications to Paratransit
Talk at Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22), Vienna, Austria
On the Benefits of Bug Bounty Programs: A Study of Chromium Vulnerabilities
Talk at The 20th Annual Workshop on the Economics of Information Security (WEIS 2021), Virtual Workshop
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service
Talk at Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-21), Virtual Conference
Projects
Workshops
On the Benefits of Bug Bounty Programs: A Study of Chromium Vulnerabilities
Sivagnanam, A., Atefi, S., Ayman, A., Grossklags, J., & Laszka, A. (2021). On the Benefits of Bug Bounty Programs: A Study of Chromium Vulnerabilities. In Workshop on the Economics of Information Security (WEIS) (Vol. 10).