portrait_fernando
Assistant Professor
Computer Science
Contact
chandima@ccsu.edu
Office
Biography

Chandima Fernando is an assistant professor in Computer Science at Central Connecticut  State University. He holds a B.S. in computer science (2014) from the University of Colombo, Sri Lanka, and Ph.D.(2023) from the University of Nebraska - Lincoln, USA. His research expands on consensus algorithms for multi-UAS and AI-driven approaches for robotics.

Areas of Expertise

Multi-robot Systems
AI for Robotics

Publications, Research & Presentations

[J2] C. Fernando, E. Basha, J. Bradley, and C. Detweiler, “Consensus-enabled active learning for multi-agent systems in ground classification of wetlands,” Journal of Aerospace Information Systems, vol. 0, no. 0, pp. 1–9, 0. doi: 10.2514/1.I011337. [Online]. Available: https://doi.org/10.2514/1.I011337. 

[J1] C. Fernando, C. Detweiler, and J. Bradley, “Co-regulated consensus of cyber-physical resources in multi-agent unmanned aircraft systems,” Electronics, vol. 8, no. 5, p. 569, 2019. 

[C5] C. Fernando, D. Olds, S. I. Campbell, and P. M. Maffettone, “Facile integration of robots into experimental orchestration at scientific user facilities,” in 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024, pp. 9578–9584.

[C4] G. Phillips, J. M. Bradley, and C. Fernando, “A deployable, decentralized hierarchical reinforcement learning strategy for trajectory planning and control of uav swarms,” in AIAA SCITECH 2024 Forum, 2024, p. 2761. 

[C3] C. Fernando, C. Detweiler, and J. Bradley, “Co-regulated information consensus with delays for multi-agent uas,” in 2020 59th IEEE Conference on Decision and Control (CDC). IEEE, 2020, pp. 180–187. 

[C2] C. Fernando, C. Detweiler, and J. Bradley, “Co-regulating communication for asynchronous in-formation consensus,” in 2018 IEEE Conference on Decision and Control (CDC). IEEE, 2018, pp. 6994–7001. 

[C1] J. Li and C. Fernando, “Smartphone-based personalized blood glucose prediction,” ICT Express, vol. 2, no. 4, pp. 150–154, 2016.