In-Network Processing for Timely Federated Multi-Task Learning over Wireless Edges, Cisco Systems, Inc., August 2021 - Present.
Developing Federated Multi-task Learning model in Cisco Flame platform.
In-Network Processing for Timely Federated Multi-Task Learning over Wireless Edges, Cisco Systems, Inc., August 2021 - Present.
Developing Federated Multi-task Learning model in Cisco Flame platform.
Development of Distributed Underwater Monitoring & Control Networks, Korea Institute of Maritime Science & Technology Promotion, March, 2015 - December, 2022.
Analyzed current trends in machine learning for low-powered wireless sensor networks (particularly, Underwater Acoustic Sensor Networks), their features, advantages, and benefits.
Developed a Q-learning-based random access MAC protocol enabling underwater acoustic sensors to intelligently select the number of back-off slots and back-off duration such that packet collisions are minimized.
Developed an RL-based power control mechanism for underwater MACA-based MAC protocols that is robust to multiple interferers without any prior knowledge of the interferers.
Built a system-level simulator in MATLAB to test and evaluate the performance of underwater acoustic sensor networks.