Research Projects
My research interests lie in machine learning, wireless communications and networking, and information theory. Current research topics include:
Multi-armed bandits and reinforcement learning
Federated learning and distributed/decentralized learning
Learning and optimization in mmWave communication networks
Application of machine learning and deep learning in wireless networks, power grids and geosciences
Active Projects
PI, National Science Foundation (NSF), Communications, Circuits, and Sensing-Systems (CCSS) core program, ‘‘Collaborative Research: Optimized Testing Strategies for Fighting Pandemics: Fundamental Limits and Efficient Algorithms’’.
PI, National Science Foundation (NSF), Computer and Network Systems (CNS) core program, ‘‘Collaborative Research: CNS Core: Timely Computing and Learning over Communication Networks’’.
PI, National Science Foundation (NSF), Computer and Network Systems (CNS) core program, ‘‘CNS Core: Medium: When Next Generation Wireless Networks Meet Machine Learning’’.
PI, National Science Foundation (NSF), Spectrum and Wireless Innovation enabled by Future Technologies (SWIFT) program, ‘‘Learning-Efficient Spectrum Access for No-Sensing Devices in Shared Spectrum’’.
PI, National Science Foundation (NSF) and Intel, Machine Learning for Wireless Networking Systems (MLWiNS) program, ‘‘Dino-RL: A Domain Knowledge Enriched Reinforcement Learning Framework for Wireless Network Optimization’’.
Co-PI, National Science Foundation (NSF), Communications, Circuits, and Sensing-Systems (CCSS) core program, ‘‘Energy-Efficient Broadband Spectrum Sensing in Real Time Based on a Frequency-Domain Analog Signal Processor’’.
Co-PI, Department of Energy (DOE), ‘‘Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties’’, Phase I and Phase II.
Selected Completed Projects
PI, National Science Foundation (NSF), CAREER program,‘‘CAREER: When Energy Harvesting Meets ‘Big Data’: Designing Smart Energy Harvesting Wireless Sensor Networks’’.
PI, National Science Foundation (NSF), Communications, Circuits, and Sensing-Systems (CCSS) core program, ‘‘Energy-aware Sparse Sensing’’.
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