Her research interests include developing deep learning–driven security and privacy for cyber-physical-social systems, designing hybrid weakly supervised deep learning algorithm exploiting domain knowledge, developing blockchain-powered internet of thing (IoT)-enabled secure and privacy-preserving crowdsourced computing paradigm, designing social sensing-enabled situational awareness mechanism, designing opportunistic and attack-resilient hybrid networking infrastructure for smart grids, developing bio-inspired assured reinforcement learning–based real-time optimal decision making, designing decentralized and secure computing and networking paradigm for deep space exploration, and developing low-complexity machine learning algorithm and its digital VLSI implementation. Based on the research achievements, she has received NASA Early Career Faculty Grant, DoE/SuNLaMP Award, DoE/BIRD Foundation Award, UA NSF I-Corps Grants, UA Faculty Research Fellowship, and Firestone Research Initiative Fellowship Award. She has also achieved multiple best paper awards for the journal and conference publications.
