About me
I am a Ph.D. candidate in the Department of Computer Science at The University of Texas at San Antonio, where I began my doctoral studies in 2020. Prior to that, I worked as a Software Development Engineer for three years. I received my M.S. degree in Computer Engineering from The University of Texas at San Antonio in 2017.
My research interests include over-the-air (OTA) updates and Tiny Machine Learning (TinyML) in energy harvesting Internet of Things (IoT) devices.
Recent News
January 2025: Our papers, “Energy-Adaptive Checkpoint-Free Intermittent Inference for Low Power Energy Harvesting Systems” and “Energy-efficient Persistently Secure Block-based Differential Checkpointing for Energy Harvesting Devices”, have been accepted to ISQED’25.
August 2024: Successfully defended dissertation proposal and became a Ph.D. Candidate.
July 2024: Received NSF ISVLSI Student Travel Grant Award and the Graduate School Professional Development Travel Award.
June 2024: Our paper “Intermittent OTA Code Update Framework for Tiny Energy Harvesting Devices” has been accepted to TCAD.
May 2024: Our paper “Energy-aware Incremental OTA Update for Flash-based Batteryless IoT Devices” has been accepted to ISVLSI’24.
April 2024: Our paper “Autotile: Autonomous Task-tiling for Deep Inference on Battery-less Embedded System” has been accepted to GLSVLSI’24.
September 2022: Our paper “Construction Worker Ergonomic Assessment via LSTM-Based Multi-Task Learning Framework” has been accepted to CRC’22.
July 2022: Attended DAC’22 Young Fellow Program.
March 2022: Received the Graduate School Professional Development Travel Award.
January 2022: Our paper “An Intermittent OTA Approach to Update the DL Weights on Energy Harvesting Devices” has been accepted to ISQED’22.
November 2021: Attended DAC’21 Young Fellow Program.
June 2021: Our paper “Memory-aware Efficient Deep Learning Mechanism for IoT Devices” has been accepted to ASAP’21.
December 2020: Successfully passed the Ph.D. qualifying exam in the Department of Computer Science at UTSA.