I am a Ph.D. student at Department of Computer Science in University of Maryland College Park, advised by Prof. Nirupam Roy. My research interests are Edge Computing, Spatial Signal Processing, Sensory Intelligence, Embedded Learning, and Power-aware Computing, especially applicating these techniques on healthcare and IoT. Before becoming a Ph.D. student at UMD, I graduated from WINLAB, Rutgers University and Stevens Institute of Technology with MS in Electrical and Computer Engineering. I got my BS in Dalian Maritime University.

  • Edge Computing
  • Spatial Signal Processing
  • Sensory Intelligence
  • Embedded Learning
  • Power-aware Computing
  • PhD student in Computer Science, 2021 - Present

    University of Maryland, College Park

  • MS in Electrical and Computer Engineeering, 2020

    Rutgers University

  • MS in Electrical Engineering, 2018

    Stevens Institute of Technology

  • BS in Electrical Engineering and Automation, 2016

    Dalian Maritime University


Conference and journal papers

Posters and demos


Project: Acoustic-based Sensing and Applications

  • Reviewed acoustic-based sensing in terms of hardware infrastructure, technical approaches, and its broad applications in recognition & tracking, localization & navigation, security & privacy, and communication
  • Discussed future research directions and limitations of the acoustic-based sensing

Project: Inaudible High-throughput Acoustic Communication

  • Designed an acoustic communication system, which achieves high-throughput and inaudibility simultaneously, and the highest throughput we achieve is 12 times higher than the state-of-the-art acoustic communication systems
  • Modeled the non-linearity of the mobile device’s inbuilt microphone and use Orthogonal Frequency Division Multiplexing (OFDM) technique together with the non-linearity model to transmit data bits over multiple orthogonal channels with an ultrasound frequency carrier
  • Proposed an algorithm to eliminate the unrelated residual signals induced by Amplitude Modulation (AM)

Project: Monitoring Movement Dynamics of Robot Cars and Drones

  • Proposed a smart system that can monitor the movement dynamics of carrying platforms (i.e., robot cars and drones) leveraging the inertial sensors of the attached smartphone
  • Monitored the movement dynamics of carrying platforms in real time, such as moving speed, displacement, and position
  • Achieved real-time movement dynamics sharing with the backend server through WiFi connection