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Profile

I am a Ph.D student in Computer Science at University of California, Los Angeles (UCLA), supervised by Prof. Omid Abari. Previously, I earned my Master's degree in Computer Science from UCLA and my Bachelor's degree in Information Engineering from Shanghai Jiao Tong University (SJTU), where I work with Prof. Dongyao Chen.

In a nutshell, I am interested in wireless sensing and mobile computing.

Research

My research aims to develop cyber-physical systems for making our cities, homes, and life smarter and better, by combining multimodal sensing with signal processing and machine learning techniques. Specifically, I focus on:

  1. How to solve real-world problems with various ensing modules: magnetic, radio frequency, acoustic etc.
  2. How to make systems scalable and robust by applying signal processing and machine learning techniques.
Papers

METRO: Magnetic Road Markings for All-weather, Smart Roads

Jike Wang, Shanmu Wang, Yasha Iravantchi, Mingke Wang, Alanson Sample, Kang G. Shin, Xinbing Wang, Chenghu Zhou and Dongyao Chen

(SenSys'23) In the Proceeding of the 21th ACM Conference on Embedded Networked Sensor Systems (Acceptance ratio: 34/179=18.9%)

Paper,  Slide,  GitHub 

Experience

2022.03~2022.07 Machine Learning Intern in AIoT team

Mentor: Dr. Wanlin Yang

  • My primary responsibilities involved utilizing Transformers architecture for anomaly detection in multi-modal sensor data and conducting research on Federated Learning.
  • The slides for my final report can be found here. 

Teaching

Contact

shanmu.wang1110 [at] gmail.com

Design and source code from Riku Arakawa's website