Mobile and Intelligent Computing Laboratory


Lab Director

Zhuwei Qin

Assistant Professor of Computer Engineering

School of Engineering
San Francisco State University
Address: 1600 Holloway Ave, SCI211C, San Francisco, CA 94132

Research Interest

  • Efficient Mobile Computing
  • Deep Learning Acceleration
  • Distributed Edge Computing
  • Interpretable Deep learning


Dr. Zhuwei Qin joined San Francisco State University (SFSU) in 2020 as a faculty member in computer engineering. He is the Director of the Mobile and Intelligent Computing Laboratory (MIC Lab). His research interests are in the broad area of efficient mobile computing, deep learning acceleration, distributed edge computing, and interpretable deep learning.
In the past years of research, he has proposed a set of computational optimization approaches for deep neural network execution on mobile devices through better neural network interpretability. Related papers are published in the top international conferences and journals such as the British Machine Vision Conference (BMVC), the International Conference on Computer-Aided Design (ICCAD), and the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). His current research focuses on deep learning acceleration for real-time mobile applications, efficient and secure edge computing systems, and emerging IoT technologies.

Research Assistants

We are looking for Graduate/Undergraduate Researchers in topics:

  1. Efficient Deep Learning Optimization: Neural Network Compression, Neural Network Interpretation
  2. Mobile/Edge Computing: Distributed Learning, Federated Learning
  3. Novel Intelligent Application Development with Neural Network: Image Classification, Object Detection

Preferred abilities: Python, Java, C Programming, Android/Linux Development.

Graduate Research Assistant

Thanh Nguyen, EECS (SP21)

Shivam Rajesh Singh, EECS (SP21)

Undergraduate Research Assistant

Lisha (Kory) Zhou, Computer Science/ComE (SP21)