Sai Shi

Sai Shi

Data Science and Machine Learning reseacher, Pythonist, Developer, Hiker, Traveler

About

Hi! I am Sai, a Ph.D. student in Computer Science at Temple University, under supervision from Prof. Slobodan Vucetic.

My CV

Research Interests

My current research focused on applied machine learning, which is to use existing algorithms and models to address specific tasks across various industries, including wireless, physics, rankings, etc. I am particularly interested in transfer learning, domain adaptation, efficient AI, and lifelong learning algorithms. My research focus is answering the question: how to apply/optimize machine learning algorithms to practical scenarios for better decision making and problem solving given limited resources (available data, domain knowledge, computing hardware, etc.).

Education

  • M.S. in Electrical Engineering, University of California - Irvine, 2013-2015 (GPA: 3.6/4.0)
  • M.S. in Computer Engineering, Arizona State University, 2016-2018 (GPA: 3.7/4.0)
  • Ph.D in Computer Science, Temple University, 2019-2024 (GPA: 3.7/4.0)

Work experience

  • May 2022 - August 2022: Research Intern (NEC Laboratories America, Inc., Princeston, NJ)
    • Conducted data cleaning and feature extraction to ensure reliability of collected optical fiber sensing data
    • Deployed convolutional neural networks for rain intensity classification
    • Improved baseline accuracy by 8% using unsupervised domain adaptation
  • Sep. 2019 - Now: Research and Teaching Assistant (Temple University, Philadelphia, PA)
    • Research on data science projects, focusing on applied machine learning, transfer learning and ranking analysis
    • Assisted and mentored students in their lab sections of several courses
  • March 2019 - Sep 2019: Machine Learning Engineer (AsiaInfo, Beijing, China)
    • Designed and implemented the intelligent alert-warning system of 5G network
    • Implemented DBSCAN and FP-growth to detect 80% of root cause among system alerts
    • Documented and presented work directly to CTO and the clients

Skills

  • SQL
  • Python
    • Tensorflow
    • Keras
    • Pytorch
  • R
  • Matlab
  • Tableau
  • Spreadsheets
  • MongoDB
  • Django
  • Amazon Web Services (AWS)
  • Java