Teaching and Mentorship

Teaching at Cornell

• Instructor: ORIE 3300/5300 Optimization I, Cornell University.

  • Fall 2024

Teaching at UCLA

• Teaching Assistant: ECE 133A Applied Numerical Computing, UCLA.

  • Spring 2017 · Winter 2018 · Fall 2018 · Fall 2021

  • Tutorial slides

• Teaching Assistant: ECE 205A Matrix Analysis for Scientists and Engineers, UCLA.

  • Fall 2020

  • Review notes

• Teaching Assistant: ECE 236B Convex Optimization, UCLA.

  • Winter 2017 · Spring 2018 · Winter 2019 · Winter 2021 · Winter 2022

  • Tutorial slides for duality

• Teaching Assistant: ECE 236C Optimization Methods for Large-Scale Systems, UCLA.

  • Spring 2019 · Spring 2022

Mentorship

• Summer Research Program Supervisor
  Summer Undergraduate Research Program (SURP), UCLA, June – August 2021

• Academic Mentor
  Research in Industrial Projects for Students (RIPS) Program, IPAM, UCLA, June – August 2019

I am also fortunate to supervise self-motivated junior students on various research projects, with Arielle Carr (Lehigh CSE), Frank E. Curtis (Lehigh ISE), Cesar A. Uribe (Rice ECE), Sihong Xie (HKUST-SZ), and Jiarong Xu (FDU Business).

• Ning Fang, MS, Cornell Systems Engineering
  Topic: Decentralized optimization

• Edward D. H. Nguyen, PhD, Rice ECE
  Topic: Decentralized optimization

• Qi Wang, PhD, Lehigh ISE
  Topic: Constrained stochastic optimization

• Rishad Islam Shantho, PhD, Lehigh CSE
  Topic: Preconditioning in iterative solvers for linear systems

• Jiaxin Liu, PhD, Lehigh CSE
  Topic: Federated learning and artificial intelligence

• Shujing Feng, MS, Lehigh CSE
  Topic: Federated learning and decentralized optimization

• Shuohao Ping, MS, UCLA CS
  Topic: Quantum computing

• Renhong Huang, MS, ZJU CS
  Topic: Machine learning on graphical data