Jongho Kim

Jongho Kim Ph.D. Student Department of Electrical Engineering Stanford University Email: jkim22 [at] stanford (dot) edu Office: Packard 257, Stanford, CA 94305

Education

• Ph.D., Electrical Engineering, Stanford University, 2016–Present

  • Advisor: Professor Stephen Boyd

• M.S., Electrical Engineering, Stanford University, 2016-2018

• B.S. with highest honor, Electrical Engineering, Minor Computer Science, University of Illinois Urbana-Champaign, 2010-2016

Research

My research interest lies in optimization algorithms with focus on applications in machine learning.

• Optimal operation of a plug-in hybrid vehicle with battery thermal and degradation model J. Kim, Y. Park, J. Fox, S. Boyd, and W. Dally

• Sample efficient reinforcement learning with REINFORCE J. Zhang, J. Kim, B. O'Donoghue, and S. Boyd

• Multi-forecast Model Predictive Control for Plug-in Hybrid Vehicles. J. Kim et al. In preparation.

• Analysis of the Policy Gradient Method in Perturbed Episodic Environments. J. Kim et al. In preparation.

Teaching

• EE 364A (Convex Optimization I) course assistance, 2018-19 winter

• EE 263 (Introduction to Linear Dynamical Systems) course assistance, 2019-20 fall

• EE 364A (Convex Optimization I) course assistance, 2019-20 winter, 2020-21 winter

Awards

• Samsung Scholarship

• 2015 Korean Honor Scholarship [List]

• ECE James Scholar

Miscellaneous

• Half Marathon on 2015 Illinois Marathon

  • Net Time: 1:44:24

  • Overall: 426 out of 4934 Record

• Half Marathon on 2016 Illinois Marathon

  • Net Time: 1:44:19

  • Overall: 399 out of 4267 Certificate