Niao He

Electrical and Computer Engineering
Niao He
Assistant Professor
  • Industrial and Enterprise Systems Engineering
211 Transportation Building
104 S. Mathews
Urbana Illinois 61801

For more information

Profile

Education

  • Ph.D. in Operations Research, Georgia Institute of Technology, 2015
  • M.S. in Computational Science and Engineering, Georgia Institute of Technology, 2015
  • B.S. in Mathematics and Applied Mathematics, University of Science and Technology of China, 2010

Academic Positions

  • Affiliate Assistant Professor, Department of Electrical and Computer Engineering, UIUC, August 2018-present
  • Affiliate Assistant Professor, National Center for Supercomputing Applications, UIUC, June 2018-present
  • Affiliate Assistant Professor, Coordinated Science Laboratory, UIUC, Feb 2016-present
  • Assistant Professor, Department of Industrial and Enterprise Systems Engineering, UIUC, Jan 2015-present

Other Professional Employment

  • Research Intern, Mitsubishi Electric Research Laboratories, Cambridge, Massachusetts, Summer 2013
  • Research Intern, Microsoft Research Asia, Beijing, China, Summer 2009

Resident Instruction

  • SE 494 Senior Design Project, Spring 2017, Spring 2018, Fall 2018
  • IE 521 Convex Optimization, Spring 2017, Spring 2019
  • IE 598 Big Data Optimization, Fall 2016, Spring 2018
  • IE 300 Analysis of Data, Spring 2016, Fall 2017

Research Interests

  • Reinforcement Learning
  • Optimization under Uncertainty
  • Machine Learning
  • Large-scale Optimization

Teaching Honors

  • List of Teachers Ranked as Excellent, UIUC (Spring 2018)
  • List of Teachers Ranked as Excellent, UIUC (Spring 2017)
  • List of Teachers Ranked as Outstanding, UIUC (Fall 2016)
  • Collins Scholar, UIUC (Spring 2016)

Research Honors

  • National Center for Supercomputing Applications (NCSA) Fellow (2018)
  • NSF CISE Research Initiation Initiative (CRII) Award (2018)
  • SIAM Early Career Travel Award, Society of Industrial and Applied Mathematics (2017)
  • Best Paper Award, Artificial Intelligence and Statistics 2016 (2016)

Courses Taught

  • IE 300 - Analysis of Data
  • IE 521 - Convex Optimization
  • IE 598 - Big Data Optimization