Lei  Yang


Phone: 1-949-302-7908

Physical Address

Room 134B
Electrical & Computer Engineering (ECE)
Building # 46 on the UNM map

Mailing Address

MSC01 1100
1 University of New Mexico
Albuquerque, NM 87131-1070

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Assistant Professor

Department of Electrical and Computer Engineering

Personal Website


PhD, Computer Science, Chongqing University, 2019

BS, Computer Science, Chongqing University, 2013


Dr. Yang joined UNM after her experience of Post-Doctoral Research Associate in the Department of Computer Science and Engineering at the University of Notre Dame. Before that, Dr. Yang was a research scholar at the University of California, Irvine from Oct. 2017 to Feb. 2019, and a research scholar at the University of Pittsburgh from Feb. 2019 to Aug. 2019. Dr. Yang’s research focuses on Automated Machine Learning, Embedded Systems, and High-Performance Computing Architectures. Dr. Yang has created methods in the Hardware/Software co-exploration for neural architectures. Approaches developed by her group have been deployed to the resource-constrained edge AI systems and applied to medical applications to improve the quality of healthcare and largely reduce cost.

Dr. Yang has authored and co-authored more than 40 research articles in refereed international conferences and premier journals, including DAC, CODES+ISSS, ASP-DAC, ICCD, ASP-DAC, HPCC, RTCSA, and IEEE Trans. TC, IEEE Trans. TPDS, IEEE Trans. TVLSI, IEEE Trans. TCAD, ACM Trans. TECS, and FGCS. She has received one Best Paper Award in ICCD 2017, and five Best Paper Nomination in ASP-DAC 2020, CODES+ISSS 2019, DAC 2019, ASP-DAC 2019 and ASP-DAC 2016.

Teaching Interests

  • Computer Architecture
  • Computer Operating Systems
  • Machine Learning for Embedded Systems

Research Interests

  • Hybrid Computing and Communication Systems
  • Hardware/Software Co-Exploration for Neural Architectures
  • Machine Learning for Emerging Applications
  • Optimization