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Heng Li
Ph.D. (Queen’s University), Eng.

Phone: (514) 340-4711 Ext. 4238 Fax: (514) 340-5139 Room: M-4121
ResearchGate Google Scholar
Student research project(s)

Research interests and affiliations

Research interests
  • Software engineering
  • Software monitoring & observability
  • Engineering and operations of intelligent (AI-powered) software systems
  • DevOps & AIOps
  • Software logging & log analytics
  • Software performance engineering
  • Mining software repositories
  • Software maintenance and evolution
  • Machine learning & data mining
Expertise type(s) (NSERC subjects)
  • 2705 Software and development
  • 2706 Software engineering
  • 2720 Computer systems software

Publications

Recent publications

Biography

Heng Li leads the Measurement, Observation, and Optimization of Software and its Evolution (MOOSE) lab at Polytechnique Montréal. The mission of MOOSE is to invent intelligent and novel solutions for the monitoring/observability and operations of large, complex, and evolving software systems, including traditional systems and emerging systems (e.g., AI-based and quantum systems). Heng Li received his Ph.D. in Computing from Queen’s University in 2018. At Queen’s University, he worked as a PhD student and later as a Postdoctoral Fellow with the NSERC/RIM Industrial Research Chair in Software Engineering in the Software Analysis and Intelligence Lab (SAIL). He also obtained his B.Eng. from Sun Yat-sen University (China) and M.Sc. from Fudan University (China). He has several years of experience in the industry (Synopsys, BlackBerry) doing software development and research. To learn more about his research, please visit the MOOSE lab website.

Link(s) of interest

Teaching

  • LOG8371E – Software Quality Engineering
  • LOG6309E – Intelligent DevOps of Large-Scale Software Systems
  • LOG8490 – Quantum Software Engineering

Education

Supervision at Polytechnique

COMPLETED

News about Heng Li

NEWS | June 22, 2021
Discovery grants: Polytechnique Montréal obtains nearly $3,9 million for research programs | Read