Keqin Liu

Associate Professor, Mathematical theory for AI algorithms

Calculated based on number of publications stored in Pure and citations from Scopus
20072025

Research activity per year

Personal profile

Personal profile

Dr. Keqin (Kevin) Liu (刘克勤) received his Ph.D. degree from the University of California at Davis in 2010 and joined industry as a software engineer in 2012 after 2 years of postdoc experience. After 8 years of working in the Silicon Valley, Dr. Liu still has a lot passion in mathematics and decided to return to academia in 2020 when working in ASML and subsequently taught in Nanjing University until joining XJTLU in 2024.

Research interests

Dr. Liu’s research interests include the development of modern math theory for AI technologies, the extension of pure math theory, especially number theory, and the application of pure math theory to solving practical problems in machine learning, e.g., multi-armed bandit in reinforcement learning.

Experience

Associate Professor, School of Math. & Phys., XJTLU, China (2024.08-now)

Lecturer, Math. Dept. & NJ-Helsinki Inst., NJU, China (2020.11-2024.07)

Sr. Software Engineer, ASML, Silicon Valley, USA (2019.02-2020.10)

Staff Software Engineer, KLA, Silicon Valley, USA (2016.03-2019.01)

CTO, Startup (Social E-Commerce), Silicon Valley, USA (2015.07-2016.03)

Sr. Software Engineer, MOOG, Silicon Valley, USA (2012.09-2015.07)

Postdoctoral Scholar and Lecturer, UC-Davis, USA (2010.10-2012.09) 

Teaching

Fall 25/26:

MTH219: Complex Functions

MTH301: Final Year Project (Bachelor)

MTH446: Dissertation (Master)

Spring 24/25:

MTH302: Applied Probability

MTH301: Final Year Project (Bachelor)

Fall 24/25:

MTH205: Introduction to Statistical Methods

MTH301: Final Year Project (Bachelor)

Spring 23/24 (NJU):

Calculus II

Linear Algebra

Machine Learning: Mathematical Theory and Applications

Light of Science: AI and Mathematics

Light of Science: Human Civilization and Technology Development Boosted by Mathematics

Fall 23/24 (NJU):

Calculus I

Probability Theory and Statistics (2 parallel classes)

Spring 22/23 (NJU):

Machine Learning: Mathematical Theory and Applications

Light of Science: Human Civilization and Technology Development Boosted by Mathematics

Fall 22/23 (NJU):

Calculus I 

Spring 21/22 (NJU):

Machine Learning: Mathematical Theory and Applications

Light of Science: Human Civilization and Technology Development Boosted by Mathematics

Operations Research 

Fall 21/22 (NJU):

Probability Theory and Statistics

Spring 20/21 (NJU):

Stochastic Optimization

Summer 2011 (UC-Davis):

EEC150A: Signals and Systems I

Awards and honours

2024 SIP International Leading Talent (400,000 RMB fund), Suzhou, China, Jan. 6, 2025.

2024 First Prize for Excellent Paper Award, JAAS Annual Academic Conference, Nanjing, China, September 20-22, 2024.

2023 Zhi-Jian Award for Excellence in Teaching (mathematics), NJU, China

2021 Zi-Jin Talent Award (800,000 RMB fund), NJU, China

2021 Zheng-Gang Talent Award (300,000 RMB fund), NJU, China

2012 Zuhair A. Munir Award for Best Doctoral Dissertation, College of Engineering (selected from all the 7 departments), UC-Davis, USA

2011 Alien of Extraordinary Ability, USCIS, USA

External positions

Council Member, Chinese Association for Applied Statistics - Digital Twin and Uncertainty Quantification

Oct 2025Oct 2029

Chief Scientist, Shanghai Aquarian Century Artificial Intelligence Technology Co., Ltd.

Aug 2025Jul 2030

Council Member, Jiangsu Association for Applied Statistics

Jul 2022Jul 2026

Research Fellow, Jiangsu National Center for Applied Mathematics

Nov 2020Aug 2025

Research areas

  • Reinforcement Learning
  • Number Theory

Person Types

  • Staff

Fingerprint

Dive into the research topics where Keqin Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or