Peng Cheng

Peng Cheng

About me

Correspondence

Research Areas

  • Privacy and Fairness in AI;
  • Machine Learning;
  • Evolutionary Multi-Objective Optimization;
  • Scheduling and Constraint Programming

Biography

Peng Cheng is a lecturer in the Faculty of Computer and Information Science at Southwest University, China.

Peng has conducted research focused on safeguarding privacy in the context of data mining. In contemporary society, there is a growing necessity to exchange a greater volume of data among individuals or institutions in order to obtain advantages and generate financial gains, or to comply with regulatory requirements for public disclosure. Nevertheless, individuals often express concerns over the issue of privacy infringement. Peng’s research centers on the prevention of the disclosure of confidential information.

Previously, Peng was a post-doctoral researcher in the CS department of Free University of Bozen-Bolzano in 2019-2020. During this time, Peng’s research mostly revolved around the scheduling problem in construction and the utilization of constraint programming techniques. The modeling of construction scheduling was approached as a Constraint Satisfaction Problem (CSP), with the subsequent development of solutions and tools utilizing constraint programming approaches for its resolution.

Prior to that, he was a postdoctoral researcher at University of Kansas Medical Center, USA, in 2016-2017. During this period, Peng conducted an investigation into illness predicting models that utilized supervised machine learning techniques applied to structural medical data. In 2016, Peng received Ph.D. in Computer Science from Harbin Institute of Technology, China.

Peng is broadly interested in statistical machine learning, evolutionary multi-objective optimization, and trustworthy machine learning (robustness, privacy, fairness, and et al.). His recent research has concentrated on privacy-preserving data mining, scheduling optimization, and fairness in machine learning.

Education

  • 2016, Ph.D., Computer Science, Harbin Institute of Technology, China

  • 2003, M.S., Computer Science, Beijing University of Technology, China

  • 2000, B.S., Computer Science, Shenyang Jianzhu University, China

Post-Doctoral Training

  • 2019.10-2020.12, Post-doctoral Fellow in School of Computer Science, Free University of Bozen-Bolzano, Italy (Project CockPiT)

  • 2016.10-2017.08, Post-doctoral Fellow in Department of Medical Informatics, University of Kansas Medical Center, USA

Professional Experience

  • 2019.05-2019.09, Visiting Scholar in Department of Information Engineering, Feng Chia University, Taiwan, R.O.C.

  • 2008.07-present, Lecturer in School of Computer and Information Science, Southwest University, China