Miqing Li

Registered user since Thu 25 Jan 2018

Name:Miqing Li
Bio:

Dr Miqing Li is an assistant professor at the University of Birmingham and a Turing Fellow of the Alan Turing Institute, UK. Miqing’s research revolves around multi-objective optimisation. In general, his research consists of two parts: 1) basic research, namely, developing effective evolutionary algorithms for general challenging optimisation problems such as those with many objectives, complex constraints, numerous local/global optima, uncertainty, and expensive to evaluate, and 2) applied research, namely, designing customised search algorithms for practical problems in other fields such as those in software engineering, high-performance computing, neural architecture search, disassembly automation, and supply chain.

Country:United Kingdom
Affiliation:University of Birmingham
Research interests:Multi-Objective Optimisation, Evolutionary Computation

Contributions

ICSE 2023 Author of Methodology and Guidelines for Evaluating Multi-Objective Search-Based Software Engineering within the Technical Briefings-track
SSBSE 2022 Author of Methodology and Guidelines for Evaluating Multi-Objective Search-Based Software Engineering within the Tutorial-track
ASE 2022 Author of The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering within the Journal-first Papers-track
ICSE 2022 Author of Search-based Diverse Sampling from Real-world Software Product Lines within the Technical Track-track
ESEC/FSE 2021 Author of Multi-objectivizing Software Configuration Tuning within the Research Papers-track
ICSE 2021 Committee Member in Program Committee within the SRC - ACM Student Research Competition-track
* ICSE 2018 * Author of A Critical Review of "A Practical Guide to Select Quality Indicators for Assessing Pareto-Based Search Algorithms in Search-Based Software Engineering": Essay on Quality Indicator Selection for SBSE within the NIER - New Ideas and Emerging Results -track