Assistant Professor School of System Design and Intelligent Manufacturing
Zhenkun received his PhD degree from Xidian University in December 2016. From February 2017 to January 2019, he worked as a Research Fellow at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His research interests include metaheuristics algorithm, multiobjective optimization and their application on the traffic management of UAVs. From January 2019 to March 2020, he worked as a Postdoctoral Research Fellow at the Department of Computer Science, City University of Hong Kong. He developed a multiobjective optimization aided decision-making system for large-scale manufacturing planning. From April 2020 to May 2020, he worked as a Research Fellow at the City University of Hong Kong Shenzhen Research Institute, mainly engaged in the research of multiobjective evolutionary optimization algorithms. In June 2020, Zhenkun joined the School of System Design and Intelligent Manufacturing, Southern University of Science and Technology as an Assistant Professor. As a key member, Dr Wang participated in several projects funded by the National Natural Science Foundation of China (NSFC), the Civil Aviation Authority of Singapore (CAAS), the French National Research Agency (Agence Nationale de la Recherche, ANR), the Research Grants Council of Hong Kong (HKRGC), Huawei Technologies Co., Ltd, etc. He has published a number of papers in international journals and conferences. He serves as an Associate Editor of Swarm and Evolutionary Computation (JCR Q1).
2020.04 – 2020.05, Research Fellow, City University of Hong Kong Shenzhen Research Institute, Shenzhen, China
2019.01 – 2020.03, Postdoctoral Research Fellow, Department of Computer Science, City University of Hong Kong, Hong Kong
2017.02 – 2019.01, Research Fellow, School of Computer Science and Engineering, Nanyang Technological University, Singapore
2011.08 – 2016.12, PhD, School of Electronic Engineering, Xidian University, Xi'an, China
1, Multiobjective optimization and decision making;
2, Supply chain management and intelligent optimization;
3, Artificial intelligence assisted optimal design.
SDM223 System Design and Management
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The Computational Intelligence and Advanced Manufacturing (CIAM) group is established and led by Dr. Wang Zhenkun. Our group is devoted to the research of Computational Intelligence methods and their applications in Advanced Manufacturing.
Research topics include but not limited to:
Multiobjective optimization and decision-making
In this topic, we mainly focus on the research of multiobjective optimization algorithms, multiobjective decision-making systems, and their applications in engineering problems.
Supply chain management and intelligent optimization
This topic is geared towards the optimization problems in supply chain management, such as the warehouse location problem, logistics planning, and job-shop flow scheduling, and so on. We are aiming to develop novel intelligent optimization algorithms, such as heuristic algorithms and machine learning algorithms, to improve production efficiency, resource utilization, and environmental protection. The ultimate goal is to build a smart supply chain management system that is friendly to the economy, society and environment.
Artificial intelligence assisted optimal design
Some complex optimization problems (such as aircraft design, antenna design and circuit design) exist in industrial design and manufacturing. We are trying to utilize artificial intelligence assisted technologies (e.g., surrogate model-assisted optimization algorithm, etc.) to improve the design and manufacturing process.
- International Master and Ph.D. students (Starting from 2021 Fall)
- Research Assistants and Postdoctoral researchers
Required/Desired Skills and Qualifications:
- Degree in computer science, operational research, math, electronic engineering or other related fields,
- Good English listening, speaking, reading and writing skills,
- Experience in computational intelligence algorithm development, supply chain management and intelligent optimization will be an advantage,
- The postdoctoral position has an age limit of 35 years.
How to apply:
If you are interested in joining us, please send your application to firstname.lastname@example.org (with the subject line in the following format: Name_ Position _ CIAM).