Management Team

Manager:

Liang Qi Liang Qi,Senior Member, IEEE.He is currently a lecturer of Computer Science and Technology at Shandong University of Science and Technology, Qingdao, China. He has authored over 50 technical papers in journals and conference proceedings, including IEEE Transactions on System, Man and Cybernetics: Systems, IEEE Transactions on Intelligent Transportation Systems, and IEEE/CAA Journal of Automatica Sinica. He received the Best Student Paper Award-Finalist in the 15th IEEE International Conference on Networking, Sensing and Control (ICNSC’2018). His current research interests include Petri nets, discrete event systems, and optimization algorithms.
Yuanyaun Tan Yuanyuan Tan's research focuses on the optimization and scheduling issues in the steel production process. As the first author, she has published and had accepted a total of 14 papers related to scheduling, of which 6 are indexed by SCI and 13 by EI. These publications appear in prestigious international and domestic journals in related fields. She has led one youth project under the National Natural Science Foundation of China and three provincial-level fund projects. In 2015, she was selected for the "Ten Thousand Talents Program" of the ninth batch of the "Hundred, Thousand, and Ten Thousand Talents Project" in Liaoning Province.
Xu Wang Received his B.S. degree in Automation from Liaoning university of technology, Jinzhou, China, in 2006, M.S. degree in Control theory and control engineering from Liaoning university of technology, Jinzhou, China, in 2010, and Ph.D. degree in System Engineering from Northeastern University, Shenyang, China, in 2017. He is presently an Associate Professor of Computer Science and Technology at Shenyang University of Chemical Technology. His research focuses on logistics and supply chain management, project management and human resource optimization, robust optimization. He has published over 30+ journal and conference papers in the above research areas.
Jian Zhao Received his B.S. and M.S. degrees from University of Science and Technology Liaoning, Anshan, China, in 2004 and 2007, respectively, Ph.D. degree in System Engineering from Northeastern University, Shenyang, China, in 2019. He is currently an Associate Professor of School of Science at University of Science and Technology Liaoning. His research focuses on economic dispatch and coal blending in power systems, and intelligent optimization algorithm. Till now, he has published over 20 international journal and conference papers in the above areas.
Shujin Qin Received his Ph.D. degree in System Engineering from Northeastern University, Shenyang, China in 2019. He joined Shangqiu Normal University, Shangqiu, China in 2019, and is now a lecturer of logistics management. His current research interests include large-scaled integer programming, cutting stock problem, vehicle routing problem, traveling repairman problem and intelligent optimization algorithm.
Yingjun Ji Yingjun Ji (M’23) received his B.S. degree in Automation, M.S., and Ph. D. degrees in Systems Engineering from Northeastern University, Shenyang, China in 2012, 2015, and 2022, respectively. He is currently a lecturer of Faculty of Information at Liaoning University, Shenyang, China. His current research interests include industrial big data, intelligent manufacturing, machine learning, and intelligent optimization algorithm.
Qi Zhang Qi Zhang received her B.S. degree and M.S. degree in applied mathematics from Shenyang Normal University, Shenyang, China in 2012 and 2015, respectively, and Ph.D. degree in Systems Engineering from Northeastern University, Shenyang, China in 2022. She is currently a lecturer of the College of Information Engineering at Shenyang University of Chemical Technology. Her research focuses on bin packing problem, steel production scheduling and planning, mathematical programming, and intelligent optimization algorithm.
Ziyan Zhao Received his B.S., M.S., and Ph.D. degrees in 2015, 2017, and 2021, respectively, from the College of Information Science and Engineering, Northeastern University, Shenyang, China, where he is currently working as an Assistant Professor. From October 2018 to October 2020, he studied as a visiting Ph.D. student in the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA. His research focuses on intelligent manufacturing, intelligent optimization algorithm, industrial big data, and production planning and scheduling. Till now, he has published over 30 international journal and conference papers in the above areas.
Shen Yan Shen Yan received his B.S. and M.S. degrees in 2014 and 2017, from the School of Science and the School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China, respectively, Ph. D. degree in Systems Engineering from Northeastern University, Shenyang, China in 2024. He is currently a lecturer of the School of Science, Shenyang University of Technology, Shenyang, China. His research focuses on data mining, machine learning and deep learning.
Luobin Cui Luobin Cui received his B.S. degree in Computer Science and Technology from Jiangsu University of Technology in 2020 and his M.S. degree in Software Engineering from Monmouth University in 2022. Since 2022, he has been pursuing a Ph.D. degree in Electrical and Computer Engineering at Rowan University. His research focuses on data generation, machine learning, deep learning, and data fusion.
Guipeng Xi Guipeng Xi received his Bachelor of Engineering degree from Yancheng Teachers University in 2021 and his Master of Engineering degree from Liaoning Petrochemical University in 2024. He is currently pursuing a Ph.D. at Northwestern Polytechnical University. His research interests include intelligent remanufacturing, reinforcement learning, and intelligent computing.
Tingting Wei Tingting Wei received her M.S. degree in Computer Technology from the Liaoning Petrochemical University, China, in 2023. She is currently a doctoral student in the School of Mechanical Engineering at Dalian University of Technology, Dalian, China. Her research interests include intelligent manufacturing, reinforcement learning algorithms, and collaborative planning and scheduling.
Ronghe Zhou Received the B.S. and M.S. degrees in computer from Liaoning Petrochemical University, Fushun, China, in 2018 and 2020, respectively. He is currently pursuing the Ph.D. degree in Control Science and Engineering from University of Science and Technolygy Liaoning. His research interests include evolutionary computation and bioinformatics.
Qingbo Meng He received his B.S. degree in Intelligent Science and Technology from Hebei University of Technology in Tianjin, China in 2021. Subsequently, he obtained his M.S. degree from the School of Computer and Communication Engineering at Liaoning University of Petroleum and Chemical Technology in Fushun, China. Currently, he is pursuing his doctoral degree at Hebei University of Technology, with research interests including reinforcement learning algorithms.
Feng Guo He received the bachelor's degree in Air Transportation Management from Civil Aviation University of China (Tianjin, China) in 2021 and the master's degree in Computer Science and Technology from Liaoning University of Petrochemical Technology (Fushun, China) in 2025. He is currently pursuing a Ph.D. degree in Data Science and Technology at Dalian University of Technology (Dalian, China).
Chenyang Fan Information and Control Engineering College, Liaoning Petrochemical University, Fushun, China. Chenyang Fan received the B.S. degree in information and computing science from Shanxi Normal University and He obtained a master's degree from Liaoning University of Petrochemical Technology.He is currently pursuing a doctoral degree at Southeast University.
Zhenlu Qin Zhenlu Qin is an Assistant Professor in the Department of Computer Science & Computer Information Systems at Auburn University at Montgomery. He received his Ph.D. in Electrical and Computer Engineering from the New Jersey Institute of Technology in 2024. Before that, he earned his bachelor's and master's degrees from Hefei University of Technology, China, in 2014 and 2017, respectively. His research interests include scientific big data, scientific data management, high-performance computing (HPC), data compression and reduction, and I/O performance.
Yan Wang Dr. Yan Wang is one of the UK’s leading researchers in remanufacturing, has published 100+ papers in manufacturing and been granted 10 patents. Dr Wang chairs BSI committee TPR1/7/3, serves on BSI technical group BS8887 which gives the definition of remanufacturing with her knowledge embedded into Part 3 of BS8887 “the Guide to choosing an appropriate end-of-life strategy”. She is the secretary of the Sino-UK Low Carbon Manufacturing Consortium supported by EPSRC network fund (EP/J007870/1).
XIAOYU SEAN LU XIAOYU SEAN LU received the Ph.D. degree from the New Jersey Institute of Technology, Newark, NJ, USA, in 2019. He was a Research Scholar with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA. Current he is an assistant professor with the School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, China. He has published 30+ articles in journals and conference proceedings, including the IEEE TSMC, IEEE/CAA JAS, and AAAI. His current research interests include deep learning, data mining, social media data analysis, and their applications in the industry.
Shouguang Wang Shouguang Wang (Senior Member, IEEE) received the B.S. degree in computer science from the Changsha University of Science and Technology, Changsha, China, in 2000, and the Ph.D. degree in electrical engineering from Zhejiang University, Hangzhou, China, in 2005. He joined Zhejiang Gongshang University in 2005, where he is currently a Professor with the School of Information and Electronic Engineering, the Director of the Discrete-Event Systems Group, and the Dean of System modeling and Control Research Institute, Zhejiang Gongshang University