Assoc. Prof. Dr. Shijie Zhao | Mathematics | Best Researcher Award
Associate Professor of Liaoning Technical University, China
Associate Professor Dr. Shijie Zhao is a distinguished academic in the Institute of Intelligence Science and Optimization at Liaoning Technical University. With a solid academic foundation, including a Ph.D. from the same institution and a background in mathematics, he brings a wealth of knowledge to his research. His tenure as an Associate Professor since 2012, combined with his roles in various research projects and his directorship, underscores his leadership and expertise in the field.📚🔬🎓
Professional profile
Education🎓
Associate Professor Dr. Shijie Zhao earned his Ph.D. in Optimization and Management Decisions from Liaoning Technical University in 2018. He previously completed a successive postgraduate and doctoral program in Mathematics and Applied Mathematics at the same institution between 2012 and 2014. His academic journey began with a B.S. degree in Science of Information & Computation, which he completed in 2012.
Professional Experience🏛️ 🧑🏫
Dr. Zhao has been serving as an Associate Professor at Liaoning Technical University since 2012 and is the Director of the Institute of Intelligence Science and Optimization. His career includes significant roles in various research projects and funding initiatives, demonstrating his leadership in his field.
Research Achievements and Innovations🌐
Dr. Zhao’s research spans several advanced areas, including metaheuristic optimization, multi-objective optimization, and underwater navigation. His innovative contributions are evident through nine scientific papers published in prestigious journals. His role as a reviewer for over ten top-tier journals and his involvement in numerous research projects funded by major institutions, such as the China Postdoctoral Science Foundation and the National Natural Science Foundation, further highlight his significant impact in the field.
He has made groundbreaking advancements, such as proposing new optimization strategies and enhancing underwater navigation reliability. His work in developing novel methods for high-dimensional feature selection and improving navigation mechanisms demonstrates his ability to push the boundaries of current knowledge and application.
Achievements🏅
Dr. Zhao has published nine papers in prestigious international journals, contributed to the development of two patents, and has been actively involved in over ten scientific research projects. His work in metaheuristic optimization, feature selection, and underwater navigation has led to significant advancements in these areas. He is also recognized for his editorial roles in numerous journals and has received substantial research funding, underscoring his impact and recognition in the academic community.
Publications top noted 📚
- Triangulation Topology Aggregation Optimizer: A Novel Mathematics-Based Meta-Heuristic Algorithm for Continuous Optimization and Engineering Applications
Author: Zhao, S., Zhang, T., Cai, L., Yang, R.
Journal: Expert Systems with Applications
Year: 2024
Citations: 21 📚 - Multi-objective Dwarf Mongoose Optimization Algorithm with Leader Guidance and Dominated Solution Evolution Mechanism
Author: Zhao, S., Zhang, H., Ma, S.
Journal: Journal of Frontiers of Computer Science and Technology
Year: 2024
Citations: 0 📚 - A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
Author: Zhao, S., Zheng, W., Li, Z., Zhu, H., Xu, A.
Journal: IEEE Geoscience and Remote Sensing Letters
Year: 2024
Citations: 2 📚 - A Dynamic Support Ratio of Selected Feature-Based Information for Feature Selection
Author: Zhao, S., Wang, M., Ma, S., Cui, Q.
Journal: Engineering Applications of Artificial Intelligence
Year: 2023
Citations: 3 📚 - Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
Author: Zhao, S., Zheng, W., Li, Z., Zhu, H., Xu, A.
Journal: IEEE Sensors Journal
Year: 2023
Citations: 1 📚 - Sea-Horse Optimizer: A Novel Nature-Inspired Meta-Heuristic for Global Optimization Problems
Author: Zhao, S., Zhang, T., Ma, S., Wang, M.
Journal: Applied Intelligence
Year: 2023
Citations: 87 📚 - Super Parameter Optimization of ELM by Artificial Ecosystem-Based Optimization with Crowding Forward-Backward and Backtracking Tips
Author: Zhao, S.-J., Ma, S.-L., Wang, M.-C., Zhang, H.-Y.
Journal: Kongzhi yu Juece/Control and Decision
Year: 2023
Citations: 1 📚 - Improved Barnacles Mating Optimizer to Solve High-Dimensional Continuous Optimization Problems
Author: Zhao, S., Zhang, T., Ma, S., Wang, M.
Journal: CAAI Transactions on Intelligent Systems
Year: 2023
Citations: 0 📚 - Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
Author: Zhao, S., Zheng, W., Li, Z., Zhu, H., Xu, A.
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2023
Citations: 7 📚 - A Feature Selection Method via Relevant-Redundant Weight
Author: Zhao, S., Wang, M., Ma, S., Cui, Q.
Journal: Expert Systems with Applications
Year: 2022
Citations: 9 📚
