男，山东曲阜人，讲师，毕业于辽宁科技大学控制科学与工程专业，获工学博士。主要研究方向为状态估计、PID 控制。
科研方面，先后在《Neurocomputing》《Neural Networks》等国内外期刊发表学术论文 3 篇。
代表性成果：
[1] Guoqiang Kong, Liangdong Guo. Stability analysis of delayed neural networks based on improved quadratic function condition [J]. Neurocomputing, 2023, 524: 158‑166.
[2] Guoqiang Kong, Liangdong Guo. Stability and passivity analysis of delayed neural networks via an improved matrix‑valued polynomial inequality [J]. Neural Networks, 2024, 180: 106637.
[3] Guoqiang Kong, Liangdong Guo. Extended dissipativity analysis for delayed markovian jump neural networks via delay‑function‑based Lyapunov functional [J]. Neural Networks, 2026, 196: 108321.
