Dr. Fei Ming | Evolutionary Computation | Research Excellence Award

Dr. Fei Ming is a postdoctoral researcher specializing in evolutionary computation and learning-assisted multi-objective optimization, with strong applications in machine learning, neural architecture search, feature engineering, and spiking neural networks. His research advances the integration of machine learning and deep learning into evolutionary multi-objective algorithms, significantly improving search efficiency, robustness, and real-world applicability. He has authored 40 SCI/Scopus-indexed journal and conference papers, including publications in leading IEEE venues, with two ESI Highly Cited Papers. According to Google Scholar and Scopus metrics, his work has achieved over 1,400 citations with an h-index of 20, reflecting substantial international research impact and sustained scholarly excellence.