Lingxiang Yin is currently an Associate Professor at the College of Integrated Circuits, Nanjing University of Aeronautics and Astronautics. He received his Ph.D. in Computer Engineering from the University of Central Florida in 2024. His research focuses on AI chip design and hardware acceleration, including heterogeneous multi-core architecture design, Network-on-Chip (NoC) performance optimization, chiplet technologies, as well as graph neural networks (GNNs) and deep neural networks (DNNs). He has published eight research papers in related fields, including six as the first or co-first author in top-tier international conferences such as MICRO, DAC, and ICCAD. He also serves as a reviewer for several international journals and conferences, including IEEE Transactions on Computers (TC), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), and IEEE International Symposium on Workload Characterization (IISWC).