Dr. Ning Zhang | Real-Time Processing | Research Excellence Award

Ning Zhang is a researcher specializing in lightweight deep learning, FPGA-based acceleration, and onboard artificial intelligence for remote sensing, UAVs, and small satellite platforms. His research emphasizes energy-efficient neural network architectures, model compression, quantization, and hardware–algorithm co-design for edge intelligence under strict power and reliability constraints. He has authored multiple high-impact journal and conference papers in IEEE Transactions and related venues, alongside several authorized and accepted invention patents in AI hardware acceleration and remote sensing analytics. According to Google Scholar and Scopus-tracked outputs, his work has accumulated over 330 citations, with an h-index of 9 and a growing portfolio of peer-reviewed publications, reflecting strong academic impact and research leadership.