Department of Computer Science, Nantong University, China
Dr. Lili Zhao, born in Xinxiang, China, is a distinguished researcher specializing in Artificial Intelligence, Computer Vision, and Biomedical Image Processing. Currently serving in the Department of Computer Science at Nantong University, she has built a career dedicated to innovative research and teaching. She earned her Doctor of Engineering from the National University of Defense Technology and completed her postdoctoral research at Shanghai Jiao Tong University. With an international research stint at the University of Leicester, UK, Dr. Zhao has strengthened global academic ties. Her work has led to impactful publications in SCI-indexed journals and international conferences. Known for her contributions to medical imaging—particularly in fetal ultrasound and cervical cancer diagnostics—she integrates deep learning and algorithmic optimization in her projects. Beyond research, she passionately teaches courses in machine learning, C++, and digital image processing, fostering the next generation of computer scientists.
🎓 Education
Dr. Lili Zhao’s academic journey reflects a strong foundation in Computer Science and Artificial Intelligence. She earned her Bachelor of Engineering (2007) from Xinyang Normal University, followed by a Master of Engineering (2011) from Henan Normal University, majoring in Computer Application Technology. Her thirst for advanced research led her to pursue a Doctor of Engineering (2017) in Computer Science at the National University of Defense Technology, one of China’s top institutions. From 2018 to 2024, she conducted postdoctoral research in Artificial Intelligence at Shanghai Jiao Tong University, focusing on medical image processing. She also spent 2022–2023 as an academic visitor at the University of Leicester, UK, further enriching her international perspective in AI research. Her consistent academic excellence and cross-disciplinary training uniquely position her to address challenges at the intersection of computing and biomedical engineering.
💼 Experience
Dr. Zhao currently serves in the Department of Computer Science at Nantong University, where she is involved in both teaching and research within the School of Artificial Intelligence and Computer Science. Over the years, she has held various academic positions, with hands-on experience in research laboratories focused on biomedical image processing, deep learning, and AI-powered healthcare diagnostics. During her postdoctoral work at Shanghai Jiao Tong University, she developed advanced frameworks for fetal ultrasound image assessment and cervical cancer detection. She also collaborated internationally during her academic visit to the University of Leicester, contributing to joint projects in algorithmic optimization and uncertainty quantification. Her teaching record includes courses such as Machine Learning, C++ Programming, and Digital Image Processing, emphasizing her balanced engagement in both scientific innovation and student mentorship.
🔬 Research Focus
Dr. Lili Zhao’s research is centered on the development of AI-driven solutions for biomedical image analysis, particularly in fetal imaging and cervical cell diagnostics. Her work combines image processing, computer vision, and algorithm optimization to enable early and accurate diagnosis of medical conditions. She employs deep learning techniques to address challenges such as image quality assessment, segmentation, and classification under uncertainty or label shift. Her projects integrate multi-phase detection, extreme learning machines, and MRF-based segmentation for cytological images, contributing significantly to early cancer detection and maternal health monitoring. These solutions have the potential to be integrated into smart diagnostic systems and telemedicine platforms. Dr. Zhao’s research not only improves diagnostic efficiency but also ensures cost-effective healthcare delivery, particularly in under-resourced settings.
📄 Publication Top Notes