Prof. Shandong Wu
University of Pittsburgh
Shandong Wu, PhD, is a Professor in Radiology, Biomedical Informatics, Bioengineering, and Intelligent Systems at the University of Pittsburgh, and is an Adjunct Professor at the Carnegie Mellon University. Dr. Wu leads the Intelligent Computing for Clinical Imaging (ICCI) lab. He is the founding director of the Pittsburgh Center for AI Innovation in Medical Imaging, a cross-campus initiative including more than 130 researcher and clinician members working on medical imaging AI. Dr. Wu’s background is in Computer Science (Computer Vision) with additional clinical training in radiology research. Dr. Wu’s main research areas include computational biomedical imaging analysis, big (health) data coupled with machine/deep learning, and AI in clinical studies and informatics, primarily on cancer imaging. Dr. Wu’s work focuses on developing trustworthy medical imaging AI for clinical/translational applications. Dr. Wu's lab received the prestigious RSNA Trainee Research Award twice in 2017 and 2019, and the 2021 AANS Natus Resident/Fellow Award for Traumatic Brain Injury, SPIE Imaging Informatics Best Paper Award, among other research and educational awards. Dr. Wu has published > 190 journal papers and conference papers/abstracts in both the computing and clinical fields. His research has been featured in hundreds of scientific news reports and media outlets in the world.
Speech Title: "Intelligent Computing of Medical Imaging to Transform Healthcare"
Prof. Jie Yang
Shanghai Jiao Tong University
Jie Yang received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University (SJTU), where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. Now he is the Professor and Director of Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence. He has published six books, more than five hundreds of articles in national or international academic journals and conferences. Google citation over 17000, H-index 65. Up to now, he has supervised 5 postdoctoral, 46 doctors and 70 masters, awarded six research achievement prizes from ministry of Education, China and Shanghai municipality. Two Ph.D. dissertation he supervised was evaluated as “National Best Ph.D. Dissertation” in 2009 and in 2017. Two Ph.D. dissertations he supervised were evaluated as “Shanghai Best Ph.D. Dissertation” in 2009 and 2010. He has owned 48 patents.
Speech Title: "Researches on the Defenses and Out-of-Distribution Detection in Trustworthy Deep Learning"