Bio
Dr. Xiao Wang is a research staff scientist in the Computational Science and Engineering Division at Oak Ridge National Laboratory (ORNL). He holds dual Bachelor's degrees in Mathematics and Computer Science, graduating with honors from Saint John's University, MN, in 2012. He completed his M.S. and Ph.D. in Electrical and Computer Engineering at Purdue University in 2016 and 2017, under the mentorship of Dr. Charles Bouman and Dr. Samuel Midkiff. Following his Ph.D., Dr. Wang pursued postdoctoral research at Harvard Medical School and Boston Children's Hospital, specializing in medical imaging, before joining ORNL in 2021.
Dr. Wang's research focuses on the intersection of artificial intelligence (AI), high-performance computing (HPC), and computational imaging. He develops cutting-edge algorithms that integrate AI, imaging physics, and HPC to solve complex imaging problems. His work spans across many imaging modalities, such as x-ray radiograph, computed tomography (CT), Magnetic Resonance (MR), electron tomography and satellite, pushing the boundaries of resolution and data processing speed to observe phenomena previously inaccessible with conventional methods. These advancements have applications in medical imaging, security screening, biological microscopy, climate imaging and synchrotron imaging.
Dr. Wang was the winner of the 2022 AAPM Truth CT Reconstruction Challenge and was a finalist for the ACM Gordon Bell Prize in both 2017 and 2024 for his contributions to CT image reconstruction and climate modeling using Vision Transformer architectures. He also won the 2024 HPCWire Top Supercomputing Achievement Award.
His research work currently focuses on energy-efficient, scalable and trustworthy vision transformer foundation models for various imaging applications.
Research Interests:
Artificial Intelligence, High-Performance Computing, Computational Imaging, Climate Imaging, Medical Imaging, Microscopy Imaging, Security Imaging
Education
2021 Postdoc Medical Imaging, Harvard Medical School & Boston Children's Hospital
2017 PhD Electrical and Computer Engineering, Purdue University
2016 MSEE Electrical and Computer Engineering, Purdue University
2012 MA Mathematics, St. John's University (MN)
2012 MA Computer Science, St. John's University (MN)
Professional Affiliations
Member, Imaging Science & Technology (IS&T)
Member, ACM
Senior Member, IEEE