Melissa Brindise
Department of Mechanical Engineering, Pennsylvania State University, University Park, PA, USA
Her research combines experimental flow physics with image and signal processing to improve analysis methods and current clinical understanding of neuro- and cardiovascular disease, injury, function, and treatment. Broadly, her work focuses on 1) advancing our understanding of the role of hemodynamics and vascular changes in the onset, progression, and efficacy of treatment of diseases and 2) developing objective, evidence-based methods to transform how we interpret patient data. Her current research interests include the application areas of cerebral aneurysms, Moyamoya disease, cognitive function, heart disease and arrhythmias, and transition to turbulence in unsteady flows.
Xiaokun Liang
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences
Xiaokun Liang received his Ph.D. degree from the University of Chinese Academy of Sciences. From 2018 to 2019, he was a visiting scholar at Stanford University in the United States. Currently, he is an associate professor. His research interests include medical artificial intelligence, CT imaging and its intelligent analysis, and image-guided radiotherapy technology. He has published over 60 research papers, with his work appearing in journals such as LANCET Digit. Health, Nat. Commun., IEEE T Med. Imaging, Med. Image Anal., and IEEE J-BHI.
Cukur Tolga
Bilkent University, Turkey
Dr. Cukur is Prof. of Electrical-Electronics Engineering, Prof. of Neuroscience, and Director of the National Magnetic Resonance Research Center (UMRAM) at Bilkent University. His research programme is targeted at developing computational imaging methods to examine the anatomy and function of biological systems in normal and disease states. To this end, his group develops cutting-edge imaging and data analysis methods for biomedical applications.