Stanford University
Showing 101-120 of 121 Results
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Susanna Gunamany
Postdoctoral Scholar, Urology
BioDr. Gunamany received her PhD in Public Health from the Indian Institute of Technology (IIT) Gandhinagar. Before her doctoral studies, she earned a Master of Public Health (MPH) degree from the Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), India, and a Bachelor of Science from the University of Kerala.
Dr. Gunamany's scholarly pursuits revolve around the convergence of health and technology, with a specific emphasis on mobile health (mHealth) and its potential for improving healthcare delivery and access. Broadening her research scope, she is interested in health disparities and inequalities research, focusing on marginalized populations and the intricate interplay of social, economic, and environmental factors influencing health outcomes. -
Tianyang Guo (郭天阳)
Postdoctoral Scholar, Geological Sciences
BioDr. Tianyang Guo earned his Ph.D. degree in Rock Mechanics from the Department of Earth Sciences, the University of Hong Kong in 2020. He earned his bachelor's and master’s degree from Wuhan University (WHU) in 2013 and 2016, respectively. He was awarded the National Scholarship for Graduate in 2015 and graduated from WHU as an outstanding graduate. Before joining Stanford, he was a Postdoctoral Fellow in the Department of Civil and Environmental Engineering at the Hong Kong Polytechnic University (PolyU) under PolyU Distinguished Postdoctoral Fellowship Scheme 2021.
His research interests include (1) Cracking mechanisms and induced microseismicity during the injection of CO2 into reservoir rocks. (2) Application of machine learning in acoustic emission (AE) data interpretation. (3) Microcracking mechanisms of granite based on AE and microscopic observation. -
Praveen Gurunath Bharathi
Postdoctoral Scholar, Radiology
BioPraveen joined the Nuclear Medicine and Molecular Imaging, Department of Radiology as a Postdoctoral Research Fellow where he will be working on predictive and real-time PET image quality monitoring using Machine learning. Previously, he worked as a Postdoctoral Research Associate at the University of Manchester, UK where he developed an inexpensive imaging & automated analysis system to support early diagnosis of Systemic Sclerosis. He received his Ph.D. in Electrical & Electronics Engineering from the Birla Institute of Technology and Science (BITS), Pilani. His Ph.D. research was focused on developing an automated intelligent decision support system for multiple brain disorder diagnosis from MRI scans. His research is mainly in the interdisciplinary field of deep learning and medical image analysis. In particular the application of deep learning models to improve disease prognosis. He completed his Master's in Biomedical Signal Processing & Instrumentation from RV College of Engineering, India. During his master's he worked as a project intern in the Department of Aerospace Engineering at the Indian Institute of Science (IISc, Bangalore) where he worked on the application of 3D digital image correlation to perform strain analysis on the human body during various physical activities.