Sudarshan Srinivasan, PhD
About Sudarshan Srinivasan, PhD
Sudarshan Srinivasan, PhD, is a Postdoctoral Research Associate at Oak Ridge National Laboratory, specializing in machine learning applications for healthcare predictive analytics. He has an extensive academic background with degrees in Electrical Engineering and Computer Science from Anna University and the University of Tennessee.
Current Position at Oak Ridge National Laboratory
Sudarshan Srinivasan serves as a Postdoctoral Research Associate at Oak Ridge National Laboratory. He has been in this role since 2020, contributing to research that focuses on the application of machine learning to enhance predictive analytics in healthcare. His work involves developing predictive models that integrate structured Electronic Health Record (EHR) data with unstructured clinical notes, utilizing advanced machine learning techniques.
Previous Experience in Research and Internships
Prior to his current position, Sudarshan Srinivasan held various roles that enriched his research experience. He worked as a Graduate Research Assistant at the University of Tennessee from 2012 to 2014 and again from 2016 to 2019, contributing to projects at the National Institute for Computational Sciences at Oak Ridge National Lab. Additionally, he interned at Autodesk as a Roboticist in 2015 and at Honeywell as an Electrical Engineering Intern in 2003, gaining practical insights into engineering applications.
Educational Background in Engineering
Sudarshan Srinivasan has a solid educational foundation in engineering. He earned his Bachelor of Engineering in Electronics & Communications from Anna University, studying from 2002 to 2006. He then pursued a Master of Science in Electrical Engineering and Computer Science at the University of Tennessee-Knoxville from 2008 to 2011. He completed his Ph.D. in Robotics and Machine Learning at the University of Tennessee from 2011 to 2019, focusing on advanced topics in his field.
Contributions to Machine Learning and Healthcare
In his research, Sudarshan Srinivasan has made significant contributions to the intersection of machine learning and healthcare data. He has developed predictive models that leverage both structured EHR data and unstructured clinical notes. His work aims to enhance predictive analytics, which can improve decision-making processes in healthcare settings.
Teaching Experience at University of Tennessee
Sudarshan Srinivasan also has experience in academia as a Graduate Teaching Assistant at the University of Tennessee from 2011 to 2012. In this role, he supported educational initiatives, contributing to the learning experience of students in engineering disciplines.