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Srinivas Kudavelly
Tech Evangelist | Healthcare & Life Sciences | AI | Products & Solutions | End-2-End
About
Srinivas Kudavelly is an experienced R&D professional with a career spanning over 25 years. He is an innovator and thought leader in the fields of artificial intelligence, ultrasound imaging, and healthcare. Srinivas has filed a total of 22 patents, with 8 of them already granted. His expertise lies in people management, collaboration, product development, system architecture, creativity, innovation, HW/SW partitioning, system prototyping, biomedical instrumentation, medical image analysis, artificial intelligence in medical imaging, deep learning, machine learning, DVD(+R(W)) standards, effort estimations, use-case discussion, and requirement engineering. Currently, Srinivas is a Senior Principal Engineer - Part Head (Medical Imaging) at Samsung. He has filed 6 patents in this role, including the Method & Apparatus for Probe Invariant Reconstruction of Images from the Time Series Ultrasound Images, System & Method for User-Assisted 4D Quantification of Aortic Valve, Apparatus & Method for Assessing Uterine Parameters, Method & Apparatus for Follicular Quantification in 3D Ultrasound Images, System & Method for Generalized Interactive 4D Anatomical Modeling for Quantification, and Feature Extraction in Medical Images. Previously, Srinivas worked as a Principal Engineer - Part Head (Ultrasound Systems) at Samsung, where he led the medical imaging R&D team in Bangalore. He has filed 2 patents in this role, including the Method & Apparatus for Follicular Quantification in 3D Ultrasound Images and the System & Method for Generalized Interactive Four Dimensional Anatomical Modeling for Quantification. Srinivas has also worked as a Senior Architect at Philips Healthcare (Ultrasound Domain), where he filed a patent titled Method for predicting the needle guidance path for Biopsy. Srinivas has a degree in the Thought Leadership Programme from the Indian Institute of Management Bangalore and a Management Development Program from XLRI Jamshedpur. His tech stack includes deep learning, mobile, ML, and senior software engineering. Srinivas is a prolific author and has published numerous papers and articles on medical imaging, ultrasound, and artificial intelligence.
Education Overview
Companies Overview
• samsung
• philips healthcare ultrasound domain
• philips
• tata
Experience Overview
22.8 Years
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