faculty

Dr. Venkateswarlu Gonuguntla is a research faculty – Assistant Professor at Symbiosis Centre for Medical Image Analysis (SCMIA) in Symbiosis International University (SIU), Lavele, Pune, India. Prior to joining SCMIA, he held post-doctoral and senior researcher positions at Samsung Medical Center, Seoul, South Korea, where he was also affiliated with Sungkyunkwan University Medical Science Research Institute.

He graduated from SASTRA University in India with a B.Tech in electronics and communication engineering. He received both his Master of Science in electrical and computer science engineering and his Ph.D. in electronics engineering from Kyungpook National University in South Korea. He also worked as a post-doctoral researcher and scholar at Kyungpook National University for more than a year.

He is now researching a. medical imaging analysis and signal processing utilizing graph neural networks; and b. EEG based Brain Mapping and EEG Network Biomarker Technologies. His current research focuses on application of deep learning to the processing and analysis of medical images, bio-signal processing and analysis, brain networks, graph theory, and neural decoding.

Contact Information

Symbiosis Centre for Medical Image Analysis, 6th Floor, Symbiosis Institute of Technology, Lavale, Pune – 412115

Phone : (M) +91 9032090784 (O) +91 20 66936972

Email: venkateswarlu.gonuguntla@scmia.edu.in

Current projects: https://scmia.edu.in/project

Dr. Sourav is a research faculty – Assistant Professor at Symbiosis Centre for Medical Image Analysis (SCMIA) in Symbiosis International University (SIU), Lavale, Pune, India. Prior to joining SCMIA, he held post-doctoral positions at Ghent University, Belgium, and University of Liverpool, UK, working on quantitative MR imaging methods for assessing brain tumours (both clinical and preclinical). He has also worked as a Senior R&D Engineer at the National Brain Research Centre, India.

He graduated from West Bengal University of Technology in India with a B.Tech in applied Electronics and Instrumentation engineering. He received the M.Sc. degree in information technology with specialization in communication engineering and media technology from the University of Stuttgart, Germany. He completed Ph.D. degree in health sciences from Ghent University, Belgium focused on developing novel high speed and high resolution Magnetic Resonance Spectroscopic Imaging pulse sequence and reconstruction methods to overcome time limitations of chemical shift imaging.

His research interests include MRI/MRSI, biomedical signal processing, medical physics, applied math, machine learning and applying his methods in brain tumours and different neurological disorders.

Contact Information

Symbiosis Centre for Medical Image Analysis, 6th Floor, Symbiosis Institute of Technology, Lavale, Pune – 412115

Phone : (M) +91 8902499888| (O) 020 66936973

Email: sourav.bhaduri@scmia.edu.in

Current projects: https://scmia.edu.in/project