Naveen Paluru

Hello, I am Naveen Paluru. I am working as a Senior AI Scientist, Science & Technology Organization, GE HealthCare, Bangalore, India.

Earlier, I completed Ph.D. under Prof. Phaneendra K. Yalavarthy in the field of "Medical Image Analysis", at Department of Computational and Data Sciences (CDS), Indian Institute of Science (IISc) Bangalore.

Before Joining IISc, I completed M.S. (Research) under Prof. S. S. Rama Krishna Gorthi in the field of "Computer Vision", at Department of Electrical Engineering, Indian Institute of Technology Tirupati (IIT T).

Ph.D. (Aug 2019 - June 2023 )

IISc Bangalore [CGPA 9.1/10]

M.S. (R) (Aug2017 - July2019)

IIT Tirupati [CGPA 8.0/10]

B.E. (June 2012-May 2016), ECE

RIT, AU, Vizag, AP [CGPA 9.1/10]

Research Interests

Signal Processing, Machine Learning, Deep Learning, Generalization in Deep Learning, Model Adaptation, Implicit Neural Representations, Medical Image Analysis, Medical Image Reconstruction, Inverse Problems, Explainability for AI, Generative Models and Foundational Models.

Honors/Awards

Distinguished Reviewer Award (Bronze Level, 2025) presented by the IEEE Transactions on Medical Imaging. [certificate]

Sir Vithal N Chandavarkar Memorial Medal for best Ph.D. Thesis (2024) at Department of Computational and Data Sciences, IISc, Bangalore, Karnataka, India. [URL]

Distinguished Reviewer Award (Bronze Level, 2024) presented by the IEEE Transactions on Medical Imaging. [certificate]

Distinguished Reviewer Award (Silver Level, 2023) presented by the IEEE Transactions on Medical Imaging. [certificate]

My Ph.D. Thesis Work Titled "Development of Novel Deep Learning Models with Improved Generalizability for Medical Image Analysis" has been "Recommended with Commendation" during the Prime Ministers Research Fellowship (PMRF) Annual Review, May 2023.

Recipient of Prime Ministers Research Fellowship (PMRF, August 2020 - July 2023) for the Ph.D. work at Department of Computational Data Science, Indian Institute of Science, Bangalore. This is the most prestigious grant awarded by Government of India to Ph.D. students. [certificate]

Professional Activities

Reviewer:

Journals: IEEE - TMI, TNNLS, TIM and JBHI, Pattern Recognition, Medical Physics, Biomedical Signal Processing and Control, Computerized Medical Imaging & Graphics, Neural Networks, Nature Scientific Reports, and Expert Systems with Applications.

Conferences: ICIP (2024,2025,2026), ISBI (2025, 2026), MIDL (2025, 2026), and MICCAI (2026).

Invited Talks:

Session on "Robust Retinal Disease Diagnosis Using Optical Coherence Tomography Images" at MNIT Jaipur (Faculty Development Program), May 12, 2025. Host Faculty: Dr. Deepak R. Nayak.

Session on "Deep Learning & Android : Applications in Medical Image Analysis" at IISER Thiruvananthapuram (part of regular course), April 15, 2024. Host Faculty: Dr. Raji Susan Mathew.

Relevant Courses

M.S. : Linear Algebra, Digital Signal Processing, Pattern Recognition & Machine Learning, Image and Video Processing, Research Methods, and Deep Learning for Computer Vision.

Ph.D. : Numerical Methods, Numerical Linear Algebra, Numerical Optimization, Machine Learning for Signal Processing, Medical Imaging, AI for Medical Image Analysis (Audit), Research Methods.

NPTEL : Deep Learning Part I (Indian Institute of Technology Madras, 2018), Deep Learning Part II (Indian Institute of Technology Madras, 2019), Advance Probability Theory (Indian Institute of Technology Delhi, 2022).

Updated on February 15, 2026.