Efficient Model-based Deep Learning algorithms for solving inverse problems.
Ayoob, A. K., Vaddadi, V., Yalavarthy, P. K., & Janakiram, C. (2023). Tooth detection and numbering in panoramic radiographs using an artificial intelligence approach. Population Medicine, 5, https://doi.org/10.18332/popmed/164270.
Presented my research work in the EECS Research Students Symposium., Organized by IISc Bangalore, 4-5 Apr, (2024).
Vaddadi Venkatesh. (2024). "Novel and Efficient Model-Based and Deep Learning based Models for Medical Imaging." In Book of Abstracts, EECS 2024, Indian Institute of Science, p. 53. Retrieved from https://eecs.iisc.ac.in/EECS2024/resources/BookofAbstracts_final.pdf
One of the Instructors for the One-Day Workshop on "Python Libraries for Machine Learning" at Siemens Healthineers, Organized by IISc Bangalore, Feb, 2024.
Venkatesh Vaddadi, Raji Susan Mathew, and Phaneendra K. Yalavarthy. "SpiNet-QSM: Model-based Deep Learning with Schatten p‐norm Regularization for Improved Quantitative Susceptibility Mapping,", Poster Presentation, Medical Image Computing Workshop, Organized by IISc Bangalore, 24-25 Feb, (2023). [Best Poster Award]
Ph.D. : Numerical Linear Algebra, Numerical Optimization, Machine Learning, Medical Imaging, Data Analysis and Visualization, Research Methods.
CR Rao Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS)
Junior Research Fellow—Jul 2019 to Dec 2019
American Express
Data Scientist, Intern—Jan 2025 to Jul 2025
TANUH: Translational AI for Networked Universal Healthcare
Research Staff Member—Sep 2025 to Present
DS 261(3:1): Artificial Intelligence for Medical Image Analysis Aug-Dec, 2023 GitHub
Basics of Cryptography Jan-Apr, 2018
Compression Algorithms Aug-Dec, 2018
AI in Healthcare: Theory to Practice 1.0 Nov,2023 - Mar,2024
AI in Healthcare: Theory to Practice 2.0 Mar,2024 - Aug,2024
AI in Healthcare: Theory to Practice 3.0 Aug,2024 - Dec,2024