Bhavan Vasu Machine Learning Researcher [ CV ] I am a third-year Ph.D. candidate at Oregon State University ( EECS ) advised by Prof. Prasad Tadepalli , working on Interpretable Machine Learning for complex scenes.

2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP … 2018 IEEE 13th Image, Video, and Multidimensional Signal Processing Workshop … Proceedings of the IEEE/CVF Winter...

Bhavan Vasu currently is a PhD student at OSU.

Bhavan Vasu received the B.S. degree in electronics and communications engineering from Visvesvaraya Technological University, India, in 2015, and the M.S. degree in computer engineering from the Rochester Institute of Technology, in 2018.

Vasu, Bhavan, and Andreas Savakis. “Resilience and Plasticity of Deep Network Interpretations for Aerial Imagery.” IEEE Access (2020). B. Vasu and C. Long, “Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.

1,051 Followers, 1,279 Following, 4 Posts - Bhuvan Vasu (@bhuvan__07) on Instagram: "Kumarans’23 RVCE’27 🏏🏎"

My experience with computer vision and machine learning algorithms assist me in picking up patterns and examining methods for predictability while building upon existing ideas with important creative improvements. I relish getting my hands dirty with new areas of research.

Bhavan Vasu is a Ph.D. candidate at Oregon State University working on making machine learning models interpretable. Bhavan has worked on ML interpretability for organizations such as NASA/CalTech Jet Propulsion Laboratory, Kitware, Defense Advanced Research Projects Agency (DARPA), and Air Force Research Laboratory(AFRL).