My primary research interest is machine learning.
I build machine learning, computer vision, and general statistical learning algorithms (and the corresponding computational systems) with applications in brain sciences, human in the loop systems, and more generally perception and cognition driven applications of artificial intelligence.
The crux of my research entails developing novel algorithmic techniques and methodologies by bridging domain-specific knowledge into the framework of machine learning and computer vision models. I do not work in theoretical aspects of machine learning.
Full Spectrum of the applications domains that I am interested in:
Audio-Visual Learning & Perception for Augmented/Virtual Reality
Egocentric (First Person) Human in the Loop systems
Interpretable and Personalizable Learning systems
Brain imaging and Clinical Trials design
Multi-modal Predictive Modeling of Alzheimer's disease
Here is a copy of my CV (updated as of October 2020).