I am working as an Assistant Professor (Mathematics) at Indian Institute of Information Technology Dharwad  since August, 2016. 

My current research interests lie in the interface of optimization, statistical learning, and control with understanding and development of efficient optimization algorithms for machine intelligence, system dynamics and control. This often requires conceptual, innovations, and technical (for scientific inference and transforming a large amount of data-sets into useful information with better decisions in the face of uncertainty) breakthroughs along three different dimensions:

1. Statistical learning: Scalable algorithms that leverage a statistical model to improve its decision making and generalization based on a robust learning principle. Further it finds applications in discriminative and generative learning, and high dimensional estimation.

2. Optimization: Convex and non-convex optimization, stochastic optimization, transforming geometrical or physical intuition of a minimization problem into optimization algorithm. 

3. Dynamical system and control: Learning dynamical systems from observed data using embedded linear model, generalized linear model and physics informed predictive model, optimization-based Lyapunov stability.