I am an Assistant Professor in the Department of Electrical Engineering at the Indian Institute of Technology Delhi (IIT Delhi) , I am also associated with Bharti School of Telecommunication Technology and Management. I am a recipient of the DST Inspire Faculty Fellowship Award, 2019. I was a postdoctoral fellow at the Hong Kong University of Science and Technology, hosted by Prof. Daniel P. Palomar. I received the Ph.D. and M.Tech degrees from the Department of Electrical Engineering at Indian Institute of Technology (IIT), Kanpur, under the guidance of Prof. Ketan Rajawat and Prof. Govind Sharma, respectively.

Research: The overarching theme of my research interest lies at the coherent interaction between optimization, signal processing, machine learning, and graphical models, with applications in networks and data ubiquity. Specific problems of interest include

• Graphical models and graph based algorithms for machine learning

• Federated learning and optimization over heterogeneous networks

• Large scale optimization for Big Data

• Stochastic approximation and sampling based algorithms

• Network monitoring and design of distributed algorithms

• Transceiver optimization, precoder design, beamforming, interference alignment

Note: I am actively looking for students at all levels to work with me, please write to me if your research interests align with the aforementioned areas. Also find a mutually convenient time to chat and explore ideas that you may want to bring to the fore.

Updates:

• (Feb 21) Journal Paper "Majorization-Minimization on the Stiefel Manifold with Application to Robust Sparse PCA" accepted for publication in IEEE Transactions on Signal Processing.

• (Jan 21) Conference paper "Parameter estimation for Students t VAR Model with Missing Data", accepted in ICASSP 2021.

• (Dec 20) Invited talk in the IEEE SPS Seminar Series on Optimization and Learning organized by IEEE Signal Processing Society IIT Kanpur. The title of the talk is: Framework for Structured Graph Learning via Spectral Approaches [Slides] [Video].

• (Dec 20) Received Alumni Achiever Award on 3r December 2020, by My alma mater College of Engineering Roorkee.

• (Oct 20) Journal paper- Student's t VAR Modeling with Missing Data via Stochastic EM and Gibbs Sampling, accepted for publication in IEEE Transactions on Signal Processing.

• (Oct 20) Gave an invited talk on "Graph Based Methods for Data Science" as a session speaker in STTP faculty development program on Machine Learning sponsored by AICTE.

• (Aug 20) I have joined IIT Delhi as an Assistant Professor in the Department of Electrical Engineering.

• (April 20) Received DST-INSPIRE Faculty Fellowship award.

• (Jan 20) Journal paper- A Unified Framework for Structured Graph Learning via Spectral Constraints, accepted for publication in Journal on Machine Learning Research (JMLR).