I am an Assistant Professor in the School of Industrial and Systems Engineering at Oklahoma State University starting Fall 2022.

Prior to this I was a NASA HOME Postdoctoral Fellow at Georgia Tech’s School of Industrial and Systems Engineering. I worked on using a Vertical Federated Learning aspects to make future habitats on Mars smarter and more resilient to failures!

I got my PhD. in Computational Science and Engineering at the School of Industrial and Systems Engineering at Georgia Tech. I was co-advised by Prof. Nagi Gebraeel from Industrial Engineering and Prof. Edmond Chow from Computational Science. At Georgia Tech my research comprised of asynchronous solutions to large-scale decentralized optimization problems with applications to power systems, machine learning and linear solvers. I also explored the use of blockchain as a decentralization tool. Turns out, it has some interesting features that can be leveraged to reduce costs and improve privacy as compared to cloud based alternatives for IIoT analytics! More details can be found here and here!

Updates

• 04/22 I accepted a Tenure Track, Assistant Professor position at the School of Industrial Engineering and Management at Oklahoma State University!
• 10/21 I gave a talk at INFORMS 2021 in Anaheim, CA on Vertical Federated Learning.
• 08/21 My paper on Blockchain based Replay Attack detection got accepted in IEEE Transactions on Systems, Man and Cybernetics : Systems!
• 05/21 My paper on Decentralized Maintenance and Operations for Large Scale Power Systems got accepted in IEEE Transactions on Power Systems.
• 11/20 I delivered talks at IISE, INFORMS and at IEEE Blockchain 2020 in a span of a week. Phew! Busy month.
• 10/20 Starting as a NASA HOME PostDoc @ Georgia Tech. Working on using Federated Learning for Smart Habitats on Mars!
• 10/20 I graduated! Finally a Dr.!
• 09/20 We won the 2020 Institute of Information Security and Privacy (IISP) Demo Day Commercialization Track for our research on leveraging the blockchain based decentralization to reduce costs and improve privacy as compared to cloud based alternatives for IIoT analytics! You can read more about it here, here and watch the entire event here.
• 09/20 My paper on decentralized, blockchain based federated learning got accepted at IEEE Blockchain 2020!
• 10/19 I’m going to be speaking at INFORMS 2019 at Seattle, WA on Large Scale Decentralized Maintenance and Operations. See you all there.
• 05/19 I’ll be spending the summer in the Bay Area interning at NEC Labs of America under Dr. Kiyoshi Nakayama. We are working on decentralized blockchain algorithms for large scale Federated Learning. Super excited!
• 05/19 I gave a talk on Conflict Reduction and Deterrence in the Power Grid of the Future: A Cyber Security Perspective at the United States Special Operations Command Centre in Tampa, FL as a Sam Nunn Fellow.
• 04/19 I finally defended my Ph.D proposal. Officially a PhD candidate!
• 05/18 I was awarded the Sam Nunn Fellowship for the academic year 2018-2019. My department also did a feature article on my fellowship.

My prior life!

Prior to joining Georgia Tech, I got my Masters degree with a thesis in Computer Science from Georgia State University in Spring 2015. At Georgia State, I worked with Prof. Wenzhan Song on developing INDIGO, a distributed gossip framework for seismic tomography. We also did some interesting stuff applying concepts of seismic ray tracing to wireless mesh network for anomaly detection.

We also deployed our sensors on the Llaima volcano in southern Chile. The Geo Sciences department at the University of North Carolina at Chapel Hill covered our field deployment. You can read it here.

My prior prior life!

Before I started at Georgia State, I went to BITS-Pilani, Goa where I did my Bachelors in Information Systems. As an undergrad, I did some research in wireless sensor networks (WSNs) under Dr. Sreejith V.