News
July 2021 – Received the Early Career Travel Award for the Society of Industrial and Applied Mathematics (SIAM) Conference on Optimization (OP21). Thanks to the National Science Foundation.
June 2021 – I am hiring fully-funded Ph.D. students to work at the intersection of aerospace systems design and computational science, to start anytime between Fall'21 and Fall'22. Please reach out if you're interested.
Feb 2021 – Inducted into the Multidisciplinary Design Optimization (MDO) technical committee of the AIAA! Looking forward to contributing to it.
Feb 2021 – Received the Early Career Travel Award for the Society of Industrial and Applied Mathematics (SIAM) Conference on Computational Science & Engineering (CSE21). Thanks to the National Science Foundation.
Jan 2021 – New publication in the Aerospace Science & Technology journal (Impact Factor 4.499). Read it here. In this paper, we show how machine learning can enable data-efficient aerodynamic optimization to improve aircraft fuel efficiency.
October 2020 – I am co-organizing (along with Romit Maulik and Bethany Lusch) a session on Scientific Machine Learning at the SIAM CSE21 to be held at Fort Worth, TX: https://www.siam.org/conferences/cm/conference/cse21
July 2020 – New media coverage about my research
June 2020 – Inducted into the AIAA Non-Deterministic Approaches (NDA) Technical Committee. Looking forward to contributing to it!
June 2020 – New preprint on finite-budget time-dependent Bayesian (stochastic) optimization.
April 2020 – Manuscript on applications of parametric projection-based model order reduction published in the AIAA Journal! Link
April 2020 – Manuscript on machine learning based parametric model order reduction accepted for publication in Physics of Fluids! arXiv
March 2020 – I will be co-organizing a special session on scientific machine learning at the AIAA Aviation Forum & Expo 2020. This session includes seven talks from speakers including early-career scientists, academicians and industry leaders. Please be sure to attend if you plan to participate in the conference.
Jan 2020 – Won independent Department of Energy grant for the proposal entitled "Statistics and Machine Learning to Enhance Reduced Order Models". Will serve as lead PI on the project. Stay tuned for updates.
Dec 2019 – New pre-print on science-informed machine learning based reduced order models to emulate transonic flows. arXiv
Dec 2019 – Manuscript accepted for publication in the AIAA Journal. Paper shows applications of the nonintrusive model reduction method originally developed for Ph.D. thesis. arXiv
Oct 2019 – New pre-print. Paper introduces a novel method to fuse dataset from heterogenous sources in aerodynamic analysis with applications to the Digital Twin paradigm in aerospace design. arXiv
April 2019 – Won an 'Early Career' travel grant to attend the SDSS conference organized by the American Statistical Association, to be held at Bellevue, WA
March 2019 – Won a grant and became the Co-PI (joint with Prof. Dimitri Mavris) on a project to develop deep Gaussian processes for emulation and uncertainty quantification. More specifically the project focuses on active learning and automated tuning of the model hyper-parameters. See the Research page for further details.
February 2019 – I will be presenting my work on sequential design of computer experiments at the SIAM CSE19 to be held in Spokane, WA during 2/25 - 3/1/2019. Looking forward to it!
February 2019 – Gave a talk (invited) at the GT School of Math on Adaptive Design of Computer Experiments. Slides.
November 2018 – New pre-print. Read it here
October 2018 – New technical report on our work on Multi-Disciplinary Analysis and Optimization of Over Wing Nacelle concept published. Read it here
August 2018 – Article accepted for publication in AIAA Journal. Read it here
June 2018 – Ph.D. thesis published. Read it here
March 2018 – Ph.D. thesis was successfully defended! Ph.D. was earned!!
June 2017 – I will be presenting my paper entitled “A Methodology for Projection-Based Model Reduction with Black-Box High-Fidelity Models” at the AIAA Aviation Conference to be held in Denver, CO.
February 2017 – Delivered guest lecture on Reduced Order Modeling for the Advanced Design Methods -III graduate class. (slides to be added soon)
June 2016 – I successfully defended my Ph.D. thesis proposal on 6/22/2016 !!! It was a grand success!!! Ph.D. requirement 2/3 done!
April 2016 – I worked on Bayesian Experimental Design using the Maximum-Entropy Approach. The slides can be found here. This forms a building block for one (but important) part of my PhD Thesis.
July 2015 – Successfully presented my independent research paper on “Conceptual Design of a Two Stage Runway based Space Launch System” at the AIAA Propulsion Conference held at Orlando, FL.
March 2015 – My paper submitted to the AIAA Propulsion and Energy Forum 2015 was accepted! I will be travelling to Orlando, FL in July to present. Looking forward to it!
January 2015 – The abstract of my paper entitled “Conceptual Design of a Two Stage Runway based Space Launch System” was submitted to the AIAA Propulsion and Energy Forum 2015 to be held in Orlando, FL. This is my first independently authored paper and the idea was inspired from a term project I did for the Advanced Aerodynamics class. More on this later..
October 2014 – Successfully passed my PhD Oral Qualifying Exams! And so began the search for a PhD Dissertation topic…
July 2014 – Presented my paper titled “Validation and Assesment of Lower Order Aerodynamics Based Design of Ram Air Turbines” at the Propulsion and Energy Forum held at Cleveland, OH …….. and also made the AIAA Facebook page!
March 2014 – Abstract of my paper on aerodynamic design of Ram Air Turbines was accepted for presentation at the Propulsion & Energy Forum to be held at Cleveland, OH.