I truly love giving talks and sharing what I’ve learned with my audience. I have given talks and presented my work at MIT, NSF, U.Chicago, Open AI, NVIDIA, Berkeley Lab and other U.S. DoE labs , IIT Bombay among others. I have also been featured on broadcast media and podcasts. Please use the link below to get in touch with me.
Latest updates (most recent first)
April 2024: Panelist at SF Climate Week's 2024 event on "ML applications for climate", hosted by Pear VC on April 25th. [ RSVP link]
April 2024: US patent granted on "Transferable hybrid prognostics based on fundamental degradation modes. [link]
March 2024: Excarta releases its solar eclipse tracker! The Washington Post covered this news. [link]
January 2024: Presenting two talks at AMS Annual Meeting 2024, in Baltimore, MD [link]
Session 1A - Pure AI and Data-Driven Weather Forecasts I: Innovative Model Architectures and Applications on 01.29
Session J16C.2 - Lessons Learned From Building And Operationalizing ML Weather Prediction Models on 02.01
December 16, 2023: Featured in panel on "Practical use-inspired climate technology" at NeurIPS 2023 in New Orleans, LA [livestream link]
Presenting two papers at NeurIPS 2023 in New Orleans, LA
December 12, 2023: Talk presented at AGU 2023 by collaborators on Projected Climate Response to External Forcings using Machine Learning [link]
December 8, 2023: Invited talk on "AI-accelerated weather forecasting" at Cleveland State University [pdf, slides]
November 20, 2023: Part of a panel discussing career opportunities in Data Science and AI, at Northeastern University
November 2023: Paper published in Geophysical Research Letters on Effect of Regional Marine Cloud Brightening Interventions on Climate Tipping Points [paper]
November 1, 2023: Talk presented at IMECE 2023 in New Orleans, LA on "Improving CFD simulations by local machine learned corrections" [paper]
October 27, 2023: Talk on presented by collaborators at IEEE Viz conference, 2023 in Australia [website, paper]
October 23-26, 2023: Co-organized an AI-Climate workshop alongside AAAI 2023 including a panel on "Financing AI for Climate" [ink]
October 8 , 2023: Excarta got featured in a segment on Advancements with Ted Danson Bloomberg TV [recording link]
October 2-3, 2023: Participated and presented an invited talk at a NSF-Meta workshop on AI to Accelerate Science and Engineering Discovery [link, slides]
A full workshop report will be released to the public, by the end of the year
October 2023: Paper published on Climate Interventional Analysis using AI models, in the Proceedings of CIKM 2023 conference [paper]
October 2023: Excarta got featured in a Washington Post article on tracking hurricane Lee with AI. [WaPo article]
September 2023: Invited talk at Oklahoma State University on Scientific Machine Learning and its Industrial Applications.
September 2023: Excarta finishes raising its seed-round of funding! More details to follow.
August 2, 2023: Invited talk at IIT Bombay, India on Applications of AI in weather/climate modeling
June 2023: Paper on verification of AI-weather models to in-situ observations published. Open-sourced a dataset of high-quality ground observation of key weather variables for free public use [paper, data]
March 2023: Paper on AI-enabled climate projections accepted to AAAI Spring Symposium as a contributed talk.
January 2023: Excarta releases its MVP! More on our website.
December 2022: Led a NeurIPS 2022 workshop on Tackling Climate Change with Machine Learning. Co-organizers include Turing Laureate Prof. Yoshua Bengio
December 2022: Paper on Spherical Transformers based climate emulator accepted at NeurIPS 2022 workshop (ML4PS) [paper]
December 2022: Accepted talk(s)
One at American Physical Society (APS) DFD 2022 conference and
8 abstracts including 4 talks accepted at American Geophysical Union (AGU) conference.
December 2022: Invited talk with the AI2 Climate Modeling team (formerly Vulcan)
December 2022: Patent on "Prediction of RuL of an asset using conformal mathematical filtering" filed with USPTO. Co-inventor: Dr. Kai Goebbel
November 8, 2022: Presented a talk on "LLMs and Climate Change", at Open AI
November 1, 2022: Presented a talk on "Modeling our future", at IMSI-University of Chicago and NSF workshop on Machine Learning for Climate and Weather Applications [link]
October 2022: Paper published in Physics of Fluids, "Validation and parameterization of a novel-physics constrained neural dynamics model applied to turbulent fluid flow"
October 2022: Co-organized workshop on AI and climate change at AAAI Fall Symposium 2022 [link]
October 7, 2022: Presented a talk at MIT Media Labs on "Use of AI in climate forecasting"
September 2022: Invited talk at Sust Global on AI and climate forecasting, San Francisco
August 30, 2022: Presented a talk at the Monterey Data Conference: Transforming Science with AI workshop organized by LLNB on 'AI and climate modeling" [link]
April 2022: Presented a talk at NVIDIA on "AI accelerated fluid modeling"
April 2022: Paper published in International Journal of Multiphase Flow, "The Eulerian Lagrangian Mixing-Oriented (ELMO) Model"
January 2022: Interview with the Data Stand Up podcast
Talk at AISC on AI/ML for Climate Science
Building Better Engines with AI, a blog by MathWorks
Talk at NVIDIA GTC. [link]
Medium Blog on AI for Aerodynamics