Currently, I am a PhD researcher at IIT Jodhpur, focused on Causal machine learning and interpretability for time series: the kinds of problems that matter when AI is deployed in vehicles, sensors, healthcare, or any setting where "the model said so" isn't an acceptable answer.
Research interest : Causal Discovery & Causal Inference for Time Series, Mechanistic Interpretability, Counterfactual Explanations, Explainable AI, Representation Learning.
Current Affiliation : VANET Lab, Indian Institute of Technology Jodhpur as a Doctoral Researcher
(NEW) September 2026 - Invited Reviewer at AISTATS 2027 (CORE Rank - A).
(NEW) September 2026 - Selected for Qualcomm Innovation Fellowship (QIF 2026) India.
(NEW) August 2026 - Paper accepted at IEEE DSAA 2026 (CORE Rank - B).
July 2026 - Invited Reviewer at IEEE Gujarat Section Conference (GSCon) 2026.
June 2026 - Invited Reviewer at IJCNN 2027 (CORE Rank - B).
April 2026 - Paper accepted & published at Transactions on ML Research (TMLR, 2026).
January 2026 - Selected as a PhD Research Intern (AI) at IBM Research, Bengaluru, India. [Offer declined due to Institute Leave Policy]
January 2026 - Invited Reviewer at WCCI-IJCNN 2026 (CORE Rank - B).
November 2025 - Paper accepted at IEEE BigData 2025 (CORE Rank - B). [Paper Withdrawn]
September 2025 - Invited Reviewer at Elsevier Applied Soft Computing Journal (SCIE, Q1). [Currently Reviewing]
March 2025 - Invited Session Chair at IEEE InCACCT 2025, Chandigarh University, India.
January 2025 - Invited Reviewer at IJCNN 2025 (CORE Rank - B).
August 2024 - Paper accepted at ICPR 2024 (CORE Rank - B).
March 2024 - Delivered hands-on sessions on ML-DL to 3rd year BTech CSE (AI-ML) students of MIT-WPU, Pune, India.