Journey into Discovery: My Research Portfolio

My research interests cover varied areas of computer science, statistics and mathematics.

My current works are focused on:

• Automated Stock Market Trading Systems.
• Causal AI in Optimization Problems.
• Causally Aware Models in CNNs in Medical Studies.

You can take look at Publications and Miscellaneous Works and Studies for my research works and studies.

Google Scholar   ORCID   ResearchGate

Research Interests

Statistical Machine Learning, Causality, Algorithmic Trading, Graph Theory, AI

Master's Thesis

Exploring Causality and Explainability in Time Series Models supervised by Prof. K. V. Subrahmanyam
[Repository] [Report] [Presentation]

Main focus of the thesis is listed below:

• Looking into the Causal Aspect of Time Series Models
• Implementing algorithms like PC, Greedy Search using BIC with slight modification according to our dataset to get a hold of Causal Network
• Event Identification and Causal Analysis on Medical Time Series datasets of ECG
• Causal Aware CNN Model Implementation on ECG dataset for improving the classification of Occluded MI

Some Research Works

• Causality in Dynamic Systems and its Applications
  October 2024 - Present
• Polynomial Identity Testing on Specific ROABP Models and Log-Variate Circuits (June 2024 -- August 2024) [Report]
  Indian Institute of Technology Kanpur; Members: Ankan Kar, Supervised by Prof. Nitin Saxena
  Funded by the J.C. Bose Fellowship
• Optimization of Complexity of Various Voting Rules (May 2022 -- November 2022)
  Indian Institute of Technology Kharagpur; Members: Ankan Kar, Supervised by Prof. Palash Dey