Journey into Discovery: My Research Portfolio

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

My current works are focused on:

• Causal Inference on Dynamic Systems and Causal AI based on Time Series Causal Models.
• Construction of an Automated Stock Market Trading model based on Reinforcement Learning and Distribution Theory.
• Polynomial Identity Testing for some ROABP models.

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, AI, Graph Theory & Algorithms, Algebraic Complexity Theory

Master's Thesis

Exploring Causality and Explainability in Time Series Models supervised by Prof. K. V. Subrahmanyam

Main focuses of the first part of this thesis is to study the topic specifically for our aim as listed below:

• Implementation of Algorithms like PC, Greedy Search, ARIMA on Time-Series Data with slight modification according to our dataset
• Event Identification and Causal Analysis on Medical Time Series datasets like ECG, EEG
• Short-Term Predictive Modeling and Data Classification & Conclusion Derivation