Research

Research Interests

Decision-level and meta-fusion for multimodal learningMultimodal AutoML for tabular, temporal, and text dataLocal LLM integration and RAG pipelines for research automationTemporal alignment and multi-scale modeling for financial time-seriesRepresentation learning for heterogeneous tabular dataInformation-theoretic analysis of fusion and ensemblesHybrid feature selection with LLM-guided priorsTabular foundation models and scalable structured-data modelsEfficiency, compression, and edge-deployable multimodal systems
Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review

Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review

Authors: Chandravesh Chaudhari, Geetanjali Purswani

Congress on Intelligent Systems, Springer Nature Singapore • 2022

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Hybrid Subset Feature Selection And Importance Framework

Hybrid Subset Feature Selection And Importance Framework

Authors: Chandravesh Chaudhari, Geetanjali Purswani

2023 IEEE International Conference on Contemporary Computing and Communications (InC4), Bangalore, India, 2023 • 2023

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Patents

An Automated Framework for Hybrid Fusion of Multi-Modal Data Using Configurable AutoML Pipelines

Application No.: 202541071889

Year: 2025

Research Management System for Provenance-enabled Retrieval-Augmented Generation and Research Workflow Automation

Application No.: 202641026227

Year: 2026

Copyrights

Screening Research Documents and Citations from Multiple Databases

Diary No.: 7645/2022-CO/L

Automation for Systematic Review

Diary No.: 15427/2022-CO/L