Project Title:

Advanced Machine Learning Frameworks for Prediction, Optimization, and Decision Intelligence

Overview:

This research project focuses on developing advanced machine learning and deep learning models for predictive analytics, optimization, and intelligent decision-making across multiple domains, including finance, healthcare, climate science, and industrial systems. The project integrates neural networks, ensemble learning, transformers, and graph-based models to handle large-scale, complex datasets.

Key Research Focus Areas:

• Predictive modeling using CNNs, LSTMs, Transformers, and GNNs

• Time-series forecasting (finance, sales, climate, emissions)

• Optimization using hybrid ML and evolutionary algorithms

• Explainable and trustworthy AI models

Current Outcomes:

• High-accuracy financial forecasting models

• Climate and rainfall prediction systems

• Industrial fault prediction and optimization frameworks

Funding & Collaboration Relevance:

Aligned with NSF AI Institutes, DOE, NOAA, and industry analytics partnerships. Supports data-driven policy, economic forecasting, and smart systems.

Published papers: