Research Interest

My research interests lie at the intersection of data science, machine learning, and their applications in the Healthcare and Energy domains.

Energy

• Develop ML models to optimize energy consumption, predict equipment failures, and forecast demand and supply.

• Apply deep reinforcement learning for scheduling, energy management, and adaptive HVAC systems.

• Advance renewable energy integration using data-driven methods.

• Leverage big data analytics to improve the efficiency and sustainability of energy systems.

Healthcare

• Predictive Modeling for Chronic Conditions: Build and validate models to anticipate disease progression and adverse events.

• Personalized Care: Develop patient-level risk stratification and treatment recommendation frameworks.

• Transfer Learning: Adapt models across cohorts and institutions to improve accuracy and reduce data requirements.