Research

My research interests lie at the intersection of power electronics, energy storage, and control, with a particular focus on how such systems evolve over long time horizons and shape future technological infrastructure.

Primary Interests

DC–DC converters and high-efficiency power electronic topologies
Bidirectional converters for battery energy storage systems
Battery Management Systems (BMS)
State-of-Charge (SoC) and State-of-Health (SoH) estimation
Control of power electronic and energy systems

Current Directions

I am currently exploring high-efficiency converter design for battery applications, with an emphasis on realistic operating conditions, long-term degradation, and system-level trade-offs rather than idealized performance metrics.

In parallel, I am interested in machine learning and data-driven methods for battery modeling, particularly in regimes where traditional physics-based models struggle to capture complex aging behavior.

Broader Questions

Beyond immediate technical challenges, I am interested in broader questions such as:

How should energy systems be evaluated over decades rather than years?
What are the limits of efficiency, reliability, and control in large-scale storage?
How can engineering remain grounded in physical reality while using data-driven tools?

Publications & Talks

Selected conference papers and publications will be listed here.

Comparative Analysis of Deep Learning Models for SOC Estimation in Li-ion Batteries

Presented a conference paper analyzing and comparing the performance of various deep learning architectures for accurate State-of-Charge (SOC) estimation in lithium-ion battery systems, focusing on robustness, generalization, and real-world applicability.

Bio-Inspired Optimization Techniques for SOH Estimation

Presented research on bio-inspired optimization algorithms applied to State-of-Health (SOH) estimation of lithium-ion batteries, emphasizing adaptive learning, convergence behavior, and long-term degradation modeling.

Active Cell Balancing Strategies in Battery Management Systems

Delivered a technical presentation on active cell balancing methods in Battery Management Systems (BMS), highlighting efficiency improvements, energy redistribution techniques, and their impact on battery lifespan and safety.

Writing & Notes

Alongside formal research, I write informal notes and short essays. These are not polished publications, but attempts to clarify my thinking and explore ideas while they are still forming.

Engineering Over Decades
Reflections on evaluating energy systems beyond short-term efficiency metrics.
Limits of Modeling in Battery Systems
On the gap between physics-based models, data-driven methods, and real-world degradation.
Control, Uncertainty, and Reality
Notes on control theory, uncertainty, and the epistemic limits of prediction.