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, technical presentations, and research contributions.
Comparative Analysis of Deep Learning Models for SOC Estimation in Li-ion Batteries
Conference Paper
A comparative study of deep learning architectures for accurate State-of-Charge (SOC) estimation in lithium-ion battery systems, with emphasis on robustness, generalization, and real-world applicability.
Bio-Inspired Optimization Techniques for SOH Estimation
Conference Paper
Explores bio-inspired optimization algorithms applied to State-of-Health (SOH) estimation of lithium-ion batteries, focusing on adaptive learning behavior, convergence characteristics, and long-term degradation modeling.
Active Cell Balancing Strategies in Battery Management Systems
Technical Presentation
A study on active cell balancing techniques in Battery Management Systems (BMS), highlighting efficiency improvements, energy redistribution strategies, and their impact on battery lifespan, safety, and system reliability.
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.
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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.