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
- Wide-Band-Gap Semiconductor Devices
- Battery Management Systems (BMS)
- 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.
Reflections on the role of SiC and GaN devices in next-generation power converters, focusing on efficiency gains, high-frequency operation, and practical non-idealities.
Read Notes (PDF)
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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.