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Hi !
I’m Prarthana, a Ph.D. Candidate in Electrical Engineering at the University of Windsor, and someone who has spent the past several years deeply immersed in batteries, electric vehicles, and intelligent systems.
A lot of my work has been driven by a simple challenge: "making batteries safer, more reliable, and better suited for real-world driving conditions".
During my master’s and PhD, I approached this hands-on, spending hundreds of hours collecting experimental data, building and validating models, and tackling the practical challenges that arise when theory meets real systems.
I am always happy to connect with fellow researchers, engineers, and industry professionals. If you’d like to discuss potential opportunities, collaborations, or learn more about my work, please reach out or connect with me on 🔗 LinkedIn.
Primary Research Area: Battery Management Systems
Primary Research Area: Battery Management Systems
My core work focuses on battery management systems for electric vehicles, tackling challenges that limit their reliability in real-world applications. This includes reducing uncertainty in open-circuit voltage modeling, quantifying and mitigating variability in impedance measurements, improving state estimation (SOC/SOH) under dynamic conditions, and performing robust parameter estimation for equivalent circuit models using practical, low-cost approaches. I also explore emerging sensor-free battery monitoring techniques and develop strategies that balance fast charging with battery safety, efficiency, and long-term durability.
Other Research Areas
Other Research Areas
Alongside this, I research driver monitoring for semi-autonomous vehicles, studying how cognitive load impacts Level 2 and 3 driving. Using eye-tracking, physiological, and behavioral data, I develop real-time systems to detect distraction, overload, or disengagement. I’ve also applied these methods to vision therapy, creating low-cost eye-tracking systems to assess vision disorders and cognitive responses, bridging driver safety and clinical applications.
Explore the Research tab to dive into my studies.
Explore the Research tab to dive into my studies.
Education
Education
Ph.D. in Electrical Engineering, Sep. 2022 – Current (Expected: Aug. 2026)
University of Windsor, ON, Canada CGPA: 3.82/4.0
M.A.Sc. in Electrical and Computer Engineering, Jan. 2020 – Apr. 2021
University of Windsor, ON, Canada CGPA: 3.76/4.0
B.E. in Electrical and Electronics Engineering, 2015 – 2019
Easwari Engineering College, Anna University, Chennai, TN, India GPA: 8.4/10
Why I do what I do
Why I do what I do
What defines my work is a balance of analysis and hands-on problem solving. I dive into the details, debugging models, analyzing noisy datasets, and translating theory into solutions that actually work in vehicles.
I am passionate about building systems at the intersection of electrification and human-centered automation. My goal is to create solutions that make a real impact on how vehicles perform and how people interact with them.
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