51猎奇入口

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Principal Investigator

Dr. Tina Shoa

Associate Professor

 

Dr. Tina Shoa is an Associate Professor in the School of Sustainable Energy Engineering at 51猎奇入口, where she leads research on intelligent battery management systems, battery diagnostics, and advanced electrochemical sensing for electric vehicles and energy storage applications. She received her Ph.D. in Electrical Engineering from the University of British Columbia in 2010.

Dr. Shoa began her research career as a Postdoctoral Fellow and later as a Research Scientist at Automotive Fuel Cell Cooperation, where she developed electrochemical models and advanced characterization methods for fuel cell systems. In 2013, she joined Cadex Electronics as Director of Research, leading the development of innovative battery diagnostic technologies that were successfully commercialized in battery analyzers and battery management systems.

Before joining SFU, Dr. Shoa served as an Assistant Professor in the Department of Energy Management at the New York Institute of Technology. Her research focuses on advanced battery diagnostics, electrochemical impedance spectroscopy, ultrasonic battery characterization, embedded sensing, physics-guided artificial intelligence, and intelligent battery management systems. Her group develops technologies for early fault detection, battery health estimation, degradation prediction, and intelligent control to improve battery safety, reliability, performance, and lifetime. A central theme of her research is translating advanced diagnostic technologies into practical, real-world battery management solutions through close collaboration with industry. She holds multiple patents in battery diagnostics and works with industrial and government partners to accelerate the deployment of next-generation battery technologies.

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Graduate Students

Saleh Mohammed Shahriar

PhD Student - Jan 2025

Saleh is a PhD student in Sustainable Energy Engineering at 51猎奇入口, working with Dr. Tina Shoa in her Battery Lab. His research develops digital twins of lithium-ion batteries, combining electrochemical impedance spectroscopy, pulse testing, and physics-guided machine learning to estimate battery state more accurately than physics-based or purely data-driven models can alone. He is also working as a research intern at Cadex Electronics Inc. Saleh holds a BSc in Electrical and Computer Engineering from Rajshahi University of Engineering and Technology, Bangladesh and an MASc in Electrical and Computer Engineering from the University of Victoria, BC, Canada. His long-term goal is a battery digital twin validated across thousands of real cells and multiple chemistries.

Email: saleh_mohammed_shahriar@sfu.ca

Arefeh Amrollahi

PhD Student - May 2025

Arefeh is an electrical engineer and PhD student in Sustainable Energy Engineering at 51猎奇入口. Her current research develops state-of-charge estimation methods for fault diagnosis in battery management systems, where accurate real-time estimates of internal battery states are used to identify cell degradation and emerging faults before they affect pack performance or safety. The work is validated on multi-cell battery systems characterized over long-term aging, allowing estimation accuracy and fault sensitivity to be assessed as cells drift from their initial condition. Holds an M.A.Sc. in Electrical and Computer Engineering from Concordia University, where thesis work addressed distributed fault detection and cyber-attack impact analysis in multi-agent formation control, covering secure state estimation and detection of sensor and actuator anomalies in networked systems. Brings industry experience in EV powertrain controls and robotics verification and validation.

Email: arefeh_amrollahi@sfu.ca

Niloufar Radan

PhD Student - Sept 2026

Niloufar Radan is a Ph.D. student in Sustainable Energy Engineering at 51猎奇入口, co-supervised by Dr. Byron Gates. She received her master's degree in chemical engineering from Sharif University of Technology, where she also worked as a research assistant. Her master鈥檚 research focused on the synthesis and characterization of metal-organic frameworks (MOFs) for environmental applications. For her Ph.D. studies, she is building a strong foundation in lithium-ion battery (LIB) characterization, with a particular interest in understanding battery performance, degradation, and aging mechanisms to improve battery longevity and lifetime. Her broader research interests are driven by a passion for sustainable energy technologies and their potential to contribute to a cleaner and more efficient energy future. Outside of research, she enjoys cycling, playing volleyball, ice skating, and watching movies.

Email: niloufar_radan@sfu.ca

Shabnam Razmjooei

MASc Student - Jan 2025

Shabnam is an MASc student in Sustainable Energy Engineering at SFU, and a Research Intern at Cadex Electronics Inc. She holds a bachelor's degree in Engineering Science. Her research develops temperature-aware impedance diagnostics for batteries, using electrochemical impedance spectroscopy (EIS) to estimate the internal core temperature of cells, studying how impedance characteristics evolve with temperature across a wide range of operating conditions. At Cadex, she works on rapid pulse-based and EIS diagnostics for grading battery State of Health in fielded devices. Her long-term goal is to bring internal-state sensing into real-time battery management systems, moving battery safety from scheduled maintenance to continuous onboard monitoring, enabling safer, more efficient and sustainable battery operation.

Email: shabnam_razmjooei@sfu.ca

Fatemeh Kalaki

MASc Student - May 2026

Fatemeh is an MASc student in Sustainable Energy Engineering at SFU, co-supervised by Dr. Kevin Oldknow. She holds a bachelor's degree in Chemical Engineering. Her research focuses on developing non-destructive ultrasonic techniques for monitoring and diagnosing different types of batteries. She investigates how ultrasonic wave characteristics, including amplitude and time-of-flight, respond to changes in battery state and internal structure, with the goal of improving state-of-charge, state-of-health, and degradation assessment. Her work explores different ultrasonic configurations, combined with signal processing and data analysis. Her long-term goal is to develop reliable, non-invasive monitoring methods that can support safer and more effective battery management systems.

Email: fka28@sfu.ca

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