Tina Shoa received a Ph.D. in electrical engineering from the University of British Columbia, Canada, in 2010. She previously worked as a postdoctoral fellow and as a research scientist at Automotive Fuel Cell Cooperation, specializing in electrochemical modeling and characterization techniques. In 2013, she joined Cadex Electronics as director of research, where she managed research activities focused on battery modeling and diagnostic methods. She actively collaborates with universities to investigate state-of-the-art technologies and incorporate them into product development. Shoa joined the Department of Energy Management at New York Institute of Technology as an assistant professor in 2019. She holds multiple patents in the area of battery diagnostics technology and has authored more than 30 peer-reviewed articles, as well as a book chapter.
Recent Projects and Research
- Energy storage and battery diagnostic systems
- Machine learning for battery life assessment
- Life cycle analysis of EV batteries
Selected Publications and Presentations
- Tonima Masouda, Tina Shoa (2023), "Electrochemical Impedance Spectroscopy (EIS) and Machine Learning based Battery State of Health (SoH) Estimation," Accepted at 2023 IEEE Conference on Prognostics and Health Management, 7–9 June, Montreal Quebec
- M Messing, S Rahimifard, T Shoa, S Habibi, "Low Temperature, Current Dependent Battery State Estimation Using Interacting Multiple Model Strategy" Ieee Access 9, 99876-998893, 2021
- M Messing, T Shoa, S Habibi, "Estimating battery state of health using electrochemical impedance spectroscopy and the relaxation effect" Journal of Energy Storage 43, 1032102, 2021
- M Messing, T Shoa, S Habibi, "Electrochemical Impedance Spectroscopy With Practical Rest-Times for Battery Management Applications" IEEE Access 9, 66989-669981, 2021
- M Messing, T Shoa, S Habibi, "EIS from Accelerated and Realistic Battery Aging," 2021 IEEE Transportation Electrification Conference and Expo (ITEC), 720–725
- M Messing, T Shoa, R Ahmed, S Habibi, "Battery SoC estimation from EIS using neural nets, 2020 IEEE Transportation Electrification Conference and Expo (ITEC), 588–593, 9
- M Messing, T Shoa, S Habibi, "Lithium-ion battery relaxation effects," 2019 IEEE Transportation Electrification Conference and Expo (ITEC), 1–65
- E. Fisher, T. Shoa, John Madden, Dan Bizzotto, "Determining the SOC for Pb Acid Batteries Using Non-linear Impedance Analysis" Submitted to Journal of Echemical Society, 10/2019.
- Hamed Afsharia, Mina Attaria, Ryan Ahmeda, Ali Delbaria, Saeid Habibi, Tina Shoa "Reliable state of charge and state of health estimation using the smooth variable structure filter," Control Engineering Practice, Volume 77, August 2018, Pages 1–14
Honors and Awards
- BC Innovation award
Courses Taught at New York Tech
- ENGY 710
- ENGY 890
- ENGY 795
- ENGY 745