Dr. Seyed Saeed Madani is a distinguished Senior Mechanical Engineer and Battery & Energy Storage Systems Expert with over 20 years of combined academic and industrial experience spanning mechanical, thermal, and electrochemical engineering. He earned his Ph.D. in Energy Technology from Aalborg University, Denmark (2016–2021), with a visiting research term at the Bern University of Applied Sciences, Switzerland, where he focused on degradation modeling and diagnostics of lithium-ion batteries. He holds an M.Sc. in Energy Systems Engineering from the University of Manchester (UK) and K.N. Toosi University (Iran) and a B.Sc. in Mechanical Engineering from Chamran University, Iran. Professionally, Dr. Madani has served as a Postdoctoral Fellow at the University of Waterloo and INRS, Université du Québec, working on advanced battery modeling, digital twins, and AI-enabled battery management systems. Previously, at the Karlsruhe Institute of Technology (Germany), he contributed to EU-funded projects on thermal safety and lifetime prediction of EV batteries. His early career at the National Iranian Oil Company focused on hybrid diesel–PV–battery system design and industrial energy optimization. His research interests include lithium-ion and solid-state battery systems, degradation and safety modeling, electrochemical–thermal coupling, AI-based diagnostics, and next-generation digital energy systems. Dr. Madani’s research skills encompass multiphysics modeling, machine learning, CFD/FEA simulation, electrochemical analysis, and IoT integration for smart energy applications. He has authored over 60 peer-reviewed publications with high citation impact and has collaborated with global leaders in energy and battery research. Among his awards and honors are the Mitacs Elevate Postdoctoral Fellowship (Canada), the OTTO MONSTEDS FOND Ph.D. Scholarship (Denmark), and participation in EU Research Grants for battery modeling. In conclusion, Dr. Madani exemplifies a global research leader whose innovative, multidisciplinary approach continues to advance sustainable energy storage, electric mobility, and intelligent energy system technologies worldwide.
Featured PUblications
Madani, S. S., Shabeer, Y., Fowler, M., Panchal, S., Chaoui, H., Mekhilef, S., … (2025). Artificial intelligence and digital twin technologies for intelligent lithium-ion battery management systems: A comprehensive review of state estimation, lifecycle optimization, and predictive maintenance. Batteries, 11(8), 298.
Shabeer, Y., Madani, S. S., Panchal, S., & Fowler, M. (2025). Performance optimization of high energy density aluminum-air batteries: Effects of operational parameters and electrolyte composition. Future Batteries, 100082.
Madani, S. S., Shabeer, Y., Allard, F., Fowler, M., Ziebert, C., Wang, Z., Panchal, S., … (2025). A comprehensive review on lithium-ion battery lifetime prediction and aging mechanism analysis. Batteries, 11(4), 127.
Madani, S. S., Allard, F., Shabeer, Y., Fowler, M., Panchal, S., Ziebert, C., … (2025). Exploring the aging dynamics of lithium-ion batteries for enhanced lifespan understanding. Journal of Physics: Conference Series, 2968(1), 012017.
Shabeer, Y., Madani, S. S., Panchal, S., Mousavi, M., & Fowler, M. (2025). Different metal–air batteries as range extenders for the electric vehicle market: A comparative study. Batteries, 11(1), 35.
Dr. Seyed Saeed Madani’s work bridges cutting-edge science and real-world innovation by advancing intelligent, safe, and sustainable battery energy storage systems. His integration of AI-driven modeling, digital twins, and advanced electrochemical design accelerates the global transition toward cleaner energy, electric mobility, and resilient power infrastructures, driving impactful progress in both industry and environmental sustainability.