Dr. Seyed Saeed Madani | Battery | Best Researcher Award
Waterloo University | Canada
Author Profile
Early Academic Pursuits
Seyed Saeed Madani began his academic journey with a B.Sc. in Mechanical Engineering from Chamran University, Iran, between 2001 and 2006. His early interest in engineering and system dynamics naturally evolved into a specialization in energy systems. This led him to pursue an M.Sc. in Energy System Engineering through a joint program between the University of Manchester, UK, and K.N. Toosi University of Technology, Iran, from 2007 to 2010. His academic excellence and inquisitive mindset during these formative years laid the groundwork for his subsequent doctoral studies. Madani earned his Ph.D. in Energy Technology from the prestigious Aalborg University, Denmark, in 2021. During his Ph.D., he focused on Renewable Energy Systems, a domain that would define the trajectory of his research and professional life. His selection as a recipient of the esteemed OTTO MONSTEDS FOND Denmark Ph.D. scholarship underscores the early recognition of his potential in energy innovation.
Professional Endeavors
Madani's professional career is marked by a unique blend of industry and academic research. He initially applied his technical skills as an Energy Engineer at the National Oil Company (NOC) of Iran from 2005 to 2007 and later from 2010 to 2016. His transition from industry to academia was both strategic and impactful. Following his Ph.D., he held consecutive postdoctoral research roles at leading institutions: the University of Waterloo in Canada and the Karlsruhe Institute of Technology (KIT) in Germany from 2021 to 2024, followed by a Postdoctoral Research Associate position at the University of Quebec in Trois-Rivières - INRS, Canada in 2024–2025. These appointments allowed him to delve deep into battery systems, combining fundamental research with practical applications. He was also honored with the Mitacs Canada Postdoctoral Research Award, a testament to his contributions to energy research in the global context.
Contributions and Research Focus
Seyed Saeed Madani is widely acknowledged for his groundbreaking contributions in battery technology and renewable energy systems. His work is deeply interdisciplinary, spanning energy storage systems, battery lifecycle modeling, AI-powered diagnostics, and thermal management. His innovative research includes the development of advanced multiphysics models for State of Charge (SoC) and State of Health (SoH) estimation using Kalman Filtering techniques. He has pioneered the integration of AI and machine learning models-such as LSTM, BiLSTM, GRU, and TCN-for predictive diagnostics in battery systems. Madani also designed efficient thermal management systems using FEA and CFD tools, validating them for large-format battery packs. His efforts in hybrid battery modeling and lifecycle simulation have significantly advanced the industry’s understanding of battery degradation, efficiency, and safety.
Impact and Influence
Over nearly two decades, Madani has evolved into a thought leader in the energy systems and battery research space. His scholarly output-comprising around sixty high-impact publications-has shaped discussions in both academia and industry. His use of machine learning for battery diagnostics and aging prediction has had a considerable influence on how industries approach battery management systems (BMS) today. As the energy sector pivots toward sustainable solutions, Madani’s work on simulation frameworks and AI integration has become particularly timely and impactful. His contributions go beyond research-by mentoring and collaborating with international institutions, he has fostered a cross-cultural and interdisciplinary research ethos.
Academic Citations and Recognition
Madani’s research has not only garnered important academic citations but has also led to notable awards and funding. Being a recipient of the OTTO MONSTEDS FOND scholarship for his Ph.D. and the Mitacs Postdoctoral Research Award in Canada speaks volumes about the recognition his work receives across academic borders. His projects are frequently cited in energy systems literature, especially in areas concerning battery health monitoring, simulation accuracy, and machine learning for predictive analytics. These citations underscore his contributions to both theoretical advancement and practical applications.
Legacy and Future Contributions
With an impressive blend of academic rigor, industrial insight, and technological innovation, Seyed Saeed Madani is poised to leave a lasting legacy in the energy systems domain. His holistic approach to battery research-integrating modeling, AI, and thermal systems-is setting new benchmarks in renewable energy technology. Looking ahead, his focus on sustainable, intelligent energy solutions promises to influence next-generation battery systems and grid-level energy management. He is expected to play a pivotal role in shaping global energy transitions, especially as the world shifts toward electric mobility, smart grids, and decentralized power systems.
Conclusion
Dr. Seyed Saeed Madani exemplifies the ideal fusion of academic excellence, practical engineering, and forward-thinking research. With a strong foundation in mechanical and energy systems engineering, his journey from industry to academia has been marked by purposeful innovation and international recognition. His prolific research in battery systems and energy technology is helping chart the course for a more sustainable and intelligent energy future. Through continuous learning, mentorship, and innovation, he continues to drive impact in one of the most critical scientific fields of our time.
Notable Publications
"Artificial Intelligence and Digital Twin Technologies for Intelligent Lithium-Ion Battery Management Systems: A Comprehensive Review of State Estimation, Lifecycle Optimization, and Cloud-Edge Integration"
- Author: Seyed Saeed Madani; Yasmin Shabeer; Michael Fowler; Satyam Panchal; Hicham Chaoui; Saad Mekhilef; Shi Xue Dou; Khay See
- Journal: Batteries
- Year: 2025
"A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis"
- Author: Seyed Saeed Madani; Yasmin Shabeer; François Allard; Michael Fowler; Carlos Ziebert; Zuolu Wang; Satyam Panchal; Hicham Chaoui; Saad Mekhilef; Shi Xue Dou et al.
- Journal: Batteries
- Year: 2025
"Different Metal–Air Batteries as Range Extenders for the Electric Vehicle Market: A Comparative Study"
- Author: Yasmin Shabeer; Seyed Saeed Madani; Satyam Panchal; Mahboubeh Mousavi; Michael Fowler
- Journal: Batteries
- Year: 2025
"A brief survey on heat generation in lithium-ion battery technology"
- Author: Seyed Saeed Madani; Mojtaba Hajihosseini; Carlos Ziebert
- Journal: Renewable Energy and Environmental Sustainability
- Year: 2024
"Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries"
- Author: Seyed Saeed Madani; Carlos Ziebert; Parisa Vahdatkhah; Sayed Khatiboleslam Sadrnezhaad
- Journal: Batteries
- Year: 2024