Shehzad Ahmed | Energy | Best Researcher Award

Dr. Shehzad Ahmed | Energy | Best Researcher Award

Shanghai Jiaotong University | China

Dr. Shehzad Ahmed is a materials scientist whose research advances fundamental and applied understanding of amorphous and energy-storage materials, with a particular emphasis on phase-change memory systems, transition-metal carbides, porous carbon frameworks, and advanced battery technologies. His work investigates atomic-scale structure, electronic behavior, and crystallization kinetics in disordered materials using state-of-the-art computational tools, including density functional theory, multiscale modeling, and high-precision simulation packages such as VASP, CP2K, Materials Studio, and VMD. Dr. Ahmed completed research training across internationally recognized laboratories, contributing to projects spanning condensed matter physics, nanomaterials engineering, and theoretical chemistry. He has authored numerous peer-reviewed publications in reputable journals such as Physical Chemistry Chemical Physics, Nanoscale, npj Computational Materials, Materials Today Chemistry, Small, Optics Express, and Journal of Physical Chemistry C, demonstrating both scientific depth and multidisciplinary reach. His work has also appeared in special issues dedicated to advances in photonic phase-change materials and structural evolution in Sb–Te alloys, highlighting his expertise in memory materials relevant to future high-speed photonic and electronic devices. He maintains active collaborations with researchers in China, Pakistan, Europe, and beyond, contributing theoretical insights to experimental and engineering groups working on batteries, metasurfaces, photonics, and electrocatalysis. Dr. Ahmed’s research initiatives address globally relevant technological challenges, including sustainable energy storage, next-generation data memory systems, and efficient optoelectronic platforms. Through computational materials discovery, he contributes pathways for designing high-capacity anodes, high-performance cathodes, 3D porous structures, and tunable nanophotonic elements. His scientific output, supported by continuous collaborations and diverse research environments, reflects a growing impact on the broader materials science community. Collectively, his work advances the international effort to develop more efficient, durable, and sustainable materials for energy and information technologies, reinforcing his position as an emerging researcher with significant contributions to modern materials research.

Featuered Publications

Ali, L., Ali, B., Liu, X., Ahmed, S., & Shah, M. A. (2022). Analysis of bio-convective MHD Blasius and Sakiadis flow with Cattaneo–Christov heat flux model and chemical reaction. Chinese Journal of Physics, 77, 1963–1975.

Idrees, M., Batool, S., Din, M. A. U., Javed, M. S., Ahmed, S., & Chen, Z. (2023). Material-structure-property integrated additive manufacturing of batteries. Nano Energy, 109, 108247.

Farooq, U., Shah, U. A., Ishaq, M., Hu, J. G., Ahmed, S., Chen, S., Zheng, Z. H., Su, Z. H., … (2023). Defects passivation by solution-processed titanium doping strategy towards high efficiency kesterite solar cells. Chemical Engineering Journal, 451, 139109.

Younis, U., Muhammad, I., Wu, W., Ahmed, S., Sun, Q., & Jena, P. (2020). Assembling Si₂BN nanoribbons into a 3D porous structure as a universal anode material for both Li- and Na-ion batteries with high performance. Nanoscale, 12(37), 19367–19374.

Ali, A., Liang, Y., Ahmed, S., Yang, B., Guo, B., & Yang, Y. (2020). Mutual contaminants relational realization and photocatalytic treatment using Cu₂MgSnS₄ decorated BaTiO₃. Applied Materials Today, 18, 100534.

Seyed Saeed Madani | Energy | Best Researcher Award

Dr. Seyed Saeed Madani | Energy | Best Researcher Award

Waterloo University, Canada

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.