Atsushi Ishikawa | Energy Sustainability | Research Excellence Award

Dr. Atsushi Ishikawa | Energy Sustainability | Research Excellence Award

IHI Corporation | Japan 

Atsushi Ishikawa is a Senior Researcher at IHI Corporation, Japan, specializing in energy conversion technologies. His expertise spans thermal energy storage systems, fluidized bed technology, and gas–liquid two-phase flow, with strong foundations in mechanical engineering. He has contributed to both industrial innovation and academic research, combining experimental methods with numerical simulations to advance thermal–fluid sciences. His work supports industrial decarbonization and renewable energy integration, particularly through the development of packed bed and circulating fluidized bed thermal energy storage systems. He has authored multiple peer-reviewed publications, conference papers, and corporate technical articles, and has received professional recognition for excellence in engineering research and measurement techniques.

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Featured Publications

Masoumeh Bararzadeh Ledari | Energy Sustainability | Editorial Board Member

Dr. Masoumeh Bararzadeh Ledari | Energy Sustainability | Editorial Board Member

Dr. Masoumeh Bararzadeh Ledari | Amirkabir University of Technology | Iran

Dr. Masoumeh Bararzadeh Ledari is an accomplished academic, researcher, and technical consultant specializing in energy engineering, climate change, sustainable resource management, and decarbonization strategies, with significant experience across academia, industry, and international collaborations. She earned her Ph.D. in Energy Engineering from Sharif University of Technology, Tehran (2014–2021), where her doctoral thesis focused on hybrid technology evaluation models for minimizing ecosystem sustainability impacts, following her M.Sc. in Energy Engineering from the same institution (2009–2011) and a B.Sc. in Chemical Engineering from the University of Tehran (2004–2008). Throughout her career, she has held academic positions as Lecturer, Adjunct Professor, and Instructor at leading Iranian universities, including AmirKabir University of Technology, Sharif University of Technology, and the University of Tehran, where she has taught courses in renewable energy systems, waste management, building energy simulation, and optimization. Her professional experience extends to leadership roles such as Scientific Director at Tadbirgaran Energy Company, Technical Manager at the Presidential Center for Progress and Development, and Head of Technology Management Groups at multiple organizations, including Butia Steel Company and Engineering & Industrial Management Consultants Group, where she has directed projects in hydrogen energy transition, carbon capture and storage, petrochemical value chains, and energy-environmental modeling. She has also contributed internationally as a Research Scientist at the International Institute for Applied Systems Analysis (IIASA) in Austria and the Research Centre for Energy Resources and Consumption in Spain, focusing on water-food-energy nexus models and thermodynamic modeling of biosystems. Her research interests include climate change mitigation, regenerative life models, corporate decarbonization in petrochemical and steel industries, exergy-based ecosystem analysis, and AI-driven energy optimization. Skilled in technical-economic feasibility studies, LCA/LCP modeling, energy policy, greenhouse gas accounting, and process simulation, she has authored influential research cited over 400 times (h-index 11). Her honors include leading multi-sectoral projects with UNDP, FAO, and national ministries on climate policy, stakeholder engagement, and natural resource management. In conclusion, Masoumeh Bararzadeh Ledari has established herself as a versatile scholar and practitioner who bridges academia, industry, and policymaking, advancing innovative approaches to sustainable energy, climate resilience, and decarbonization pathways, while contributing to both national development and global sustainability initiatives.

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Featured Publications

Sabet, A. F., Ledari, M. B., Maleki, F., & Fani, M. (2025). Exergy and thermoeconomic comparison of sustainable methanol and ammonia production from waste and CO₂. Journal of Environmental Chemical Engineering, 119148.

Ledari, M. B., Barkhordar, Z. A., & Maleki, F. (2025). Unveiling the potential of bio-based petrochemical development for a sustainable circular economy: A global perspective. Chemical Engineering Journal, 167974.

Kordi, A., Mohebbi, K., Ledari, M. B., & Shirafkan, S. M. (2025). Transforming ports for a low-carbon future: Nexus modeling of hydrogen infrastructure, employment, and resource management in contrasting climates. Energy Nexus, 100515.

Shirafkan, S. M., Ledari, M. B., Mohebbi, K., Fani, M., & Vahedi, R. (2025). Revolutionising the petrochemical supply chain: Integrating waste and CO₂ from CCUS into a low-carbon circular economy framework. Journal of Environmental Chemical Engineering, 116722.

Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award | 2573

Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award

Mr. Wenzhuang Liu | North China University of Science and Technology | China

This researcher has built a strong academic foundation in energy systems and renewable energy integration, focusing on innovative methods to enhance the flexibility, efficiency, and sustainability of modern power grids. With advanced studies in engineering thermophysics and hands-on experience in multiple research projects, the researcher has developed a deep understanding of thermodynamics, energy storage systems, and the challenges associated with large-scale renewable energy integration under contemporary carbon-neutrality goals. A key contribution is the development of an optimized configuration regulation method for energy storage systems (ESS) designed to address peak-shaving pressures arising from the widespread adoption of renewable energy. This method integrates deep peak shaving of thermal power units with coordinated demand-side response strategies, forming a comprehensive source-load-storage interaction model. By accounting for uncertainties in renewable generation and dynamic load variations, the framework enhances system responsiveness and operational flexibility. Simulation studies conducted across multiple scheduling scenarios demonstrate substantial improvements, including reductions in overall operation cost, unit operating cost, and renewable energy input cost. The findings highlight the method’s potential to significantly boost renewable energy utilization while maintaining economic and operational stability in power systems. Beyond this flagship innovation, the researcher has contributed to ongoing projects related to optimizing energy storage configurations for enhanced peak regulation. Their scholarly output includes publications in reputable journals and active engagement in funded research initiatives supported by scientific foundations and industrial laboratories. The researcher has also patented a novel ESS configuration approach centered on deep peak shaving and source-load-storage coordination. Overall, the researcher’s work advances both theoretical and application-oriented dimensions of renewable energy integration. Their contributions support more resilient, responsive, and economically viable power systems, making a meaningful impact on the transition toward low-carbon energy futures and reinforcing their suitability for recognition under research excellence awards.

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Featured Publications

Liu, J., Zhang, Z., Xie, Q., & Liu, W. (2024). Dual-phase model: Estimating the temperature and hydrodynamic size of magnetic nanoparticles with protein-corona formation. Applied Physics Letters. https://doi.org/10.1063/5.0199403

Li, L., Yi, W., Cui, X., & Liu, W. (2023). Rapid and high sensitivity temperature measurement based on near-extinction photoelastic modulated magneto-optical Kerr effect of Fe-Gd nanofilm. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3323049

Liu, J., Huang, P., Zhang, Z., Xie, Q., & Liu, W. (2023). The nonlinear dynamics of magnetic nanoparticles: A thermometry in complex magnetic fields. Applied Physics Letters. https://doi.org/10.1063/5.0151058

Cui, X., Li, L., & Liu, W. (2022). A rapid and sensitive magnetic immunoassay of biomolecules based on magnetic nanoparticles. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2022.3216405

Guo, S., Yi, W., & Liu, W. (2022). Biological thermometer based on the temperature sensitivity of magnetic nanoparticle paraSHIFT. Nanotechnology. https://doi.org/10.1088/1361-6528/ac3b81

Peng, H., Cheng, C., Wan, Q., Jia, S., Wang, S., Lv, J., Liang, D., Liu, W., Liu, X., Zheng, H., et al. (2022). Fast multi-parametric imaging in abdomen by B1+ corrected dual-flip angle sequence with interleaved echo acquisition. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29127