Masoumeh Bararzadeh Ledari | Energy Sustainability | Editorial Board Member

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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.

Profile: Scopus | Google scholar

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

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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.

Profiles: Scopus | Orcid 

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

Luis Martin Pomares | Renewable Resources | Best Researcher Award

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Dr. Luis Martin Pomares | Renewable Resources | Best Researcher Award

Dr. Luis Martin Pomares | DEWA R&D | United Arab Emirates

A distinguished solar energy expert and research scientist, with over two decades of professional experience spanning solar resource assessment, satellite-based irradiance modeling, and renewable energy forecasting. His career bridges applied research, data analytics, and large-scale solar project development, contributing to the advancement of sustainable energy systems worldwide. Currently serving as a Principal Scientist and Program Director at the Dubai Electricity and Water Authority (DEWA) R&D Center, he leads initiatives in solar resource assessment, satellite image processing, and deep learning-based solar forecasting. His work includes developing data pipelines for solar forecasting using modern AI frameworks such as TensorFlow and Keras, and managing BSRN radiometric stations for high-precision solar measurements. Previously, he was a Scientist at Qatar Foundation’s QEERI, where he directed the development of the Solar Atlas of Qatar and applied remote sensing methods for regional solar mapping. Earlier, as President and Project Developer at Investigaciones y Recursos Solares Avanzados (IrSOLaV), he managed multi-megawatt PV and CSP projects across several continents and pioneered forecasting systems integrating Numerical Weather Prediction (NWP) and satellite-based nowcasting models. His expertise encompasses radiative transfer modeling, atmospheric physics, GIS-based solar mapping, and energy system simulation. He has contributed extensively to IEA Solar Heating and Cooling Tasks 36 and 46, COST Action 1002, and EU FP7 projects on solar nowcasting. He is also an active reviewer for leading journals such as Solar Energy, Journal of Solar Energy Engineering, and Atmospheric Measurement Techniques. Academically, he holds a Ph.D. in Physical Sciences (Cum Laude) from the Complutense University of Madrid, with a dissertation on solar radiation prediction using statistical methods. His publication record includes numerous peer-reviewed papers and book chapters on solar resource modeling, machine learning applications in energy forecasting, and site adaptation of solar datasets.

Profile: Google Scholar

Featured Publications

Valappil, V. K., & Martin-Pomares, L. (2025). Characterizing solar attenuation for concentrated solar power plants in Dubai using AERONET data and libRadtran. Solar Energy, 302, 114082.

Sanfilippo, A., Martin-Pomares, L., & Polo, J. (2025). Solar resources mapping: Fundamentals and applications. Springer Nature.

Nie, Y., Paletta, Q., Scott, A., Martin-Pomares, L. M., Arbod, G., Sgouridis, S., Lasenby, J., et al. (2024). Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning. Applied Energy, 369, 123467.

Rezk, M., Tiwari, V. K., Manandhar, P., Krishnan, V., & Martin-Pomares, L. M. (2024). A CNN-based classifier for quality image selection from sky cameras. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Manandhar, P., Tiwari, V. K., Rezk, M., Krishnan, V., & Martin-Pomares, L. M. (2024). Convolutional deep learning hierarchical classifier to identify synoptic sky conditions based on sky images. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Martin-Pomares, L., Ghaoud, T., Al Khaja, T. T., Alemadi, A., Ahmed, M. S. M. M., et al. (2024). Sea water salinity estimation over Dubai using satellite imagery & WASI empirical model approach: Application to SpaceD DEWASAT-2 nanosatellite. Proceedings of the 7th International Conference on Signal Processing and Information Technology (ICSPIT).

Jimmy Romanos | Energy Sustainability | Excellence in Research

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Dr. Jimmy Romanos | Energy Sustainability | Excellence in Research

Dr. Jimmy Romanos | Lebanese American University | Lebanon

Dr. Jimmy Romanos is an Associate Professor of Physics at the Lebanese American University, with a distinguished record in interdisciplinary research spanning thermal physics, materials science, and energy storage. He holds a Ph.D. in Physics from the University of Missouri, USA, and has extensive experience in both academia and industry, including leadership roles as a lead materials scientist in the U.S. and as a consultant in the energy sector. His research focuses on atomic-scale thermodynamic processes in gas adsorption, targeting applications such as carbon dioxide capture, methane and hydrogen storage, gas separation, and lead-free ceramics. Dr. Romanos has been recognized with the Shoman Award for Arab Researchers in Physics, becoming the first Lebanese physicist to receive this honor. He has led numerous funded projects, both intramural and extramural, and holds multiple patents in advanced carbon materials and gas storage technologies. With over a decade of prolific contributions through peer-reviewed publications, conference presentations, and industrial reports, his work bridges computational, theoretical, and experimental approaches to address critical challenges in energy and environmental technologies.

Profile:  Google Scholar 

Featured Publications

Romanos, J., Beckner, M., Rash, T., Firlej, L., Kuchta, B., Yu, P., Suppes, G., … (2012). Nanospace engineering of KOH activated carbon. Nanotechnology, 23(015401), 1–11. https://doi.org/10.1088/0957-4484/23/1/015401

Kuchta, B., Firlej, L., Mohammadhosseini, A., Boulet, P., Beckner, M., … Romanos, J. (2012). Hypothetical high-surface-area carbons with exceptional hydrogen storage capacities: Open carbon frameworks. Journal of the American Chemical Society, 134(36), 15130–15137. https://doi.org/10.1021/ja3062439

Romanos, J., Burress, J., Pfeifer, P., Rash, T., Shah, P., Suppes, G. (2012). High surface area carbon and process for its production. US Patent 20130190542A1.

Beckner, M., Romanos, J., Dohnke, E., … (2011). Analysis of hydrogen sorption characteristics of boron-doped activated carbons. Bulletin of the American Physical Society, 56.

Soo, Y. C., Beckner, M., Romanos, J., Wexler, C., Pfeifer, P., Buckley, P., … (2011). A high volume, high throughput volumetric sorption analyzer. Bulletin of the American Physical Society, 56(1), 20003.

Xue Li | Energy Sustainability | Best Researcher Award

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Ms. Xue Li | Energy Sustainability | Best Researcher Award

Ms. Xue Li | Wuhan Institute of Technology | China

Dr. Li Xue received her Ph.D. in Thermal Engineering from Dalian University of Technology in 2021. She is currently a faculty member at the School of Optical Information and Energy Engineering, Wuhan Institute of Technology. Her core research focuses on the near-wall collisions of microscale particles and the fundamentals of particle dynamics. She investigates how microscale interactions influence fluid flow, heat transfer, and energy conversion processes. Her studies contribute to advancing knowledge in microfluidics, aerosol science, and particulate system behavior. By integrating theoretical modeling with experimental validation, she addresses key challenges in microscale transport phenomena. Her work aims to improve the design of energy systems with higher efficiency and better control of particle interactions. She is also interested in the application of microscale particle research in thermal management and engineering systems. Through her academic contributions, she supports interdisciplinary advancements bridging thermal engineering and energy science. Dr. Xue continues to expand her research portfolio while mentoring students in innovative areas of energy and particle engineering.

Profile: Orcid

Featured Publications

Li, X., Xie, J., Dong, M., Chen, S., & Dong, W. (2024). Could the rebound characteristics of oblique impact for SiO₂ particles represent the ash particles? ACS Omega, 9(9), 10564–10574.

Li, X., Dong, M., Zhang, H., Li, S., & Shang, Y. (2020). Effect of surface roughness on capillary force during particle-wall impaction under different humidity conditions. Powder Technology, 369, 253–261.

Li, X., Dong, M., Jiang, D., Li, S., & Shang, Y. (2020). The effect of surface roughness on normal restitution coefficient, adhesion force and friction coefficient of the particle-wall collision. Powder Technology, 361, 311–320.

Li, X., Dong, M., Li, S., & Shang, Y. (2019). Experimental and theoretical studies of the relationship between dry and humid normal restitution coefficients. Journal of Aerosol Science, 130, 67–76.

Dong, M., Mei, Y., Li, X., Shang, Y., & Li, S. (2018). Experimental measurement of the normal coefficient of restitution of micro-particles impacting on plate surface in different humidity. Powder Technology, 334, 52–60.

Dong, M., Li, X., Mei, Y., & Li, S. (2018). Experimental and theoretical analyses on the effect of physical properties and humidity of fly ash impacting on a flat surface. Journal of Aerosol Science, 117, 121–131.