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.

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).