Mahdi Salehi | Energy Sustainability | Editorial Board Member

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Prof. Dr. Mahdi Salehi | Energy Sustainability | Editorial Board Member

Prof. Dr. Mahdi Salehi | Ferdowsi University of Mashhad | Iran

Dr. Mahdi Salehi is a highly respected Professor of Accounting at Ferdowsi University of Mashhad, known for his extensive scholarly contributions to the fields of auditing, financial management, and corporate governance. Born in Hidaj City, Zanjan Province, he has established a strong academic presence through a combination of rigorous research, influential teaching, and active engagement in the professional accounting community. Dr. Salehi’s academic background includes degrees in business management, financial management, and accounting. His early academic work explored the role of financial intermediaries in supporting companies listed on the Tehran Stock Exchange, while his doctoral research examined the corporate audit expectation gap in Iran. These foundational studies helped shape his research trajectory and continue to inform his scholarly outlook. His research interests encompass financial management, ownership structure, auditing, banking, corporate governance, and capital markets. He has authored an extensive body of publications in well-regarded refereed and indexed journals. His work addresses key issues such as audit expectations, audit independence, fraud detection, capital market behavior, financial distress prediction, customer satisfaction in banking and insurance, and the relationship between corporate governance structures and organizational performance. Dr. Salehi’s research often focuses on emerging markets, offering valuable insights into the dynamics of financial systems, regulatory environments, and organizational behavior. His comparative studies—particularly those examining audit practices across different countries—have contributed to a deeper global understanding of audit quality and stakeholder expectations. He is fluent in English, Farsi, and Turkish, enabling him to collaborate widely and contribute to international academic dialogue. With active profiles on major scholarly platforms such as Google Scholar and Scopus, Dr. Salehi is recognized for the reach and impact of his research. Through continuous publication, academic leadership, and engagement with diverse research themes, he has become a prominent and influential voice in the field of accounting.

Profile: Google scholar

Featured Publications

Salehi, M., & Rostami, V., & Mogadam, A. (2010). Usefulness of accounting information system in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(2), 186–195.

Salehi, M., & Alipour, M. (2010). E-banking in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(1), 201–209.

Alipour, M., Salehi, M., & Shahnavaz, A. (2009). A study of on the job training effectiveness: Empirical evidence of Iran. International Journal of Business and Management, 4(11), 63–68.

Hemmatfar, M., Salehi, M., & Bayat, M. (2010). Competitive advantages and strategic information systems. International Journal of Business and Management, 5(7), 158–168.

Salehi, M., Fakhri Mahmoudi, M. R., & Daemi Gah, A. (2019). A meta-analysis approach for determinants of effective factors on audit quality: Evidence from emerging market. Journal of Accounting in Emerging Economies, 9(2), 287–312.

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).

Hanin Othman | Environmental Science | Best Researcher Award

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Ms. Hanin Othman | Environmental Science | Best Researcher Award

Ms. Hanin Othman | The Pennsylvania State University | United States

Dr. Hanin Othman is an accomplished Architect, Researcher, and Designer whose work bridges sustainable architecture, environmental sensing, and computational design. Currently a Ph.D. Candidate in Architecture (Sustainability) at The Pennsylvania State University (USA), she explores innovative intersections between indoor environmental quality monitoring, IoT-based sensor technologies, robotics, and climate-responsive design. Her research advances the integration of low-cost, data-driven sensing systems for health-equitable and energy-efficient built environments, while also engaging in digital fabrication and robotic material processes that merge craft with computational design. She serves as a Graduate Teaching Assistant and Artist & Maker in Residence at Penn State’s College of Engineering, where she leads interdisciplinary workshops on Arduino-based environmental monitoring and IoT applications in architecture. Dr. Othman’s academic career spans over a decade, including extensive teaching and studio leadership at The Hashemite University (Jordan), where she taught across design studios, architectural theory, heritage conservation, and environmental systems. Her research contributions have earned her numerous accolades, including the ICDS Rising Researcher Award, Fox Scholar Award, Artists and Makers in Residence Fellowship, and Sustainability Graduate Student Award Nomination at Penn State. She also received the Best Master Thesis Published Paper Award from the University of Jordan  and the Best Graduation Project Award from The Hashemite University . Her scholarly output demonstrates her growing global recognition, with 45 citations across 45 documents and an h-index of 1, reflecting emerging influence in the fields of smart building systems, urban thermal comfort modeling, and IoT-driven architectural innovation. Through her interdisciplinary and human-centered approach, Dr. Othman continues to contribute to shaping a more sustainable, resilient, and health-conscious built environment aligned with the UN Sustainable Development Goals (SDGs).

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Othman, H., Sieves, G., Guimarães, T., & Azari, R. (2025). A calibration chamber framework for low-cost indoor air quality sensor validation. Building and Environment, 283, 113856. https://doi.org/10.1016/j.buildenv.2025.113856

Othman, H., Azari, R., & Guimarães, T. (2024). Low-cost IoT-based indoor air quality monitoring. Technology | Architecture + Design, 8(2), 2405403. https://doi.org/10.1080/24751448.2024.2405403

Othman, H., Sieves, G., Guimarães, T., & Azari, R. (2024, November 13). Development of a calibration chamber to evaluate the performance of a low-cost IAQ sensing device. In SIGraDi 2024 – Biodigital Intelligent Systems Conference.

Othman, H. (2023). Exploring low-cost sensors for indoor air quality (IAQ) monitoring. In C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD).

Imam, C. A., Othman, H. A. S., & Çapunaman, Ö. B. (2023). Robotic plaster carving: Formalizing subtractive detailing of plaster surfaces for construction and crafts. In Proceedings of the 41st International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) (Vol. 1, pp. 397–406). https://doi.org/10.52842/conf.ecaade.2023.1.397