Tag: ArcGIS

Mr. Joel Mubiru | Decision-making and Problem-solving | Excellence in Leadership and Management Award

Published on by Leadership and Management

Mr. Joel Mubiru | Decision-making and Problem-solving | Excellence in Leadership and Management Award

 

University of Birmingham | United Kingdom

Dr. Mubiru Joel is an accomplished civil engineer and academic with over a decade of experience in road safety engineering, transport planning, and construction management. Currently pursuing a Ph.D. in Civil Engineering in the United Kingdom, his research focuses on quantifying the risk impact of contextual factors on pedestrian crash outcomes in data-scarce developing country settings. He holds an MSc in Infrastructure Planning from Universität Stuttgart, Germany, and a BEng in Civil and Building Engineering from Kyambogo University, Uganda. Throughout his career, he has contributed to major infrastructure projects across urban and rural areas, specializing in road safety audits, transport planning, and project supervision. As an Assistant Lecturer at Kyambogo University, he supervised numerous undergraduate and postgraduate research projects, emphasizing sustainable infrastructure and traffic safety innovations. His technical proficiency spans AutoCAD, ArcGIS, and MS Project, complemented by strong leadership in construction site management and health and safety compliance. With a record of excellence in both academia and professional practice, Dr. Mubiru’s work bridges engineering research and field implementation, aiming to enhance pedestrian safety and transport efficiency in developing regions. His ongoing research and international collaborations continue to advance sustainable mobility and infrastructure resilience.

Profile:  ORCID

Featured Publications

Mubiru, J., & Evdorides, H. (2025, October 22). Quantifying the risk impact of contextual factors on pedestrian crash outcomes in data-scarce developing country settings. Future Transportation, 5(4), Article 151.

Mr. Luis Martin Pomares | Resource Assessment| Best Researcher Award

Published on by Leadership and Management

Mr. Luis Martin Pomares | Resource Assessment| Best Researcher Award

Dubai Electricity and Water Authority (DEWA) | United Arab Emirates

Luis Martín-Pomares is a leading expert in solar energy with extensive experience in solar resource assessment, remote sensing, and solar forecasting. He has held positions as Principal Scientist at the Dubai Electricity and Water Authority (DEWA) and as a Scientist at the Qatar Foundation’s QEERI, contributing to the development of regional solar atlases and advanced predictive models for photovoltaic and concentrated solar power plants. As President and Senior Project Developer at Investigaciones y Recursos Solares Avanzados S.L. (IrSOLaV), he led multi-disciplinary teams in the design and implementation of multi-MW solar projects worldwide, integrating satellite-derived irradiance data, statistical downscaling models, and deep learning for solar forecasting. His research encompasses solar irradiance estimation from geostationary and polar satellites, nowcasting systems, energy audits, and GIS-based solar resource mapping. Luis actively participates in international collaborations including the International Energy Agency (IEA) Solar Heating and Cooling tasks, COST Action 1002, and the FP7 DNIcast project. He is also a reviewer for journals such as Solar Energy, Journal of Solar Energy Engineering, and Atmospheric Measurement Techniques. His work has advanced predictive solar modeling and operational strategies for renewable energy integration, establishing him as a key contributor to the global solar energy community.

Profile: Google Scholar 

Featured Publications

Martín, L., Zarzalejo, L. F., Polo, J., Navarro, A., Marchante, R., & Cony, M. (2010). Prediction of global solar irradiance based on time series analysis: Application to solar thermal power plants energy production planning. Solar Energy, 84(10), 1772–1781.

Perez, R., Lorenz, E., Pelland, S., Beauharnois, M., Van Knowe, G., et al. (2013). Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe. Solar Energy, 94, 305–326.

Polo, J., Wilbert, S., Ruiz-Arias, J. A., Meyer, R., Gueymard, C., Suri, M., … (2016). Preliminary survey on site-adaptation techniques for satellite-derived and reanalysis solar radiation datasets. Solar Energy, 132, 25–37.

Espinar, B., Ramírez, L., Drews, A., Beyer, H. G., Zarzalejo, L. F., Polo, J., & Martín, L. (2009). Analysis of different comparison parameters applied to solar radiation data from satellite and German radiometric stations. Solar Energy, 83(1), 118–125.

Lorenz, E., Remund, J., Müller, S. C., Traunmüller, W., Steinmaurer, G., Pozo, D., … (2009). Benchmarking of different approaches to forecast solar irradiance. Proceedings of the 24th European Photovoltaic Solar Energy Conference, 21–25.

Jahangiri, M., Shamsabadi, A. A., Mostafaeipour, A., Rezaei, M., Yousefi, Y., … (2020). Using fuzzy MCDM technique to find the best location in Qatar for exploiting wind and solar energy to generate hydrogen and electricity. International Journal of Hydrogen Energy, 45(27), 13862–13875.

Assoc. Prof. Dr. Belete Berhanu | Innovative Leadership | Best Researcher Award

Published on by Leadership and Management

Assoc. Prof. Dr. Belete Berhanu | Innovative Leadership | Best Researcher Award

Addis Ababa University | Ethiopia

Associate Professor Belete Berhanu is a distinguished water resources engineer with extensive expertise in hydrology, watershed management, and integrated water resources management. He earned his Ph.D. in Water Resources Engineering and Management with a specialization in Surface Water Hydrology from Addis Ababa University, following an M.Tech in Hydrology from IIT Roorkee, India, and a B.Sc. in Agricultural Engineering from Alemaya University of Agriculture. With over a decade of academic and research experience, he has contributed significantly to flood forecasting, climate-smart agriculture, and hydrological modeling, collaborating with international institutions including FAO, IWMI, IHE Delft, University of Maryland, USC, and FIU. His research interests encompass hydrological modeling, remote sensing applications, decision support systems, water accounting, and sustainable water management in the context of the Nile Basin and African watersheds. He is an active member of professional organizations such as the Ethiopian Water Professional Association and the Environmentalist for Development Association. Professor Berhanu has led several high-impact projects, including flood forecasting systems, climate-resilient water management, and the integration of hydrological models with remote sensing data. His work demonstrates a strong commitment to advancing water resource science and capacity-building, making him a leading candidate for recognition in research excellence and innovation.

Profile:  Google Scholar

Featured Publications

Berhanu, B., Seleshi, Y., & Melesse, A. M. (2014). Surface water and groundwater resources of Ethiopia: Potentials and challenges of water resources development. In Nile River Basin: Ecohydrological challenges, climate change and … (p. 259).

Berhanu, B., Melesse, A. M., & Seleshi, Y. (2013). GIS-based hydrological zones and soil geo-database of Ethiopia. Catena, 104, 21–31.

Berhanu, B., Seleshi, Y., Demisse, S. S., & Melesse, A. M. (2015). Flow regime classification and hydrological characterization: A case study of Ethiopian rivers. Water, 7(6), 3149–3165.

Mamo, S., Berhanu, B., & Melesse, A. M. (2019). Historical flood events and hydrological extremes in Ethiopia. In Extreme hydrology and climate variability (pp. 379–384).

Berhanu, E. B. B. (2018). Identification of surface water storing sites using topographic wetness index (TWI) and normalized difference vegetation index (NDVI). Journal of Natural Resources and Development, 8, 91–100.