Saeed Rasekhi | Environmental Science | Best Researcher Award

Saeed Rasekhi | Environmental Science | Best Researcher Award

Mr Saeed Rasekhi, Universidad de Valladolid, Spain

Based on Mr. Saeed Rasekhi’s extensive and diverse achievements, he appears to be a strong candidate for the Best Researcher Award.

Publication profile

google scholar

Research Expertise and Publications

Mr. Rasekhi has demonstrated considerable expertise in multiple areas of research. His Ph.D. research at Universidad de Valladolid focuses on Atmospheric Physics, showcasing his depth in analyzing urban heat islands and pollution. His publications in reputable journals like Sustainable Cities and Society and Urban Climate Journal highlight his contributions to environmental science and urban climate studies. The topics he addresses, such as urban heat islands and air pollution trends, reflect his ability to conduct impactful research with real-world applications.

Skills and Technological Proficiency

He possesses a robust set of skills in programming and data analysis with proficiency in tools like Python, Matlab, and various machine learning frameworks (PyTorch, Keras). His expertise extends to mathematical modeling, which is crucial for understanding complex systems in physics and engineering. His experience in utilizing advanced simulation and analysis tools like Aspen and PROOSIS further underscores his technical capabilities.

Educational Background

His educational background is solid, with a Ph.D. in Applied Physics and previous degrees in Physics and Civil Engineering. This diverse academic foundation equips him with a broad perspective and the ability to integrate knowledge across disciplines.

Teaching and Research Experience

Mr. Rasekhi’s teaching experience includes courses in Project Management and Computational Physics, demonstrating his ability to convey complex concepts. His involvement in research projects, particularly those funded by the European Union, and his role as a research assistant at the University of Valladolid, highlight his active engagement in advancing scientific knowledge.

Certificates and Professional Development

He has earned several certificates in relevant areas such as Deep Learning, Machine Learning, and Google Analytics, showcasing his commitment to continuous learning and staying current with technological advancements.

Conference Participation

His participation in international conferences and workshops, such as ECAS 2023 and the 7th Meeting on Planetary Sciences, indicates his active involvement in the global research community and his dedication to disseminating his work and learning from peers.

Conclusion

Overall, Mr. Saeed Rasekhi’s comprehensive research experience, technical skills, educational background, and active participation in the scientific community position him as a highly deserving candidate for the Best Researcher Award. His ability to contribute to and advance knowledge in environmental science, data analysis, and machine learning aligns well with the criteria for this accolade.

Publication top notes

The London pollution island under Lamb weather types

Trend and the Cycle of Fluctuations and Statistical Distribution of Temperature of Berlin, Germany, in the Period 1995–2012

Assessing the Trends of Three Main Air Pollutants in Tehran City Using Data from Sentinel-5

 

 

Niguse Hagazi | Environmental Science | Best Researcher Award

Niguse Hagazi | Environmental Science | Best Researcher Award

Mr Niguse Hagazi, World Agroforestry, ICRAF, /Friedrich-Alexander-University Erlangen-Nuremberg, Ethiopia

🌍 Niguse Hagazi is a leading researcher and Ethiopian Country Director at ICRAF Ethiopia, with a PhD candidacy at Friedrich-Alexander University Erlangen-Nuremberg, Germany. With over 15 years of experience in forestry, agroforestry, and natural resource management, Niguse has significantly contributed to Ethiopia’s environmental strategies, including the National Drylands Restoration Strategy. His expertise spans landscape restoration, climate-smart agriculture, and green job creation. He’s authored over 30 publications and actively engages in international conferences and professional societies. Niguse’s work focuses on sustainable development and conservation in urban-rural settings. 🌱📚

Publication profile

Orcid

Experience

Niguse Hagazi is a dedicated researcher at ICRAF Ethiopia Office and a PhD candidate at Friedrich-Alexander University Erlangen-Nuremberg, Germany. With over 15 years of experience, he leads as the Ethiopian Country Director, focusing on forestry, agroforestry, and natural resources management. Niguse plays a pivotal role in developing national strategies, such as the Ethiopian National Drylands Restoration Strategy, and in managing projects related to landscape restoration, green job creation, and climate-smart agriculture 🌍🌱. He’s also a trainer and consultant, providing expertise and capacity development to a wide range of stakeholders. His extensive publications span peer-reviewed journals, books, and manuals 📚🌿.

Academic Qualifications

Currently a PhD Candidate at the Institute of Geography, Friedrich-Alexander University (FAU) Erlangen-Nuremberg, Germany 🌍. Holds a Master’s degree in Tropical Land Resources Management from Mekelle University, Ethiopia (2008) 🌿. Completed a Bachelor of Science in Forestry Sciences at Wendo-Genet College of Forestry, Hawassa University (2002) 🌳. Passionate about sustainable land management and environmental conservation, with a solid academic background in forestry and tropical land resources. Dedicated to advancing knowledge and research in the field of geography and environmental sciences. 🌱📚

Research focus

The research focus of Niguse Hagazi and his team, including Mulat Kebede, Mulugeta Mokria, Emiru Birhane, Aster Gebrekirstos, and Achim Bräuning, revolves around biomass estimation in restored landscapes. Their 2023 study published in Environmental Research Communications explores methods for accurately estimating biomass of Acacia saligna trees. This research is crucial for understanding and managing ecological restoration efforts, enhancing carbon sequestration strategies, and assessing the effectiveness of reforestation projects. Their work contributes to sustainable land management and forest ecology, providing valuable insights into biomass dynamics in restored ecosystems. 🌳📊🌍

Publication top notes

Biomass estimation models for Acacia saligna trees in restored landscapes