Dr. Said Munir | Air Quality | Best Researcher Award

Dr. Said Munir | Air Quality | Best Researcher Award

National Center for Meteorology, Jeddah, Saudi Arabia.

Dr. Said Munir is a seasoned Air Quality and Meteorology Expert at the National Center for Meteorology in Jeddah, Saudi Arabia. With dual nationalities (British and Pakistani) and over 20 years of international experience, he has contributed significantly to the fields of air quality monitoring, emission modeling, atmospheric chemistry, and climate impact assessment. Known for his interdisciplinary research, Dr. Munir thrives in collaborative environments and utilizes machine learning, QGIS, and R to solve complex environmental problems. He has authored over 50 peer-reviewed publications and is recognized globally for his work in both academia and public policy.

Profile

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πŸŽ“ Education

Dr. Said Munir holds a πŸŽ“ Ph.D. in Air Quality and Transport Studies from the University of Leeds, UK (2009–2013), where he conducted pioneering research on the spatial-temporal analysis of traffic-related ground-level ozone ([Link to Thesis]). He previously earned a 🌬️ Master’s degree in Air Pollution Management and Control from the University of Birmingham, UK (2008–2009), focusing his dissertation on the impact of ozone on UK agriculture. Earlier, he completed a 🌍 Master’s in Natural Resources Management at the University of Greenwich, UK (1999–2000), where he assessed atmospheric pollutants using simple methodologies. Dr. Munir began his academic journey with a 🌾 B.Sc. (Hons) in Agriculture from the Agricultural University Peshawar, Pakistan (1995–1998), graduating with First Class Honours and an impressive GPA of 3.86/4.00. His multidisciplinary education reflects a deep commitment to understanding and managing environmental challenges at the intersection of air quality, transport, and agriculture.

πŸ’Ό Experience

Dr. Said Munir is currently serving as an Air Quality and Meteorology Expert at the National Center for Meteorology, Saudi Arabia (2024–Present), where he leads national-level projects on air quality and drought variability, employing advanced modeling techniques and machine learning. Prior to this, he was a Senior Research Fellow at the University of Leeds, UK (2021–2024), contributing to high-impact EU-funded projects such as nPETS and MODALES, focused on nanoparticle emissions, transport, and climate-health policy development. From 2017 to 2021, Dr. Munir worked as a Research Associate at the University of Sheffield, UK, where he managed urban air quality sensor networks, conducted high-resolution pollution mapping, and carried out source apportionment studies, playing a key role in advancing urban environmental monitoring systems.

πŸ”¬ Research Interests

🌫️ Air Quality Monitoring & Impact Assessment

πŸ’» Machine Learning in Environmental Science

🌍 Emission & Dispersion Modeling (ADMS-Urban, Airviro)

πŸ§ͺ Atmospheric Chemistry and Receptor Modelling

πŸ›°οΈ Geospatial and Statistical Analysis (QGIS, R)

β˜€οΈ Climate Change, Drought Indices, and Environmental Policy

πŸ† Awards & Grants

Multiple national and international research grants from EU and UK agencies.

Contributor to high-impact environmental policy frameworks in Saudi Arabia and the UK.

Recognized for advancing low-cost sensor technology and nanoparticle emission mitigation.

πŸ“š Selected Publications

Munir et al. (2025) – Drought variabilities in Saudi Arabia: Spatiotemporal trends – Earth Systems and Environment.
DOI: 10.1007/s41748-025-00570-w
Cited by: 2 articles

Munir et al. (2025) – PM2.5 Variability in Saudi Arabia – Atmosphere, 16, 463.
DOI: 10.3390/atmos16040463
Cited by: 4 articles

Munir et al. (2025) – Machine Learning & Source Apportionment in Saudi Arabia – Water, Soil and Air Pollution (Under Review)
Cited by: Awaiting peer review

Munir et al. (2025) – Urban Nanoparticle Emission Modeling – Atmosphere, 16(4), 417.
DOI: 10.3390/atmos16040417
Cited by: 1 article

Al-Hajji et al. (2025) – Dust Storm Climate Study in Riyadh – Int. J. of Environment and Climate Change, 15(3): 381-99.
DOI: 10.9734/ijecc/2025/v15i34780
Cited by: 3 articles

Mr. James Adolphus | Environmental Policy | Best Researcher Award

Mr. James Adolphus | Environmental Policy | Best Researcher Award

Lapin Yliopisto, Finland.

Adolphus James is a Junior Researcher at LUT Business School, Lappeenranta-Lahti University of Technology (LUT), Finland. He is currently pursuing a PhD in Business and Economics, focusing on institutional quality, sustainable development, inequality, and innovation. His work involves advanced econometric techniques and contributes to global research on sustainable transitions and institutional dynamics.

Profile

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πŸŽ“ Education

Adolphus is working towards a PhD in Business and Economics at LUT, with a research focus on Institutional Quality, Sustainable Development, and Innovation. His academic journey is centered on understanding the intersections of institutional dynamics and economic progress, particularly in the context of environmental sustainability and inequality.

πŸ’Ό Experience

Currently, Adolphus serves as a Junior Researcher at the LUT Business School within the Strategy and Accounting Group. His research addresses the role of institutional quality in clean energy investments, environmental degradation, and sustainable development, using advanced econometric methods such as MMQR and PGLS. He actively contributes to international studies on sustainable transitions, focusing on the institutional dynamics that shape them.

πŸ”¬ Research Interests

Adolphus' research interests encompass:

Institutional Economics and Development

Sustainable Energy and Environmental Economics

Inequality and Social Welfare Measurement

Quantile Regression and Panel Data Econometrics

These areas guide his ongoing work in understanding how institutional quality influences economic development, with a special focus on clean energy investments and environmental degradation.

πŸ“š Publication

James, A. (2025). The Effect of Institutions on Clean Energy Investments and Environmental Degradation across Income Groups: Evidence Based on the Method of Moments Quantile Estimation. To be published in: Energy.