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.

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๐ŸŽ“ Education

Dr. Said Munir holds a ๐ŸŽ“ Ph.D. in Air Quality and Transport Studies from the University of Leeds, UK (2009โ€“2013), where he conducted pioneering research on the spatial-temporal analysis of traffic-related ground-level ozone ([Link to Thesis]). He previously earned a ๐ŸŒฌ๏ธ Masterโ€™s degree in Air Pollution Management and Control from the University of Birmingham, UK (2008โ€“2009), focusing his dissertation on the impact of ozone on UK agriculture. Earlier, he completed a ๐ŸŒ Masterโ€™s in Natural Resources Management at the University of Greenwich, UK (1999โ€“2000), where he assessed atmospheric pollutants using simple methodologies. Dr. Munir began his academic journey with a ๐ŸŒพ B.Sc. (Hons) in Agriculture from the Agricultural University Peshawar, Pakistan (1995โ€“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.

๐Ÿ’ผ Experience

Dr. Said Munir is currently serving as an Air Quality and Meteorology Expert at the National Center for Meteorology, Saudi Arabia (2024โ€“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 (2021โ€“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.

๐Ÿ”ฌ Research Interests

๐ŸŒซ๏ธ Air Quality Monitoring & Impact Assessment

๐Ÿ’ป Machine Learning in Environmental Science

๐ŸŒ Emission & Dispersion Modeling (ADMS-Urban, Airviro)

๐Ÿงช Atmospheric Chemistry and Receptor Modelling

๐Ÿ›ฐ๏ธ Geospatial and Statistical Analysis (QGIS, R)

โ˜€๏ธ Climate Change, Drought Indices, and Environmental Policy

๐Ÿ† 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.

๐Ÿ“š Selected Publications

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

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

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

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

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

Mr. Jiandong Ma | Computer Science | Best Researcher Award

Mr. Jiandong Ma | Computer Science | Best Researcher Award

Chinese Academy of Sciences, China.

Jiandong Ma is a talented engineer specializing in signal and information processing, with expertise in FPGA development and network engineering. He is currently working on cutting-edge projects in the field of RDMA NIC and multipath SD-WAN, leading teams to achieve groundbreaking advancements in data transmission and network performance. With several patents to his name, Jiandong has demonstrated a strong commitment to innovation in network technologies. His contributions have positioned him as a promising figure in the area of network engineering.

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Education ๐ŸŽ“

Jiandong Ma completed his Ph.D. in Signal and Information Processing at the University of Chinese Academy of Sciences (UCAS), where he specialized in electronic, electrical, and communication engineering. His doctoral research was conducted under the National Network New Media Engineering Research Center at the Institute of Acoustics, CAS. His academic journey is characterized by his pursuit of innovative solutions in the field of network engineering, focusing on cutting-edge technologies such as RDMA NICs and network performance optimization.

Prior to his Ph.D., Jiandong earned his Bachelor's degree in Network Engineering from the University of Electronic Science and Technology of China (UESTC). As part of the Yingcai Honors College of UESTC, he demonstrated exceptional academic performance, ranking highly in his class. His undergraduate studies laid the foundation for his deep interest in signal processing and network systems, which would later drive his successful research career.

Experience ๐Ÿ› 

FPGA - Out-of-Order (OOO) RDMA NIC (Present)
Team Leader
Jiandong led a team to develop a high-speed RDMA NIC supporting out-of-order packets via Xilinx ERNIC IP, achieving improved WQE transmission performance under multipath scenarios. This innovation has been applied for patents.

FPGA - Packet Reordering and Deduplication System (Completed)
Team Leader
Developed a packet reordering and deduplication system for SD-WAN, reducing space usage by 20% and achieving a throughput of 100 Gbps. The project is patented.

FPGA - Deep Flow Table (Completed)
Developed an exact match table with millions of entries using DDR, implementing flexible entry space management and accelerating performance with on-chip table cache.

DPDK - DDoS Filter Unit and SDN Switch Multi-Core Performance Optimization (Completed)
Optimized SDN switch performance and developed a method to filter DDoS traffic through IP whitelists and TTL values. The innovation has been patented.


Research Interests ๐Ÿ”ฌ

Network Performance Optimization:
Jiandong Ma's primary research interest is in network performance optimization, where he has contributed significantly to the development of advanced solutions such as high-performance RDMA NICs. His work focuses on enhancing data transmission rates and reducing latency, particularly in complex network environments.

RDMA NIC Development:
One of Jiandong's notable innovations is the development of RDMA NICs that support out-of-order packets. This innovation improves WQE transmission performance in multipath scenarios, demonstrating his expertise in high-speed data transmission technologies.

Packet Reordering and Deduplication Systems:
Jiandong has also worked on developing packet reordering and deduplication systems, which are vital in improving the efficiency and throughput of SD-WAN networks. His solutions have led to reductions in space usage and higher data transmission speeds, addressing critical challenges in wide-area networking.

SDN Switch Performance Optimization:
Another key area of Jiandongโ€™s research involves the optimization of SDN switch performance. He focuses on multi-core performance optimization and DDoS traffic filtering through advanced methods like IP whitelists and TTL values, enhancing network security and reliability.

Flow Control and DDoS Traffic Filtering:
Jiandong is also passionate about designing solutions that improve flow control and network security. His work in DDoS traffic filtering aims to protect networks from malicious attacks while ensuring seamless data flow, making his contributions invaluable to the field of network management and security.

Publications ๐Ÿ“š

SSPRD: A Shared-Storage-Based Hardware Packet Reordering and Deduplication System for Multipath Transmission in Wide Area Networks - SCI, accepted

ORNIC: A High-Performance RDMA NIC with Out-of-Order Packet Direct Write Method for Multipath Transmission - SCI, accepted

 

 

Mr. Stephen Kabasa | Chemistry | Best Researcher Award

Mr. Stephen Kabasa | Chemistry | Best Researcher Award

Institute of Nuclear Chemistry and Technology, Poland.

Stephen Ochieng Kabasa is a highly skilled researcher and graduate from the University of Nairobi, with an MSc in Nuclear Science. He is currently pursuing his PhD at the Instytut Chemii I Techniki Jadrowej in Warsaw, Poland. Stephen has a strong background in nuclear science and radiation technologies, specializing in gaseous and wastewater treatment, and has actively contributed to multiple publications in his field. His research combines advanced laboratory techniques with practical applications for environmental protection, with a particular focus on the removal of emerging organic pollutants using radiation technologies.

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๐ŸŽ“ Education

Stephen Ochieng Kabasa earned his MSc. in Nuclear Science (2012-2016) from the University of Nairobi, Institute of Nuclear Science and Technology, where he focused on advanced radiation technologies for environmental applications. He also holds a Bachelor of Science (2006-2010) from Moi University, which laid the foundation for his expertise in nuclear science and environmental analysis. His academic background has equipped him with a solid understanding of radiation technologies, environmental protection, and analytical techniques.

๐Ÿ’ผ Experience

Stephen Ochieng Kabasa has diverse experience spanning research, teaching, and industry roles. As a PhD Graduate Researcher (2020-2024) at Instytut Chemii i Techniki Jadrowej, Poland, he focused on advanced oxidation processes for wastewater and gaseous pollutant treatment using ionizing radiation, employing cutting-edge equipment like GC-MS and HPLC. During his time as a Business Intelligence Officer (2019-2020) at BURN Manufacturing USA LLC in Kenya, he managed the after-sales network across East Africa and Somalia, providing valuable data insights. As an Assistant Sessional Lecturer (2017-2019) at Technical University of Kenya, he taught organic and inorganic chemistry and contributed to curriculum development. Stephen also held roles as an After Sales/Market Analytics Officer (2016-2018) at BURN Manufacturing USA LLC, where he optimized service station operations, and as a Graduate Research Assistant (2012-2016) at the Institute of Nuclear Science and Technology, University of Nairobi, focusing on environmental sample analysis using advanced radionuclide techniques.

๐Ÿ”ฌ Research Interests

โš›๏ธ Ionizing Radiation for Pollution Treatment

He specializes in applying ionizing radiation to degrade emerging organic pollutants, contributing to cleaner and safer ecosystems.

๐Ÿ”ฌ Advanced Analytical Techniques

Stephen utilizes advanced methods like gamma spectrometry, HPLC, LC-MS, and UV-Vis to assess the effectiveness of treatment processes and analyze pollutants.

๐ŸŒฑ Environmental Protection

His interdisciplinary approach seeks to advance sustainable solutions for environmental challenges, using radiation technologies to protect the environment from harmful contaminants.

๐Ÿ“š Publications

Kabasa, S., et al. (2024). Degradation of Hydroxychloroquine from Aqueous Solutions Under Fenton-Assisted Electron Beam Treatment Processes. Processes.ย Link

Kabasa, S., et al. (2024).Chloroquine Degradation in Aqueous Solution Under Electron Beam Irradiation.Nukleonika. Link

Kabasa, S., et al. (2024). Degradation of Hydroxychloroquine in Aqueous Solutions Under Electron Beam Treatment. Nukleonika. Link