Dr. Said Munir | Air Quality | Best Researcher Award

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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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🎓 Education

Dr. Said Munir holds a 🎓 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.

💼 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.

🔬 Research Interests

🌫️ Air Quality Monitoring & Impact Assessment

💻 Machine Learning in Environmental Science

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

🧪 Atmospheric Chemistry and Receptor Modelling

🛰️ Geospatial and Statistical Analysis (QGIS, R)

☀️ Climate Change, Drought Indices, and Environmental Policy

🏆 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.

📚 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

Ms. Florence Acha | Super hydrophobic Coatings | Best Researcher Award

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Ms. Florence Acha | Super hydrophobic Coatings | Best Researcher Award

University of Massachusetts Lowell, United States.

Florence Nkemamaka Acha is a dedicated researcher in polymer engineering, with expertise in biomaterials, nanotechnology, and composites. Currently pursuing a Ph.D. in Plastics Engineering at the University of Massachusetts, Lowell, she has an impressive academic track record and multiple research publications. Florence has significant teaching, research, and industrial experience, complemented by numerous leadership and volunteer roles. She has received several prestigious awards for her academic excellence and leadership contributions.

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Education 🎓

Florence Nkemamaka Acha is currently pursuing a Ph.D. in Plastics Engineering at the University of Massachusetts, Lowell, where she is working under the supervision of Prof. Joey Mead on developing PFAS-free superhydrophobic coatings for textile applications. She holds a Master of Engineering in Plastics Engineering with honors from the same institution, with an impressive GPA of 3.917/4.0, and is expected to complete her degree in February 2025. Florence earned her Bachelor of Engineering in Polymer and Textile Engineering with first-class honors from the Federal University of Technology, Owerri, Nigeria, in 2019, achieving a stellar GPA of 4.67/5.0. Her undergraduate thesis focused on evaluating the physical and end-use properties of alkyd paints using local materials as extenders. Prior to her university studies, she completed her secondary education at Elaihor Grammar School, Egweaholor-Isi, Edo State, Nigeria, in 2013.

Experience 💼

Florence Nkemamaka Acha has built a strong foundation in academic research and teaching through her roles at the University of Massachusetts, Lowell. She has been a Research Assistant since May 2023, working on innovative projects in plastics engineering, and served as a Graduate Teaching Assistant from August 2023 to August 2024, assisting in the delivery of key engineering courses.

In addition to her academic roles, Florence gained valuable industry experience during her production internship at Obino Industrial Company Limited in Nigeria. She also worked as a Research Assistant at Igwe Isaac Laboratory from 2019 to 2023 and as a Business Development Officer at Jimcol Resources Nig. Ltd., where she developed her business and technical expertise. This diverse experience equips her with both technical and leadership skills essential for addressing complex engineering challenges.

Research Interests 🤾‍♀️

Florence’s research focuses on:

Polymer Engineering

Polymer Science

Composites

Biomaterials

Material Science

Polymer Chemistry

Nanotechnology

Awards and Honors 🏆

Best Graduating Student Award, Polymer and Textile Engineering, FUTO (2019)

IBE MIT Alumni Award for Best Graduating Student, Polymer and Textile Engineering, FUTO (2019)

Educational Support Award, HillCity Foundation, Nigeria (2016-2019)

Delta State Bursary Scholarship, Delta State Bursary and Scholarship Board (2015-2019)

Award of Excellence for Service and Leadership, Holiness Campus Fellowship, FUTO (2019)

Publications Top Notes 📝

Scheff T.; Acha, F.; Diaz Armas N.; Mead J.L.; Zhang, J. (2024). Tuning Wetting Properties Through Surface Geometry in the Cassie-Baxter State. Biomimetics, 2025, 10, 20.

Isaac O. Igwe, Florence N. Acha, et al. (2021). Utilization of Granite Quarry Dust Extender in Formulating Anti-Corrosive Paints for the Protection of Steel. Australian Journal of Science and Technology, 5(3), 631-637.

Book Chapter: Florence N. Acha (2024). Cleaning of Paints. In: Isaac O. Igwe (ed.). The Science and Technology of Paints. Submitted for publication.

Isaac O. Igwe, Florence N. Acha, Christian O. Anyaegbu, et al. (2020). Formulation of Anti-Corrosive Alkyd Paints Based on Umuahia Clay Extender. SSRG International Journal of Polymer and Textile Engineering, 7(2), 25-30.

Ifeoluwa Sarah Fesojaye, Favour Dada, Florence N. Acha (2023). Innovative Applications of Nanomaterials in Semiconductor Manufacturing: Advancing Efficiency and Performance for Next-Generation Technologies.

 

 

Shaik Kiran | Renewable Energy | Excellence in Research

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🌟Dr. Shaik Kiran, Renewable Energy, Excellence in Research🏆

 Doctorate at SRI VENKATESWARA COLLEGE OF ENGINEERING (AUTONOMOUS), India

Dr. Shaik Rafi Kiran is a distinguished professor in the Department of Electrical and Electronics Engineering (EEE) at SVCE, Tirupathi. With a robust career spanning over 23 years, he is known for his significant contributions to research and academia, particularly in the fields of PV systems, fuel cell modeling, and hybrid electric vehicles. Dr. Kiran is also an active member of several professional organizations, including IEEE and ISTE, and serves as a recognized Ph.D. supervisor at J.N.T. University, Anantapur.

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Dr. Kiran has a substantial academic footprint with numerous publications in high-impact journals and conferences. He has published 35 documents and holds 9 patents. His work has garnered 775 citations, resulting in an h-index of 17, reflecting the quality and impact of his research contributions.

Education

Dr. Kiran earned his Ph.D. from J.N.T.U.A, Ananthapuramu in December 2014. He completed his M.Tech in Control Systems from J.N.T. University, Anantapur, graduating with a 75% distinction. He holds a B.E. in Electrical and Electronics Engineering from Bangalore University, where he achieved a 67% score. Prior to his engineering education, he completed his Intermediate studies with a 77% score and his S.S.C. with an 86% score.

Research Focus

Dr. Kiran’s research interests lie primarily in PV systems, fuel cell modeling, hybrid electric vehicles, soft computing, and optimization techniques. His work often involves designing and optimizing MPPT controllers for renewable energy systems, analyzing the performance of fuel cells in electric vehicles, and developing advanced algorithms for energy management and storage solutions.

Professional Journey

Dr. Kiran began his academic career as a lecturer and steadily advanced to his current position as a professor at SVCE, Tirupathi. His professional journey is marked by continuous learning and a commitment to excellence, reflected in his extensive teaching experience and active participation in professional organizations. He has been a professor at SVCE since April 11, 2016, where he continues to inspire and mentor students and colleagues.

Honors & Awards

Dr. Kiran has received several accolades for his research and professional achievements. Notably, he was honored with the Researcher Award from PARA Awards 2023, Pondicherry, and was recognized as an Emerging Leader in Engineering by the Venus International Foundation in 2018. These awards underscore his contributions to engineering education and research.

Publications Noted & Contributions

Dr. Kiran has authored numerous high-impact publications. Some notable ones include articles in Scientific Reports (Nature) and Elsevier’s Materials Today: Proceedings. His research often addresses innovative solutions for renewable energy systems, including the design of MPPT controllers and high step-up power converters for fuel cell applications. His publications reflect a strong focus on advancing technology in the energy sector.

Application of LoRa Network for Data Transmission in Intelligent Smart Grid Systems (2024)

DOI: 10.1007/978-981-99-7622-5_9 Contributors: K. Soham, V. Dhaval, C. Dhanamjayulu, Shaik Rafikiran, C. H. Hussaian Basha, V. Prashanth

Summary:

This book chapter discusses the application of Low Power Wide Area Network (LoRa) technology in smart grid systems. LoRa offers long-range communication with low power consumption, making it suitable for transmitting data in smart grid environments. The chapter details the integration of LoRa with intelligent systems to enhance data transmission efficiency, reliability, and overall grid performance.

A Novel Hybrid MPPT Controller for PEMFC Fed High Step-Up Single Switch DC-DC Converter (2024-03-12)

DOI: 10.1155/2024/9196747 Contributors: Shaik Rafikiran, C. H. Hussaian Basha, C. Dhanamjayulu, Youcef Belkhier

Summary:

This journal article presents a novel hybrid Maximum Power Point Tracking (MPPT) controller for Proton Exchange Membrane Fuel Cells (PEMFC) feeding a high step-up single switch DC-DC converter. The hybrid MPPT controller improves the efficiency of power conversion by optimizing the energy extraction from PEMFCs. The proposed system aims to address the challenges of high step-up voltage requirements in renewable energy applications.

Design and Analysis of Genetic Algorithm Optimization-Based ANFIS Controller for Interleaved DC-DC Converter-Fed PEMFC System (2023)

DOI: 10.1007/978-981-19-9225-4_1 Contributors: CH Hussaian Basha, Shaik. Rafikiran, M. Narule, G. Devadasu, B. Srinivasa Varma, S. Naikawadi, A. Kambire, H. B. Kolekar

Summary:

This book chapter explores the design and analysis of an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller optimized using a genetic algorithm for an interleaved DC-DC converter fed by a PEMFC system. The combination of ANFIS and genetic algorithms aims to enhance the control performance and efficiency of the power conversion system, providing a robust solution for managing PEMFC outputs.

IoT Application on Home Automation with Smart Meter (2023)

DOI: 10.1007/978-981-99-4577-1_43 Contributors: M. D. Sastika, Shaik. Rafikiran, K. Manaswi, C. Dhanamjayulu, CH Hussaian Basha, V. Prashanth

Summary:

This book chapter examines the application of Internet of Things (IoT) technology in home automation systems, focusing on smart meters. The integration of IoT with smart meters allows for real-time monitoring, data collection, and analysis of energy consumption. The chapter discusses the potential of these systems to optimize energy usage, reduce costs, and enhance the convenience and security of home environments.

Performance Analysis of Satellite Image Classification Using Deep Learning Neural Network (2023)

DOI: 10.1007/978-981-99-1431-9_3 Contributors: CH Hussaian Basha, J. Prajakta, V. Prashanth, Shaik Rafikiran, V. S. Patil, B. Srinivasa Varma, S. P. Shweta

Summary:

This book chapter focuses on the classification of satellite images using deep learning neural networks. The performance analysis involves evaluating different neural network architectures and training methods to improve classification accuracy. The study demonstrates the effectiveness of deep learning techniques in processing and analyzing satellite imagery, with applications in environmental monitoring, urban planning, and disaster management.

Relevance:

Each of these works contributes significantly to their respective fields. The application of LoRa in smart grids and IoT in home automation shows the integration of modern communication technologies in energy systems. The novel MPPT controllers and optimization techniques for PEMFC systems advance renewable energy technologies. Finally, the use of deep learning for satellite image classification highlights the impact of artificial intelligence in remote sensing and data analysis.

These contributions reflect ongoing efforts to innovate and improve efficiency, reliability, and functionality in various technological and scientific domains.

Research Timeline

Dr. Kiran’s research timeline showcases a consistent output of high-quality work. Since 2021, he has published several influential papers annually, contributing to advancements in renewable energy and electric vehicle technology. His recent work includes significant papers published in 2023 and 2024, emphasizing hybrid optimization MPPT controllers and high step-up power converters for fuel cell systems.

Collaborations and Projects

Throughout his career, Dr. Kiran has collaborated with various academic and research institutions. He has guided numerous M.Tech and B.Tech projects, with a focus on practical applications of his research in PV systems and fuel cells. He is currently guiding a Ph.D. scholar on a project related to power loss minimization in electrical distribution networks. Dr. Kiran’s collaborative projects often involve interdisciplinary approaches, combining expertise in electrical engineering, optimization techniques, and renewable energy systems.

Contributions to the Field

Dr. Kiran’s contributions to the field of electrical engineering are significant. His research has led to the development of innovative solutions for improving the efficiency and performance of renewable energy systems. His work on MPPT controllers and fuel cell modeling has been widely recognized and cited, influencing both academic research and practical applications in the energy sector. Through his publications, patents, and guided projects, Dr. Kiran continues to make impactful contributions to the advancement of sustainable energy technologies.