Mr. Ahmed Gueye | Air quality | Excellence in Scientific Innovation Award

Student at Cheikh Anta Diop University of Dakar, Senegal

Ahmed Gueye is an emerging scientific researcher and educator in the field of environmental physics and smart instrumentation. With a strong background in electronics, data assimilation, and IoT-based air quality monitoring, he has contributed significantly to the intersection of climate science, renewable energy, and intelligent systems. His academic pursuits and professional roles have positioned him as a promising figure addressing pressing environmental issues in Senegal and across West Africa.

Profile

ORCID

Education:

Ahmed Gueye is currently pursuing a PhD in Physical Measurements, Control, and Regulation Systems at Cheikh Anta Diop University of Dakar. His doctoral work focuses on enhancing forecasting models of PM2.5 and PM10 levels in Dakar using innovative methodologies that combine the Internet of Things (IoT), data assimilation techniques, and neural networks. He holds a Master’s degree in Electronics, Systems, and Telecommunication from the same university, where he specialized in Physical Measurements and Control Systems and graduated with high honors. His undergraduate education was rooted in physics, chemistry, and material science, having successfully completed successive years of study in this field at Cheikh Anta Diop University.

Experience:

Mr. Gueye’s academic and industry experience spans teaching, research, and applied technology implementation. He has served as a teacher at multiple institutions, including the University of Sine Saloum El-Hadji Ibrahima Niass, Dakar Polytechnic Institute Thomas Sanghara, and Cheikh Anta Diop University, where he taught subjects such as automation, electronics, electromagnetic wave propagation, and home automation. He worked as a Design Engineer at the Atmospheric Physics and Ocean Laboratory Simeon Fongang (LPAO-SF), where he developed communication systems for meteorological observation networks. Professionally, he has also contributed to industrial maintenance and surveillance system projects at SEDIMA GROUP and Vigitec. Most notably, he served as a Lead Field Assistant for the Development Impact Evaluation (DIME) unit of the World Bank, reinforcing his experience in development-focused field research.

Research Interest:

His primary research interests lie at the crossroads of environmental monitoring, data science, and smart systems. He is particularly driven by projects that utilize low-cost IoT devices and data assimilation techniques to enhance the predictive accuracy of air pollution models. Additionally, his work spans solar and wind energy performance evaluation, meteorological instrumentation, and geographic information systems. He consistently explores the use of machine learning to address nonlinear dynamics and improve environmental forecasts, with a strong emphasis on local applicability in the Sahel region and sub-Saharan Africa.

Awards:

Ahmed Gueye has earned several academic and research achievements. Notably, he led the design of measurement platforms applied to energy and pollution, including both fixed and mobile stations for air quality assessment. He developed meteorological stations and air quality prediction models using data assimilation and artificial intelligence techniques. These innovations earned him recognition in multiple academic conferences and have been acknowledged in international collaborations. His participation in international workshops and seminars has further affirmed his role in advancing air quality and renewable energy research in Africa.

Publications:

Ahmed Gueye has co-authored numerous peer-reviewed publications, focusing on environmental monitoring and renewable energy. Key works include:

1. “PM2.5 Hotspot Identification in Dakar area: An Innovative IoT and Mapping-Based Approach for Effective Air Quality Management”, IEEE ICSIMA, 2023 – Cited by emerging research in sensor-based pollution control.

2. “Enhancing PM2.5 Predictions in Dakar Through Automated Data Integration into a Data Assimilation Model”, Aerosol Science and Engineering, 2024 – Cited for machine learning applications in environmental science.

3. “Analysis of Wind Resources in Senegal using ERA5 Reanalysis”, Scientific African, 2024 – Referenced in studies on wind energy potential.

4. “Analysis and Simulation of Solar Power Plants in Senegal”, Modeling Earth Systems and Environment, 2023 – Applied in renewable energy modeling.

5. “A Low-Cost IoT-Based Real-Time Pollution Monitoring System using ESP8266 NodeMCU”, Measurement + Control, 2024 – Cited by real-time IoT monitoring system development.

6. “On the Characterization of Cloud Occurrence and its Impact on Solar Radiation in Mbour, Senegal”, Journal of Atmospheric and Solar-Terrestrial Physics, 2024 – Referenced for solar radiation impact analysis.

7. “Enhancing Solar Energy Production with Solar Trackers in Africa”, Springer Proceedings in Energy, 2024 – Recognized in sustainable engineering research.

Conclusion:

Ahmed Gueye stands out as a dedicated academic and researcher who blends rigorous scientific methodology with practical application to solve environmental and energy-related challenges. His work in air quality forecasting, renewable energy optimization, and IoT-enabled smart systems reflects both technical expertise and a commitment to sustainable development. His active publication record, teaching contributions, and recognition at international forums underscore his suitability for prestigious award recognition in scientific research and innovation. He continues to embody the principles of interdisciplinary collaboration, community impact, and future-oriented research.