Imran Ahmad | Environmental Engineering | Best Researcher Award

Published on by Environmental Scientists

Assoc. Prof. Dr Imran Ahmad | Environmental Engineering | Best Researcher Award

Associate Professor, Woldia University, Ethiopia 

Dr. Imran Ahmad is an Associate Professor in the Department of Water Resources and Irrigation Engineering at Woldia University, Ethiopia. He holds a Ph.D. in Environmental Hydrology (GIS-Hydrology) from Tamil University, India. With over a decade of experience, his expertise spans Remote Sensing & GIS, Water Resources Management, Watershed Modeling, Engineering Hydrology, Ecology & Environment, and Environmental Monitoring. His ORCID ID is https://orcid.org/0000-002-5271-131X, and he is an active contributor to several high-impact journals. 🌍💧

Profile

Scopus

Education

Dr. Ahmad completed his Ph.D. in Environmental Hydrology (GIS-Hydrology) at Tamil University, India, from August 2009 to December 2013. His education laid the foundation for his contributions to various disciplines, including GIS, hydrology, and environmental science. 🎓📚

Experience

With 10 years of teaching and research experience at the associate professor level, Dr. Ahmad has taught a range of courses in water resources engineering and environmental science. His teaching includes subjects like Watershed Modeling, Groundwater Engineering, Water Quality, and Environmental Impact Assessment. His professional journey reflects his dedication to enhancing educational practices and research in water resources management. 👨‍🏫💡

Research Interests

Dr. Ahmad’s research interests focus on the application of Remote Sensing & GIS in water resources management, watershed modeling, and environmental monitoring. His work aims to improve the sustainability of water systems and enhance ecological management strategies using cutting-edge technologies. 🌿🔬

Awards

Dr. Ahmad has been honored with several prestigious recognitions throughout his academic career. Notably, he has been an invited speaker at international conferences and a guest editor for several scientific journals, including the Journal of Geophysics and Remote Sensing. 🏆🎙️

Publications Top Notes

Dr. Ahmad has authored numerous papers in SCI/SCOPUS indexed journals, with 51 journal articles and over 1500 citations. Some of his major publications include articles in high-impact journals such as Scientific Reports and Environmental Monitoring and Assessment. His research has contributed significantly to the understanding of hydrological and environmental processes.

Liu, T., Ahmad, I., Dar, M.A., et al. (2024). “Identification of hotspots and cold-spots of groundwater potential using spatial statistics,” Journal of Hydrology: Regional Studies, 56, 101977. Link

Kassahun, F.A., Kifelew, M.S., Ahmad, I., et al. (2024). “Effect of watershed characteristics on river flow for the case of two watersheds, Megech and Gumaro, Upper Blue Nile Basin, Ethiopia,” Applied Water Science, 14(3), 45. Link

Fenglin, W., Ahmad, I., Zelenakova, M., et al. (2023). “Exploratory regression modeling for flood susceptibility mapping in the GIS environment,” Scientific Reports, 13(1), 247. Link

Conclusion

Dr. Imran Ahmad’s extensive academic qualifications, research achievements, teaching experience, and editorial contributions make him a strong candidate for the Best Researcher Award. His continued dedication to improving water resources management and environmental sustainability, along with his consistent publication record, establishes him as a leading expert in his field. While there are opportunities for growth in expanding collaborative and interdisciplinary research, Dr. Ahmad’s work remains highly impactful and deserving of recognition for the Best Researcher Award.

Samuel Ojo | Environmental Engineering | Best Researcher Award

Published on by Environmental Scientists

Mr. Samuel Ojo | Environmental Engineering | Best Researcher Award

Graduate Research/Teaching Assistant at Case Western Reserve University, United States

Mr. Samuel Ojo is a Ph.D. candidate in Civil Engineering at Case Western Reserve University, focusing on sustainable infrastructure and innovative building materials. His research includes developing machine learning models for enhancing organic photocatalysts to improve indoor air quality and exploring bio-sensing wearables. With a B.Tech in Civil Engineering from Ladoke Akintola University of Technology (First Class, second best in his class), Samuel has significant professional experience in construction management and structural engineering. He has contributed to various high-profile projects, including multi-story building constructions and research on concrete strength improvement.

Profile

GOOGLE SCHOLAR

Education 🎓

Mr. Samuel Ojo is pursuing a Ph.D. in Civil Engineering at Case Western Reserve University, where he has demonstrated exceptional academic performance and research capabilities. He previously earned a B.Tech in Civil Engineering from Ladoke Akintola University of Technology, graduating as the second-best student in his class of 120, with a GPA of 4.54/5.00 (First Class).

Experience 💼

Mr. Ojo has extensive field experience in civil engineering, particularly in supervising large-scale construction projects. At FBS Construction Engineering Services, he played a vital role in constructing an eight-story hotel, managing concrete batching, structural interpretations, and reinforcement supervision. His previous roles further highlight his hands-on expertise in structural engineering and project management.

Research Interests 🔍

His research focuses on advancing sustainable infrastructure through innovative materials and methodologies. He applies machine learning models to enhance organic photocatalysts for air quality improvements and is actively exploring bio-sensing wearables. His interdisciplinary approach reflects a deep understanding of both traditional civil engineering principles and modern data-driven techniques.

Publications Top Notes 📚

Title: Optimizing Photodegradation Rate Prediction of Organic Contaminants: Models with Fine-Tuned Hyperparameters and SHAP Feature Analysis for Informed Decision Making

  • Authors: R.T. Schossler, S. Ojo, X.B. Yu
  • Journal: ACS ES&T Water
  • Year: 2023
  • Volume: 4
  • Issue: 3
  • Pages: 1131-1145
  • Citations: 3

Title: A Novel Interpretable Machine Learning Model Approach for the Prediction of TiO2 Photocatalytic Degradation of Air Contaminants

  • Authors: R.T. Schossler, S. Ojo, Z. Jiang, J. Hu, X. Yu
  • Journal: Scientific Reports
  • Year: 2024
  • Volume: 14
  • Issue: 1
  • Article ID: 13070
  • Citations: 1

Title: Ensembled Machine Learning Models for TiO2 Photocatalytic Degradation of Air Contaminants

  • Authors: R.T. Schossler, S. Ojo, Z. Jiang, J. Hu, X. Yu
  • Platform: Available at SSRN
  • Year: 2023
  • Article ID: 4435749
  • Citations: 1

Title: Innovative Antifungal Photocatalytic Paint for Improving Indoor Environment

  • Authors: S. Ojo, Y.H. Tsai, A.C.S. Samia, X. Yu
  • Journal: Catalysts
  • Year: 2024
  • Volume: 14
  • Issue: 11
  • Article ID: 783

Conclusion

Mr. Samuel Ojo’s outstanding academic record, innovative research contributions, and leadership activities position him as a deserving candidate for the Research for Best Researcher Award. His interdisciplinary approach to solving critical environmental and infrastructural challenges exemplifies the qualities of a leading researcher.