Daniel Akerele | sustainable materials | Best Researcher Award

Mr. Daniel Akerele | sustainable materials | Best Researcher Award

Research Assistant, University of Washington, United States 

Daniel D. Akerele is a dedicated researcher and civil engineer with expertise in construction materials, sustainability, and AI-driven optimization. As a PhD candidate at the University of Washington, he specializes in rapid-set materials for concrete pavement repair. With a strong academic background and diverse work experience, he has contributed to infrastructure development, sustainability initiatives, and AI applications in construction. His leadership roles in competitions and professional organizations highlight his commitment to advancing the field. An active mentor, reviewer, and instructor, Daniel is passionate about bridging research and practical solutions in the built environment.

Profile

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Education 🎓

Daniel D. Akerele is currently a PhD candidate in Construction Management at the University of Washington, focusing on sustainable and AI-driven material innovations for concrete pavement repair. He holds an MSc in Civil Engineering (Water Resources & Environmental Engineering) from the University of Ibadan, Nigeria, and a BTech in Civil Engineering from Ladoke Akintola University of Technology. Additionally, he earned a Graduate Certificate in Construction Project Management from Columbia University. His academic journey is marked by excellence, leadership in competitions, and a commitment to advancing sustainable construction practices.

Experience 🏗️

Daniel has extensive experience in academia and industry, currently serving as a Predoctoral Teaching Associate at the University of Washington. He has worked as a Research Assistant, conducting experimental studies on rapid-set materials, AI-driven optimization, and sustainability in construction. His industry roles include Project Engineer at Turner Construction, Construction/Design Manager at Sustainable Procurement Services Limited, and Site Engineer at Arbico PLC. He has managed large-scale projects, optimized material procurement using AI, and contributed to sustainability initiatives in the built environment.

Research Interest 🔬

Daniel’s research focuses on sustainable construction materials, AI-driven material science, and infrastructure durability. His work explores the development of rapid-set concrete mixes, carbon footprint reduction in construction, and material performance evaluation. He is passionate about integrating AI, machine learning, and computational modeling to optimize construction materials and improve industry sustainability. His research aligns with real-world applications, ensuring innovative and practical solutions for modern construction challenges.

Awards 🏆

Daniel has been recognized for his academic excellence and contributions to construction research. He is a recipient of the College of Built Environment’s Top Scholar Award, Nellis’ Endowment Fellowship, and the PNWCMAA Student Scholarship Award (2024). His leadership in student competitions and professional organizations further demonstrates his commitment to innovation and education in the construction industry.

Publications 📚

Evaluating the Impact of CO₂ on Calcium Sulphoaluminate (CSA) Concrete (2024) – Buildings
🔗 DOI: 10.3390/buildings14082462

Construction and Demolition Waste Reduction in Austin, TXResearchGate
🔗 Publication Link

Assessment of the Physicochemical Parameters of Borehole Water (2023) – J Sen Net Data Comm
🔗 Publication Link

A Review of Saltwater Intrusion in Coastal Regions of Lagos (2024) – Journal of Geoscience and Environment Protection
🔗 DOI: 10.4236/gep.2024.1210007

Effect of Geotextiles on Lime-Stabilized Lateritic Soils (2023) – IJERT
🔗 Publication Link

Solving Lime Stabilization Issues Using Woven Geotextiles Under Unsoaked Condition (Preprint)
🔗 DOI: 10.21203/rs.3.rs-2918379/v1

Conclusion

Daniel D. Akerele is a highly qualified candidate for the Best Researcher Award, with significant contributions to sustainable construction practices, material optimization, and AI integration in civil engineering. His research not only addresses immediate construction industry needs but also ensures long-term environmental sustainability. Despite opportunities for expanding his recognition and interdisciplinary engagement, his extensive achievements, both in research and teaching, position him as a deserving nominee for the award.

 

Mr. Kiyoon Kim | Sustainable Materials | Best Researcher Award

Mr. Kiyoon Kim | Sustainable Materials | Best Researcher Award

Mr. Kiyoon Kim, Department of Ocean Integrated Science, College of Fisheries & Ocean Science, Chonnam National University, Republic of Korea, South Korea

🌊 Ki Yoon Kim is a researcher in the Department of Ocean Integrated Science at Chonnam National University, Republic of Korea. His expertise focuses on marine microplastic distribution and environmental quality parameters. His work contributes significantly to understanding microplastic pollution and its impact on marine ecosystems, combining rigorous field sampling with advanced statistical analysis.

Profile

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The paper “Microplastic Distribution Characteristics Considering the Marine Environment Based on Surface Seawater Quality Parameters in Southern Sea of Korea, 2019” by Mr. Ki Yoon Kim, Yasuhiro Ishibashi, and Hyeon Seo Cho demonstrates a significant contribution to the field of marine science and microplastic research. Here’s an evaluation based on the strengths and areas for improvement, along with a conclusion:

Strengths for the Award 💪🏆✨

Comprehensive Analysis:

The study covers a broad range of water quality parameters, including water temperature, salinity, pH, dissolved oxygen, suspended particulate matter, and chlorophyll-a. This comprehensive approach helps in understanding the relationship between these parameters and microplastic distribution.

Methodological Rigor:

The use of advanced statistical methods such as principal component analysis (PCA) and cluster analysis to categorize and analyze the data adds robustness to the research. These methods allow for a nuanced understanding of microplastic distribution across different areas.

Detailed Data Collection:

The paper describes a well-defined methodology for collecting and analyzing microplastic samples, including the use of a neuston net with a specific mesh size and a flow meter for quantification. The detailed process for analyzing water quality parameters and microplastics ensures reliability and accuracy.

Identification of Key Findings:

The study provides valuable insights into the predominance of polystyrene as a microplastic type and the variations in particle size across different groups. Identifying fragment and sheet shapes as the dominant types is crucial for understanding the environmental impact.

Contribution to Baseline Data:

By focusing on the Southern Sea of Korea, the study adds valuable baseline data for future research on microplastic distribution in this region. The findings can help inform future monitoring and mitigation strategies.

Areas for Improvement 🚀📈🔧

Seasonal and Temporal Variability:

The study is based on data collected at a single time point (September 2019). Including data from multiple seasons or years could provide a more comprehensive understanding of temporal variability in microplastic distribution.

External Influences:

The paper mentions the need to investigate the influence of external factors such as the Yangtze River and the Tsushima warm current. Addressing these factors could enhance the understanding of how external water masses affect microplastic distribution.

Statistical Significance:

While the study presents median values and statistical analyses, it could benefit from additional statistical tests to further validate the findings and address any potential biases or confounding variables.

Broader Implications:

The paper could expand on the broader ecological and human health implications of the findings. For example, discussing the potential impact of identified microplastic types and sizes on marine life and human health could provide more context for the results.

Comparative Analysis:

Including a comparison with other regions or previous studies could provide additional insights into whether the observed microplastic distributions are unique to the Southern Sea of Korea or consistent with global trends.

Education

🎓 Mr. Kim completed his academic studies at the Chonnam National University in South Korea, where he developed a strong foundation in ocean science and environmental analysis.

Experience

🔬 Mr. Kim’s professional journey includes his current role at the Department of Ocean Integrated Science, College of Fisheries & Ocean Science, Chonnam National University. His research work primarily involves analyzing microplastic distributions and their implications on marine water quality. He has collaborated with various institutions to advance the understanding of environmental pollution and its effects on marine life.

Research Interest

🔍 Mr. Kim’s research interests revolve around the distribution and characteristics of microplastics in marine environments. He focuses on analyzing surface seawater quality parameters and their correlation with microplastic abundance. His work aims to enhance the knowledge of how microplastics interact with marine ecosystems and to develop strategies for better environmental management.

Awards

🏆 Mr. Kim has been recognized for his contributions to marine science, particularly in the area of microplastic research. His work has been well-received in the academic community, reflecting his commitment to advancing environmental science.

Publication Top Notes

Overall, the paper is a strong candidate for the “Best Researcher Award” due to its rigorous methodology, comprehensive data analysis, and contribution to baseline knowledge in the field of microplastic research. The study’s strengths lie in its detailed examination of water quality parameters and microplastic characteristics, which provide valuable insights for future research. Addressing the identified areas for improvement, such as incorporating seasonal data and exploring external influences, could further enhance the research’s impact and relevance.