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
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, TX – ResearchGate
🔗 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