Mr. Adamu Abubakar Sani | Machine Learning | Best Researcher Award
Adamu Abubakar Sani at Universiti Teknologi PETRONAS, Malaysia
Profiles
Early Academic Pursuits
Mr. Adamu Abubakar Sani began his academic journey at Abubakar Tafawa Balewa University (ATBU), Bauchi, Nigeria, where he earned both his bachelor’s and master’s degrees in Building and Construction Technology. His early studies focused on the foundations of structural engineering and sustainable construction practices, setting the stage for his future contributions to the field. His passion for learning and innovation led him to pursue a PhD at Universiti Teknologi PETRONAS, Malaysia, where he is currently advancing his expertise as a Graduate Research Assistant.
Professional Endeavors
Before transitioning into academia, Mr. Adamu gained extensive experience in the construction industry, working on various high-impact projects. These roles provided him with practical insights into structural engineering and asset integrity management. As a Lecturer at ATBU, he bridges the gap between theoretical knowledge and industry practices, fostering a new generation of engineers. His collaborations with multidisciplinary teams have further solidified his professional reputation, both in Nigeria and internationally.
Contributions and Research Focus
Mr. Adamu’s research spans structural engineering, construction materials, and machine learning applications. His work includes developing advanced machine learning models, such as the Multi-Level Classification Model using Meta-Learner Ensemble (MLE) techniques, to detect corrosion defects in pipelines. Additionally, his studies on eco-friendly materials like corn cob ash, rice husk ash, and silica fume in concrete contribute to sustainable construction. Through systematic reviews and predictive models, Adamu has promoted innovations in smart infrastructure, including conductive asphalt for sustainable transportation.
Impact and Influence
Mr. Adamu’s research has had a tangible impact on engineering practices, particularly in pipeline maintenance optimization and sustainable construction. His predictive models have enhanced efficiency and reduced costs in pipeline maintenance. His exploration of eco-friendly materials has influenced sustainable construction methodologies, while his reviews of road infrastructure innovations have supported the development of smart and durable transportation systems.
Academic Cites
Mr. Adamu has published numerous articles in reputable journals, showcasing his dedication to advancing knowledge. His systematic literature reviews and scientometric analyses have provided valuable insights into emerging trends, particularly in sustainable and smart infrastructure. These contributions have earned him recognition within the academic community.
Technical Skills
Mr. Adamu is proficient in machine learning algorithms, predictive modeling, and data analysis, with expertise in software tools for structural and material analysis. His technical skills enable him to design innovative solutions, such as optimizing the compressive strength of high-performance concrete and evaluating the mechanical properties of eco-friendly materials.
Teaching Experience
As a Lecturer at ATBU, Adamu has inspired students through engaging lectures and practical demonstrations. He integrates his industry experience into his teaching, providing students with a comprehensive understanding of structural engineering and sustainable practices. His mentorship has cultivated critical thinking and problem-solving skills among his students.
Legacy and Future Contributions
Mr. Adamu aims to leave a legacy of innovation and sustainability in engineering. He envisions future contributions that include advancing smart infrastructure, promoting sustainable materials, and refining machine learning applications in asset management. His ongoing research aligns with global efforts to create resilient and eco-friendly engineering solutions.
By combining academic rigor, practical expertise, and a commitment to sustainability, Adamu Abubakar Sani continues to shape the future of structural engineering and construction technologies.
Publications
A Multi-level Classification Model for Corrosion defects in Oil and Gas Pipelines Using Meta-Learner Ensemble (MLE) Techniques
- Authors: Adamu Sani Abubakar, Mohamed Mubarak Abdul Wahab, Nasir Shafiq, Kamaludden Usman, Nasir Khan, Adamu Tafida, Arsalan Khan
- Journal: Journal of Pipeline Science and Engineering
- Year: 2024
A Review of Eco-Friendly Road Infrastructure Innovations for Sustainable Transportation
- Authors: Adamu Tafida, Wesam Salah Alaloul, Noor Amila Bt Wan Zawawi, Muhammad Ali Musarat, Adamu Sani Abubakar
- Journal: Infrastructures
- Year: 2024
Design and modeling the compressive strength of high-performance concrete with silica fume: a soft computing approach
- Authors: Abiola Usman Adebanjo, Nasir Shafiq, Siti Nooriza Abd Razak, Vicky Kumar, Syed Ahmad Farhan, Priyanka Singh, Adamu Sanni Abubakar
- Journal: Soft Computing
- Year: 2024
Systematic Literature Review and Scientometric Analysis on the Advancements in Electrically Conductive Asphalt Technology for Smart and Sustainable Pavements
- Authors: Arsalaan Khan Yousafzai, Muslich Hartadi Sutanto, Muhammad Imran Khan, Nura Shehu Aliyu Yaro, Abdullah O Baarimah, Nasir Khan, Abdul Muhaimin Memon, Adamu Sani Abubakar
- Journal: Transportation Research Record
- Year: 2024
Integrating Life Cycle Cost Analysis into Pipeline Asset Integrity Management: A Comprehensive Approach in Decision Support Systems
- Authors: Adamu Sani Abubakar, Mohamed Mubarak Bin Abdul Wahab, Nasir Shafiq, Kamaluddeen U Danyaro, Abiola Usman Adebanjo
- Journal: Journal of Hunan University Natural Sciences
- Year: 2024