Ibrahim Balogun earned his bachelor’s (2015) and master’s (2019) degrees in civil and environmental engineering from the University of Lagos, Nigeria, and is a current PhD student in civil infrastructure systems engineering with a specialization in railway infrastructure systems at the University of Delaware, where he serves as a teaching and research assistant. He also studies with the University of Delaware’s Transportation Center, funded by the U.S. Department of Transportation, where he has developed a machine learning algorithm to control track geometry defects, investigated railroad collisions and derailments on major North American railway tracks, performed exploratory analysis on tracks, and prepared documents to facilitate funding. His research interests include machine learning and data analytics, transportation systems resilience, artificial intelligence for transportation, autonomous vehicles, and sustainable transportation systems. As a graduate student in Nigeria, he co-facilitated the construction of a software lab where complex civil engineering problems and simulations could be verified using state-of-the-art tools. He is a  member of ASCE, the American Railway Engineering and Maintenance-of-Way Association (AREMA), and the Institute of Transportation Engineers (ITE). Ibrahim’s career goal is to become a seasoned civil infrastructure researcher actively involved in ground-breaking discoveries. As a faculty member, he looks forward to mentoring the next generation of civil engineers, especially minority groups, while also contributing to the safety of the country’s railways.

Research Interests

Machine Learning Applications to Railroad Problems