Ridwan Olalekan Olabiyi earned his bachelor's degree in agricultural and environmental engineering in 2019 from Obafemi Awolowo University, Nigeria, and his MBA in 2020 from Pan Atlantic University, Nigeria. Since 2021, he has been a PhD student in industrial engineering at Arizona State University, where he is developing Bayesian-inference and machine learning algorithms for inverse problems in additive manufacturing. His contributions have yielded five first-author papers, including one forthcoming in the ASME Journal of Heat and Mass Transfer. Long term, he will build a research lab that can predict (or actively optimize) additive manufacturing process parameters and microstructures during a build. He envisions using three lines of work to advance this objective: neural-operator surrogates for design; Bayesian inverse modeling for process calibration; and physics discovery under uncertainty. Olabiyi is vice president of the ASU INFORMS Student Chapter, and this summer, he is advising a visiting undergraduate student through the Summer Research Experience Program. He mentored four undergraduates on a capstone project that applied statistical quality-control methods to ASU-Salt River Project waste management workflows, resulting in the team's recommendations being adopted by campus operations. As a faculty member, he will establish a talent-development pipeline targeting underserved communities in Nigeria and across Africa, offering remote research internships that provide inquiry-based, hands-on experience. He also aims to coordinate an annual Data for Manufacturing hackathon.

Research Interests

Inverse Problems in Additive Manufacturing