Lincoln Student Wins Best Undergraduate Poster Award at the 2023 Data Science Symposium organized by the University of Delaware’s Data Science Institute
On Friday September 22, three Lincoln University students, Iteoluwa Ibitoye, Mitchel Igolimah and Feranmi Adepoju presented their summer research work at the 2023 Data Science Symposium, hosted at the University of Delaware. The students conducted their research with guidance from LU faculty members Prof. Abel Ayele, Dr. Dejene Dedefa, and Dr. Christine Limb, respectively. Other LU participants at the symposium include Dr. Claude Tameze, who participated in a panel, and Dr. Zachary Carson.
In addition to her poster presentation, Iteoluwa Ibitoye, a junior and double major in Mathematics and Computer Science programs, was selected to give a lightening talk and won the Best Poster award in the undergraduate posters category for her research: “Data Alignment Techniques in Railway Track Inspection: A Comparative Study.” In this research, Iteoluwa analyzed spatially misaligned railway track geometry data from three inspection runs using Cross-Correlation, Dynamic Time Warping (DTW), and Recurrent Neural Network (RNN) algorithms. Comparing the result of these analyses, cross-correlation was identified as the best performing algorithm for this kind of data, with a minimum lag distance. Iteoluwa’s research was supervised by Prof. Abel Ayele.
All three students’ summer research was funded by the Delaware and Mid-Atlantic DS corps grant, a NSF grant obtained in 2021 by the above-mentioned Lincoln faculty in collaboration with faculty from University of Delaware and Delaware State University. During the panel discussion, Dr. Tameze, LU’s Co-PI, talked about the importance of equitable educational and employment opportunities in data science.
