Our team was awarded by DOT to establish a $30M Regional University Transportation Center (UTC).
Bipin Saha
PhD Student
ACCESS Laboratory
Department of Electrical and Computer Engineering
North Carolina A&T State University Greensboro, NC, 27411
Email: ttmengistu@aggies.ncat.edu
Sensor Fusion and Scene Understanding for an Autonomous Vehicle
Sensing and Perception
Computer Vision
Machine Learning and Deep Learning
Tekalign Tesfaye received his Bachelor of Science in Electrical and Computer Engineering from Hawassa University, Ethiopia, in 2010. He later received his Master of Science in Mechatronics Engineering from the University of Trento, Italy, in 2017. In 2023, he joined the North Carolina A&T State University to pursue his Ph.D. degree. His research interests include “Perception for Autonomous Vehicles,” “Sensor Fusion,” and “Machine Learning. He is a member of the Autonomous Cooperative Control of Emergent Systems of Systems (ACCESS) Lab.
M.Sc., Mechatronics Engineering, University of Trento, Italy, 2017.
B.Sc., Electrical and Computer Engineering, Hawassa University, Ethiopia, 2010
M. T. Tesfaye, M. Nardello and D. Brunelli, "Residential electrical consumption disaggregation on a single low-cost meter," 2017 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems (EESMS), Milan, Italy, 2017, pp. 1-6, doi: 10.1109/EESMS.2017.8052678.
Y. Mekonnen Abebe, H. Kassa Bayu, T. Tesfaye Mengistu, A. Tullu and S. Jung, "Secondary Hybrid Decomposition Strategy for Wind Power Prediction Using Long Short-Term Memory With Crisscross Optimization," in IEEE Access, vol. 13, pp. 142186-142202, 2025, doi: 10.1109/ACCESS.2025.3597646.