Dr. Nii Longdon is a Computer Engineer and AI researcher with over 10 years experience in Education in Africa and Asia. He has taught students at all levels of the educational ladder. He has taught over 2500 students since he joined the University of Ghana.
Dr. Nii Longdon graduated with a Bsc. in Computer Engineering from the Kwame Nkrumah University of Science and Technology (KNUST). He then went on to pursue an MSc. and PhD. in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu China.
His research interests include artificial intelligence, robotics, and computer vision. He is a reviewer for the CBAS Science and Development Journal. He has authored and co-authored several papers.
Ansah, M. R., Ugo, H. C., Aboagye, I. A., Sowah, N. L., Osei, G., Balapangu, S. S., & Kwofie, S. K. (2024). Artificial Intelligence and Health in Africa: Opportunities, Challenges, and Ethical Considerations. Examining the Rapid Advance of Digital Technology in Africa, 103-123.
Aboagye, I. A., Owusu-Banahene, W., Amexo, K., Boakye-Yiadom, K. A., Sowah, R. A., & Sowah, N. L. (2021, November). Design and Development of Computer Vision-Based Driver Fatigue Detection and Alert System. In 2021 IEEE 8th International Conference on Adaptive Science and Technology (ICAST) (pp. 1-6). IEEE.
Sowah, N. L., Wu, Q., & Meng, F. (2018, January). A classification and clustering method for tracking multiple objects. In 2018 IEEE 8th annual computing and communication workshop and conference (CCWC) (pp. 537-544). IEEE.
Aboagye, I. A., Sowah, N. L., & Banahene, W. O. Implicit Optical Label Switching System for 1 Gb/s, 2 Gb/s and 5 Gb/s with Frequency-Swept Coherent Detection.
Tang, L., Meng, F., Wu, Q., Sowah, N. L., Tan, K., & Li, H. (2018). Salient object detection and segmentation via ultra-contrast. IEEE Access, 6, 14870-14883.