Biography
Julius Yaw Ludu received his Bachelor of Science Degree in Computer Science and Statistics (Combined Major) and his Master of Engineering in Computer Engineering in 2014 from the University of Ghana. He is currently a PH.D candidate at the Department of Computer Science. His research interest is in the area of propagation modeling for Wireless Communication Systems, Heterogeneous Networks, and Cyber Security. He also consults for most OEMs and IT firms. He is a certified CCNA instructor and has received an IBM Certified Application Security Engineer Mastery Award in 2017. He is also an IBM Certified Academic Associate for DB2.
List of Publications
Books and monographs
- 2022
Children against antibiotics misuse and antimicrobial resistance: assessing effectiveness of storytelling and picture drawing as public engagement approaches
Appiah, B., Anum-Hagin, D., Gyansa-Luterrodt, M., Samman, E., Agyeman, F., Appiah, G., Odonkor, G., Ludu, J. Y., Osafo, J., & Rene, A. (2021). Children against antibiotics misuse and antimicrobial resistance: assessing effectiveness of storytelling and picture drawing as public engagement approaches. Wellcome Open Research, 6, 202. https://doi.org/10.12688/wellcomeopenres.16543.2
Journal Articles
- 2022
A Classical LTE Cellular System Simulator for Computer Network Education
Julius Yaw Ludu, Justice Kwame Appati, Ebenezer Owusu, Prince Boakye-Sekyerehene, "A Classical LTE Cellular System Simulator for Computer Network Education", Modelling and Simulation in Engineering, vol. 2021, Article ID 9806333,10 pages, 2021. https://doi.org/10.1155/2021/9806333
Computer-Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine
Ebenezer Owusu, Prince Boakye-Sekyerehene, Justice Kwame Appati, Julius Yaw Ludu, "Computer-Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine", Computational Intelligence and Neuroscience, vol. 2021,Article ID 3152618, 12 pages, 2021. https://doi.org/10.1155/2021/3152618
Evaluation of Data Imbalance Algorithms on the Prediction of Credit Card Fraud
Otoo, G., Appati, J. K., Yaokumah, W., Soli, M. A., Nwolley, S. J., & Ludu, J. Y. (2021). Evaluation of Data Imbalance Algorithms on the Prediction of Credit Card Fraud. International Journal of Intelligent Information Technologies (IJIIT), 17(4), 1-26. http://doi.org/10.4018/IJIIT.289967
