Data Science, Data Privacy, Quantum Information Science, Cybersecurity, Electronics
Makhamisa Senekane is a Senior Researcher in the Institute for Intelligent Systems at the University of Johannesburg. Prior to that, he worked as a Lecturer in the Department of Physics and Electronics at the National University of Lesotho, as a Senior Lecturer in the Faculty of Information and Communication Technology at Limkwokwing University of Creative Technology (Lesotho), and as a Lecturer in the Faculty of Computing at Botho University (Maseru Campus). He has obtained his PhD in Physics from the University of KwaZulu-Natal, his MSc.Eng in Electrical Engineering from the University of Cape Town, and his B.Eng in Electronics Engineering from the National University of Lesotho. His research interests include data science, data security, data privacy, artificial intelligence (machine learning and natural language processing), and quantum information processing (quantum cryptography, quantum computing, and quantum machine learning). He has recently published a book titled “Hands-On Quantum Information Processing with Python” with Packt Publishing.
Senekane, M., Mafu, M. and Petruccione, F., 2015. Six-state symmetric quantum key distribution protocol. Journal of Quantum Information Science, 5(02), p.33.
Senekane, M., Mafu, M. and Taele, B.M., 2017, September. Privacy-preserving quantum machine learning using differential privacy. In 2017 IEEE AFRICON (pp. 1432-1435). IEEE.
Senekane, M., 2019. Differentially private image classification using support vector machine and differential privacy. Machine Learning and Knowledge Extraction, 1(1), pp.483-491.