Dr. Bhekisipho Twala
Associate ProfessorUniversity of Johannesburg, South Africa
Highest Degree
Ph.D. in Artificial Intelligence from Milton Keynes Univeristy, UK
Share this Profile
Highest Degree
Ph.D. in Artificial Intelligence from Milton Keynes Univeristy, UK
Share this Profile
Dr. Bhekisipho Twala is currently working as Director at Institute for Intelligent Systems, University of Johannesburg, Johannesburg, South Africa. He has completed his Ph.D. in Artificial Intelligence from Milton Keynes University, UK. Previously he was appointed as Advisor and Principal Research Scientist at Council of Scientific and Industrial Research, Manager at Statistics South Africa, Research Fellow at Brunel University, and Bournemouth University, Consultant at London Imperial College, and Research Assistant at Open University. He is having 20 years’ experience in putting Mathematics to Scientific use in the form of Data Comparison, Inference, Analysis, and presentation to Design, Collect, and interpret Data Experiments surrounding the fields of Transport, Medical, Artificial Intelligence, Software Engineering, and Robotics and most recently in Electrical and Electronic Science Engineering. He has track record of publications in workshops, conferences and journals and the ability to communicate scientific ideas to an informed lay audience. His intention is to continue exploring problems in various fields by applying artificial intelligence (machine learning) and statistical sciences and be committed to the highest levels of professional and personal excellence. He has published 25 research articles in journals, 78 refereed conference proceedings, and 5 book chapters contributed as author/co-author. He also supervised number of PhD, and Masters level students. He is professional member of Royal Statistical Society, Association of Computing Machinery (ACM), Chartered Institute of Transport South Africa (CITSA), Institute of Electrical and Electronics Engineers (IEEE), International Association of Engineers (IAENG), and South African Council for Automation and Control. His main area of research interest focuses on Image and Signal Processing, Intelligent Systems, Knowledge Discovery and Reasoning under Uncertainty, Sensor Data Fusion and Inference, and Theoretical and Applied Research in Machine Learning.