View Profile

Prof Bhekisipho Twala

Deputy Vice-Chancellor (Digital Transformation) · Tshwane University of Technology

https://researchid.co/bhekisiphot
@tut.ac.za
198Scopus Publications
8398Google Scholar Citations
41Google Scholar h-index
120Google Scholar i10-index

Research Interests

Applied & Theoretical Machine Learning Artificial Intelligence & Statistical Science Big Data Analytics & Data Science Image & Signal Processing Knowledge Discovery & Reasoning Under Uncertainty

Biography

Bhekisipho Twala is the deputy vice-chancellor for digital transformation and professor of artificial intelligence and data science at the Tshwane University of Technology in South Africa. Before then he was the Executive Dean of Engineering and Built Environment at the Durban University of Technology (DUT), South Africa. Before joining DUT, he was the Director of the School of Engineering at the University of South Africa and the founder of the Institute for Intelligent Systems at the University of Johannesburg, South Africa. He completed his PhD at the Open University (UK) in 2005. He was a post-doctoral researcher at Brunel University in the UK, mainly focussing on applying machine learning in software engineering. Prof Twala’s current research includes promoting and conducting research in Artificial Intelligence within the Big Data Analytics field and developing novel and innovative solutions to crucial research problems.

Education

BA (Economics & Statistics) Post Graduate Certificate (Statistics) MSc (Statistics) PhD (Artificial Intelligence & Statistical Science)

Recent Scopus Publications

  1. Retraction Note: Unleashing the power of advanced technologies for revolutionary medical imaging: pioneering the healthcare frontier with artificial intelligence (Discover Artificial Intelligence, (2024), 4, 1, (58), 10.1007/s44163-024-00161-0)
    Discover Artificial Intelligence, 2026
  2. Correction: Digitalization of Supply Chain Management with Industry 4.0 Enabling Technologies: A Sustainable Perspective (Processes, (2022), 11, 1, (96), 10.3390/pr11010096)
    Processes, 2026
  3. Digital and Financial Literacy for Uplifting Women and Achieving Sustainable Development Goals
    F1000research, 2026
  4. Optimized predictive modelling for highway traffic flow using real world data
    Scientific African, 2026
  5. Exploring the relationship between macroeconomic indicators and sectoral indices of Indian stock market
    F1000research, 2025

Links