Professor Gabriel Kabanda
Professor Gabriel Kabanda is the Most Notable and Top Distinguished Full Professor of Computer Science, Information Systems, Cybersecurity, AI/Machine Learning and Big Data Science [UNESCO/International Chartered World Learned Society]; Professor & Head of Doctoral Programmes; and the International Senior Technical Advisor. He has published more than 130 research publications in internationally refereed sources. Gabriel is the Vice President of the Zimbabwe Academy of Sciences (ZAS) and former Pro Vice Chancellor (Research, Innovation and Enterprise Development) of the Zimbabwe Open University where he spent 13 years in the Senior Management position; an Adjunct Professor of Machine Learning at Woxsen University, Hyderabad, India; Professor of Applied Business Informatics at the University of Zimbabwe Business School for 24 years; Adjunct Professor of Cybersecurity at California State University, Chico (USA); and Professor of Big Data Science at NUST, Zimbabwe. Prof Kabanda is the Fellow of the African Scientific Institute (USA); Secretary General of the Africa-Asia Dialogue Network; Member of the African Scientific Research and Innovation Counci (ASRIC) of the African Union; Board of Trustees of Crown University Intl. Chartered Inc. (USA); Editor of the Journal for Signal and Information Processing (USA); Vice Chairman of the Advisory Board of IT Governance & Cybersecurity Institute (ITGCSI) (New York); an International External Examiner of various Universities; and an Advisor on ICT and STEM education to the Global STEM Leadership Alliance (GSLA), California. He holds a Post-Doctorate of Science, Doctor of Science (D.Sc.) degree in Computer Science from Atlantic International University (USA), a Ph.D. degree in Computer Science (California, PWU, USA), Master of Science in Computer Science (Swansea University, UK), and B.Sc. in Mathematics and Physics (University of Zimbabwe). His international awards include “Most Notable and Top Distinguished Professor of the 21st Century” from the International Chartered World Learned Society” (http://charteredworldlearned.org/) and Fellowship Award on 17th May, 2021; an international award on Outstanding Contributions to Education, the Golden Academic Excellence and Professional Achievement award in 2013 in Malaysia at the World Marketing Summit; and the world-wide honour of Who’s Who of Professionals in 1997.
Phone: +27-761-938005
Address: Graduate School of Business & Leadership
University of KwaZulu-Natal (UKZN), Westville, Durban 4000, SOUTH AFRICA
Phone: +27-761-938005
Address: Graduate School of Business & Leadership
University of KwaZulu-Natal (UKZN), Westville, Durban 4000, SOUTH AFRICA
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Papers by Professor Gabriel Kabanda
content creation and natural language comprehension, with large
language models (LLMs) and AI generating original content in
various modalities, such as text, photos, audio, and videos. Machine
Learning (ML) with a hypothesis-based, goal-oriented approach
called Reinforcement Learning (RL) that accomplishes long-term
objectives through leveraging interactions with the environment.
This study aims to establish the Reinforcement Learning (RL)
paradigm for GenAI applications in business, using Python to
implement RL Q-Learning and the Asynchronous Advantage Actor-
Critic (A3C) algorithms. The pragmatism-based study used a
positivist, quantitative approach to identify the RL paradigm for
GenAI business applications, and was also explanatory,
exploratory, and descriptive. An analysis of GenAI's business
applications was done using the 370-person sample size of the study
population comprising staff members and clients of five commercial
banks in Zimbabwe. The A3C algorithm was found to be simpler
and perform better in the Deep Reinforcement Learning (DRL) task.
The A3C algorithm, which is premised on Q-Learning in DRL, can
be used to combat cybersecurity risks. Because Generative AI can
automate tasks that take 60–70% of an employee's time, it has the
potential to dramatically improve the global economy, especially in
the banking, high-tech, and life sciences sectors.
content creation and natural language comprehension, with large
language models (LLMs) and AI generating original content in
various modalities, such as text, photos, audio, and videos. Machine
Learning (ML) with a hypothesis-based, goal-oriented approach
called Reinforcement Learning (RL) that accomplishes long-term
objectives through leveraging interactions with the environment.
This study aims to establish the Reinforcement Learning (RL)
paradigm for GenAI applications in business, using Python to
implement RL Q-Learning and the Asynchronous Advantage Actor-
Critic (A3C) algorithms. The pragmatism-based study used a
positivist, quantitative approach to identify the RL paradigm for
GenAI business applications, and was also explanatory,
exploratory, and descriptive. An analysis of GenAI's business
applications was done using the 370-person sample size of the study
population comprising staff members and clients of five commercial
banks in Zimbabwe. The A3C algorithm was found to be simpler
and perform better in the Deep Reinforcement Learning (DRL) task.
The A3C algorithm, which is premised on Q-Learning in DRL, can
be used to combat cybersecurity risks. Because Generative AI can
automate tasks that take 60–70% of an employee's time, it has the
potential to dramatically improve the global economy, especially in
the banking, high-tech, and life sciences sectors.
Business by Professor Muhammad Yunus (Yunus, 2010), with a focus on the new idea, theory and
practice of social business. Social business is defined as “A non-dividend company that is created to
address and solve a social problem“. He introduced rules by which his clients would pay him back in
weekly increments without interest. Through a multi-dimensional world-view, capitalism can begin
to include space for social business. A social business combines commercial and social goals. The
investors desire no personal gain and so establish the investment purely to achieve one or more
social objectives. Grameen Bank has since grown as a nationwide bank which serves over 8 million
borrowers, most of whom are women. Yunus argues that social businesses are more beneficial than
mere charity organizations because charity encourages dependence among those being served,
whilst social businesses put those being served in the position of being an active participant in the
economy. He contends that poverty is not created by poor people but it is created by the system of
built institutions. The philanthropy side of social business makes sense and logically very convincing.
Its feasible to do both conventional business and social business. Traditional capitalism is viewed as
seeing individuals as one-dimensional beings that are only out for personal gain, which in the world
of economics results in making highest profit possible. Social businesses must be self-sustaining and
its owners must remain committed to never take any dividend beyond the return of investment.
However, a social enterprise combines commercial and social goals, but with emphasis on the latter
Algorithms form the heart of Computer Science in general. An algorithm is simply a set of steps to accomplish or complete a task that is described precisely enough that a computer can run it. It is a sequence of unambiguous instructions for solving a problem, and is used for obtaining a required output for any legitimate input in a finite amount of time. Algorithms can be considered as procedural solutions to problems where the focus is on correctness and efficiency.
The important problem types are sorting, searching, string processing, graph problems, combinatorial problems, geometric problems, and numerical problems.
An algorithm is any well-defined computational procedure that takes some value or sets of values as input and produces some values or sets of values as output. A Turing machine consists of a finite program, called the finite control, capable of manipulating a linear list of cells, called the tape, using one access pointer, called the head. Cellular automata is an array of finite state machines (inter-related).
A universal Turing machine U is a Turing machine that can imitate the behavior of any other Turing machine T. Automata are a particularly simple, but useful, model of computation which were were initially proposed as a simple model for the behavior of neurons. A model of computation is a mathematical abstraction of computers which is used by computer scientists to perform a rigorous study of computation. An automaton with a finite number of states is called a Finite Automaton (FA) or Finite State Machine (FSM).
The Church-Turing Thesis states that the Turing machine is equivalent in computational ability to any general mathematical device for computation, including digital computers. The important themes in Theoretical Computer Science (TCS) are efficiency, impossibility results, approximation, central role of randomness, and reductions (NP-completeness and other intractability results).