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Tshilidzi Marwala (born 28 July 1971) is a South African mechanical engineer and computer scientist. He became professor at the University of the Witwatersrand in 2003 and also chairperson of System and Control Engineering in South Africa.

He is currently vice-chancellor and principal of the University of Johannesburg. He was previously the deputy vice chancellor for research and internationalization as well as the dean of engineering at the University of Johannesburg, a professor of electrical engineering, the Carl and Emily Fuchs Chair of Systems and Control Engineering as well as the SARChI Chair of Systems Engineering at the University of the Witwatersrand.

Early life and education

Tshilidzi Marwala was born at Duthuni Village in the Tshivhase region of the Limpopo Province on 28 July 1971. Marwala studied at the University of Cambridge for a PhD in artificial intelligence, after which he became a postdoctoral research associate at the University of London's Imperial College of Science, Technology and Medicine, where he worked on intelligence software. Marwala studied mechanical engineering at Case Western Reserve University, graduating with a Magna Cum Laude and obtained a master's degree in mechanical engineering at the University of Pretoria. He matriculated at Mbilwi Secondary School. In his matriculation year, Marwala won the National Youth Science Olympiad and represented South Africa in the London International Youth Science Fortnight. Marwala completed a post-matric programme at St.John's College in Johannesburg.

Career

Marwala was previously the deputy vice chancellor for research and internationalisation as well as the dean of engineering at the University of Johannesburg, a professor of electrical engineering, the Carl and Emily Fuchs Chair of Systems and Control Engineering as well as the SARChI Chair of Systems Engineering at the University of the Witwatersrand. He was the chair of the Local Loop Unbundling Committee as well as the non-executive director of the State Information Technology Agency (Pty) Ltd.

He has served as a trustee of the Nelson Mandela Foundation and on boards of Nedbank, International University Sports Federation, EOH (Pty) Ltd, Denel and City Power Johannesburg. He was a councillor of Statistics South Africa as well as the National Advisory Council on Innovation. He has served as a trustee of the Bradlow Foundation and the Carl and Emily Fuchs Foundation. He is the recipient of the Order of Mapungubwe and his doctoral student Fulufhelo Nelwamondo also received this order. He was the first African engineer to be awarded the President Award by the National Research Foundation of South Africa.

One of the books he co-authored on modelling interstate conflict has been translated into Chinese by the National Defense Industry Press. His work and opinion have appeared in media such as New Scientist, Time, The Economist, CNN, and BBC. He has also given talks at Rhodes House, Royal Society, Cambridge Union, Harvard's Berkman Klein Center for Internet & Society and Oxford Union. In 2016 Tshilidzi Marwala delivered the Bernard Price Memorial Lecture in South Africa. With Stephen Hawking and Guy Laliberté he was a judge of the YouTube Space Lab competition.

Academic contributions and research

Marwala's research interests include the theory and application of artificial intelligence to engineering, computer science, finance, economics, social science and medicine. Marwala has made fundamental contributions to engineering science including the development of the concept of pseudo-modal energies, proposing the theory of rational counterfactual thinking, rational opportunity cost and the theory of flexibly bounded rationality. Marwala was a co-inventor of the innovative methods of radiation imaging and with Megan Jill Russell as well as David Rubin the artificial larynx. Marwala also observed that the applicability of prospect theory depends on how much artificial intelligence is used to make a decision. He also observed that the more artificial intelligence is used for decision making the more efficient the markets become. For example, if all decisions are made by artificially intelligent machines then the markets will be fully rational. Marwala together with Israeli researcher Daniel Muller mathematically solved the St. Peterburg paradox through the use of the concept of the relative net utility.

Marwala together with Evan Hurwitz proposed that there is less level of information asymmetry between two artificial intelligent agents than between two human agents and that the more artificial intelligence there is in the market the less is the volume of trades in the market. With Evan Hurwitz, Marwala was the first researcher to build software agents that are able to bluff on playing a game of poker. Tshilidzi Marwala and Evan Hurwitz in their book applied Lewis turning point theory to study the transition of the economy into automated production and identified an equilibrium point (Lewis turning point) where it does not make economic sense to move human labor to automated machines.

Tshilidzi Marwala and Evan Hurwitz in their book observed that the advent of intelligent online buying platforms such as Amazon and technologies such as flexible manufacturing offers the opportunity for individualized supply and demand curves to be produced. They observed that these reduce the degree of arbitrage in the market, permit for individualized pricing for the same product and brings fairness and efficiency into the market. Furthermore, with Evan Hurwitz in their book they observed that decision making and predicting machines that are executed using artificial intelligence and other machine learning techniques reduce the biases and variances of the errors on decision making and thus make decisions in a closer manner to the conclusions of rational expectations theory than human decision makers. Marwala and Bo Xing have also studied the relationship between blockchain and artificial intelligence. In his response to Bill Gates, Marwala has also brought to the attention of the difficulty of taxing robots given the fact that a great deal of the devices that we use have robotics features.

Marwala has also worked extensively with the United Nations through agencies such as UNESCO, UNIDO, WHO, ITU, UNICEF, and WIPO.

Visiting appointments

In year 2006 to 2007 he was a visiting fellow at Harvard University and in the year 2007 to 2008, he was a visiting fellow of Wolfson College, Cambridge. In 2009 he was a visiting scholar at the University of California, Berkeley Center for Studies in Higher Education. He is an honorary professor at the Nanjing Tech University as well as the Central South University in The People's Republic of China.

Awards and honors

Marwala has received numerous awards and honors including winning the National Youth Science Olympiad and because of this he attended the 1989 London International Youth Science Forum, the Order of Mapungubwe, Case Western Reserve University Professional Achievement Award, The Champion of Research Capacity Development and Transformation at SA Higher Education Institutions, NSTF Award, Harvard-South Africa Fellowship, TWAS-AAS-Microsoft Award, and ACM Distinguished Member Award.

Publications

Patents

• David Mark Starfield, David Milton Rubin and Tshilidzi Marwala. Method and Apparatus for Radiation Imaging. IPC8 Class: AG01T100FI USPC Class: 25036302.
• David Mark Starfield, David Milton Rubin and Tshilidzi Marwala. Coded Appertures Masks for Ration-Based Medical Imaging. WO 2008/14254
• Megan J. Russell, David M. Rubin, B. Wigdorowitz and Tshilidzi Marwala. (PCT/IB2009/006125) An artificial larynx.
• Tshilidzi Marwala, Dipanjan Paul and Satyakama Paul. (WO2019224739A1) System and method for real time prediction of water level and hazard level of a dam.
• Tshilidzi Marwala, Rendani Mbuvha. (South African Provisional Patent 2018/06344) A system and method for imputing missing data in a dataset, a method and system for determining a health condition of a person, and a method and system of calculating an insurance premium.

Books

• Tshilidzi Marwala (2009). Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques. Pennsylvania: IGI Global. ISBN 9781605663364.
• Tshilidzi Marwala (2010). Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics. Heidelberg: Springer. ISBN 978-1-84996-322-0.
• Tshilidzi Marwala; Monica Lagazio (2011). Militarized Conflict Modeling Using Computational Intelligence. Heidelberg: Springer. ISBN 978-0-85729-789-1.
• Tshilidzi Marwala (2012). Condition Monitoring Using Computational Intelligence Methods. Heidelberg: Springer. ISBN 978-1-4471-2380-4.
• Tshilidzi Marwala (2013). Economic Modeling Using Artificial Intelligence Methods. Heidelberg: Springer. ISBN 978-1-84996-323-7.
• Tshilidzi Marwala (2014). Artificial Intelligence Techniques for Rational Decision Making. Heidelberg: Springer. ISBN 978-3-319-11423-1.
• Tshilidzi Marwala (2015). Causality, Correlation, and Artificial Intelligence for Rational Decision Making. Singapore: World Scientific. ISBN 978-9-814-63086-3.
• Tshilidzi Marwala; Ilyes Boulkaibet; Sondipon Adhikari (2016). Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering. London: John Wiley & Sons. ISBN 978-1-119-15303-0.
• D. Zhang; Tshilidzi Marwala; M. Balas; J. Kim, eds. (2016). International Conference on Artificial Intelligence and Robotics (ICAIR 2016) and 2016 International Conference on Automation, Control and Robotics Engineering (CACRE 2016) Kitakyushu; Japan; 1. ACM International Conference Proceeding Series, Volume 13-15-July-2016.
• Tshilidzi Marwala; Evan Hurwitz (2017). Artificial Intelligence and Economic Theory: Skynet in the Market. London: Springer. ISBN 978-3-319-66104-9.
• Bo Xing; Tshilidzi Marwala (2018). Smart Maintenance for Human–Robot Interaction: An Intelligent Search Algorithmic Perspective. London: Springer. ISBN 978-3-319-67480-3.
• Bo Xing; Tshilidzi Marwala (2018). Smart Computing in Crowdfunding. London: CRC Press. ISBN 978-1-138-57771-8.
• Tshilidzi Marwala (2018). Handbook of Machine Learning Volume 1: Foundation of Artificial Intelligence. Singapore: World Scientific Publishing. ISBN 978-981-3271-22-7.
• Tshilidzi Marwala; Collins Achepsah Leke (2019). Handbook of Machine Learning Volume 2: Optimization and Decision Making. Singapore: World Scientific Publishing. ISBN 978-981-120-566-8.
• Collins Achepsah Leke; Tshilidzi Marwala (2019). Deep Learning and Missing Data in Engineering Systems: Applications to Engineering Systems. London: Springer. ISBN 978-3030011796.
• Fernando Buarque de Lima Neto; Nicky Roberts; Tshilidzi Marwala; Mpho Nemasetoni (2019). MY FIRST A.I. BOOK – Artificial Intelligence and Learning. USA: Amazon Digital Services LLC. ISBN 978-1513654249.
• Doorsamy Wesley; Sena Paul; Tshilidzi Marwala (2020). The Disruptive Fourth Industrial Revolution. London: Springer. ISBN 978-3-030-48230-5.
• Tankiso Moloi; Tshilidzi Marwala (2020). Artificial Intelligence in Economics and Finance Theories. London: Springer. ISBN 978-3-030-42961-4.
• Tshilidzi Marwala (2020). Closing the Gap: The Fourth Industrial Revolution in Africa. Johannesburg: Macmillan. ISBN 978-1-77010-786-1.
• Tshilidzi Marwala (2021). Rational Machines and Artificial Intelligence. Amsterdam: Academic Press. ISBN 9780128206768.
• Bhaso Ndzendze; Tshilidzi Marwala (2021). Artificial Intelligence and Emerging Technologies in International Relations. Singapore: World Scientific Publishing. ISBN 978-981-123-454-5.
• Tshilidzi Marwala (2021). Leading in the 21st Century: The Call for a New Type of African Leader. Johannesburg: Tracey McDonald Publishers. ISBN 978-1-77626-083-6.
• Tshilidzi Marwala (2021). Leadership Lessons from Books I Read. Johannesburg: Tracey McDonald Publishers. ISBN 9781776260928.
• Tankiso Moloi; Tshilidzi Marwala (2021). Artificial Intelligence and the Changing Nature of Corporations. London: Springer. ISBN 978-3-030-76313-8.
• Daniel Muller; Fernando Buarque; Tshilidzi Marwala (2022). On Rationality, Artificial Intelligence and Economics. Singapore: World Scientific. ISBN 978-981-125-511-3.

Journal articles

• Tshilidzi Marwala (2003). "Fault classification using pseudo modal energies and neural networks". American Institute of Aeronautics and Astronautics Journal. 41 (1): 82–89. Bibcode:2003AIAAJ..41...82M. doi:10.2514/2.1916.
• Tshilidzi Marwala; M. Lagazio (2006). "Assessing different Bayesian neural network models for militarized interstate dispute". Social Science Computer Review. 24 (1): 119–131. doi:10.1177/0894439305281512. S2CID 62709888.
• D. Lunga, T. Marwala. Online forecasting of stock market movement direction using the improved incremental algorithm. Lecture Notes in Computer Science, In Neural Information Processing, Springer Berlin / Heidelberg, Volume 4234, 2006, pp. 440–449.
• Tshilidzi Marwala (2005). "The national democratic revolution, technology and a developed economy". Umrabulo. 22: 58–60.
• Tshilidzi Marwala; T.N. Tim (2006). Sun I. Kim; Tae Suk Sah (eds.). "Computational Intelligence Methods for Risk Assessment of HIV. Proceedings of the International Federation of Medical and Biological Engineering". Ifmbe Proceedings. 14. Berlin Heidelberg: Springer-Verlag: 3581–3585. ISSN 1727-1983..
• Tshilidzi Marwala; S. Chakraverty (2006). "Fault classification in structures with incomplete measured data using autoassociative neural networks and genetic algorithm". Current Science. 90 (4): 542–548.

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External links

• Biography
• Website
• Entry in Who's Who of Southern Africa

• 1971 births
• Living people
• People from Thulamela Local Municipality
• Alumni of St John's College, Cambridge
• Case Western Reserve University alumni
• University of Pretoria alumni
• Senior Members of the IEEE
• University of South Africa alumni
• Science and technology in South Africa
• University of Pretoria faculty
• University of Johannesburg academics
• Alumni of St John's College, Johannesburg
• Vice-Chancellors of University of Johannesburg
• South African engineers
• South African inventors
• South African scientists
• South African computer scientists
• 21st-century inventors