Tshilidzi Marwala

Tshilidzi Marwala
Born	(1971-07-28) 28 July 1971 Duthuni, Venda, South Africa
Nationality	South African
Fields	Mechanical engineering, Computer science
Institutions	Imperial College of Science, Technology and Medicine University of Witwatersrand University of Johannesburg
Alma mater	Case Western Reserve University University of Pretoria University of Cambridge Harvard Business School
Thesis	Fault identification using neural networks and vibration data (2000)
Doctoral students	Fulufhelo Nelwamondo, Evan Hurwitz
Known for	Engineering, Artificial intelligence, Counterfactual thinking, pseudo-modal energies, bounded rationality, information asymmetry, efficient market hypothesis
Notable awards	Order of Mapungubwe
Spouse	Dr Jabulile Vuyiswa Manana (m. 2003 ; 3 children)
Website http://www.tshilidzimarwala.com/

Tshilidzi Marwala (OMB) born 28 July 1971 in Venda, Transvaal, South Africa is a Deputy Vice Chancellor at the University of Johannesburg.

Academic career

Marwala was previously a 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 DST/NRF South Africa Research Chair of Systems Engineering at the University of the Witwatersrand. He is a professor extraordinaire at the University of Pretoria, 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 Deputy Chair of Limpopo Business Support Agency and on boards of EOH (Pty) Ltd and City Power Johannesburg. He was a councillor of Statistics South Africa as well as the National Advisory Council on Innovation. He is a trustee of the Bradlow Foundation as well as the Carl and Emily Fuchs Foundation. He is the youngest recipient of the Order of Mapungubwe and was the first African Engineer to be awarded the President Award by the National Research Foundation of South Africa.

He holds a Bachelor of Science in Mechanical Engineering (Magna Cum Laude) from Case Western Reserve University, a Master of Engineering from the University of Pretoria, a PhD in Engineering from St John's College, Cambridge, successfully completed a Program for Leadership Development at Harvard Business School as well as training in accountancy and finance at the National University of Singapore. He was a post-doctoral research associate at the Imperial College of Science, Technology and Medicine and in year 2006 to 2007 was a visiting fellow at Harvard University. In the year 2007 to 2008, he has been appointed a visiting fellow of Wolfson College, Cambridge. He matriculated at Mbilwi Secondary School when he attended the 1989 London International Youth Science Forum and completed Sixth Form at St John's College.

He has supervised 45 masters and 19 PhD students to completion and has published over 300 papers in journals such as the American Institute of Aeronautics and Astronautics Journal, proceedings and book chapters, and has published 8 books. He is a fellow of TWAS, The World Academy of Sciences, Academy of Science of South Africa and African Academy of Sciences as well as a senior member of the IEEE and a distinguished member of the Association for Computing Machinery. His work has appeared in publications such as New Scientist, Time Magazine and The Economist.

Original contributions to scientific and industrial research

Marwala's research interests include the theory and application of computational 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, and the theory of flexibly bounded rationality. Marwala was a co-inventor of the innovative methods of radiation imaging and 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 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 intelligent there is in the market the less is the volume of trades in the market.

Marwala has also contributed to concepts such as the National Democratic Revolution and developmental state.

Patents

1. David Mark Starfield David Milton Rubin. Tshilidzi Marwala Method and Apparatus for Radiation Imaging. IPC8 Class: AG01T100FI USPC Class: 25036302 .

2. David Mark Starfield David Milton Rubin. Tshilidzi Marwala Coded Appertures Masks for Ration-Based Medical Imaging. WO 2008/14254

3. Megan J. Russell, David M. Rubin, B. Wigdorowitz and Tshilidzi Marwala. (PCT/IB2009/006125) An artificial larynx.

Books

1.

2.

3.

4.

5.

6.

7.

8.

9.

References

• T. Marwala. Fault classification using pseudo modal energies and neural networks. American Institute of Aeronautics and Astronautics Journal, 2003, 41(1), pp. 82–89.
• M. Lagazio and T. Marwala. Assessing different Bayesian neural network models for militarized interstate dispute. Social Science Computer Review, 2006, 24(1), pp. 119–131.
• 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.
• T. Marwala. The national democratic revolution, technology and a developed economy. Umrabulo, Vol. 22, 2005, pp. 58–60.
• T.N. Tim and T. Marwala. Computational Intelligence Methods for Risk Assessment of HIV. Proceedings of the International Federation of Medical and Biological Engineering, 2006, Vol. 14, pp. 3581–3585, Springer-Verlag, Berlin Heidelberg. Eds. Sun I. Kim and Tae Suk Sah, ISSN 1727-1983.
• T. Marwala and S. Chakraverty. Fault classification in structures with incomplete measured data using autoassociative neural networks and genetic algorithm. Current Science Journal, 2006, 90(4), pp. 542–548.

External links

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