Tshilidzi Marwala

Tshilidzi Marwala holds a Chair of Systems Engineering at the School of Electrical and Information Engineering at the University of the Witwatersrand. He is the youngest recipient of the Order of Mapungubwe (whose other recipients are Nobel Prize Winners Sydney Brenner and J.M. Coetzee) and was awarded the President Award by the National Research Foundation. 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, PhD in Engineering from University of Cambridge (St John's College) and attended a Program for Leadership Development at Harvard Business School. 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. His research interests include theory and application of computational intelligence to engineering, computer science, finance, social science and medicine. He has published over 150 papers in journals, proceedings and book chapters and has supervised 30 master and PhD theses. His book Computational Intelligence for Modelling Complex Systems is published by Research India Publications. He is the Associate Editor of the International Journal of Systems Science. His work has appeared in publications such as the New Scientist and Time Magazine. He was a Chair of the Local Loop Unbundling Committee, is a Deputy Chair of the Limpopo Business Support Agency and has been on boards of EOH (Pty) Ltd, City Power (Pty) Ltd, State Information Technology Agency (Pty) Ltd, Statistics South Africa and 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 a Senior Member of the IEEE and a member of the ACM.

Publications

Computational Intelligence in Used Products Retrieval and Reproduction
Computational Intelligence in Used Products Retrieval and Reproduction
Wen-Jing Gao, Bo Xing, Tshilidzi Marwala. © 2015. 43 pages.
Remanufacturing has become a superior option for product recovery management system. It mainly consists of three stages: retrieval, reproduction, and redistribution. So far, many...
A New Approach for Suggesting Takeover Targets Based on Computational Intelligence and Information Retrieval Methods: A Case Study from the Indian Software Industry
A New Approach for Suggesting Takeover Targets Based on Computational Intelligence and Information Retrieval Methods: A Case Study from the Indian Software Industry
Satyakama Paul, Andreas Janecek, Fernando Buarque de Lima Neto, Tshilidzi Marwala. © 2014. 19 pages.
In recent years researchers in financial management have shown considerable interest in predicting future takeover target companies in merger and acquisition (M&A) scenarios....
Computational Intelligence in Used Products Retrieval and Reproduction
Computational Intelligence in Used Products Retrieval and Reproduction
Wen-Jing Gao, Bo Xing, Tshilidzi Marwala. © 2013. 47 pages.
Remanufacturing has become a superior option for product recovery management system. It mainly consists of three stages: retrieval, reproduction, and redistribution. So far, many...
Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques
Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques
Tshilidzi Marwala. © 2009. 326 pages.
The issue of missing data imputation has been extensively explored in information engineering, though needing a new focus and approach in research. Computational Intelligence for...
Introduction to Missing Data
Introduction to Missing Data
Tshilidzi Marwala. © 2009. 18 pages.
In this chapter, the traditional missing data imputation issues such as missing data patterns and mechanisms are described. Attention is paid to the best models to deal with...
Estimation of Missing Data Using Neural Networks and Genetic Algorithms
Estimation of Missing Data Using Neural Networks and Genetic Algorithms
Tshilidzi Marwala. © 2009. 26 pages.
Missing data creates various problems in analyzing and processing data in databases. In this chapter, a method aimed at approximating missing data in a database that uses a...
A Hybrid Approach to Missing Data: Bayesian Neural Networks, Principal Component Analysis and Genetic Algorithms
A Hybrid Approach to Missing Data: Bayesian Neural Networks, Principal Component Analysis and Genetic Algorithms
Tshilidzi Marwala. © 2009. 26 pages.
The problem of missing data in databases has recently been dealt with through the use computational intelligence. The hybrid of auto-associative neural networks and genetic...
Maximum Expectation Algorithms for Missing Data Estimation
Maximum Expectation Algorithms for Missing Data Estimation
Tshilidzi Marwala. © 2009. 23 pages.
Two sets of hybrid techniques have recently emerged for the imputation of missing data. These are, first, the combination of the Gaussian Mixtures Model and the Expectation...
Missing Data Estimation Using Rough Sets
Missing Data Estimation Using Rough Sets
Tshilidzi Marwala. © 2009. 23 pages.
A number of techniques for handling missing data have been presented and implemented. Most of these proposed techniques are unnecessarily complex and, therefore, difficult to...
Support Vector Regression for Missing Data Estimation
Support Vector Regression for Missing Data Estimation
Tshilidzi Marwala. © 2009. 25 pages.
This chapter develops and compares the merits of three different data imputation models by using accuracy measures. The three methods are auto-associative neural networks, a...
Committee of Networks for Estimating Missing Data
Committee of Networks for Estimating Missing Data
Tshilidzi Marwala. © 2009. 23 pages.
This chapter introduces a committee of networks for estimating missing data. The first committee of networks consists of multi-layer perceptrons (MLPs), support vector machines...
Online Approaches to Missing Data Estimation
Online Approaches to Missing Data Estimation
Tshilidzi Marwala. © 2009. 22 pages.
The use of inferential sensors is a common task for online fault detection in various control applications. A problem arises when sensors fail when the system is designed to make...
Missing Data Approaches to Classification
Missing Data Approaches to Classification
Tshilidzi Marwala. © 2009. 23 pages.
In this chapter, a classifier technique that is based on a missing data estimation framework that uses autoassociative multi-layer perceptron neural networks and genetic...
Optimization Methods for Estimation of Missing Data
Optimization Methods for Estimation of Missing Data
Tshilidzi Marwala. © 2009. 23 pages.
This chapter presents various optimization methods to optimize the missing data error equation, which is made out of the autoassociative neural networks with missing values as...
Estimation of Missing Data Using Neural Networks and Decision Trees
Estimation of Missing Data Using Neural Networks and Decision Trees
Tshilidzi Marwala. © 2009. 23 pages.
This chapter introduces a novel paradigm to impute missing data that combines a decision tree, autoassociative neural network (AANN) model and a principal component...
Control of Biomedical System Using Missing Data Approaches
Control of Biomedical System Using Missing Data Approaches
Tshilidzi Marwala. © 2009. 20 pages.
Neural networks are used in this chapter for classifying the HIV status of individuals based on socioeconomic and demographic characteristics. The trained network is then used to...
Emerging Missing Data Estimation Problems: Heteroskedasticity; Dynamic Programming and Impact of Missing Data
Emerging Missing Data Estimation Problems: Heteroskedasticity; Dynamic Programming and Impact of Missing Data
Tshilidzi Marwala. © 2009. 26 pages.
This chapter is divided into three parts: The first part presents a computational intelligence approach for predicting missing data in the presence of concept drift using an...
Condition Monitoring Using Computational Intelligence
Condition Monitoring Using Computational Intelligence
Tshilidzi Marwala, Christina Busisiwe Vilakazi. © 2008. 18 pages.
Condition monitoring techniques are described in this chapter. Two aspects of condition monitoring process are considered: (1) feature extraction; and (2) condition...