Artificial Intelligence
Staff & Key Concepts
Dr WJ Brettenny - Data Science; Machine Learning; Deep Learning
Dr S Pazi - Machine Learning; Deep Learning
Mr APS Gqwaka - Machine Learning; Natural Language Processing (NLP)
Ms L Sepato - Machine Learning
Dr CM Clohessy - Data Science; Machine Learning; Deep Learning
Description
Artificial Intelligence (AI) involves the training of computers to mimic the processing power of the human brain. Its aim is for computers to perform targetted tasks that are typically done by human intelligence and discernemnt. This field of research takes advantage of the increase in data sizes and processing power of the latest technologies to find patterns at even a granular scale to improve predictive accuracy. AI tends to be a collective term for many areas of research that have dedicated faculties or companies developing them. These areas include, but are not limited to, machine learning, deep learning, natural-language processing, computer vision etc. Our staff are actively engaging with this type of research with widespread applications as well.
Sports Statistics
Staff & Key Concepts
Prof GD Sharp - Optimisation; Operational Reseach and Decision Support
Dr WJ Brettenny - Optimisation; Operational Reseach and Decision Support
Dr S Pazi - Operational Reseach and Decision Support; Predictive Modelling;
Mr APS Gqwaka - Operational Reseach and Decision Support; Predictive Modelling;
Dr CM Clohessy - Optimisation; Operational Reseach and Decision Support
Description
Sports involve the physical exertion of skill and ability in a competitive environment. Information is then recorded to keep track of the performances involved (either at player or team level). This information is just as vast the types of sports played. To make sense of the data, researchers implement various methods to reach a goal. Depending on the research, the aim may be to predict outcomes of a match, deterimine the efficacy of certain sports equipment, the viability of strategies implemented by the coaches or even selecting a fantasy team. Whatever the case may be, our staff are enthusiastic about making sense of the sports world, especially those who have not won the department fantasy league competition in a while.
Functional Data Analysis
Staff & Key Concepts
Dr S Mangisa
Biostatistics
Staff & Key Concepts
Prof GD Sharp - Longitudinal and Survival Modelling
Dr S Pazi - Longitudinal and Survival Modelling
Econometric Modelling
Staff & Key Concepts
Dr WJ Brettenny - Data Envelopment Analysis (DEA); Stochastic Frontier Analysis (SFA); Efficiency Benchmarking
Mr APS Gqwaka - Data Envelopment Analysis (DEA); Stochastic Frontier Analysis (SFA); Efficiency Benchmarking
Computational Statistics
Staff & Key Concepts
Dr WJ Brettenny - Monte Carlo Simulations
Mr APS Gqwaka - Monte Carlo Simulations
Prof GD Sharp - Monte Carlo Simulations
Dr CM Clohessy - Monte Carlo Simulations
Financial Statistics
Staff & Key Concepts
Prof IN Litvine
Ms L Sepato - Credit Scoring; Machine Learning; Climate Change
Dr S Mangisa
Dr S Janse van Rensburg - Stock Market Analysis; Machine Learning
Industrial Statistics
Staff & Key Concepts
Prof GD Sharp
Big Data Analytics
Staff & Key Concepts
Dr S Pazi - Data Mining; Classification; Clustering; Multivariate Analysis
Mr APS Gqwaka - Text Mining; Clustering; Multivariate Analysis
Environmental Statistics
Staff & Key Concepts
Dr CM Clohessy - Renewables; Wind Energy; Photovoltaic Energy; Deep Learning; Tolerance Intervals
Dr WJ Brettenny - Renewables; Photovoltaic Energy; Deep Learning
Ecological Statistics
Staff & Key Concepts
Dr J Hugo
Mr L Kepe
Education Applications
Staff & Key Concepts
Mr APS Gqwaka - Efficiency Benchmarking
Bayesian Statistics
Staff & Key Concepts
Dr J Hugo
Dr CM Clohessy