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The School of Electrical and Information Engineering conducts research in a variety of fields, broadly defined by the research groups below. We are committed to research excellence and we strive to contribute to new technologies that will shape the fourth industrial revolution in Africa.

Biomedical Engineering Research Group

Biomedical Engineering is a discipline in which the techniques of engineering and quantitative sciences are applied to the solution of problems in medicine and biology. The applications include research and design of instrumentation and technologies to enhance health care. In addition, the discipline deals with the development of a quantitative understanding of the human body and other living systems, in engineering terms.

The Biomedical Engineering Research Group within the School of Electrical and Information Engineering offers a range of research options at postgraduate level.  The field of Biomedical Engineering is inherently multidisciplinary, and hence the research is usually undertaken in collaboration with other research groups and in some cases with other departments and institutions.

The group has been active in the fields of medical imaging, artificial intelligence and bioreactors. Some of the work has been done in collaboration with the School of Pathology and the School of Chemical and Metallurgical Engineering, as well as other research groups within the School of Electrical & Information Engineering.

Staff Research Interests

Prof David Rubin (Head)

Medical Instrumentation

Prof Vered Aharonson

Speech Analytics for Medical Diagnosis and Biometrics
Signal processing for rehabilitation robots
Physiological signal processing

Dr Steven Dinger

Biomedical Engineering and Biophysics
Cancer Therapy using MRI
Machine vision

Dr Xriz Richards

Biomedical Engineering

Mr Craig Carlson


Mr Abdul Khaaliq Mohamed

Brain Computer Interfaces

Mr Adam Pantanowitz

Artificial Intelligence / Neuroscience
Human Computer Interfaces
Brain Computer Interfaces

Systems and Control Research Group

The Centre for Systems and Control is a research group that resides within the School of Electrical and Information Engineering in the Faculty of Engineering and the Built Environment. The activities of the group range from classical control to modern linear and non-linear control. All aspects of systems and signals namely, modelling, synthesis, control analysis and design pertaining to linear and non-linear, time-invariant as well as time varying systems and signals form part of the focus.


StaffResearch Interests
Prof. Brian Wigdorowitz

Control theory, Systems theory, Optimisation

Dr Otis Nyandoro 

Real-time scheduling systems, Control scheduling co-design, Anti-lock braking systems

Prof. Anton Van Wyk  
Electric Power Research Group

The Electric Power Research Group (EPRG) is an on-going and well-established programme in the School of Electrical & Information whose mission is to contribute expert knowledge and skills in the fields of high voltage, lightning/EMC, computational electromagnetics and power system engineering. It aims to establish a sound base in research and teaching in the various associated disciplines and is committed to being a world key player in contributing expert knowledge. It views research and teaching in these disciplines as a critical ingredient to economic growth as well social well-being of the region.

StaffResearch Interests 
Prof Ken Nixon (Head) 

Lightning safety; High Voltage engineering; Programming and Data Sciences

Prof Ian Jandrell

High voltage, Electromagnetic compatibility (EMC), Lightning, Earthing and Lightning Protection, Software Engineering

Prof John Van Coller

High voltage, Power electronics, Power systems, Renewable energy, Power system economics, Lightning, EMC

Prof Cuthbert Nyamupangedengu 

Partial discharges, HV insulation diagnosis, Power cables, Engineering design, Engineering education

Prof Alan Clark

Electromagnetic analysis, Computer codes, Antenna design for the professional market 

Prof Estelle Trengove

Software for electrical distribution, Lightning, Electrical engineering education

Dr Nicholas West

High Voltage Engineering, Gas breakdown, Laser-induced breakdown, Lightning, Engineering Education

Dr Hugh Hunt

Hugh Hunt

Lightning Detection and Measurement; Lightning Protection and safety; High Voltage Engineering

Dr Carina Schumann

Lightning Physics and Characterisation; High speed imaging; Lightning Safety and Awareness
FEET (Future Electrical Energy Technology) Research Group

This group researches systems and technologies that ensure adequate secure supply of clean electrical energy into the future. Access to energy, in conjunction with access to water is one of the biggest drivers of quality of life. Given the current environmental impact issues of traditional fossil fuel based energy, expanding access to energy in this direction is not an option.

Staff Research Interests 
Prof Willie Cronje (Head) Pico-grids, solar energy 
Prof Cuthbert Nyamupangedengu 

Partial discharges, HV insulation diagnosis, power cables, engineering design, engineering education

Prof Dave Dorrell

Electrical machines, renewable energy, power systems

Dr Mercy Shuma-Iwisi Demand side management, renewable energy, load characterisation, smart homes 
Mr James Braid

Machine design, wind energy research

Prof Ivan Hofsajer

Power electronics, electromagnetic compatibility, engineering electromagnetics, signal integrity, integrated electronics

Dr Lesedi Masisi

Electrification of transportation, electric motor drives, electric machine modeling (control and testing), energy storage, energy efficiency and renewable energy

Ms Yu-Chieh (Jessie) Yen

Demand-side management, load modelling, energy efficiency, thermal storage, sustainability and renewables

Software Engineering and Data Intensive Computing (SEDIC)

The Software Engineering and Data Intensive Computing (SEDIC) Research Group has a number of current research interests including: software development methodologies, smart grids, big data and bioinformatics. The members also work closely with the Wits Institute of Data Science


Staff Research Interests 
Dr Stephen Levitt (Head)

Software Engineering, Domain Modelling, Software Testing

Prof Barry Dwolatzky 

Software integration for large systems

Prof Scott Hazelhurst  Bioinformatics, High Performance Computing, Data Structures and Algorithms 
Prof Turgay Celik Visual and Cognitive Computing, Machine Learning, Data Science, Software Engineering, Remote Sensing 
Centre for Telecommunications Access and Services (CeTAS)

The Center for Telecommunications Access and Services (CeTAS) has a long legacy of research. We perform research in a variety of interesting fields - please see our staff member interests below and contact them if you are interested in joing us. 


In 1997 Telkom set up its Centre of Excellence (COE) programme which had two objectives: to promote postgraduate research at South African Universities in areas that support the Telecommunications Sector and to develop some of the high-level skills needed in this sector.

The Wits University Center of Excellence, established in 1997 under the leadership of Prof Hu Hanrahan, defined its focus as "Telecommunications Access and Services". It was initially supported financially by Telkom, Vodacom, Nokia-Siemens, Telsaf Data and the DTI (via the THRIP programme). 

Over the last two and a half decades, the Wits CoE (now called CeTAS), has achieved an excellent research publication record, and has educated a significant number of students who have gone on to fill key positions in the South African and African telecommunications industry.

Staff Research Interests 
Prof Fambirai Takawira (Head)

Adaptive signal processing, Digital communications, Data networks

Prof Ling Cheng

Internet of Things for Smart Cities, Visible light communications, Power-line communications, Network information theory,Heuristic algorithm in Artificial Intelligence, Pattern recognition, Insertion/deletion error correction, Single machine scheduling

Prof Olutayo Oyerinde

Signal processing in 5G and beyond 5G wireless communications networks, Massive MIMO, NOMA, mm Wave Massive MIMO, channel estimation techniques, multiuser detection techniques, beamforming, pre-coding; applications of compressive sensing algorithms

Dr Jules Moualeu  
Dr Mitchell Cox

Optical Communications, Free Space Optics, Mode Division Multiplexing, Bridging the Digital Divide using Optical Communications

Dr Chabalala Chabalala

Next-generation wireless networks, Massive machine-type communications, Cognitive radio networks, NOMA, Radio resource management in 5G, Performance modeling and analysis of wireless communication systems.

Mr Shamin Achari

Visible Light Communications, Coding