POLE OF RESEARCH EXCELLENCE
REAL-TIME ENGINEERING FOR INDUSTRY 4.0
1. Brief profile of the group
Group Leader: Associate Professor (Dr) T.P. Fowdur, C.Eng, MITP, MIEE
Dr. T.P. Fowdur received his BEng (Hons) degree in Electronic and Communication Engineering with first class honours from the University of Mauritius in 2004. He was also the recipient of a Gold medal for having produced the best degree project at the Faculty of Engineering in 2004. In 2005 he obtained a full-time PhD scholarship from the Tertiary Education Commission of Mauritius and was awarded his PhD degree in Electrical and Electronic Engineering in 2010 by the University of Mauritius. He is also a Registered Chartered Engineer of the Engineering Council of the UK, member of the Institute of Telecommunications Professionals of the UK and the IEEE. He joined the University of Mauritius as an academic in June 2009 and is presently an Associate Professor at the Department of Electrical and Electronic Engineering of the University of Mauritius. His research interests include Mobile and Wireless Communications, Multimedia Communications, Networking and Security, Telecommunications Applications Development, Internet of Things and AI. He has published several papers in these areas and is actively involved in research supervision, reviewing of papers and also organizing international conferences.
Dr. M. Gooroochurn, MIET, LEED AP BD+C
Dr. M. Gooroochurn is a Senior Lecturer in the Mechanical & Production Engineering Department of the University of Mauritius, and is an accredited professional in green building design and construction (LEED AP BD+C) with the United States Green Building Council. He has been the recipient of several awards, namely gold medal for best faculty of engineering graduate in 2003, DAAD best student award for his masters in Germany and the commonwealth scholarship for his doctorate studies at Loughborough University, UK. He has over three years industry experience as research manager and head of sustainability in building services consultancy and has been involved in UNDP projects at national level for developing an energy audit management framework for Mauritius and devising sustainability principles for local buildings. He has administered and led the certification of green buildings. He is a member of the Institution of Engineering and Technology (IET), UK, and has worked on several research projects for improving the thermal comfort and energy efficiency of buildings in a tropical context. He has specific research experience in machine learning, pattern recognition, sensor and instrumentation for gathering measurements in empirical studies and in carrying out building energy modelling and dynamic simulations for parametric analysis of building factors. He has recently been nominated the Ellen McArthur Circular Economy pioneer for Mauritius and he is willing to bring his contribution in furthering circular design and Industry 4.0 principles in making Mauritius a vibrant, entrepreneurial and sustainability-led economy.
Dr. M.A Hosany
Dr. Vishwamitra Oree is a Senior Lecturer in the Electrical and Electronic Engineering Department of the University of Mauritius. He holds a PhD in “Renewable Energy Systems Integration and Planning” from the University of Mauritius, a Masters degree in Electronic Engineering from the Grenoble Institute of Technology (ENSERG-INPG, France) and an undergraduate degree in Electrical and Electronic Engineering from the University of Mauritius. He has published several articles in leading international peer-reviewed journals as well as in proceedings of international conferences. His major research interests include renewable energy planning and microcontroller-based systems.
Mr. A.P. Murdan
Mr Anshu Prakash Murdan received his BEng.(Hons) in Electrical and Electronic Engineering, and his MSc in Information and Communication Technologies, from the University of Mauritius in 2000 and 2003 respectively. He is currently appointed as a Senior Lecturer in the Electrical and Electronic Engineering Department of the University of Mauritius. He is also pursuing his PhD in the field of power systems control engineering, and has published several articles in international peer-reviewed journals as well as in proceedings of international conferences. His major research interests include control and integration of renewables in power systems, smart grids, and internet of things (IoT).
Dr. O. Gukhool
Dr. Oomesh Gukhool received his BSc (Hons.) in Business Information System and his PhD in Computational Intelligence, from the University of Technology, Mauritius, in 2005 and 2011 respectively. He is presently a Senior Lecturer at the University of Mauritius, and his area of research is Computational Transportation Intelligence. He is supervising PhD students and leading research/consultancy projects in the development and implementation of computational intelligence to solve transportation problems
Mr Z. Doomah, MIHE, RPEM
Mr Z. Doomah received his BEng (Hons) degree in Civil Engineering with first class honours from the University of Mauritius in 2003 and MSc degree in Project Management with distinction from University of Mauritius in 2011. He is a Registered Professional Engineer with the Council of Registered Professional Engineers, Mauritius and a member of the Institute of Highway Engineers of the UK. He has worked extensively on the design, construction and management of major transport infrastructure projects in Mauritius and Seychelles. He joined the University of Mauritius as an academic in August 2018 and is presently a Lecturer in the Department of Civil Engineering of the University of Mauritius. His research interests include traffic and road safety engineering, intelligent transport solutions and resilient infrastructure.
2. Main Research Thrusts:
Industry 4.0 is the subset of the fourth industrial revolution that concerns industry. However, the fourth industrial revolution encompasses areas which are not normally classified as just an industry, such as smart cities, for instance. Although the terms "industry 4.0" and "fourth industrial revolution" are often used interchangeably, "industry 4.0" factories have machines which are augmented with wireless connectivity and sensors, connected to a system that can visualise the entire production line and make decisions on its own. In essence, industry 4.0 is the trend towards automation and data exchange in manufacturing technologies and processes which include cyber-physical systems (CPS), ultra reliable and low latency pervasive communications with 5G, the internet of things (IoT), cloud computing, cognitive computing and artificial intelligence.
With the advent of high speed telecommunication systems such as, 4G/5G mobile systems, IEEE 802.11 /WIMAX based wireless LANs, coupled with major breakthroughs in IoT, AI and cloud computing, several engineering applications can now be effectively carried out in real-time to significantly increase productivity. Apart from the classical real-time communication applications such as video conferencing, broadcasting, live streaming and telemedicine, several other engineering applications now require real-time infrastructures. Examples include process monitoring and control, utility management and optimization, transportation, self-driven cars, agriculture, weather forecasting etc. A new branch of engineering known as Real-time Engineering has therefore emerged which encompasses all the engineering technologies and systems that are enabling Industry 4.0 and are indispensable for the implementation of Industry 4.0.
The main aim of this research group is to develop and deploy real-time engineering technologies that are an integral part of Industry 4.0. Essentially two main objectives are targeted:
1. Conduct fundamental research in real-time communication systems, IoT, AI techniques, data security mechanisms, multi-criteria optimization, sensors, MEMs, Microcontrollers, FPGAs and other technologies which support real-time engineering applications.
2. Develop and deploy a wide spectrum of real-rime engineering systems ranging from data transmission, tracking, process monitoring and control, data security, anomaly detection, utilities management, traffic and transportation, building automation, signaling, predictive maintenance, AI based optimization, robotics etc.
The group will have essentially three main research thrusts which are as follows:
- Next generation Sensors and Microcontrollers
This research area will cover fundamental research on different sensor types such as nano-sensors, MEMs, smart sensors, satellite based sensor, FPGAs and microcontrollers. Figure 1 gives an overview of these aspects:
- Real time communication systems (5G, Wifi, WiMax)
This area of research will focus on the communication technologies that can support ultra-reliable and low latency transmission, enhanced mobile broadband connectivity, massive machine type communications, intelligent and unified connectivity as well as data security. Figure 2 summarises the main aspects of this research area.
- Real time analytics, AI and Computing
This area of research deals with the development of new AI techniques and analytics techniques that can be applied in various situations such as energy management, traffic control, bandwidth optimization etc. An overview of this area is given in Figure 3.