Awarded MEng degree in Electrical and Electronic Engineering – Génie Electrique, Finalité Professionnelle – Université Claude Bernard, Lyon 1 (UCBL) in collaboration with Ecole Centrale de Lyon (ECL) & INSA de Lyon – Génie Electrique & Génie Des Procédés Department – Lyon in 2014 – France – Master Thesis entitled: ‘Diagnostic Methods for Health Monitoring of Induction Motors’.

Awarded BSc degree in Electrical, Electronic & Automation – Sciences, Technologies, Santé – Université Claude Bernard, Lyon 1 (UCBL) – Génie Electrique & Génie Des Procédés Department – Lyon 2012 – France – Project title: ‘C Programming for the PIC Microcontroller 16F628A’.

Awarded Diploma degree in Electrical & Industrial Computing – Université de Limoges & University of Technology, Mauritius in conjunction with the Mauritius Examinations Syndicate – Institut Supérieur de Technologie – Camp Levieux in 2009 – Mauritius – Rank: 1/16 – National French Scholarship Award – Graduation project title: ‘Planning & Implementation of Electrical & Telecommunication installations for 40 villas’.

Prior to joining the Université Des Mascareignes (UDM) in 2018, Mr Kaleem Khodabux worked for Orange Business Services (Mauritius) for more than 2 years. As a Service Desk Specialist, he ensured good customer service relationship for client mobile fleet in France in accordance with the company’s procedures and with a constant concern for customer satisfaction.

He was ranked 2nd out of 28 candidates in his Master degree. His first year project was to design a practical work on HV electricity network. He was honoured for the oral presentation & was recommended both by the Director of Ampere Laboratory in Lyon & by his project’s supervisor for a Ph.D.

He studied different fault detection methods and their origins in an induction motor. Using diagnostic methods like the FFT, he detected and analysed various faults like mechanical, bearing and electrical, for an asynchronous motor. He also studied pattern recognition for possible diagnostic methods and detected specific fault by the extraction of vector parameters and visualisation of different classes during data acquisition. He used AI algorithms like particle swarm optimisation & artificial fish swarm algorithm to optimise data obtained from different fault detections until the best fit solution was identified.

Teaching
Mr Khodabux’s teaching concerns mainly: Analog & Digital Modulation, Wireless & Mobile Communications, Basic electronic functions and their components, Linear circuits and components, Power Electronics, Introduction to wave propagation, Automation and SCADA.

Training
After joining the UDM as Lecturer, he followed a Programme on Skill Development in Electronics for TVET in Chennai (India), which aimed at providing practical skills and theoretical knowledge in modern electronic system like the use of PLC for electrical control applications and the utilisation of graphical programming tool LABVIEW for solving industrial instrumentation.

Research

Biography

Awarded MEng degree in Electrical and Electronic Engineering – Génie Electrique, Finalité Professionnelle – Université Claude Bernard, Lyon 1 (UCBL) in collaboration with Ecole Centrale de Lyon (ECL) & INSA de Lyon – Génie Electrique & Génie Des Procédés Department – Lyon in 2014 – France – Master Thesis entitled: ‘Diagnostic Methods for Health Monitoring of Induction Motors’.

Awarded BSc degree in Electrical, Electronic & Automation – Sciences, Technologies, Santé – Université Claude Bernard, Lyon 1 (UCBL) – Génie Electrique & Génie Des Procédés Department – Lyon 2012 – France – Project title: ‘C Programming for the PIC Microcontroller 16F628A’.

Awarded Diploma degree in Electrical & Industrial Computing – Université de Limoges & University of Technology, Mauritius in conjunction with the Mauritius Examinations Syndicate – Institut Supérieur de Technologie – Camp Levieux in 2009 – Mauritius – Rank: 1/16 – National French Scholarship Award – Graduation project title: ‘Planning & Implementation of Electrical & Telecommunication installations for 40 villas’.

Prior to joining the Université Des Mascareignes (UDM) in 2018, Mr Kaleem Khodabux worked for Orange Business Services (Mauritius) for more than 2 years. As a Service Desk Specialist, he ensured good customer service relationship for client mobile fleet in France in accordance with the company’s procedures and with a constant concern for customer satisfaction.

He was ranked 2nd out of 28 candidates in his Master degree. His first year project was to design a practical work on HV electricity network. He was honoured for the oral presentation & was recommended both by the Director of Ampere Laboratory in Lyon & by his project’s supervisor for a Ph.D.

He studied different fault detection methods and their origins in an induction motor. Using diagnostic methods like the FFT, he detected and analysed various faults like mechanical, bearing and electrical, for an asynchronous motor. He also studied pattern recognition for possible diagnostic methods and detected specific fault by the extraction of vector parameters and visualisation of different classes during data acquisition. He used AI algorithms like particle swarm optimisation & artificial fish swarm algorithm to optimise data obtained from different fault detections until the best fit solution was identified.

Teaching
Mr Khodabux’s teaching concerns mainly: Analog & Digital Modulation, Wireless & Mobile Communications, Basic electronic functions and their components, Linear circuits and components, Power Electronics, Introduction to wave propagation, Automation and SCADA.

Training
After joining the UDM as Lecturer, he followed a Programme on Skill Development in Electronics for TVET in Chennai (India), which aimed at providing practical skills and theoretical knowledge in modern electronic system like the use of PLC for electrical control applications and the utilisation of graphical programming tool LABVIEW for solving industrial instrumentation.

Mr Kaleem Khodabux

Research/field of study:
HV electricity network, FFT, fault detection methods, induction, asynchronous motor, pattern recognition, diagnostic methods, vector parameters, classes, AI algorithms, particle swarm optimisation, artificial fish swarm algorithm, best fit solution.

Email:
[email protected]

Any further inquiries?

Please contact on the following email: [email protected]