Othman

At the age of 12, I developed a passion for engineering while watching my dad repair his Mini Morris. This sparked my journey to becoming a highly skilled Software and Controls Technical Specialist, proficient in control system design for automotive applications—from the initial concept to full production.
I have played a key role in developing control strategies for the propulsion and charging systems of various Jaguar and Land Rover electrified platforms, including electric vehicles (EVs) and hybrid electric vehicles (xHEV).

I possess a solid foundation in control theory and its applications to electrified powertrains. My prior roles as a researcher in automotive projects and as a lecturer in Control Engineering at Coventry University have equipped me with a deep understanding of control theory as it relates to electrified powertrains.

Tutoring Experience

Experience summary
> Teaching control theory and its practical applications to postgraduate students.
> Providing trainings to postgraduate students on the use of engineering tools such as MATLAB, Simulink, dSPACE, and LabVIEW.
> Led training sessions for employees at Jaguar & Land Rover (JLR).
I. Linear Control Engineering (MATLAB/Simulink)
- Introducing the concepts of control systems, including open loop, closed loop, and feedback mechanisms.
- Conducting first-principle modelling of electrical, mechanical, and electromechanical systems.
- Analysing transient behaviour and stability of linear time-invariant (LTI) systems.
- Performing stability analysis in the frequency domain using tools such as Bode plots, Nyquist plots, and root locus techniques.
- Simulating systems and analysing results.
II. Classical Controller Design & Optimisation (MATLAB/Simulink)
- Designing and implementing both continuous-time and discrete-time PID controllers.
- Utilising Smith predictor PID to mitigate system delays.
- Employing Fminsearch and Fmincon for optimizing PID parameters.
- Testing controllers through hardware-in-the-loop (HIL) simulations using dSPACE.
- Implementing and tuning additional deviation compensation as continuous-time PID regulators.
III. Parameters and State Estimation (MATLAB/Simulink)
- Estimating parameters using Least Squares (LS), Recursive Least Squares (RLS), and Kalman Filter (KF) methods.
- Performing state estimation using Kalman Filter and Extended Kalman Filter techniques.
- Conducting state estimation from real vehicle data (e.g., position, velocity, and acceleration).
IV. Advanced Controller Design (MATLAB, Simulink, and dSPACE)
- Engaging in model-based control design, including minimum variance and generalized minimum variance techniques.
- Implementing optimal controllers and model predictive controllers (LQG, LQR, and MPC).
- Setting up in-house hardware-in-the-loop configurations for advanced controller testing.
Subjects to be taught
- Mathematics and Computing for Control Systems
- Linear Control Engineering
- Nonlinear Control Engineering
- Simulation of Systems
- Power electronics [ DC-DC converters/ Inverters (DC-AC) / AC-DC (Rectifiers) etc.
- System identification using techniques such as LS, RLS, KF, EKF, etc

Tutoring Approach

I break down complex problems into smaller, more understandable components and continuously link theoretical explanations to practical applications through relevant examples. With 8 years in academia and another 8 years in the industry, I have accumulated a robust 16 years of experience in both theoretical concepts and their practical applications. This background enables me to transform students' thinking and make the subject more enjoyable, as they can easily correlate theory with real-world applications. My extensive hands-on experience allows me to develop control system examples using tools such as MATLAB/Simulink, which makes the subject more intuitive for students