Experience:
Lecturer (Faculty of Engineering of Sciences) September 2023– Ongoing
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan
Key Responsibilities:
- Teaching
- Evaluating Student Performance
- Overseeing Various Engineering Laboratories
- Providing Guidance to Students in Their Senior Year Projects
- Participating in the Compilation of the Annual Self-assessment Report for the Program
Graduate Assistant (Faculty Development Program) September 2021– June 2023
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan
Key Responsibilities:
- Teaching assistant.
- Assessment of student’s quizzes and Assignments
Electronic Engineer August 2018 – September 2021
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan
Key Responsibilities:
- Conducted and Demonstrated
- Instrumentation Lab: Interfacing NI-USB-6009 DAQ card and Arduino with LabVIEW. Experiments involving sensor interfacing, data acquisition, and control systems.
- Computer Architecture Lab: Design and implementation of digital systems using Verilog HDL on Nexys 4 DDR Artix-7 FPGA Board.
- Signals and System Lab: To familiarize the students with MATLAB software in context of Signal and System. Implementation of discrete time signal and system and analysis using Fourier Transform and Z-transform in MATLAB. Defining and analysis of LTI systems by defining transfer functions in MATLAB. Introduction to other packages of MATLAB like GUI and Simulink.
- Modeling and Simulation Lab: Experiments on Excel, MATLAB and its optimization toolbox. Exploring the sensitivity of complex systems by varying parameters within statistical constraints using Monte Carlo Simulation. Simulating stochastic system using Random Walk Techniques.
- Teaching assistant in Signal and System Engineering Statistics, Computer Architecture and Circuit Analysis Courses.
- Working with Professional body to organize CPD activity inside the campus.
- Give technical support to researchers in the field of instrumentation and embedded systems.
Continuing Professional Development (CPD) Program
- Certificate of (1.0 CPD Point) on short course of VERILOG HDL BASED DIGITAL DESIGN
- Certificate of (1.0 CPD Point) on short course of FILTER DESIGN (APPROXIMATION & IMPLEMENTATION)
- Certificate of (1.0 CPD Point) on short course of (DIGITAL DESIGN USING ARTIX 7 FPGA)
- Certificate of (1.0 CPD Point) on short course of (PHOTOLITHOGRAPHY)
MS Thesis
Lyapunov Neural Network-based Adaptive Inverse Control for Tracking of Unknown MIMO Nonlinear Systems
The thesis proposes a direct model-free neuro-adaptive tracking controller using a novel fast gradient-free Lyapunov stable machine learning recurrent neural network (LSMRN) algorithm applicable to invertible input-output stable dynamic systems. This controller processes the plant input and output signals data for synthesizing the adaptive tracking control effort without using the model structure and the system parameters.
The key contributions are twofold: reducing computational complexity by replacing the traditional neural network estimator (NNE) and controller (NNC) with a single recurrent neural network, and significantly improving tracking performance. The LSMRN relies solely on input/output data, eliminating the need for explicit system models and control signal estimators in the closed loop. Lyapunov stability analysis ensures closed-loop stability and error convergence. Simulations on the Lorenz Chaotic and 3D Chaotic Satellite systems demonstrate the controller’s superior tracking accuracy with reduced control effort, highlighting its robustness and efficiency compared to conventional methods.
