Engr. Muhammad Sadiq

Engr. Muhammad Sadiq

Lecturer

Qualifications:

MS, Engineering Sciences (Research in Control System), GIK Institute, Pakistan

BS, Engineering Sciences (Specialization in Modeling and Simulation), GIK Institute, Pakistan 

Research Interests:

Research interests include signal processing, machine learning: Lyapunov Neural Networks, control system: neuro-adaptive control, Intelligent control.

muhammad.sadiq@giki.edu.pk
+938 271858
Office # G16, FES Faculty Lobby

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
  1. Instrumentation Lab: Interfacing NI-USB-6009 DAQ card and Arduino with LabVIEW. Experiments involving sensor interfacing, data acquisition, and control systems.
  2. Computer Architecture Lab: Design and implementation of digital systems using Verilog HDL on Nexys 4 DDR Artix-7 FPGA Board.
  3. 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.
  4. 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

This 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.

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