Professor, Department of Electrical Engineering, PIEAS
PhD (Control Systems), University of Alberta, Canada
Below are some of the courses I teach or have taught, along with brief descriptions:
Supervisory Control and Data Acquisition (SCADA) systems, Distributed Control Systems (DCS), and Programable Logic Controllers (PLCs) are Industrial Control Systems (ICSs) that monitor and control the behavior of many industrial processes such as electric power generation, transmission, and distribution, chemical processing, oil and gas refining, and manufacturing. These systems are synergistic integrations of control, computing, and communication technologies and are often connected to the internet. This exposure of these systems to the outside world has significantly increased the risk of cyber attacks on them. This course provides an introduction to the cyber security issues of industrial control systems. Essential techniques for the planning and design of cyber security measures of these systems will be presented.
Last taught: Fall 2025, 2024, 2023, 2022, 2021, 2020
This course is concerned with the design of control systems that have uncertainty in the model of the system to be controlled or affected by unknown external disturbances that influence the behaviour of the system. Essential robust control techniques for analysis and design of these systems will be presented.
Last taught: Fall 2025, 2024, 2023, 2022, 2021, 2020, Summer 2020, Spring 2018, 2017, 2015,
This course is the second course on circuit theory covering advance topics such as Natural and step response of RL, RC, and RLC circuits; Circuit analysis using the Laplace transform; Frequency selective circuits: low- pass, high-pass, bandpass, band-reject filters; Active filters; Circuit analysis using the Fourier Series and Fourier Transform; Two-port circuits.
Last taught: Spring 2025, 2024, 2023, 2022, 2021, Summer 2020, Fall 2017, 2015,
This is a first-year graduate-level course covering the design and analysis of computer-controlled systems using the classical (root locus and frequency response methods) and modern (state space) approaches.
Last taught: Fall 2024, 2023, Summer 2022, Fall 2017, 2016, 2014, 2013, Spring 2014
This course covers the analysis and design of control systems using classical control theory. Major topics include mathematical modeling of physical systems, transient and steady-state response, characteristics of feedback control systems, stability, analysis and design using root locus and frequency response techniques, and PID control.
Last taught: Spring 2017, 2014, 2013
This course provides an introduction to the theory of probability and random variables, fundamental probability models, discrete and continuous probability distributions, statistical estimation and testing, confidence intervals, and an introduction to random processes.
Last taught: Fall 2015, 2014, 2013
Office: SE-201, Phone: 051 959 3403
Email: gm@pieas.edu.pk
Webpage: faculty.pieas.edu.pk/gm
Department of Electrical Engineering, PIEAS, Nilore, Islamabad, Pakistan