Teacher Image

Dr. Suhail Khokhar

Associate Professor

Biomedical Engineering

Biography

Dr Suhail Khokhar currently is working as an Associate Professor in the department of Biomedical Engineering QUEST Nawabshah. He joined QUEST in 2007 as a lecturer in the department of Electrical Engineering. He got B.E. (Electrical) 2006 and M.E. (Power) in 2012 from QUEST Nawabshah. He got PhD (Electrical Engineering) from UTM Malaysia in 2016.

Research Interests

Memberships

  • PEC - Member

Courses Teaching

  • 315 - Power Electronics Even
  • MTH108 - Applied Physics Odd
  • ES105 - Circuit Analysis Even

Contact Info

City: Nawabshah

Phone: 03003221064

Email: suhail@quest.edu.pk

CV: View CV

Publication Stats (1996 – 2025)

Qualifications

  • B.E. (QUEST Nawabshah, )
  • M.E. (QUEST Nawabshah, )
  • PhD (UTM Malaysia, )

Experiences

  • Associate Professor at QUEST Nawabshah (2018 - 2025)
  • Assistant Professor at QUEST Nawabshah (2012 - 2018)
  • Lecturer at QUEST Nawabshah (2007 - 2012)

Publications

Power Quality Disturbances (PQDs) Classification Analyzed Based on Deep Learning Technique

(2022)

Capillary Gas Chromatographic Determination of Gamma Aminobutyric acid and Putrescine in Cerebrospinal Fluid using Trifluoroacetylacetone as Derivatizing Reagent

(2018)

A Light-weighted Trust Aware Routing Protocol for Wireless Sensor Network

(2017)

Multilayer Perceptron Feedforward Neural Network Based Power System Stabilizer For Excitation Control System

(2013)

Discrete wavelet transform and multiresolution analysis algorithm with appropriate feedforward neural network classifier for power system transient disturbances

(2014)

A simple methodology for the automatic classification of waveform distortion problems using wavelet transform and PNN-RBF-MLP neural networks

(2014)

A Reliability-Cost–Benefits (RCB) Model for the Addition of DG to Independent Micro-Grid Networks

(2013)

Automatic Pattern Recognition of Single and Multiple Power Quality Disturbances

(2015)

Automated recognition of single & hybrid power quality disturbances using wavelet transform based support vector machine

(2017)

Modeling of High Voltage Insulator Strings through Finite Element Method

(2018)

Formalization of Behavior Change Theories to Accomplish a Health Behavior

(2018)

Recognition and Classification of Power Quality Disturbances by DWT-MRA and SVM Classifier

(2019)

Wavelet based simulation and analysis of single and multiple power quality disturbances

(2019)

A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances

(2015)

On Routing Protocols for High Performance

(2017)

Novel zinc oxide nanoparticles deposited acrylamide composite used for enhancing the performance of water-based drilling fluids at elevated temperature conditions

(2016)

A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network

(2016)

Manipulation of inherent characteristics of graphene through N and Mg atom co-doping; a DFT study

(2018)

A Simplified Model Predictive Control of Four-Leg Two-Level Inverter

(2019)

A new islanding detection technique based on rate of change of reactive power and radial basis function neural network for distributed generation

(2019)

Design and Analysis of 11-level Cascaded H-Bridge Multilevel Inverter using Various SPWM Controlling Techniques Considering Current and Voltage Harmonic

(2022)

Power Quality Disturbances (PQDs) Classification Analyzed Based on Deep Learning Technique

(2022)

Tunicate Swarm Algorithm based Optimized PID controller for automatic generation control of two area hybrid power system

(2023)

Fault detection through discrete wavelet transform in overhead power transmission lines

(2023)

Fault Detection and Classification in Overhead Transmission Lines through Comprehensive Feature Extraction using Temporal Convolution Neural Network

(2024)

A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid

(2024)

Power Quality Disturbances (PQDs) Classification Analyzed Based on Deep Learning Technique

(2022)

Capillary Gas Chromatographic Determination of Gamma Aminobutyric acid and Putrescine in Cerebrospinal Fluid using Trifluoroacetylacetone as Derivatizing Reagent

(2018)

A Light-weighted Trust Aware Routing Protocol for Wireless Sensor Network

(2017)

Multilayer Perceptron Feedforward Neural Network Based Power System Stabilizer For Excitation Control System

(2013)

Discrete wavelet transform and multiresolution analysis algorithm with appropriate feedforward neural network classifier for power system transient disturbances

(2014)

A simple methodology for the automatic classification of waveform distortion problems using wavelet transform and PNN-RBF-MLP neural networks

(2014)

A Reliability-Cost–Benefits (RCB) Model for the Addition of DG to Independent Micro-Grid Networks

(2013)

Automatic Pattern Recognition of Single and Multiple Power Quality Disturbances

(2015)

Automated recognition of single & hybrid power quality disturbances using wavelet transform based support vector machine

(2017)

Modeling of High Voltage Insulator Strings through Finite Element Method

(2018)

Formalization of Behavior Change Theories to Accomplish a Health Behavior

(2018)

Recognition and Classification of Power Quality Disturbances by DWT-MRA and SVM Classifier

(2019)

Wavelet based simulation and analysis of single and multiple power quality disturbances

(2019)

A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances

(2015)

On Routing Protocols for High Performance

(2017)

Novel zinc oxide nanoparticles deposited acrylamide composite used for enhancing the performance of water-based drilling fluids at elevated temperature conditions

(2016)

A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network

(2016)

Manipulation of inherent characteristics of graphene through N and Mg atom co-doping; a DFT study

(2018)

A Simplified Model Predictive Control of Four-Leg Two-Level Inverter

(2019)

A new islanding detection technique based on rate of change of reactive power and radial basis function neural network for distributed generation

(2019)

Design and Analysis of 11-level Cascaded H-Bridge Multilevel Inverter using Various SPWM Controlling Techniques Considering Current and Voltage Harmonic

(2022)

Power Quality Disturbances (PQDs) Classification Analyzed Based on Deep Learning Technique

(2022)

Tunicate Swarm Algorithm based Optimized PID controller for automatic generation control of two area hybrid power system

(2023)

Fault detection through discrete wavelet transform in overhead power transmission lines

(2023)

Fault Detection and Classification in Overhead Transmission Lines through Comprehensive Feature Extraction using Temporal Convolution Neural Network

(2024)

A new deep learning method for classification of power quality disturbances using DWT-MRA in utility smart grid

(2024)

A comparison of voltage stability indices

(2014)

Automatic classification of power quality disturbances: a review

(2013)

MATLAB/Simulink based modeling and simulation of power quality disturbances

(2014)

Improved control of shunt active power filter using harmony search algorithm

(2015)

Modeling of Wind Turbine Simulator for analysis of the wind energy conversion system using MATLAB/Simulink

(2015)

Automatic classification of single and hybrid power quality disturbances using Wavelet Transform and Modular Probabilistic Neural Network

(2015)

A comparison of voltage stability indices

(2014)

Automatic classification of power quality disturbances: a review

(2013)

MATLAB/Simulink based modeling and simulation of power quality disturbances

(2014)

Improved control of shunt active power filter using harmony search algorithm

(2015)

Modeling of Wind Turbine Simulator for analysis of the wind energy conversion system using MATLAB/Simulink

(2015)

Automatic classification of single and hybrid power quality disturbances using Wavelet Transform and Modular Probabilistic Neural Network

(2015)

Projects