Summary
Dr. Muhammad Farrukh Qureshi is an Assistant Professor in the Department of Electrical Engineering at Namal University, Mianwali, bringing over nine years of experience in the field. He earned his BS in Electronic Engineering from IIUI and MS in Electrical Engineering from Riphah International University, specializing in Signal Processing. Dr. Farrukh completed his PhD in Electrical Engineering from Riphah International University in 2024, focusing on Deep Learning in EMG signals. He has published 19 research papers across various domains, including AI-based healthcare, signal processing, cancer cell classification, EEG, EMG, etc. His work has garnered over 210 citations and an h-index of 9. Dr. Farrukh's current research interests include innovative machine learning applications in healthcare, agriculture, energy sectors, federated learning, and developing AI solutions tailored to rural environments.
Academic Background
PhD in Electrical Engineering
(Classification of Physiological Signals for Human Computer Interaction using Deep Learning)
Riphah International University, Islamabad.
2024
MS in Electrical Engineering
(Time-Frequency Signal Processing of Self-Mixing Laser Sensor for Vibration Measurement)
Riphah International University, Islamabad.
2014
BS in Electronics Engineering
(Automatic Secured Storage Machine)
International Islamic University, Islamabad.
2012
Experience
Assistant Professor
Namal University Mianwali
09-Sep-2024 - continue
Senior Lecturer
Riphah International University, Islamabad.
01-Sep-2022 - 06-Sep-2024
Lecturer
Riphah International University, Islamabad.
08-May-2015 - 31-Aug-2022
Technical Executive
Wi-tribe Pakistan (Pvt.) Ltd.
29-Nov-2014 - 07-May-2015
Electrical Engineer
Tesla Industries (Pvt.) Ltd.
01-Apr-2014 - 01-Jul-2014
Intern (National Internship Program)
Ministry of IT & Telecommunications, Islamabad
01-Jan-2013 - 31-Dec-2013
Intern (Production)
Pakistan Accumulators (Pvt) Ltd.
01-Oct-2012 - 31-Dec-2012
Journal Publications
Conference Publications
Courses
- Applications of Information and Communication Technologies.
- Electric Machines
- Introduction to Machine Learning
Unmanned Aerial Vehicle for Pesticide Spraying
Won funding of PKR 70,000 from National Grassroot ICT Research Initiative, Ignite-National Technology Fund.
Development of AI model for early diagnosis of Cardiopulmonary
diseases
Awarded funding of PKR 100,000 under FYDP Financing by the Pakistan Engineering Council.
Design and Fabrication of Electric Bike
Won funding of Rs. 70,000 under National Grassroot ICT Research Initiative, Ignite-National Technology Fund.
Smart Fuel Monitoring and Fraud Prevention System for Truck Fleets
Patent submission is in progress.