Biography:

Dr. Aamer Bilal Asghar received Ph.D. degree in Control Theory and Control Engineering from Dalian University of Technology, Dalian, P.R. China in December 2018. He got MS degree in Electrical Engineering (Control Engineering) from Government College University Lahore, Pakistan in 2014 and BS degree in Electronic Engineering from The Islamia University of Bahawalpur, Pakistan in 2008. He is an HEC-approved Ph.D. supervisor and serving as an Assistant Professor in the Department of Electrical and Computer Engineering at COMSATS University Islamabad, Lahore campus, Pakistan.

LinkedIn Profile: https://www.linkedin.com/in/dr-aamer-bilal-asghar-692859132/

Google Scholar: https://scholar.google.com/citations?hl=en&user=4pbZI7cAAAAJ

• Program Evaluator (PEV) of Nationwide Outcome Based Education (OBE) Engineering Technology Programs to be accredited by the National Technology Council (NTC), Pakistan under the Sydney Accord.

Broad Areas of Research Interests

• Power and Renewable Energy Technologies
• Wind Power Generation and Wind Energy Systems
• Solar Photovoltaic System
• Artificial Neural Networks, Fuzzy logic control, Adaptive Neuro-Fuzzy Inference System (ANFIS)
• Intelligent Control
• Machine Learning and Artificial Intelligence

Editor of International Research Journals

Topic Issue: Advances in Artificial Neural Networks (https://www.mdpi.com/topics/Advances_ANN)

Journals Included:

• Applied Sciences
• Algorithms
• Artificial Intelligence
• Information
• Mathematics

Courses Taught at Graduate (MS/PhD) Level:

• Wind Power Generation (EPE666)
• Renewable Energy Technologies (EPE663)

Courses Taught at Undergraduate (BSEE) Level:

• Electric Circuit Analysis-I  (EEE121)
• Electric Circuit Analysis-II (EEE222)
• Electrical Measurements and Instrumentation (EEE374)
• Introduction to Power Engineering (EEE281)
• Electronics-I  (EEE231)
• Control Systems  (EEE325)
• Renewable and Alternate Energy Systems (EEE488)

Ph.D. Research Supervised:

• Student Name: Arslan Ali                           Reg. Id: CIIT/FA20-PEE-001/LHR      Degree Status: Research In Progress

Ph.D. Research Co-Supervised:

• Student Name: Ghulam Shabbir                  Reg. Id: CIIT/SP19-PEE-003/LHR      Degree Status: Research In Progress

Master’s Degree Research Supervised:

• Thesis Title: Predicting the performance of PEM Fuel Cell for Automotive Applications using Machine Learning

         Student Name: Muhammad Umar              Reg. Id: CIIT/FA22-REE-001/LHR   Degree Status: Research In Progress

• Thesis Title: Estimation of Wake Effect in Wind Farm Using Machine Learning Algorithms

         Student Name: Muhammad Usama Riaz    Reg. Id: CIIT/SP22-REE-001/LHR   Degree Status: Research In Progress

• Thesis Title: Diagnosis of Doubly Fed Induction Generator Inter-Turn Faults (ITF) in Wind Energy Conversion System

        Student Name: Anisa Sharif                      Reg. Id: CIIT/SP20-REE-014/LHR    Degree Status: Graduated in FALL 2023

• Thesis Title: A Data-Driven Approach for Design and Development of Batch Process Automation System of a Plant

        Student Name: Muhammad Subiyyal Fayyaz    Reg. Id: CIIT/SP20-REE-001/LHR     Degree Status: Graduated in FALL 2022

• Thesis Title: Pitch Control of Variable Speed Wind Turbine using Soft Computing Techniques

        Student Name: Raza Ehsan                       Reg. Id: CIIT/SP20-REE-006/LHR          Degree Status: Graduated in FALL 2022

Master’s Degree Research Co-Supervised:

• Thesis Title: Design and Implementation of a Hybrid Supervisory Controller for the Speed Control of PMSM under Load Variations

        Student Name: Muhammad Tayyab             Reg. Id: CIIT/SP21-REE-005/LHR    Degree Status: Graduated in Spring 2023

• Thesis Title: Artificial Neural Network Modeling Approach for Solid Circulation Rate at High Pressure in Circulating Fluidized Bed System

        Student Name: Saad Farooq

• Thesis Title: Wind Turbine Output Power Estimation Using Soft Computing Techniques

         Student Name: M. Iqbal Mustafa

• Thesis Title: Flow Control of Hydrogen in Proton Exchange Membrane Fuel Cell (PEFMC) Using Soft Computing Techniques

         Student Name: Mariam Qaisar

• Attitude Control of Cube Satellite Using Soft Computing Techniques

        Student Name: Muhammad Faisal Shehzad

Undergraduate Final Year Projects (FYP) Supervised:

• Project Title: Smart Glasses for Blind using IoT and Machine Learning (FA20 Batch, to be graduated in Spring 2024)
• Project Title: Sentiment Detection using IoT and Machine Learning (FA20 Batch, to be graduated in Spring 2024)
• Project Title: Crop Disease Detection using IoT and Deep Learning (FA20 Batch, to be graduated in Spring 2024)
• Project Title: Drowsiness Detection in Drivers using IoT and Machine Learning (FA20 Batch, to be graduated in Spring 2024)
• Project Title: IoT Based Air Pollution Monitoring and Forecasting System for Lahore City (FA19 Batch, Graduated in Spring 2023)
• Project Title: Comparative Performance Analysis of Machine Learning Algorithms for Arm Exercises using Wrist-Worn
  Band (FA19 Batch, Graduated in Spring 2023)
• Project Title: Design and Implementation of Solar MPPT Charge Controller (FA19 Batch, Graduated in Spring 2023)
• Project Title: An IoT based Trash Collecting, Cleaning, and Segregation Robot (FA18 Batch,Graduated in Spring 2022)