Dr. Aamer Bilal Asghar
Assistant Professor, Electrical and Computer Engineering
Area of Interest: Machine Learning and Artificial Intelligence, Control and Automation, Renewable Energy Technologies, Smart Grid, Wind and Solar Energy, Biomass, Fuel Cell, Health Care and Monitoring, IoT based Wearable Sensors
Tel # (Off): 111-001-007   (192)
HEC approved PhD Supervisor

Note: MS and Ph.D. students interested in doing research with me are encouraged to visit my office (Ph.D. Faculty Block, Room#192) or contact me by email (aamerbilal@cuilahore.edu.pk).

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)
  • Linear Control Systems (ECI660)

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: Estimation of Syngas production in Biomass using Machine Learning Algorithms

    Student Name: Nabeel Arshad              Reg. Id: CIIT/FA22-REE-006/LHR   Degree Status: Research In Progress

  • 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: Early Detection of Autism Spectrum Disorder using IoT based Wearable Sensors and Machine Learning (FA21 Batch, to be graduated in Spring 2025)
  • Project Title: Smart Glasses for Blind using IoT and Machine Learning (FA20 Batch, Graduated in Spring 2024)
  • Project Title: Sentiment Detection using IoT and Machine Learning (FA20 Batch, Graduated in Spring 2024)
  • Project Title: Crop Disease Detection using IoT and Deep Learning (FA20 Batch, Graduated in Spring 2024)
  • Project Title: Drowsiness Detection in Drivers using IoT and Machine Learning (FA20 Batch, Graduated in Spring 2024)
  • Project Title: IoT Based Air Pollution Monitoring and Forecasting System for L

Funded Projects:

Completed Projects:
1. Sentiment Detection using IoT and Machine Learning (2024 - 2024) PIs: Dr. Aamer Bilal Asghar , Budget: PKR 70,000, Funded By: IGNITE-National Technology Fund-National Grassroots ICT Research Initiative (NGIRI) (Web Link).
2. Crop Disease Detection Using IoT and Deep Learning (2024 - 2024) PIs: Dr. Aamer Bilal Asghar , Budget: PKR 100,000, Funded By: Pakistan Engineering Council (PEC) .
3. Drowsiness Detection in Drivers Using IoT and Machine Learning (2024 - 2024) PIs: Dr. Aamer Bilal Asghar , Budget: PKR 100,000, Funded By: Pakistan Engineering Council (PEC) .
4. Smart Glasses for Blind Using IoT and Machine Learning (2024 - 2024) PIs: Dr. Aamer Bilal Asghar , Budget: PKR 100,000, Funded By: Pakistan Engineering Council (PEC) .
5. An IoT-based Trash Collecting, Cleaning and Segregation Robot (2022 - 2022) PIs: Dr. Aamer Bilal Asghar , Budget: PKR 70,000 PKR, Funded By: National Technology Fund, National Grassroots ICT Research Initiative (NGIRI) (Web Link).

Publications:

Journal Papers:
1. Aamer Bilal Asghar, Maham Majeed, Abdullah Taseer, Muhammad Burhan Khan, Khazina Naveed, Mujtaba Hussain Jaffery, Ahmed Sayed Mohammed Metwally, Krzysztof Ejsmont, Miroslaw Nejman (2024), "Classification and monitoring of arm exercises using machine learning and wrist-worn band", Egyptian Informatics Journal, Vol: 27, Issue: 100534, DOI: https://doi.org/10.1016/j.eij.2024.100534, Impact Factor: 5    (External URL)
2. Muhammad Yaqoob Javed, Aamer Bilal Asghar*, Khazina Naveed, Ali Nasir, Basem Alamri, Muhammad Aslam, Essam A. Al-Ammar, Zsolt Conka (2024), "Improving the Efficiency of Photovoltaic-Thermoelectric Generator System Using Novel Flying Squirrel Search Optimization Algorithm: Hybrid Renewable and Thermal Energy System (RTES) for Electricity Generation", Process Safety and Environmental Protection, DOI: https://doi.org/10.1016/j.psep.2024.04.093, Impact Factor: 7.8    (External URL)
3. Aamer Bilal Asghar, Raza Ehsan, Khazina Naveed, Essam A. Al-Ammar, Krzysztof Ejsmont, and Miroslaw Nejman (2024), "Recurrent neural network for pitch control of variable-speed wind turbine", Science Progress, Vol: 107, Issue: 2, DOI: https://doi.org/10.1177/00368504241243160, Impact Factor: 2.1    (External URL)
4. Sajid Sarwar, M. Yaqoob Javed, Aamer Bilal Asghar, Waseem Iqbal, Krzysztof Ejsmont, Mujtaba H.Jaffery (2024), "A Coronavirus Optimization (CVO) Algorithm to Harvest Maximum Power from PV Systems under Partial and Complex Partial Shading Conditions", Energy Reports, pp: 1693-1710, Vol: 11, DOI: https://doi.org/10.1016/j.egyr.2024.01.043, Impact Factor: 5.2    (External URL)
5. Guolin Xiao, Xiaori Gao, Wei Lu, Xiaodong Liu, Aamer Bilal Asghar, Liu Jiang, Wenlin Jing (2023), "A Physically Based Air Proportioning Methodology for Optimized Combustion in Gas-Fired Boilers Considering Both Heat Release and NOx Emissions", Applied Energy, pp: 121800, Vol: 350, DOI: https://doi.org/10.1016/j.apenergy.2023.121800, Impact Factor: 11.2    (External URL)
6. Aamer Bilal Asghar, Maham Majeed, Abdullah Taseer, Muhammad Burhan Khan, Khazina Naveed, Mujtaba Hussain Jaffery, and Krzysztof Ejsmont (2023), "Comparative Performance Analysis of Machine Learning Algorithms for Arm and Shoulder Exercises Using Wrist-worn Band", IEEE Access, pp: 111598-111607, Vol: 11, DOI: 10.1109/ACCESS.2023.3323592, Impact Factor: 3.9    (External URL)
7. Muhammad Faisal Shehzad, Aamer Bilal Asghar, Mujtaba Hussain Jaffery, Khazina Naveed, Zsolt Conka (2023), "Neuro-fuzzy system based proportional derivative gain optimized attitude control of CubeSat under LEO perturbations", Heliyon, pp: e20434, Vol: 9, Issue: 10, DOI: https://doi.org/10.1016/j.heliyon.2023.e20434, Impact Factor: 4    (External URL)
8. Muhammad Mateen Afzal Awan, Aamer Bilal Asghar*, Muhammad Yaqoob Javed and Zsolt Conka (2023), "Ordering Technique for the Maximum Power Point Tracking of an Islanded Solar Photovoltaic System", Sustainability, pp: 3332, Vol: 15, Issue: 4, DOI: https://doi.org/10.3390/su15043332, Impact Factor: 3.889    (External URL)
9. Muhammad Shoaib Farooq, Haris Khalid, Ansif Arooj, Tariq Umer, Aamer Bilal Asghar, Jawad Rasheed, Raed M. Shubair, Amani Yahyaoui (2023), "A Conceptual Multi-Layer Framework for the Detection of Nighttime Pedestrian in Autonomous Vehicles using Deep Reinforcement Learning", Entropy, pp: 135, Vol: 25, Issue: 1, DOI: https://doi.org/10.3390/e25010135, Impact Factor: 2.738    (External URL)
10. Aamer Bilal Asghar, Khazina Naveed, Gang Xiong, Yong Wang (2022), "Adaptive Neuro-Fuzzy Algorithm for Pitch Control of Variable-Speed Wind Turbine", International Journal of Control, Automation and Systems, pp: 3788–3798, Vol: 20, DOI: https://doi.org/10.1007/s12555-021-0675-y, Impact Factor: 3.314    (External URL)
11. Muhammad Annas Hafeez, Ahmer Naeem, Muhammad Akram, Muhammad Yaqoob Javed, Aamer Bilal Asghar* and Yong Wang (2022), "A Novel Hybrid MPPT Technique Based On Harris Hawk Optimization (HHO) and Perturb and Observer (P&O) under Partial and Complex Partial Shading Conditions", Energies, pp: 5550, Vol: 15, Issue: 15, DOI: https://doi.org/10.3390/en15155550, Impact Factor: 3.252    (External URL)
12. Muhammad Yaqoob Javed, Iqbal Ahmed Khurshid, Aamer Bilal Asghar, Syed Tahir Hussain Rizvi, Kamal Shahid, Krzysztof Ejsmont (2022), "An Efficient Estimation of Wind Turbine Output Power Using Neural Networks", Energies, pp: 5210, Vol: 15, Issue: 14, DOI: https://doi.org/10.3390/en15145210, Impact Factor: 3.252    (External URL)
13. Sajid Sarwar, Muhammad Annas Hafeez, Muhammad Yaqoob Javed, Aamer Bilal Asghar*, Krzysztof Ejsmont (2022), "A Horse Herd Optimization Algorithm (HOA)-Based MPPT Technique Under Partial and Complex Partial Shading Conditions", Energies, pp: 1880, Vol: 15, Issue: 5, DOI: https://doi.org/10.3390/en15051880, Impact Factor: 3.004    (External URL)
14. Muhammad Mateen Afzal Awan, Muhammad Yaqoob Javed, Aamer Bilal Asghar*, Krzysztof Ejsmont, Zia Ur-Rehman (2022), "Economic Integration of Renewable and Conventional Power Sources – a Case Study", Energies, pp: 2141, Vol: 15, Issue: 6, DOI: https://doi.org/10.3390/en15062141, Impact Factor: 3.004    (External URL)
15. Muhammad Mateen Afzal Awan, Muhammad Yaqoob Javed, Aamer Bilal Asghar*, Krzysztof Ejsmont (2022), "Performance Optimization of a Ten Check MPPT algorithm for an Off-Grid Solar Photovoltaic System", Energies, pp: 2104, Vol: 15, Issue: 6, DOI: https://doi.org/10.3390/en15062104, Impact Factor: 3.004    (External URL)
16. Aamer Bilal Asghar, Saad Farooq, Muhammad Shahzad Khurram, Mujtaba Hussain Jaffery, Krzysztof Ejsmont (2022), "Estimation of the Solid Circulation Rate in Circulating Fluidized Bed System Using Adaptive Neuro-Fuzzy Algorithm", Energies, pp: 211, Vol: 15, Issue: 1, DOI: https://doi.org/10.3390/en15010211, Impact Factor: 3.004    (External URL)
17. Mariam Qaisar, Aamer Bilal Asghar, Mujtaba Hussain Jaffery, Yaqoob Javed, Moeen-ud-Din Ghauri, Muhammad Shahzad Khurram (2021), "Flow Control of Hydrogen Fuel in PEM Fuel Cell Using Soft Computing Techniques", Journal of Ovonic Research, pp: 31-44, Vol: 17, Issue: 1, Impact Factor: 0.687    (External URL)
18. Yashuang Mu, Lidong Wang, Xiaodong Liu and Aamer Bilal Asghar (2019), "A parallel tree node splitting criterion for fuzzy decision trees", Concurrency and Computation: Practice and Experience, Vol: 31, Issue: 17, DOI: https://doi.org/10.1002/cpe.5268, Impact Factor: 1.114    (External URL)
19. Aamer Bilal Asghar, Xiaodong Liu (2018), "Estimation of wind speed probability distribution and wind energy potential using adaptive neuro-fuzzy methodology", Neurocomputing, pp: 58-67, Vol: 287, DOI: https://doi.org/10.1016/j.neucom.2018.01.077, Impact Factor: 3.317    (External URL)
20. Aamer Bilal Asghar, Xiaodong Liu (2018), "Online estimation of wind turbine tip speed ratio by adaptive neuro-fuzzy algorithm", International Journal of Advanced Computer Science and Applications, pp: 28-33, Vol: 9, Issue: 3, Impact Factor: ESCI, ISI Indexed     (External URL)
21. Aamer Bilal Asghar, Xiaodong Liu (2018), "Adaptive neuro-fuzzy algorithm to estimate effective wind speed and optimal rotor speed for variable-speed wind turbine", Neurocomputing, pp: 495-504, Vol: 272, DOI: https://doi.org/10.1016/j.neucom.2017.07.022, Impact Factor: 3.317    (External URL)
22. Aamer Bilal Asghar, Xiaodong Liu (2017), "Estimation of wind turbine power coefficient by adaptive neuro-fuzzy methodology", Neurocomputing, pp: 227-233, Vol: 238, DOI: https://doi.org/10.1016/j.neucom.2017.01.058, Impact Factor: 3.317    (External URL)

Qualification

PhD Control Theory & Control Engineering
Faculty of Electronic Information & Electrical Engineering, Dalian University of Technology (DUT), Dalian, P.R. China
Sep 2015 to Dec 2018
   
MS Electrical Engineering
GC University Lahore, Pakistan
Oct 2011 to Dec 2013
   
B.Sc Electronics Engineering
UCET-IUB , Pakistan
Jul 2004 to Dec 2008
   

Experience

Assistant Professor
COMSATS University Islamabad, Lahore Campus
Jan 2019 to Date
   
PhD Research Scholar
Dalian University of Technology (DUT), P.R. China
Sep 2015 to Dec 2018
   
Lecturer
COMSATS University Islamabad, Lahore Campus
Apr 2014 to Aug 2015
   
Regional Team Lead
LCC Pvt. Ltd
Aug 2013 to Apr 2014
   
Lecturer
Hajvery University Lahore, Pakistan
Sep 2012 to Aug 2013
   
Lecturer
QCET affiliated with UET Lahore
Aug 2009 to Nov 2011
   
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