Researches AI and Machine Learning Research Group

AI and Machine Learning Research Group



1. Introduction:

The AI and Machine learning Research Group is an interdisciplinary center for research and education at Military College of Signals with an emphasis on industrial relevance.  The group includes five faculty members from the Department of Electrical Engineering.

2. Research Areas

3. Group Members

S/No Name Designation​ Specialization
a. Shibli Nisar ​Head AI & Signal Processing
b. Muhammad Kamran ​Member AI & Signal Processing
c. Alina Mirza ​Member AI & Signal Processing
d. Javed Iqbal ​Member AI & Signal Processing
e. Amir Ali Member AI & Signal Processing

 

4. Publications

The group has an impressive track record, with over 40 research papers published in prestigious journals and conferences. For further details, please visit Shibli Nisar’s Faculty Page .

  • Minimizing Viral Transmission in COVID-19 Like Pandemics: Technologies, Challenges, and Opportunities January 15, 2023Shibli Nisar, Abdul Wakeel, Wania Tahir, Muhammad Tariq, IEEE Sensors Journal – Volume: 23, Issue: 2, Page(s): 922-932
  • Adaptive fuzzy controller based early detection and prevention of asymmetrical faults in power systems January 01, 2023Mansoor Ali, Kuljeet Kaur, Muhammad Adnan, Shibli Nisar, Control Engineering Practice – Volume 130, Article Number 105380
  • A Privacy Preserved Internet of Medical Things Scheme for Eradication and Control of Dengue using UAV October 10, 2022Amir Ali, Shibli Nisar, Muhammad Asghar Khan, Syed Agha Hassnain Mohsan, Fazal Noor, Hala Mostafa, Mohamed Marey, Micromachines – Volume 13(10), Article Number 1702.
  • Speech Recognition-Based Automated Visual Acuity Testing with Adaptive Mel Filter Bank February 01, 2022Shibli Nisar, Muhammad Asghar Khan, Fahad Algarni, Abdul Wakeel, M. Irfan Uddin, Insaf Ullah, CMC-Computers, Materials & Continua – Volume.70, No.2, Pages 2991-3004
  • Design and Analysis of a Dual Rotor Multiphase Brushless DC Motor for its Application in Electric Vehicles December 15, 2021Mujtaba Hussain, Abasin Ulasyar, Haris Sheh Zad, Abraiz Khattak, Shibli Nisar, Kashif Imran, Engineering, Technology & Applied Science Research – Volume 11, No. 6, Pages 7846-7852
  • Hierarchical Control of Microgrid Using IoT and Machine Learning Based Islanding Detection July 27, 2021Waleed Ali, Abasin Ulasyar, Mussawir Ul Mehmood, Abraiz Khattak, Kashif Imran, Haris Sheh Zad, Shibli Nisar, IEEE Access – Volume 9, Pages 103019-103031

5. PhD Students

The group is currently supervising over ten PhD students. Detail of few PhD students are given below:

  • NS Naeem Khan
  • NS Saba Afzal
  • NS Fazeel Ali Awan (IS)
  • NS Anwar Zeb (IS)
  • NS Mehmood Ul Hassan (IS)
  • NS Hafiza Fareeha Jabeen
  • NS Sardar Un Nisa
  • NS Saira Jabeen
  • NS Qurrat Ul Ain

6. Projects

This group has supervised number of UG projects. Few projects are given below:

  • Federated DeepXRay: Pioneering Disease Detection of Critical Pathologies in Chest X-Ray Imagery
  • Smart Solar Photovoltaic Panel Cleaning System
  • Overlap speech separation system
  • Punjabi Speech Recognition System Using Wav2Vec model
  • Multi speaker segmentation
  • Classification of x-rays based on machine learning
  • Abusive Language Detector

Contact Person

[email protected]