Muhammad Shoaib Ali
Lecturer
Department of Telecommunication Engineering , Faculty of ICT

muhammad.shoaib@buitms.edu.pk
Extension No: 415

Qualification

Ph.D. (2023)
Ph.D (Electrical Engineering)
University of Malaya, Malaysia
Master's (2020)
MS (Electrical Engineering)
University of Malaya, Malaysia
Bachelor's (2009)
BS (Telecommunication Engineering)
BUITEMS, Pakistan

Teaching Courses

  • Signals and Systems
  • Digital Signal Processing
  • Digital Communication
  • Linear Algebra
  • Probability Methods in Engineering
  • Artificial Intelligence
  • Optimization Theory
  • Stochastic Process
  • Digital Image Processing
  • Communication Systems
  • Advance Digital Communication
  • Advance Digital Signal Processing

Teaching Method

  • Spaced Learning
  • Visual, Audio, & Kinesthetic Teaching
  • Crossover Learning

Membership

  • Pakistan Engineering Council
  • Senior IEEE Member

Awards & Achivements

  • Best Teacher Award, FICT
    2014
Dr. Muhammad Shoaib Ali is currently serving as Lecturer, Department of Electrical Engineering, Faculty of ICT at BUITEMS Quetta. With more than 12 years in academia, Dr. Shoaib has been actively involved in both teaching and research. Alongside his academic responsibilities, he also holds the position of Coordinator for Graduate Studies and Final Year Projects in the Department of Electrical Engineering. He has been recognized as a Senior IEEE Member. He earned his Ph.D. in Electrical Engineering from the University of Malaya, Malaysia, where he was associated with the Medical Imaging Laboratory. His research focuses on AI, deep learning, and signal processing. His doctoral research involved developing deep learning approaches for medical imaging applications, and his ongoing work extends these methods to broader domains, including image and speech processing. He currently supervises Ph.D. and master’s students, fostering innovation and applied research across multiple areas.

Publications

Deep Learning Techniques for Image Segmentation and Data Annotation
Talha Mir Muhammad Ali Shoaib, Raza Ali, Sibghat Ullah Bazai (2025) IGI Global vol. - no. - pp. 63-94
An overview of deep learning methods for left ventricle segmentation
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Khairunnisa Hasikin, Azira Khalil, Yan Chai Hum, Yee Kai Tee, Samiappan Dhanalakshmi, Khin Wee Lai (2023) Computational intelligence and neuroscience vol. 2023 no. 1 pp. 4208231
Fully Automatic Left Ventricle Segmentation Using Bilateral Lightweight Deep Neural Network
Muhammad Ali Shoaib, Joon Huang Chuah, Raza Ali, Samiappan Dhanalakshmi, Yan Chai Hum, Azira Khalil, Khin Wee Lai (2023) Life vol. 13 no. 1 pp. 124
Crack segmentation network using Tversky loss function with variable alpha and beta
Raza Ali, Joon Huang Chuah, Mohamad Sofian Abu Talip, Norrima Mokhtar, Muhammad Ali Shoaib (2022) 2022 IEEE Symposium on Industrial Electronics & Applications (ISIEA) vol. - no. - pp. 1-5
Structural crack detection using deep convolutional neural networks
Raza Ali, Joon Huang Chuah, Mohamad Sofian Abu Talip, Norrima Mokhtar, Muhammad Ali Shoaib (2022) Automation in Construction vol. 133 no. - pp. 103989
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Work Experience

January 2013 to September 2025
Lecturer at Faculty of Information & Communication Technology
BUITEMS
April 2010 to March 2011
Lecturer at Department of Mathematics
Govt MAO College Lahore