Dr. Muhammad Ali Akbar is a researcher specializing in digital hardware design, dependable computing, intelligent systems, and artificial intelligence. His research career has focused on developing reliable and resource-efficient hardware and intelligent computing solutions for emerging applications.
During his master’s research, Dr. Akbar investigated self-checking hardware architectures, with particular emphasis on fault propagation in digital systems. He developed a novel self-checking adder architecture in which fault detection is independent of the propagated carry, addressing a key challenge in the design of reliable arithmetic circuits. Following his master’s degree, he joined Qatar University as a researcher, where he expanded his research into sensor data processing for gas identification and coordinated robotic systems for structural health monitoring. During his PhD, he further advanced his work in dependable computing through the development of a novel self-checking cryptographic processor. As a postdoctoral researcher at Hamad Bin Khalifa University (HBKU), Qatar, he worked on dynamic resource optimization for convolutional neural networks and lightweight AI algorithms, with an emphasis on efficient and resource-aware intelligent computing.
Dr. Akbar’s broader research interests span digital logic and hardware design, fault-tolerant and self-checking systems, robotics, computer vision, IoT, and AI-enabled computing. He has authored more than 15 peer-reviewed journal articles and over 10 international conference publications. His academic and engineering achievements include the Best Engineering Design Award at the National Engineering Robotic Competition (NERC-2010) and fourth place in the INVENT-2011 All Pakistan Entrepreneurial Challenge.
|
Peer Reviewed Journals
|
19
|
|
Peer Reviewed Conferences
|
11
|
Selected Publications
J1. Muhammad Ali Akbar, B. Wang, and A. Bermak, “DROPc—Dynamic Resource Optimization for Convolution Layer,” Electronics, vol. 14, no. 13, 2025.
J2. Muhammad Ali Akbar, A. Shikfa, B. Wang, and A. Bermak, “Self-Checking Hardware Design for Montgomery Exponentiation-Based Cryptography,” IEEE Access, vol. 12, pp. 119915–119926, 2024.
J3. Muhammad Ali Akbar, B. Wang, and A. Bermak, “Self-Repairing Carry-Lookahead Adder with Hot-Standby Topology Using Fault-Localization and Partial Reconfiguration,” IEEE Open Journal of Circuits and Systems, vol. 3, pp. 50–58, 2022.
J4. Muhammad Ali Akbar, B. Wang, and A. Bermak, “A High-Speed Parallel Architecture for Ripple Carry Adder with Fault Detection and Localization,” Electronics, vol. 10, no. 15, 2021.
J5. Muhammad Ali Akbar, B. Wang, and A. Bermak, “Self-Repairing Hybrid Adder with Hot-Standby Topology Using Fault-Localization,” IEEE Access, vol. 8, pp. 150051–150058, 2020.
J6. Muhammad Ali Akbar, U. Qidwai, and M. R. Jahanshahi, “An Evaluation of Image-Based Structural Health Monitoring Using Integrated UAV Platform,” Structural Control and Health Monitoring, vol. 26, no. 1, 2018.
J7. Muhammad Ali Akbar, A. A. Ali, A. Amira, F. Bensaali, M. Benammar, M. Hassan, and A. Bermak, “An Empirical Study for PCA and LDA Based Feature Reduction for Gas Identification,” IEEE Sensors Journal, vol. 16, no. 14, pp. 5734–5746, 2016.
J8. Muhammad Ali Akbar and Lee Jeong A, “Self-Repairing Adder Using Fault Localization,” Microelectronics Reliability, vol. 54, nos. 6–7, pp. 1443–1451, 2014.
J9. Muhammad Ali Akbar and Lee Jeong A, “Comments on Self-Checking Carry Select Adder Design Based on Two-Rail Encoding,” IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I), vol. 61, no. 7, pp. 2212–2214, 2014.
J10. M. S. Iqbal, S. Munawar, M. Adnan, A. Raza, Muhammad Ali Akbar, and A. Bermak, “A Critical Review of Technical Case Studies for Electricity Theft Detection in Smart Grids: A New Paradigm Based Transformative Approach,” Energy Conversion and Management: X, vol. 26, p. 100965, 2025
