I am Dr. Muhammad Abu Bakr, an Assistant Professor in the Department of Electrical Engineering at the National University of Technology (NUTECH), Islamabad. With over 6 years of experience in both academia and the tech industry, my primary research interests lie in Information Processing, Autonomous Systems, Precision Agriculture, Robotics and Renewable Energy. I am passionate about exploring how data-driven models can solve real-world problems. My teaching philosophy centers on fostering active student engagement and participation. Teaching, in my view, is a noble profession and a continual learning journey.
Assistant Professor & Head of Department, Department of Electrical Engineering, National University of Technology, Islamabad (2019–2025)
- Teaching, Research and Services
Associate Professor Department of Electrical Engineering, National University of Technology, Islamabad (2019–2025)
I have taught a variety of undergraduate and graduate-level courses in the Electrical Engineering Department. Below are the courses I have been involved in teaching:
- Circuits and Electronics
- Electrical Network Analysis
- Linear Algebra and ODEs
- Linear Control Systems
- Robotics and Automation
- Intelligent Robotics
My research focuses on data fusion, state estimation, and intelligent control systems, with applications in distributed systems, renewable energy, and precision agriculture. Key contributions include developing AI-driven solutions for autonomous systems, precision agriculture, renewable energy optimization, and fault diagnostics. With a strong foundation in multisensor data fusion and advanced control techniques, my work bridges theoretical innovation and practical implementation, resulting in patents, high-impact publications, and collaborative industrial projects.
Ongoing Research Projects
- Artificial Intelligence (AI) based Smart Precision Agriculture for Rural Areas of Pakistan
Publications
- Aqeel Ahmad, and Muhammad Abu Bakr, “Enhancing Breast Cancer Diagnosis with Integrated Dimensionality Reduction and Machine Learning Techniques”, Journal of Computing and Biomedical Informatics (2024)
- Muhammad Faheem, Muhammad Abu Bakr, Muntazir Ali, and M Awais Majeed, “Evaluation of Efficiency Enhancement in Photovoltaic Panels via Integrated Thermoelectric Cooling and Power Generation” Energies (2024).
- S Wajiha Zahra, M Nadeem, Ali Arshad, Saman Riaz, Waqas A, Muhammad Abu Bakr, A Alabrah, “Emergence of Novel WEDEx-Kerberotic Cryptographic Framework to Strengthen the Cloud Data Security against Malicious Attacks” Symmetry (2024).
- M Nadeem, S Wajiha, Ali Arshad, S Riaz, Muhammad Abu Bakr, A Kumar Dutta, Z Alzaid, B Almotairi, S Almotairi, “An Innovative Approach using TKN-Cryptology for Identifying the Replay Assault”. Computers, Materials & Continua (2023).
- Muhammad Akmal, Muhammad Irfan Abid, Muhammad Abu Bakr, Omer Khan, Nasir Saeed, “A Fast Convergent and Robust Classifier for Multi-Way Corrupted EEG Signals” Multimedia Tools and Applications (2023).
- M Suleman Malik, M Omer Khan, Muhammad Abu Bakr, Mubasher Ahmed, “Analysis of Energy Management and Battery Sizing in an Off-grid Hybrid Solar Thermo-Electric Generation System” Energy Technology, (2022): 2100732.
- Muhammad Abu Bakr and Sukhan Lee, “A Framework of Covariance Projection on Constraint Manifold for Data Fusion.” Sensors, (2019): 1610.
- Sukhan Lee and Muhammad Abu Bakr, “Covariance Projection as a General Framework of Data Fusion and Outlier Removal” Springer Lecture Notes in Electrical Engineering, vol 501. 5-21, (2018).
- Muhammad Abu Bakr and Sukhan Lee, “On Multitrack Fusion under Unknown Correlation” IET Radar, Sonar & Navigation, (2018): 1251-1259.
- Muhammad Abu Bakr and Sukhan Lee, “Distributed Multisensor Data Fusion under Unknown Correlation and Data Inconsistency.” Sensors, (2017): 2472.
