ENGR. DR. TAIMOOR ZAFAR
| PERSONAL INFORMATION | |||
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| taimoorzafar.bukc@bahria.edu.pk | |||
| Phone. Ext. | 03002253138 | ||
| Research Area | Non-destructive testing, Reliability analysis of critical infrastructures, Diagnosis and Prognosis frameworks, Predictive-based maintenance, acoustics, and control & Automation. | ||
| Number of Publications | 15 | ||
| QUALIFICATION | |||
| DEGREE | PASSING YEAR | MAJORS | UNIVERSITY |
| PhD (Electrical) | 2022 | Health Diagnosis and Prognosis of Electrical Infrastructures | Bahria University |
| M.E (Electrical) | 2011 | Control and Automation | Hamdard University (Usman Institute of Technology) |
| B.E (Electronics) | 2009 | Industrial Electronics | Hamdard University (Usman Institute of Technology) |
| TEACHING EXPERIENCE | |||
| DESIGNATION | FROM | TO | ORGANIZATION |
| PhD Research Student (Part Time) | 01-Jan-2015 | 30-Jun-2022 | NUST-PNEC, NDT & Reliability Engineering Research Center |
| Automation Engineer | 01-Aug-2009 | 31-Aug-2011 | Ever Right Precise Engineers |
| Senior Assistant Professor | 26-Sep-2011 | 29-Aug-2025 | Bahria University Karachi Campus |
| Associate Professor | 30-Sep-2025 | Present | Bahria University Karachi Campus |
Publications
Journals & Conferences
- Analysis of fluctuating dynamics of watermasses through oceanic environment at Pakistan southern oceanic region | Science International
- To investigate the performance of microwave communications in a strong metrological ducting environment in Pakistan southern region | Science International
- Designing of a communication system for paramedic application at 2.4 GHz | Bahria University Journal of Information & Communication Technologies
- Health diagnosis scheme for in-service low voltage Aerial Bundled Cables using super-heterodyned airborne Ultrasonic testing | Electric Power System Research
- Hybrid Resampling Scheme for Particle Filter Based Inversion | IET Science, Measurement & Technology
- Novel Health Diagnostics schemes analyzing corona discharge of operational Aerial Bundled Cables in coastal regions | IEEE Transactions on Power Delivery
- Prognosis study of live aerial bundled cables in coastal areas using historical super-heterodyne ultrasonic listening data | Electric Power Systems Research (Elsevier)
- Degradation prognostics of aerial bundled cables based on multi-sensor data fusion | Nondestructive Testing and Evaluation (Taylor & Francis)
- Particle Filter Based Multi-sensor Fusion for Remaining Service Life Estimation of Energized LV-Aerial Bundled Cables | International Journal of Innovations in Science & Technology
- Potential Challenges and Solutions for Implementing NOMA in Smart Grid | International Journal of Innovations in Science & Technology
- A Comparative Analysis of BER Performance for NOMA in the Presence of Rayleigh Fading and Impulse Noise | International Journal of Innovations in Science & Technology
- An Advanced 2-Output DNN Model for Impulse Noise Mitigation in NOMA-Enabled Smart Energy Meters | International Journal of Innovations in Science Technology
- Prediction of Time to Failure (TTF) of Power Systems Using a Deep Learning Technique | Journal of Hunan University Natural Sciences
- Performance Evaluation of Fake News Detection Using Artificial Intelligence Techniques | International Journal of Innovations in Science Technology
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