Postdoctoral Research Fellow at Shenzhen University, China .
Dr. Hazrat Bilal is a highly accomplished researcher and Postdoctoral Fellow at Shenzhen University, China. With a Ph.D. in Control Science & Engineering from the University of Science & Technology of China, he brings exceptional expertise in intelligent robotics, deep learning, and fault diagnosis. Dr. Bilal has authored over 30 high-impact publications and has earned 1200+ citations (h-index: 12). His outstanding academic record is complemented by rich industry experience and several prestigious fellowships and awards. A dedicated IEEE member and registered engineer with PEC, he is passionate about pushing the boundaries of intelligent automation. His remarkable early-career accomplishments and leadership in research make him a strong candidate for the Young Scientist Award.
🌍 Professional Profile:
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🏆 Suitability for the Best Researcher Award
Dr. Hazrat Bilal is a highly deserving candidate for the Young Scientist Award, with an exceptional academic record (Ph.D., USTC, GPA 3.88/4.00; M.S., NUST, GPA 3.85/4.00). As a Postdoctoral Fellow at Shenzhen University, he has made significant contributions to intelligent robotics, fault diagnosis, and AI-driven control systems. With over 15 high-impact Q1/Q2 journal publications—including in the IEEE IoT Journal, Soft Computing, Bioengineering, and Human-centric Computing—his research demonstrates innovation and practical value. His interdisciplinary work in blockchain-enabled IoRT, fuzzy-ADRC control, and AI for medical and UAV systems reflects his leadership in emerging technologies. With over 1200 citations and global collaborations, Dr. Bilal stands out as a promising young researcher committed to advancing intelligent and sustainable technologies.
🎓 Education
Dr. Hazrat Bilal’s academic journey reflects a commitment to excellence in engineering and research. He earned his Ph.D. in Control Science & Engineering from the University of Science & Technology of China (2018–2024), maintaining an exceptional GPA of 3.88/4.00. Prior to that, he completed his Master’s degree in the same field at Nanjing University of Science & Technology (2015–2018) with a GPA of 3.85/4.00 and received an Outstanding Graduate Certificate. His undergraduate studies in Electrical (Electronics) Engineering were completed at FUUAST Islamabad, Pakistan (2010–2014), earning a GPA of 3.18/4.00. This strong academic foundation underpins his work in robotics, automation, and advanced control systems.
🏢 Work Experience
Dr. Bilal brings interdisciplinary and global experience from academia and industry. He worked as a Performance Software Engineer at ZF Friedrichshafen, Shanghai, where he developed vision algorithms and optimized embedded system performance. Prior to that, he served as a Telecom Engineer at Real Solution Pvt. Ltd., Pakistan, contributing to 3G system installations and RF optimization. He also worked at Dargai Hydropower Plant as a Control Engineer, where he led power generation and preventive maintenance operations. Additionally, he completed internships and technical training at the National Telecommunication Corporation, University of Tennessee (USA), and CAE Pakistan. These roles have refined his expertise in automation, control systems, robotics, and smart grid technologies.
🏅 Awards and Honors
Dr. Hazrat Bilal has received numerous awards recognizing his academic excellence and innovation. He is a recipient of the CAS-TWAS Fellowship Award at USTC and the NMG-NUST Joint Scholarship for his master’s studies. His exceptional performance earned him the Outstanding Graduate Certificate from Nanjing University of Science & Technology. As an undergraduate, he was awarded scholarships from Akhuwat Foundation and Pakistan Bait-ul-Mal, along with a Prime Minister’s Laptop under the national scheme. He secured funding for his final-year project through the National Grassroots ICT R&D Program. Dr. Bilal also received a Letter of Appreciation from IEEE FUUAST and continues to excel as an IEEE member and professional contributor to engineering societies.
🔬 Research Focus
Dr. Hazrat Bilal’s research lies at the intersection of robotic control systems, artificial intelligence, and fault diagnosis. His recent works emphasize hybrid deep learning algorithms for the Internet of Robotic Things (IoRT), adaptive control of flexible manipulators, and trajectory tracking. He has proposed advanced techniques integrating fuzzy logic, ADRC, CNNs, LSTMs, and blockchain for secure, intelligent, and resilient systems. His current research includes generative AI for traffic simulation, nanorobot control, and intelligent medical diagnosis using AI. Dr. Bilal’s work contributes significantly to the future of smart manufacturing, healthcare, and autonomous vehicles. His focus on interdisciplinary, experimental, and data-driven approaches positions him as a leader in intelligent control systems.
📊 Publication Top Notes:
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Title: A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things
Authors: H. Xu, Z. Sun, Y. Cao, H. Bilal
Journal: Soft Computing, 27(19), 14469–14481
Citations: 172
Year: 2023
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Title: Pruning filters with L1-norm and capped L1-norm for CNN compression
Authors: A. Kumar, A. M. Shaikh, Y. Li, H. Bilal, B. Yin
Journal: Applied Intelligence, 51(2), 1152–1160
Citations: 147
Year: 2021
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Title: A practical study of active disturbance rejection control for rotary flexible joint robot manipulator
Authors: H. Bilal, B. Yin, M. S. Aslam, Z. Anjum, A. Rohra, Y. Wang
Journal: Soft Computing, 27(8), 4987–5001
Citations: 128
Year: 2023
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Title: Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach
Authors: H. Bilal, B. Yin, A. Kumar, M. Ali, J. Zhang, J. Yao
Journal: Soft Computing, 27(7), 4029–4039
Citations: 118
Year: 2023
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Title: Experimental validation of fuzzy PID control of flexible joint system in presence of uncertainties
Authors: H. Bilal, W. Yao, Y. Guo, Y. Wu, J. Guo
Conference: 2017 36th Chinese Control Conference (CCC), 4192–4197
Citations: 115
Year: 2017
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Title: Real-time lane detection and tracking for advanced driver assistance systems
Authors: H. Bilal, B. Yin, J. Khan, L. Wang, J. Zhang, A. Kumar
Conference: 2019 Chinese Control Conference (CCC), 6772–6777
Citations: 101
Year: 2019
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Title: Regional feature fusion for on-road detection of objects using camera and 3D-LiDAR in high-speed autonomous vehicles
Authors: Q. Wu, X. Li, K. Wang, H. Bilal
Journal: Soft Computing, 27(23), 18195–18213
Citations: 90
Year: 2023
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Title: Reduction of multiplications in convolutional neural networks
Authors: M. Ali, B. Yin, A. Kunar, A. M. Sheikh, H. Bilal
Conference: 2020 39th Chinese Control Conference (CCC), 7406–7411
Citations: 85
Year: 2020
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Title: Second-order convolutional network for crowd counting
Authors: L. Wang, Q. Zhai, B. Yin, H. Bilal
Conference: Fourth International Workshop on Pattern Recognition, 11198, 158–163
Citations: 83
Year: 2019
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Title: A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways
Authors: H. Dou, Y. Liu, S. Chen, H. Zhao, H. Bilal
Journal: Soft Computing, 27(21), 16373–16388
Citations: 82
Year: 2023
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Title: Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection
Authors: M. Ali, B. Yin, H. Bilal, A. Kumar, A. M. Shaikh, A. Rohra
Journal: Multimedia Tools and Applications, 83(12), 36307–36327
Citations: 50
Year: 2024