Associate Professor at Yango University, Pakistan
Dr. Syed Muhammad Waqas is a dedicated researcher and academic with a strong background in computer science and a specialization in next-generation wireless networks. An IEEE member, he has contributed significantly to the field of vehicular communication through innovative work in radio resource management, machine learning, and network optimization. Dr. Waqas has earned both his Master’s and PhD degrees from Xian Jiaotong University, China, under prestigious Chinese Government Scholarships. He brings a mix of academic excellence, international research exposure, and a passion for emerging technologies.
🔹Professional Profile:
Scopus Profile
Orcid Profile
🎓Education Background
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Ph.D. in Computer Science (2020.09–2024.06)
Xian Jiaotong University, Shaanxi, China
Dissertation: Efficient Resource Distribution Frameworks for Next Generation V2X Wireless Networks
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MS in Computer Science (2018.09–2020.06)
Xian Jiaotong University, Shaanxi, China
Dissertation: QoS Performance Evaluation of RIPng, OSPFV3 and EIGRPV6 in IPv6 Networks
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BS in Computer Science (2011.03–2015.06)
The Islamia University of Bahawalpur, Pakistan
💼 Professional Development
Dr. Waqas began his academic career as a Lecturer in Computer Science at the Institute of Engineering and Technology, Lahore, Pakistan (2015–2018). During his time in China, he has been involved in several research projects, notably an R&D project on programmable network endogenous security technologies at XJTU. His teaching skillset includes differentiated instruction, data analysis, classroom management, and technology integration.
🔬Research Focus
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5G/6G Wireless and Vehicular Networks (V2X)
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Radio Resource Management (RRM)
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Machine Learning & Deep Learning
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Cyber Security & Blockchain
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Mobile & Computer Networks
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Quantum-inspired Algorithms
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Web3 Technologies
📈Author Metrics:
Dr. Waqas has published in several top-tier Q1 journals and IEEE conferences:
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Expert Systems with Applications (IF: 8.5)
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Computer Communications (IF: 6.0)
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IEEE Vehicular Technology Conference (VTC2024)
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IEEE/ACM Transactions on Networking (Under Review)
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Journal of Parallel and Distributed Computing (IF: 4.0)
His work often explores duplex deep reinforcement learning, full-duplex mechanisms, flexible graph neural networks, and quantum-inspired optimization for hybrid clouds.
🏆Awards and Honors:
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Academic Research Award, XJTU
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Fully Funded Chinese Government Scholarship for MS and PhD studies
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Participation in international training workshops organized by IKCEST and CISCO Networking Academy
📝Publication Top Notes
1. Triboelectric-Inertial Sensing Glove Enhanced by Charge-Retained Strategy for Human-Machine Interaction
Authors: B. Yang, J. Cheng, X. Qu, Y. Song, L. Yang, J. Shen, Z. Bai, L. Ji
Journal: Advanced Science, Volume 12, Issue 3, Article 2408689
Year: 2025
Citations: Pending (2025)
Summary:
This study presents a triboelectric-inertial sensing glove enhanced by a charge-retained strategy designed for human-machine interaction. The glove provides self-powered and precise sensing for capturing hand movements and gestures, which can be applied in various wearable technologies, including virtual reality and robotics.
2. Self-powered Intelligent Badminton Racket for Machine Learning-Enhanced Real-Time Training Monitoring
Authors: J. Yuan, J. Xue, M. Liu, L. Wu, J. Cheng, X. Qu, D. Yu, E. Wang, Z. Fan, Z. Liu, et al.
Journal: Nano Energy, Volume 132, Article 110377Year: 2024
Citations: Pending (2024)
Summary:
This research introduces a self-powered intelligent badminton racket, which integrates triboelectric nanogenerators with machine learning algorithms to provide real-time training monitoring. It enhances the user experience by offering performance feedback during training, making it ideal for athletes and coaches seeking to improve game strategies.
3. Charge Pumping Triboelectric Nanogenerator with Dust Clearance and Elastic Support for Wind Energy Harvesting
Authors: Z. Yang, J. Shen, X. Qu, Z. Lai, L. Ji, J. Cheng
Journal: Nano Energy, Volume 131, Article 110263
Year: 2024
Citations: Pending (2024)
Summary:
This paper discusses the development of a charge-pumping triboelectric nanogenerator designed for wind energy harvesting. The device integrates dust clearance and elastic support mechanisms to enhance the energy efficiency and durability of wind-based energy harvesters, promising advancements in sustainable energy collection.
4. Bias-Free Cardiac Monitoring Capsule
Authors: X. Qu, S. Cheng, Y. Liu, Y. Hu, Y. Shan, R. Luo, S. Weng, H. Li, H. Niu, M. Gu, et al.
Journal: Advanced Materials, Volume 36, Issue 33, Article 2402457
Year: 2024
Citations: Pending (2024)
Summary:
This study introduces a bias-free cardiac monitoring capsule designed for continuous, non-invasive heart health monitoring. The capsule leverages advanced sensor technology for precise cardiac measurements, offering a more accurate and reliable alternative to traditional heart monitoring methods, with potential applications in personalized medicine.
5. Load-Suspended Power Backpack for Labor Saving and Energy Harvesting from Human Walk
Authors: Z. Yang, Y. Yang, J. Shen, A. Li, X. Qu, Z. Lai, L. Ji, J. Chen, J. Cheng
Journal: Nano Energy, Volume 121, Article 109190
Year: 2024
Citations: Pending (2024)
Summary:
This paper presents a load-suspended power backpack that combines labor-saving features with energy harvesting from human walking motion. The backpack can power electronic devices through kinetic energy generated by walking, offering a sustainable solution for off-grid power generation, especially for outdoor and military applications.
Conclusion:
Dr. Syed Muhammad Waqas is a highly deserving candidate for the Best Academic Researcher Award due to his outstanding contributions to the field of wireless networks, machine learning, and vehicular communications. His work addresses critical challenges in modern communication technologies, particularly in the context of 5G/6G and V2X networks, which are foundational to the future of smart cities, autonomous vehicles, and interconnected systems. With an impressive publication record, significant academic awards, and a strong commitment to teaching, Dr. Waqas exemplifies the qualities of an exceptional researcher and educator.