Dr. Syed Muhammad Waqas
Xi'an Jiaotong University
Research areas: Computer Science · Artificial Intelligence · Advanced Clustering Algorithms Research · Bayesian Methods and Mixture Models · Metaheuristic Optimization Algorithms Research
0000-0002-1165-7628
About
Dr. S.M. Waqas (Class A Talent) is an Associate Professor at EI & IRI, PR China. He is an active member of the Institute of Electrical and Electronics Engineers, USA and the China Computer Federation. He is a recipient of the Outstanding Associate Professor Award from EI & IRI and the Best Research Award from Xi’an Jiaotong University (XJTU). He earned his Ph.D. (2020–2024) and Master’s degree (2018–2020) in Computer Science and Technology from XJTU, a C9 League (Double First Class A) university in China.
His research interests include 5G/6G wireless networks, vehicular communications, machine learning, wireless resource management, computer networks, integrated sensing and communication (ISAC), and UAV communications. He has authored numerous high-impact publications in leading international journals, with most appearing in JCR Q1 journals and Chinese Academy of Sciences Top-ranked journals. His work has been published in prestigious venues such as IEEE Transactions on Wireless Communications (JCR Q1, Chinese Academy of Sciences Top, Impact Factor 10.3), IEEE Internet of Things Journal (JCR Q1, Chinese Academy of Sciences Top, Impact Factor 8.9), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JCR Q1, Chinese Academy of Sciences Top, Impact Factor 6.3), Expert Systems with Applications (JCR Q1, Chinese Academy of Sciences Top, Impact Factor 9.4), Swarm and Evolutionary Computation (JCR Q1, Chinese Academy of Sciences Top, Impact Factor 9.6), Computer Communications (JCR Q1, Impact Factor 6.0), IEEE Transactions on Emerging Topics in Computational Intelligence (JCR Q1, Impact Factor 6.5), and Journal of Parallel and Distributed Computing (JCR Q1, Impact Factor 4.0), among others.
Dr. Waqas has been recognized as a High-Level Talent (Category D) by the Fuzhou Government and has received full scholarships from the Chinese Government for both his master’s and doctoral studies. He serves as a reviewer for several SCIE-indexed international journals and has completed professional training in AI-enhanced engineering education and emerging network technologies by Ministry of Education.
Employment
Employment history is unavailable.
Education
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Xi'an Jiaotong University PhD (Computer Science & Technology)2020 - 2024
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Xian Jiaotong University MS (Computer Science & Technology)2018 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Perception-Aware Offloading With Collaborative Ground–Space Beamforming for Resilient SAGIN Communications Save
- Addressing Missing-Modality Data Quality Issues in Multimodal Remote Sensing via Automated Encoder Architecture Search Save
- Automatic Similarity Feature Combination for Knowledge Graph Alignment via Adaptive-Designed Particle Swarm Optimization With Genetic Programming Save
- Dynamic Resource Allocation for RIS-Assisted Full-Duplex ISAC via Hybrid Lagrangian-DRL Approach Save
- Lyapunov-Guided TD3 for Secure Hyperspectral Image Transmission in STAR-RIS-Assisted Wireless Networks Save
- Cost-aware quantum-inspired genetic algorithm for workflow scheduling in hybrid clouds Save
- FGNN-based Improved Resource Distribution Framework for V2X Wireless Networks Save
- “FGNN-based Improved Resource Distribution Framework for V2X Wireless Networks Save
- A novel duplex deep reinforcement learning based RRM framework for next-generation V2X communication networks Save
- A joint cluster-based RRM and Low-latency framework using the full-duplex mechanism for NR-V2X networks Save