Dr. Peng Yingsheng | Edge Computing | Best Researcher Award

Dr. Peng Yingsheng | Sun Yat-sen University | China

Dr. Peng Yingsheng is an emerging researcher specializing in cutting-edge wireless communication technologies, with a strong focus on mobile edge computing, reinforcement learning, and intelligent reflection surfaces. His work explores the integration of artificial intelligence and advanced signal processing to enhance network efficiency, adaptability, and resource allocation in next-generation communication systems. Through his research, Dr. Peng Yingsheng contributes to optimizing network architectures that support low-latency, high-reliability, and energy-efficient communications, crucial for the development of 6G and intelligent Internet of Things (IoT) networks. He has been actively involved in projects and collaborations aimed at addressing computational challenges in edge networks by leveraging learning-based strategies for dynamic resource management and environment-aware communication optimization. His studies on intelligent reflection surfaces advance the understanding of how reconfigurable wireless environments can improve communication reliability and spectral efficiency. Dr. Peng Yingsheng ’s interdisciplinary expertise bridges theory and application, fostering innovations that enhance the intelligence, flexibility, and sustainability of wireless systems. His research outcomes are relevant to both academic and industrial domains, contributing to the evolution of intelligent communication infrastructures that underpin future smart cities, autonomous systems, and pervasive computing environments.

Profiles: Google Scholar

Featured Publication

Peng, Y., Liu, Y., & Zhang, H. (2021). Deep reinforcement learning based path planning for UAV-assisted edge computing networks. IEEE Wireless Communications and Networking Conference (WCNC), 1–6.

Peng, Y., Liu, Y., Li, D., & Zhang, H. (2022). Deep reinforcement learning based freshness-aware path planning for UAV-assisted edge computing networks with device mobility.Remote Sensing, 14(16), 4016.

He, T., Peng, Y., Liu, Y., & Song, H. (2024). AoI-oriented resource allocation for NOMA-based wireless powered cognitive radio networks based on multi-agent deep reinforcement learning. IEEE Access, 12, 69738–69752.

Peng, Y., Duan, J., Zhang, J., Li, W., Liu, Y., & Jiang, F. (2024). Stochastic long-term energy optimization in digital twin-assisted heterogeneous edge networks. IEEE Journal on Selected Areas in Communications.

Qi, H., Peng, Y., & Zhang, H. (2022). Performance analysis for wireless-powered IoT networks with hybrid non-orthogonal multiple access. Journal of Smart Environments and Green Computing, 2(3), 105–125.

Ms. Sahar Salaheldeen abdelgader abbas | Wireless Sensor Networks | Best Researcher Award

Ms. Sahar Salaheldeen abdelgader abbas | Southeast University | China

🌟 Sahar Salaheldeen Abdelgader Abbas holds an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, Istanbul, Turkey 🎓. Her research focuses on wireless networks 📡, IoT 🌐, machine learning 🤖, and wireless communications 📶. Passionate about continuous learning 📚, she thrives on challenges and embraces new skills with enthusiasm. 🚀 Sahar’s academic journey includes impactful research on energy efficiency in wireless sensor networks and LTE-A technologies, contributing to esteemed publications. ✍️ Self-motivated, communicative, and driven, she aims to expand her expertise while pursuing innovative solutions in modern communication systems. 💡

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Sahar Salaheldeen Abdelgader Abbas is highly suitable for the Best Researcher Award due to her impactful contributions in the fields of wireless networks, IoT, machine learning, and wireless communications. With an MSc (Honours) in Electronics and Communications Engineering from Yildiz Technical University, her academic foundation is solid, and her research work focuses on energy efficiency in wireless sensor networks and LTE-A technologies. These areas are crucial for advancing the capabilities and sustainability of modern communication systems.

Education 📖 & Experience 👩‍💼

📜 MSc (Honours) in Electronics & Communications Engineering, Yildiz Technical University, Turkey (2018–2021) – CGPA: 3.57/4.00
- Thesis: “Increasing Energy Efficiency of WSNs Through Optimization of Mobile Base Station Locations”
- Supervisor: Assoc. Prof. Tansal GUCLUOGLU
🎯 BSc (Honours) in Electronics Engineering Technology, University of Gezira, Sudan (2013–2018) – CGPA: 3.85/4.00
- Thesis: “Analysis of Cell Downlink Throughput for Intra-Band Contiguous Deployment in LTE-A Release 10”
- Supervisor: Assoc. Prof. Abdallah A. Osman
🏫 Secondary School, Alandalus Private School, Sudan (2011–2013) – Grade: 85.3%
📝 Published research articles in applied sciences and international conferences
🔍 Conducted advanced research on wireless sensor networks and LTE-A technologies

Professional Development

🚀 Sahar is committed to continuous professional growth through academic research and active participation in scientific conferences 🌍. She has co-authored papers on wireless sensor networks and LTE-A technologies, contributing to global discussions on energy efficiency 📡 and optimization techniques. Her dedication to lifelong learning 📚 drives her to explore emerging trends in IoT 🌐, machine learning 🤖, and wireless communications 📶. With strong analytical skills and a passion for innovation 💡, Sahar embraces every challenge as an opportunity to enhance her knowledge and make a meaningful impact in the tech industry. ✨

Research Focus

🔬 Sahar’s research focuses on wireless networks 📡, IoT 🌐, and machine learning 🤖, with a special interest in optimizing energy efficiency for wireless sensor networks (WSNs) ⚡. Her work explores advanced techniques to enhance network performance through mobile base station placement optimization 🚀. Additionally, she investigates LTE-A technologies 📶, focusing on downlink throughput analysis for next-generation networks. Sahar’s research contributes to the development of sustainable communication systems 🌱, bridging theoretical models with real-world applications. Her innovative mindset fosters continuous exploration of emerging technologies and their impact on future wireless communication infrastructures. 🌍

Awards & Honors 🏆

🏅 Honours Degree in MSc & BSc with outstanding CGPA
📜 Published in peer-reviewed journals and international conferences
🌟 Recognized for contributions to energy-efficient wireless communication research