Prof. Li Ping QIAN | Mobile edge computing | Best Researcher Award

Posted on by sciencefather

Prof. Li Ping QIAN | Mobile edge computing | Best Researcher Award

Professor, Zhejiang University of Technology, China

Dr. Li Ping Qian is a distinguished Professor at the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. As an IEEE Senior Member and IEEE VTS Distinguished Lecturer (2024-2026), he is a leading researcher in wireless networks, edge intelligence, and emerging multiple access techniques. With a Ph.D. from The Chinese University of Hong Kong, his contributions to deep learning-powered communication networks have been widely recognized. His expertise in mobile edge computing and resource management has established him as a thought leader in the field.

Publication Profile

🎓 Education

Dr. Li Ping Qian earned his Ph.D. in Information Engineering from The Chinese University of Hong Kong in 2010. Prior to that, he obtained his Master of Engineering in Electronic Science and Technology (2006) and Bachelor of Engineering in Information Engineering (2004) from Zhejiang University, Hangzhou, China. His strong academic foundation has propelled his research in advanced communication networks.

💼 Experience

Dr. Qian is currently a Jianxing Distinguished Professor at Zhejiang University of Technology, a role he has held since 2022. Previously, he served as a Full Professor (2018-2021) and Associate Professor (2012-2017) at the same institution. He also leads as the Director of the Information and Communication Discipline. His international experience includes being a Visiting Scholar at the University of Waterloo (2016-2017) and a Research Collaborator at Princeton University (2009). His academic journey began as a Postdoctoral Research Associate at The Chinese University of Hong Kong (2010-2011).

🏆 Awards and Honors

Dr. Qian has received multiple prestigious Best Paper Awards, including the Best Conference Paper Award at UCom 2024 and IEEE ICCT 2023 for his work on integrated sensing and communication in edge computing networks. He has also secured significant research grants, including funding from the Natural Science Foundation of Zhejiang Province for multi-user scheduling and relay selection in 5G networks.

🔬 Research Focus

Dr. Qian’s research interests span deep learning-driven communication networks, edge intelligence, and mobile edge computing for IoT. His work delves into optimizing resource management in wireless networks and developing novel multiple access techniques for efficient data transmission. His innovative contributions bridge artificial intelligence and wireless communications, making him a key figure in the evolution of next-generation networks.

🔍 Conclusion

Dr. Li Ping Qian is a highly accomplished researcher whose contributions to deep learning, mobile edge computing, and next-generation wireless networks have shaped the field of modern communication systems. His extensive experience, prestigious awards, and impactful publications solidify his position as a leader in information engineering. 🚀

📝 Publications

Diffusion-Based Radio Signal Augmentation for Automatic Modulation Classification, Electronics, 2024 (DOI)

A Survey on Integrated Sensing, Communication, and Computing Networks for Smart Oceans, Journal of Sensor and Actuator Networks, 2022 (DOI)

Adaptive Facial Imagery Clustering via Spectral Clustering and Reinforcement Learning, Applied Sciences, 2021 (DOI)

Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks, Sensors, 2019 (DOI)

Optimal Computational Power Allocation in Multi-Access Mobile Edge Computing for Blockchain, Sensors, 2018 (DOI)

Optimal Resource Allocation for Uplink Data Collection in Nonorthogonal Multiple Access Networks, Sensors, 2018 (DOI)

RFID Data-Driven Vehicle Speed Prediction via Adaptive Extended Kalman Filter, Sensors, 2018 (DOI)

Non-orthogonal multiple access assisted federated learning via wireless power transfer: A cost-efficient approach, IEEE Transactions on Communications, 2022 (Cited by 133)

Multi-server multi-user multi-task computation offloading for mobile edge computing networks, Sensors, 2019 (Cited by 130)

SWIPT cooperative spectrum sharing for 6G-enabled cognitive IoT network, IEEE Internet of Things Journal, 2022

 

Dr. Sotirios Brotsis | Internet of Things | Best Researcher Award

Posted on by sciencefather

Dr. Sotirios Brotsis | Internet of Things | Best Researcher Award

Department of Informatics and Telecommunications, University of the Peloponnese, Greece

Sotirios Brotsis is a dedicated researcher in the field of blockchain technology, cryptography, and IoT security 🔒. He holds a B.S. in Mathematics from the University of Patras and an M.S. in Informatics and Telecommunications from the University of Peloponnese 🎓. Currently, he is pursuing a Ph.D. at the University of Peloponnese, under the supervision of Associate Professor N. Kolokotronis. With a strong academic background and a passion for cybersecurity, he has made significant contributions to the field, publishing in top-tier venues and actively participating as a Technical Program Committee (TPC) member and reviewer for international conferences and journals 📚.

Publication Profile

📘 Education

Sotirios Brotsis began his academic journey with a B.S. in Mathematics (2009–2015) at the University of Patras, Greece 🏛️. His interest in computing and security led him to pursue an M.S. in Informatics and Telecommunications at the University of Peloponnese 🎓. Currently, he is a Ph.D. candidate at the University of Peloponnese, focusing on blockchain technology and IoT security 🔐.

💼 Experience

Since October 2018, Sotirios Brotsis has been actively engaged in research at the University of Peloponnese as a Ph.D. candidate 📊. His work revolves around blockchain-based security solutions for IoT ecosystems, cryptographic protocols, and digital forensics 🔍. His expertise is recognized globally, and he has contributed as a TPC member and reviewer for international journals and conferences 🏆.

🏅 Awards and Honors

Sotirios Brotsis has received recognition for his contributions to blockchain and IoT security research. His research has been featured in top international journals, conferences, and book chapters, establishing him as an emerging expert in cybersecurity and cryptographic systems 🥇.

🔬 Research Focus

His research primarily focuses on blockchain security, cryptography, IoT forensics, and digital evidence preservation 🔐. He is actively working on post-quantum blockchain platforms, secure IoT ecosystems, and privacy-enhancing cryptographic solutions. His work addresses real-world security challenges in IoT applications and distributed ledger technologies 📡.

✅ Conclusion

Sotirios Brotsis is a rising researcher in blockchain security, cryptography, and IoT forensics 🔒. His contributions in digital forensics, post-quantum cryptography, and blockchain-based security have positioned him as an influential scholar in cybersecurity 🔥. With an impressive academic background, numerous publications in reputed journals, and active involvement in international research collaborations, he continues to push the boundaries of secure and privacy-preserving blockchain applications 🚀.

📝 Publications

Blockchain meets Internet of Things (IoT) forensics: A unified framework for IoT ecosystems – Internet of Things, 2023 🔗 DOI: 10.1016/j.iot.2023.100968

Towards Post-Quantum Blockchain Platforms – Security Technologies and Methods for Advanced Cyber Threat Intelligence, Detection and Mitigation, 2022 🔗 DOI: 10.1561/9781680838350.ch7

Blockchain-Enabled Digital Forensics for the IoT: Challenges, Features, and Current Frameworks – IEEE International Conference on Cyber Security and Resilience, 2022 🔗 DOI: 10.1109/csr54599.2022.9850327

On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance – Computer Networks, 2021 🔗 DOI: 10.1016/j.comnet.2021.108005

On the Security and Privacy of Hyperledger Fabric: Challenges and Open Issues – IEEE World Congress on Services, 2020 🔗 DOI: 10.1109/services48979.2020.00049

On the Security of Permissioned Blockchain Solutions for IoT Applications – IEEE Conference on Network Softwarization (NetSoft), 2020 🔗 DOI: 10.1109/netsoft48620.2020.9165480

On Blockchain Architectures for Trust-Based Collaborative Intrusion Detection– IEEE World Congress on Services, 2019 🔗 DOI: 10.1109/services.2019.00019

Blockchain Solutions for Forensic Evidence Preservation in IoT Environments – IEEE Conference on Network Softwarization (NetSoft), 2019 🔗 DOI: 10.1109/netsoft.2019.8806675