Zhe PENG | Data Analytics | Best Researcher Award

Prof. Zhe PENG | Analytics | Best Researcher Award

Assistant Professor, The Hong Kong Polytechnic University, Hong Kong

Dr. Zhe Peng  is a dedicated Research Assistant Professor at the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. With a strong background in computer science and engineering, he specializes in intelligent supply chains, AI for manufacturing, and blockchain technologies. His contributions to blockchain, federated learning, and decentralized identity systems have earned him global recognition. With extensive academic and industry experience, Dr. Peng has made a significant impact on cutting-edge technological advancements.

Publication Profile

🎓 Education

Dr. Peng holds a Ph.D. in Computer Science from The Hong Kong Polytechnic University (2018), under the supervision of Prof. Bin Xiao (IEEE Fellow). He earned his M.E. in Information and Communication Engineering from the University of Science and Technology of China (2013) and a B.E. in Communication Engineering from Northwestern Polytechnical University (2010). His academic journey reflects his deep expertise in computing, communication, and AI-driven systems.

💼 Experience

Dr. Peng has held multiple research and industry positions. He is currently a Research Assistant Professor at The Hong Kong Polytechnic University. Previously, he served as a Research Assistant Professor at Hong Kong Baptist University (2020-2023) and as an R&D Manager at the Blockchain and FinTech Lab. In the industry, he worked as the Blockchain Technical Director at SF Technology in Shenzhen (2018-2019). Additionally, he was a Visiting Scholar at Stony Brook University, USA, working under Distinguished Prof. Yuanyuan Yang (IEEE Fellow).

🏆 Awards and Honors

Dr. Peng has received several prestigious awards, including the World’s Top 2% Scientists by Stanford University (2024) and the Award for High SFQ Score at PolyU ISE (2024). He was recognized with an ESI Highly Cited Paper (2023) and received the DASFAA-MUST Best Paper Award (2021). His work was also nominated for THE Awards Asia – Technological or Digital Innovation of the Year (2021). His numerous accolades highlight his contributions to academia, research, and technological innovation.

🔬 Research Focus

Dr. Peng’s research revolves around intelligent supply chains, AI-driven manufacturing, blockchain applications, and autonomous systems. His work on verifiable decentralized identity management, privacy-aware federated learning, and blockchain security has set new benchmarks in these fields. He continues to explore innovative solutions to improve efficiency, transparency, and security in digital ecosystems.

🔚 Conclusion

Dr. Zhe Peng is a visionary researcher at the intersection of AI, blockchain, and smart logistics. His groundbreaking research, academic excellence, and industry experience make him a leading expert in his field. Through his contributions to intelligent systems, federated learning, and blockchain security, he continues to shape the future of technological innovation. 🚀

🔗 Publications 

Lightweight Multimodal Defect Detection at the Edge via Cross-Modal Distillation

VDID: Blockchain-Enabled Verifiable Decentralized Identity Management for Web 3.0 

SymmeProof: Compact Zero-Knowledge Argument for Blockchain Confidential Transactions 

The Impact of Life Cycle Assessment Database Selection on Embodied Carbon Estimation of Buildings 

EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services

VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems 

VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems 

Mr. Ahmad Faraz Hussain | Machine learning | Best Scholar Award

Mr. Ahmad Faraz Hussain | Machine learning | Best Scholar Award

PhD student, Zhejiang university, China

Ahmad Faraz Hussain is an accomplished researcher and engineer specializing in audio signal processing, speaker recognition, and wireless sensor networks. With a strong academic background and extensive technical experience, he has contributed significantly to the field of electronics and information engineering. His work spans research, teaching, and industry, reflecting his passion for innovation and education.

Publication Profile

Scopus

🎓 Education:

Ahmad Faraz Hussain earned his Master of Science in Electronics & Information Engineering from the South China University of Technology, China (2017–2019), achieving an impressive 90%. His thesis focused on “Speaker Recognition with Emotional Speech,” showcasing his expertise in audio processing. He completed his Bachelor of Science in Electrical Engineering from the University of Engineering and Technology, Peshawar, Pakistan (2009–2014), with a thesis on “ZigBee-Based Wireless Sensor Network for Building Safety Monitoring.”

💼 Professional Experience:

Ahmad has a diverse professional journey, beginning as a Research Assistant at the South China University of Technology (2017–2019), where he worked on cutting-edge projects in speech recognition. Before that, he served as a Lecturer at Polytechnical College Kohat (2016–2017), imparting knowledge to aspiring engineers. His technical expertise was further honed during his two-year tenure as a Technical Engineer at PTCL, Pakistan, where he worked on telecommunications and networking solutions.

🏆 Awards and Honors:

Ahmad was a recipient of the prestigious CSC Scholarship, which enabled him to pursue his master’s degree in China. His academic excellence and dedication to research have earned him recognition in both academic and professional circles.

🔬 Research Focus:

Ahmad’s research interests lie in audio signal processing, speaker recognition, speech recognition, and wireless sensor networks. His work focuses on developing advanced methodologies for improving speech-based systems and enhancing security through smart sensor networks. His contributions to these fields are evident in his multiple publications and research projects.

🔚 Conclusion:

Ahmad Faraz Hussain is a dedicated researcher and engineer with a strong foundation in speech and wireless sensor technologies. His academic achievements, professional experience, and research contributions highlight his commitment to innovation and education. With a passion for higher learning and community service, he continues to make impactful contributions to the field of electronics and information engineering. 🚀

📚 Publications:

Three-Dimensional Dynamic Positioning Using a Novel Lyapunov-Based Model Predictive Control for Small Autonomous Surface/Underwater Vehicles

Fish Detection and Classification Based on Improved ViT

ZigBee-Based Wireless Sensor Network for Building Safety Monitoring – Published in the Journal of TWASP. Read here.

Speaker Recognition with Emotional Speech – Published in GSJ. Read here.

Speech Emotion Recognition – Under review.

ZigBee and GSM-Based Security System for Business Places– Accepted for publication.

Internet of Things-Based Information System for Smart Wireless Sensor Healthcare Applications – Submitted for review.