Ms. Ivett-Greta Zsak | Data-Driven | Best Researcher Award

Ivett-Greta Zsak | Data-Driven | Best Researcher Award

PhD Candidate, Technical University of Cluj-Napoca, Romania

Ms. Ivett-Greta Zsak, a Romanian architect, lecturer, and PhD candidate at the Technical University of Cluj-Napoca, is an influential figure in sustainable architecture and heritage preservation. She earned her Diploma in Architecture from the University of Oradea under the board of UAUIM Bucharest and has since established herself as a practicing architect and administrator of Zero Positive Architecture SRL. Currently serving as an expert at Living Lab 10 within the EU GREEN European University Alliance for Sustainability and as an associate lecturer at the University of Oradea, she combines academic engagement with professional innovation. Her doctoral research focuses on civil engineering and installation, contributing to frameworks such as the Building Identity Passport (BIP) for prefabricated housing rehabilitation, published in Sustainability in 2025. She is actively engaged in heritage protection as the coordinator of the Ambulance for Monuments – Bihor branch and has co-authored the national Architecture Guidelines for Rural Areas. Recognized with multiple awards, including two first prizes at the 2023 Transylvania Architecture Biennale, she continues to impact both theory and practice in architecture. With 11 citations across 2 documents and an h-index of 2, her scholarly work, though emerging, reflects her growing influence at the intersection of sustainable design, cultural heritage, and participatory architecture.

Profile: Scopus | ORCID

Featured Publications

Zsak, I.-G., Pescaru, A. H., & Manea, L.-D. (2025). Beyond energy efficiency: Integrating health, building pathology, and community through the building identity passport for prefabricated housing. Sustainability, 17(17), 8176.

Zsak, G. I., Pescaru, A. H., & Manea, L.-D. (2024). Analysis on using 3D scanning and BIM to reduce the physical and non-physical construction waste for sustainable fireproofing of steel trusses. Sustainability, 16(5), 1832.

Zsak, G. I. (2020). Ghiduri de arhitectură pentru încadrarea în specificul local din mediul rural. The Order of Architects of Romania.

Zsak, G. I. (2019, September 18). Regeneration of the industrial heritage in the central area of Oradea. In Materials Science and Engineering Conference Series (Vol. 603). IOP Publishing.

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