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.

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.

Mr. Chen Du | Information Extraction | Best Innovator Award

Mr. Chen Du | China Agricultural University | China

Chen Du is an emerging computer science enthusiast and undergraduate student at Yantai Institute, China Agricultural University. With strong academic performance, Chen has demonstrated excellent English proficiency and a multidisciplinary understanding that supports his research capabilities. He has been recognized through prestigious honors, including the Academic First-Class Scholarship and the National Scholarship. Chen actively participated in projects focusing on artificial intelligence applications in smart city development, specifically within Yantai City. His involvement in knowledge graph construction and programming showcases a deep interest in computational innovations. Chen Du’s dedication and early contributions make him a promising figure in the realm of computer science and AI research.

Publication Profile

ORCID

Education Background

Chen Du is currently pursuing a Bachelor’s degree at the Yantai Institute, China Agricultural University. His academic record is marked by outstanding achievements, earning him the Academic First-Class Scholarship and the highly competitive National Scholarship. During his undergraduate studies, he has focused on strengthening his foundation in computer science and artificial intelligence, while also excelling in language and interdisciplinary skills. His education has involved a hands-on approach to real-world research problems, helping him gain valuable experience in algorithm design, data modeling, and experimental paper authorship. His academic path reflects a balanced combination of theoretical knowledge and applied research.

Professional Experience

As an undergraduate, Chen Du has contributed significantly to academic research and project development. He participated in two research projects, including one focused on applying AI in smart city initiatives in Yantai City. These projects allowed him to explore advanced topics such as joint entity-relation extraction, knowledge graph construction, and hybrid ontology design. He also took part in two consultancy or industry-oriented projects, enhancing his experience in practical applications of computer science concepts. Despite his early career stage, Chen has authored a journal paper as the first author and collaborated on two research initiatives, showcasing a proactive and research-driven approach to his professional growth.

Awards and Honors

Chen Du has received notable recognition during his academic journey, including the prestigious National Scholarship and the Academic First-Class Scholarship. These honors reflect his high academic standards, leadership potential, and dedication to innovation. His achievements highlight not only his excellent grades and technical proficiency but also his ability to engage deeply in research at an undergraduate level. His involvement in university-endorsed projects and scholarly writing further supports his status as a high-achieving student with a commitment to scholarly excellence in the evolving fields of computer science and artificial intelligence.

Research Focus

Chen Du’s research interests center around computer science, artificial intelligence, and environmental pollution control. His recent contributions include the development of a domain-specific knowledge graph framework for marine ranching equipment, which plays a vital role in advancing China’s Blue Granary strategy. His work integrates hybrid ontology design and joint entity–relation extraction methods, providing a structured approach to domain knowledge management. By applying graph-based knowledge storage techniques, Chen’s work offers a transferable methodology for future knowledge extraction tasks in vertical domains. His broader interests extend to the role of intelligent systems in improving ecological management and smart urban development.

Publication

Joint Entity–Relation Extraction for Knowledge Graph Construction in Marine Ranching Equipment

Published Year: 2025

Conclusion

Chen Du, though early in his academic career, has already made impactful contributions to research in computer science and artificial intelligence. His dedication to academic excellence, combined with his practical experience in developing intelligent systems and constructing knowledge graphs, highlights his potential as a future innovator in the field. With significant honors and hands-on research experience, he stands out as a motivated scholar ready to tackle complex challenges. His commitment to interdisciplinary integration and real-world application marks him as a valuable asset to future research initiatives and a suitable candidate for the Best Innovation Award.

Chen Du | Information Extraction | Best Innovator Award