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

Published on by Computer Scientists Awards

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.

Md. Emran Biswas | Data science | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Md. Emran Biswas | Data science | Best Researcher Award

Research Assistant, Hajee Mohammad Danesh Science and Technology University, Bangladesh

🌟 Md. Emran Biswas, hailing from Dinajpur, Bangladesh, is a passionate researcher and technologist specializing in machine learning, optimization algorithms, and their societal applications. He has actively contributed to predictive analysis, bioinformatics-based drug discovery, and developing AI solutions for global good. As a skilled programmer and researcher, Emran’s work has earned recognition through multiple publications, accolades, and groundbreaking projects in his field.

Publication Profile

Scopus

Education

🎓 Md. Emran Biswas completed his B.Sc. in Electronics and Communication Engineering at Hajee Mohammad Danesh Science and Technology University (HSTU), Dinajpur, Bangladesh, from March 2019 to November 2024, with an impressive CGPA of 3.412/4.00. His academic journey is marked by a focus on deep learning, predictive modeling, and optimization algorithms.

Experience

💼 Emran served as a Research Assistant at Petarhub and DIOT Lab, HSTU, contributing to machine learning, predictive modeling, and optimization projects. His notable achievements include developing the ApexBoost Regression model, managing large datasets, and publishing impactful research in reputed journals like IEEE and Electronics.

Research Interests

🔍 Emran’s research focuses on machine learning, optimization algorithms, and their transformative applications in areas like bioinformatics-based drug discovery, predictive analysis, and societal challenges. His work aligns with the vision of ‘AI for Good,’ driving impactful innovation.

Awards

🏆 Emran has earned recognition for his innovative projects, including First Runner-Up at the Project Exhibition 2022 for his “Face Detection-Based Attendance System” and Second Runner-Up in 2023 for his “AI-Based Health Checking System.” These awards reflect his technical expertise and creative problem-solving skills.

Publications

Machine Learning Approach to Estimate Requirements for Target Productivity of Garments Employees. IEEE ICEEICT 2024 (Cited by: 5)

An Effective Data-Driven Approach to Predict Bike Rental Demand. Google Scholar (Cited by: 12)

Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network. Electronics, 13(24), p.4910 (Cited by: 9)