Personlig presentation av Juveria Shah

Doctoral Student Computing

Computing School of Information and Engineering

Contact

023-77 83 01

Researchgate

Orcid

Shah, Juveria, Han, Mengjie, Zhang, Xingxing. Data-driven visualization and comparative analysis of positive energy districts (PEDs) for inclusive urban energy transitions, Discover Sustainability, 2026, Vol. 7, No. 1. Article : refereed.
Nasya, Bahanur, Vurucu, Yilmaz, Akkaya, Batuhan, Nedkova, Danny, Nair, Gireesh, Shah, Juveria, Han, Mengjie, Zhang, Xingxing. Multi-dimensional self-assessment matrix and scoring system for Positive Energy Districts, Frontiers in Sustainable Cities, 2025, Vol. 7. Article : refereed.
Han, Mengjie, Canli, Ilkim, Shah, Juveria, Zhang, Xingxing, Dino, Ipek Gursel, Kalkan, Sinan. Perspectives of Machine Learning and Natural Language Processing on Characterizing Positive Energy Districts, Buildings, 2024, Vol. 14, No. 2. Article : refereed.
Han, Mengjie, Shah, Juveria, Zhang, Xingxing. Review of natural language processing techniques for characterizing positive energy districts, journal of Physics; Conference series : 2023. Conference paper : refereed.
Zhang, Xingxing, Shah, Juveria, Han, Mengjie. ChatGPT for Fast Learning of Positive Energy District (PED) : A Trial Testing and Comparison with Expert Discussion Results, Buildings, 2023, Vol. 13, No. 6. Article : refereed.