This image shows Diellza Elshani

Diellza Elshani

M. Sc., B. Arch.

Research Associate
2021 - Current

Contact

+49 711 685 81935

Business card (VCF)

Keplerstraße 11
70174 Stuttgart
Deutschland
Room: 10.32

Subject

Diellza Elshani is a research associate and doctoral candidate at the Institute for Computational Design and Construction at the University of Stuttgart. She holds a Master of Science in Integrated Urban Development & Design from the Bauhaus University of Weimar and a Bachelor of Architecture from Mimar Sinan Fine Arts University in Istanbul.

Before coming to ICD, Diellza was a researcher at the City Intelligence Lab (CIL) of the Austrian Institute of Technology (AIT), focusing on cognitive urban design computing. Her Master Thesis is written at the Chair of Computational Architecture at the Bauhaus University Weimar, collaborating with the AIT. It presents a computational framework to measure, operationalize and interpret the performance of the urban form using generative design methods.

She has garnered architectural experience in Germany, Austria, Turkey, and Kosovo. Additionally, she delivered lectures, mentored workshops and hackathons, participated in summer schools, conferences, film festivals, and engaged in various extracurricular activities that have shaped her as a person, designer, and scientist.

Diellza's primary research interest lies at the intersection of Symbolic Artificial Intelligence and Building Information Modeling, with a specific focus on knowledge graphs and Semantic Web Technologies.

 

Key words: Symbolic AI, Semantic Web Technologies, and Knowledge Graphs for Multi-disciplinary Building Co-design and Building Information Modeling.

Elshani, D., Hernandez, D., Lombardi, A., Siriwardena, L., Schwinn, T., Fisher, A., Staab, S., Menges, A., & Wortmann, T. (2023). Building Information Validation and Reasoning Using Semantic Web Technologies. In M. Turrin, C. Andriotis, & A. Rafiee (Eds.), Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries (pp. 470--484). Springer Nature Switzerland.

Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022, May). Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.

Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022, September). Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. Proceedings of 33. Forum Bauinformatik.

Elshani, D., Wortmann, T., & Staab, S. (2022, May). Towards Better Co-Design with Disciplinary Ontologies: Review and Evaluation of Data Interoperability in the AEC Industry. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.

Elshani, Diellza; Reinhard Koenig; Duering, Serjoscha; Schneider, Sven; Chronis, Angelos (2021): Measuring Sustainability and Urban Data Operationalization. An integrated computational framework to evaluate and interpret the performance of the urban form. In Caadria. Hong Kong.

Elshani, D., Vititneva, E., Gilmanov, A., Koenig, R., Schneider, S., et al. 2019. Rural Urban Transformation: Parametric Approach on Metabolims-Based Planning Strategies in Ethiopia. SimAUD: Symposium on Simulation for Architecture & Urban Design.Vienna. | http://simaud.org/2020/proceedings/79.pdf

Blasius,B., Beenen, P., Brandt, M., Elshani, D., et al. 2019. Tirana. Architecture as a political actor. Bauhaus University Weimar. | https://e-pub.uni-weimar.de/opus4/frontdoor/deliver/index/docId/3995/file/Kuch_Ulrike_Tirana.pdf

Courses:

Thesis:

  • ITECH Master's Thesis Topic – Linked Urban Data,  2022/23, Student: Xi Peng
  • Architecture Master's Thesis Topic – Learning and Generating Spatial Concepts of Modernist Architecture via Graph Machine Learning 2022/23, Student: Erik Bauscher

Workshops:

Research & Projects:

  • IntCDC's Large-Scale Construction Robotics Laboratory (LCRL)
  • RP20: Knowledge Represantaion for Multi-dscisplinar co-design of buildings

Conference Presentations:

Invited Lectures:

Scientific Peer-Review:

  • 2023-current: Resources, Conservation and Recycling Journal, ScienceDirect.
  • 2023-current: Linked Data in Architecture and Construction (LDAC), CEUR Workshop Proceedings.
  • 2023-current: NLP4KGC Workshop of SEMANTiCS 2024 Conference.

Awards

  1. First place in Linked Building Data Hackathon 2022.
  2. Best Graduate Award 2020/2021 - IUDD Bauhaus University Weimar.
  3. Second place in Bratislava Climate Hackathon Vienna Online 2020.
  4. DAAD scholarship recipient for architecture study.
  5. Erasmus+ scholarship recipient.
  6. Turkiye Burslari Scholarship recipient.
  7. Best Thesis Projects - Psychiatric Hospital 2017.
  8. 4th Place Mathematics Olympiads in Kosovo 2011.
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