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Ardeshir Mahdavi, Ph.D.

Dr. Mahdavi is the Director of the Department of Building Physics and Building Ecology as well as the Head of the Institute of Architectural Sciences at TU Wien. He is also the Director of the Graduate Studies Program "Building Science and Technology" at TU Wien. Prior to his TU appointment, professor Mahdavi acted Full Tenured Professor of Building Physics at Carnegie Mellon University (CMU), Pittsburgh, PA, USA. Professor Mahdavi has also acted on multiple occasions as the Visiting Professor and Invited Lecturer in different academic institutes around the world. Professor Mahdavi has supervised 70 doctoral students and 130 Master of Science students. 

Research

Professor Mahdavi has conducted internationally acclaimed research in the fields of Building Physics (energy and heat transfer, hygro-thermal analysis, lighting, acoustics), Building Performance Simulation, Building Controls and Diagnostics, Building Ecology, and Human Ecology. Professor Mahdavi has authored and co-authored over 140 journal papers, 550 conference papers, and 70 scientific writings in book chapters and research documentations. He is a frequent Keynote speaker at international conferences (e.g., IBPSA, CLIMA, PLEA, CIB, BAUSIM, BSA, CAAD Futures, eCAADe, ECPPM).

Selected Publications
  1. Mahdavi, A., Taheri, M. (2017): An ontology for building monitoring. Journal of Building Performance Simulation, Special Issue: The fundamentals of occupant behaviour research (2017), 10; S. 499 - 508.

  2. Mahdavi, A., Tahmasebi, F. (2017): On the quality evaluation of behavioural models for building performance applications. Journal of Building Performance Simulation, 10 (2017), 5-6; S. 554 - 564.

  3. A. Mahdavi, F. Tahmasebi (2016): The deployment-dependence of occupancy-related models in building performance simulation. Energy and Buildings, 117 (2016), S. 313 - 320.

  4. Mahdavi, A. (2016): The human factor in sustainable architecture. Low Energy Low Carbon Architecture: Recent Advances & Future Directions (Sustainable Energy Developments). Khaled A. Al-Sallal (Ed.); Taylor & Francis, London, UK. ISBN: 978-1-138-02748-0; pp. 137-158.

  5. Mahdavi, A., Tahmasebi, F., Kayalar, M. (2016): Prediction of plug loads in office buildings: Simplified and probabilistic methods. Energy and Buildings, Vol. 129; pp. 322-329.

Interesting Facts

Traveling, classical music, hiking, philosophy, quantum physics and cosmology, evolutionary biology, humor, Zen-Buddhism

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