english | deutsch

Zardosht Hodaie, M.Sc.


Room: C 215

Phone: (+49) 040 428 83-2105

E-Mail: hodaie(at)informatik.uni-hamburg.de

Web: www.hodaie.com






 I studied computer science (B.Sc, M.Sc.) in Technical University of Munich with minors in mechanical engineering and bio-medical computing. During my course of studies, I gathered more than 5 years of experience in both industrial and research area, including Microsoft .Net, Java Enterprise technologies, Eclipse and OSGi technologies, mobile development and agile methodologies in software engineering.

During my activities as a student research assistant in TUM (Chair for Applied Software Engineering), I had the opportunity to work in interesting applied research projects including Unicase and the EU-funded project FastFix

I also hold a bachelor’s degree (B.Sc.) in Agricultural Mechanics Engineering from University of Tehran. 


Research Interests

  • mobile context-awareness
  • mobile software engineering


  • TUM – Summer term 2011 – Tutor for lecture “Introduction to software engineering”
  • TUM – Summer term 2009 – Tutor for lecture “Introduction to software engineering”


  • Jonas Helming, Holger Arndt, Zardosht Hodaie, Maximilian Koegel, Nitesh Narayan; “Semi-Automatic Assignment of Work Items”; 5th International Conference on Evaluation of Novel Approaches to Software Engineering
  • Jonas Helming, Maximilian Koegel, Zardosht Hodaie; “Towards automation of iteration planning”; Proceeding of the 24th ACM SIGPLAN conference companion on Object oriented programming systems languages and applications, 2009, S. 965–972.
  • Helming, Jonas, Holger Arndt, Zardosht Hodaie, Maximilian Koegel, and Nitesh Narayan. “Automatic Assignment of Work Items.” Evaluation of Novel Approaches to Software Engineering: 5th International Conference, ENASE 2010, Athens, Greece, July 22-24, 2010, Revised Selected Papers. Vol. 230. Springer, 2012:  p. 236-250.
  • Abouzar Eslami, Amin Aboee, Zardosht Hodaei, Mandana J. Moghadam, Stephane G. Carlier, Amin Katouzian, Nassir Navab; “Quantification of Coronary Arterial Stenosis by Inflating Tubes in CT Angiographic images”; Accepted in 3D Cardiovascular Imaging: a MICCAI segmentation challenge, 2012.