Zahra Ahmadi, M.Sc.

Room: 03-623

Johannes Gutenberg - Universität Mainz
Institut für Informatik
Staudingerweg 9
55128 Mainz, Germany

E-Mail: zaahmadi{at}uni{dash}mainz{dot}de
Office Phone: +49-6131-39-21060
Fax number: +49-6131-39-23534

Research Interests

Data stream classification, Non-stationary data, Multi-label classification, Deep learning, Sentiment analysis, Semi-supervised learning, Cost-sensitive learning, Machine learning, Data mining

Google Scholar

Activities

    (Co-)Reviewer of

  • ACM Symposium on Applied Computing (SAC 2015)
  • IEEE International Conference on Data Mining (ICDM 2014 - 2017)
  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2014, 2016)
  • Computer Society of Iran Computer Conference (CSICC 2008 - 2011)

Short Scientific CV

05/2014 - now Ph.D. Johannes Gutenberg Universität, Mainz, Germany
03/2014 - 05/2014 Internship at PRIME research company, Mainz, Germany
05/2013 - 01/2014 Visiting researcher at Johannes Gutenberg Universität, Mainz, Germany
08/2012 - 05/2013 Project Manager at Zaeim electronic industries, Tehran, Iran
09/2009 - 10/2012 Researcher at Sharif University of Technology, Tehran, Iran
09/2007 - 09/2009 M.Sc. Sharif University of Technology, Tehran, Iran
09/2003 - 09/2007 B.Sc. Sharif University of Technology, Tehran, Iran

Awards

  • Awarded DAAD scholarship for doctoral candidates (May- October 2013)
  • Awarded financial support of Machine Learning Summer School (MLSS 2012)
  • Distinguished as a talented student and exempted from nation-wide graduate studies examination (Fall 2006)
  • Accepted and graduated from National Organization for Development of Exceptional Talents (NODET) schools, Farzanegan, Tehran, Iran

Teaching

  • Data Mining Seminar at Johannes Gutenberg Universität (JGU), Mainz, Germany
  • Machine Learning Seminar at Johannes Gutenberg Universität (JGU), Mainz, Germany
  • Lecturer at Khaje Nasir Toosi University (KNTU), Tehran, Iran
    courses: Data structure, Database laboratory, Operating system laboratory
  • Teaching Assistant at Sharif University of Technology (SUT), Tehran, Iran
    courses: Machine learning, Data structure, Compiler, Advanced programming (Java), Design algorithms

Book contributions:

  • Shao, Junming ; Ahmadi, Zahra ; Kramer, Stefan:
    Prototype-based learning on concept-drifting data streams
    Macskassy, Sofus (Hrsg.). Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 24 - 27, 2014, New York, NY, USA. New York, NY, : ACM, 2014. P. 412 - 421 (Conference Paper)

  • Li, Rui ; Ahmadi, Zahra ; Kramer, Stefan:
    Constrained latent dirichlet allocation for subgroup discovery with topic rules
    Schaub, Torsten (Hrsg.). ECAI 2014 : 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic ; including Prestigious applications of intelligent systems (PAIS 2014) ; proceedings. Amsterdam, : IOS Press, 2014. P. 519 - 524 (Conference Paper)