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Didem Gündoğdu is a PhD student at the University of Trento, Italy, in the mobile and social computing group. She completed her MSc in computer science at Bogazici University, Turkey, after 15 years in the information technologies industry. Her main research is event detection in telecommunication data using stochastic methods.
Countrywide arrhythmia: emergency event detection using mobile phone data, D Gundogdu, OD Incel, AA Salah, B Lepri - EPJ Data Science, 2016
Social Event Detection In Aggregated Mobile Phone Data Using Markov Modulated Poisson Process, D. Gundogdu, O. Incel, A. Salah, B. Lepri, in International Conference on Computational Social Science, Helsinki Finland
Countrywide Anomalous Incident Detection From Aggregated Mobile Phone Data, Master of Science Thesis, Bogazici University, Turkey, September 2014
Mobile Phone Data Analysis of Cote d'Ivorie, Proceedings in D4D Challenge, NETMOB 2013, MIT, Boston USA
i-Budi, Mobile Companion, April 2012
Lepra Disease Recognition Program by Digital Image Processing, July 1997