I am a member of Machine Learning group at the Institute of Information Systems at Leuphana University of Lüneburg as Research Assistant, and at the same time, doing my PhD in the Computer Science department of TU Darmstadt. My major area of research is using Machine Learning techniques in Recommender Systems and Personalization.
I received both of my B.Sc. and M.Sc degrees in Computer Science from the University of Tehran, Iran. Here is my CV.
Data Mining and Machine Learning Seminar (S17/S18)
Introduction to Python Programming (W16/17, S18)
Recommender System Seminar (W16/17, W17/18)
Intelligent Data Analysis (S16)
R. Gaonkar, M. Tavakol, and U. Brefeld, MDP-based Itinerary Recommendation using Geo-Tagged Social Media, Proceedings of the Seventeenth International Symposium on Intelligent Data Analysis, 2018
M. Tavakol and U. Brefeld, A Unified Contextual Bandit Framework for Long- and Short-Term Recommendations, Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML 2017, [code]
M. Tavakol and U. Brefeld, A Preference-Based Bandit Framework for Personalized Recommendation, DA2PL Euro mini conference 2016
M. Tavakol, H. Zafartavanaelmi, U. Brefeld, Feature Extraction and Aggregation for Predicting the Euro 2016, Workshop of Sport Analysis, ECML 2016
M. Tavakol and U. Brefeld, Factored MDPs for Detecting the Topic of User Sessions, Proceedings of the ACM Conference on Recommender Systems, 2014, [code]
M. Tavakol, M. N. Ahmadabadi, M. Mirian, M. Asadpour, A Distributed Q-Learning Approach for Variable Attention to Multiple Critics, International Conference on Neural Information Processing, ICONIP 2012