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Josif Grabocka

Photo of Prof. Dr. Josif Grabocka.Assistant Professor

Postal address:        Institut für Informatik
                                   
Albert-Ludwigs-Universität Freiburg
                                  Sekretariat Hutter/Maschinelles Lernen
                                  Georges-Köhler-Allee 074
                                  79110 Freiburg, Germany
Room:                       
Building 074, Room 00-015

Email:                       grabocka@informatik.uni-freiburg.de

Phone:                      +49 761 203-67883

Fax:                           +49 761 203-74217

 

About Me

I graduated with my Ph.D. in 2016 from the University of Hildesheim by completing a dissertation titled „Invariant Features For Time-Series Classification“ which was evaluated with „Summa Cum Laude“ and subsequently awarded the Best Dissertation Award of the Faculty of Natural Sciences at the University of Hildesheim. Since January 2020, I was appointed as an Assistant Professor of Representation Learning by the University of Freiburg, where I lead the RELEA research lab. Throughout my research career, I have published in Data Science conferences such as ACM SIGKDD, AAAI, as well as journals such as Data Mining and Knowledge Discovery, or IEEE TKDE.

Research Interests

In general, I am interested in learning end-to-end deep representation models for solving complex data-driven tasks arising from diverse-real world scenarios. I have been working on diverse Machine Learning challenges, such as time-series classification/forecasting and multi-relational learning for Recommender Systems. Recently, my research interests have shifted towards modern elements of Machine Learning, namely AutoML, Neural Architecture Search, Fairness, as well as Robustness.

Reviewing and Program Committee Memberships

Furthermore, I have been a regular reviewer for the following journals:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI): 2020

  • Machine Learning (MACH): 2020

  • Data Mining and Knowledge Discovery (DAMI): 2014-2020

  • IEEE Transactions on Knowledge and Data Engineering (TKDE): 2018-2020

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS): 2019

  • IEEE Access: 2018-2019

  • Knowledge-Based Systems: 2017

In addition, I was a program committee member of the following peer-reviewed conferences: 

  • ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD): 2020

  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD): 2019-2020

  • International Joint Conferences on Artificial Intelligence (IJCAI): 2019-2020

  • Association for the Advancement of Artificial Intelligence (AAAI): 2019

  • IEEE ITSC: 2015-2018

Teaching

I co-teach the course Machine Learning (Summer Semester 2020 and Winter Semester 2020-2021) at the University of Freiburg.

 Publications