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Personal profile

Academic background

I am an Assistant Professor at the Uncertainty in AI group of Eindhoven University of Technology. Previously, I was a postdoctoral researcher in the AI group at TU Dortmund. Before that, I was a member of Machine Learning group at Leuphana University of Lüneburg as a Research Assistant, and pursuing my PhD in Machine Learning in the Computer Science department of TU Darmstadt. During my PhD, I spent a six-month internship at the Recommendation team of Criteo Company in France.

I received both of my B.Sc. and M.Sc degrees in Computer Science from the University of Tehran, Iran.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 5 - Gender Equality

Education/Academic qualification

Artificial intelligence, expert systems, Doctor, Technische Universität Darmstadt

Award Date: 25 Apr 2019


Dive into the research topics where Maryam Tavakol is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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  • MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation

    Wu, H. & Tavakol, M., 7 Apr 2022.

    Research output: Contribution to conferencePaperAcademic

  • An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting

    Saadallah, A., Tavakol, M. & Morik, K., 22 Jun 2021, Proceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021. p. 2255-2260 6 p. 9458798

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
  • Rating Player Actions in Soccer

    Dick, U., Tavakol, M. & Brefeld, U., 15 Jul 2021, In: Frontiers in Sports and Active Living. 3, 14 p., 682986.

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    4 Downloads (Pure)
  • Distantly Supervised Question Parsing

    Zafar, H., Tavakol, M. & Lehmann, J., 24 Aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (eds.). IOS Press, p. 2290-2297 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
  • Fair Classification with Counterfactual Learning

    Tavakol, M., 25 Jul 2020, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. p. 2073-2076 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review