• Source: Scopus
20122021

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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 SDGs

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

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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.
  • 5 Similar Profiles
  • An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting

    Saadallah, A., Tavakol, M. & Morik, K., 2021, (Accepted/In press) IEEE International Conference on Data Engineering (ICDE).

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

  • 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

  • HyperUCB - Hyperparameter Optimization Using Contextual Bandits

    Tavakol, M., Mair, S. & Morik, K., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (eds.). Springer, p. 44-50 7 p. (Communications in Computer and Information Science; vol. 1167 CCIS).

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

  • Personalized Transaction Kernels for Recommendation Using MCTS.

    Tavakol, M., Joppen, T., Brefeld, U. & Fürnkranz, J., 2019, p. 338-352. 15 p.

    Research output: Contribution to conferencePaperAcademic

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