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  • 119
    Citations - based on content available in repository [source: Scopus]
20122024

Content available in repository

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.

Education/Academic qualification

Artificial intelligence, expert systems, Doctor, Contextual Models for Sequential Recommendation, Technische Universität Darmstadt

Award Date: 25 Apr 2019

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):

  1. SDG 5 - Gender Equality
    SDG 5 Gender Equality

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Collaborations and top research areas from the last five years

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  • Model-Based Meta-reinforcement Learning for Hyperparameter Optimization

    Albrechts, J., Martin, H. & Tavakol, M. (Corresponding author), 14 Nov 2024, Intelligent Data Engineering and Automated Learning – IDEAL 2024: 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part I. Julian, V., Camacho, D., Yin, H., Alberola, J. M., Nogueira, V. B., Novais, P. & Tallón-Ballesteros, A. (eds.). Springer, p. 27-39 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15346 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    83 Downloads (Pure)
  • FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers

    Boezer, M., Tavakol, M. (Corresponding author) & Sajadi, Z., 23 Jan 2023, Proceedings of the Northern Lights Deep Learning Workshop 2023. 8 p. (Proceedings of the Northern Lights Deep Learning Workshop series.; vol. 4).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Professional

    Open Access
    File
    87 Downloads (Pure)
  • Matrix factorization with denoising autoencoders for prediction of drug–target interactions

    Sajadi, Z., Zare Chahooki, M. A. (Corresponding author), Tavakol, M. & Gharaghani, S., Jun 2023, In: Molecular Diversity. 27, 3, p. 1333-1343 11 p.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    File
    190 Downloads (Pure)
  • Toward Robust Uncertainty Estimation with Random Activation Functions

    Stoyanova, Y., Ghandi, S. & Tavakol, M., 26 Jun 2023, Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023: AAAI-23 Special Tracks. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 15152-15160 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 37, no. 12).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    File
    49 Downloads (Pure)
  • MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation

    Wu, H. & Tavakol, M., 7 Apr 2022, Advances in Intelligent Data Analysis XX: 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20–22, 2022, Proceedings. Bouadi, T., Fromont, E. & Hüllermeier, E. (eds.). Springer, p. 365-377 13 p. (Lecture Notes in Computer Science (LNCS); vol. 13205).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review