Assistant Professor
Maryam Tavakol
Department / Institute
Mathematics and Computer Science
Group
EAISI Foundational
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.
Recent Publications
-
Zahra Sajadi,Mohammad Ali Zare Chahooki,Maryam Tavakol,Sajjad Gharaghani
Matrix factorization with denoising autoencoders for prediction of drug–target interactions
Molecular Diversity (2023) -
tempora
FastDTI: Drug-Target Interaction Prediction using Multimodality and Transformers
(2023) -
Maryam Tavakol
MuseBar: Alleviating Posterior Collapse in Recurrent VAEs Toward Music Generation
(2022) -
Uwe Dick,Maryam Tavakol,Ulf Brefeld
Rating Player Actions in Soccer
Frontiers in Sports and Active Living (2021) -
A. Saadallah,Maryam Tavakol,K. Morik
An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting
(2021)
Current Educational Activities
Ancillary Activities
No ancillary activities