M.Sc. Fatemeh Farokhmanesh
Fatemeh Farokhmanesh
Informatics 15 - Chair of Computer Graphics and Visualization (Prof. Westermann)
Postal address
Postal:
Boltzmannstr. 3
85748 Garching b. München
- Phone: +49 (89) 289 - 19454, 19476
- fatemeh.farokhmanesh@tum.de
Research
I am a PhD student at the group of Prof. Dr. Rüdiger Westermann. My primary research areas involve the utilization of deep learning techniques for weather forecasting and the analysis of meteorological data, as well as exploring the potential of deep learning in enhancing interactive visualization for statistical relationships.
Publications
A Compact and Efficient Neural Data Structure for Mutual Information Estimation in Large Timeseries
Fatemeh Farokhmanesh, Christoph Neuhauser, Rüdiger Westermann
36th International Conference on Scientific and Statistical Database Management (SSDBM) 2024
[PDF] [BIB]
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles
Fatemeh Farokhmanesh, Kevin Höhlein, Christoph Neuhauser, Tobias Necker, Martin Weissmann, Takemasa Miyoshi, Rüdiger Westermann
The Eurographics Association, Vision, Modeling, and Visualization 2023 (VMV 2023)
[PDF] [Video] [BIB]
Deep Learning-based Parameter Transfer in Meteorological Data
Fatemeh Farokhmanesh, Kevin Höhlein, Tobias Necker, Martin Weissmann, Takemasa Miyoshi, Rüdiger Westermann
Artificial Intelligence for the Earth Systems 2022
[PDF][BIB]
Deep neural networks regularization using a combination of sparsity inducing feature selection methods
Fatemeh Farokhmanesh, Mohammad T Sadeghi
Neural Processing Letters 2021
[PDF][BIB]
Deep feature selection using an enhanced sparse group lasso algorithm
Fatemeh Farokhmanesh, Mohammad T Sadeghi
27th Conference on Electrical Engineering 2019
[PDF]