Research
My main research interests are on unsupervised machine learning, particularly with geometrically-inspired representations. During my PhD, I worked on problems ranging from temporal graphs to generative modeling. Prior to my PhD research, my research interests focused on data visualization.
Teaching
I have been regularly teaching courses every semester since 2020. I mostly teach for graduate (MSc. level) courses, but in the past I have worked as a teaching assistant for BSc. courses.
When the opportunity allows it, I also try to come up with alternative ways to help students understand some concepts. Particularly from the perspective of a Deep Learning course, I have designed a visualization tool for convolutions. I would be happy to hear if you found it useful or have feedback.
Publications
- Studying the Propagation of Information in VAE Decoders
- Y. Rudolph, S. G. Fadel, S. Mair, U. Brefeld
- Northern Lights Deep Learning Workshop, 2022
- Principled Interpolation in Normalizing Flows
- Contextual Movement Models Based on Normalizing Flows
- S. G. Fadel*, S. Mair*, R. da S. Torres, U. Brefeld
- AStA Advances in Statistical Analysis, Special Issue on Statistics in Sports, 2021
- DOI
- Efficient Normalizing Flows to Polytopes
- S. G. Fadel, S. Mair, R. da Silva Torres, U. Brefeld
- Northern Lights Deep Learning Workshop, 2020
- An Appropriate Prior Distribution for Interpolating Latent Samples in Flow-based Generative Models (abstract)
- S. G. Fadel, S. Mair, R. da Silva Torres, U. Brefeld
- Northern Lights Deep Learning Workshop, 2020
- Neural Relational Inference for Disaster Multimedia Retrieval
- S. G. Fadel, R. da S. Torres
- Multimedia Tools and Applications, 2020
- DOI
- Link Prediction in Dynamic Graphs for Recommendation
- S. G. Fadel, R. da S. Torres
- NeurIPS Workshop on Relational Representation Learning, 2018
- arXiv
- Graph-based Early Fusion for Flood Detection
- R. de O. Werneck, Í. C. Dourado, S. G. Fadel, S. Tabbone, R. da S. Torres
- IEEE International Conference on Image Processing (ICIP), 2018
- DOI
- UPDis: A User-Assisted Projection Technique for Distance Information
- T. A. T. T. Neves, S. G. Fadel, G. M. Hilasaca, F. M. Fatore, F. V. Paulovich
- Information Visualization, 2018
- DOI
- Exploiting ConvNet Diversity for Flooding Identification
- K. Nogueira, S. G. Fadel, Í. C. Dourado, R. de O. Werneck, J. A. V. Muñoz, O. A. B. Penatti, R. T. Calumby, L. T. Li, J. A. dos Santos, R. da S. Torres
- IEEE Geoscience and Remote Sensing Letters, 2018
- DOI
- Visualizing the Hidden Activity of Artificial Neural Networks
- P. E. Rauber, S. G. Fadel, A. X. Falcão, A. C. Telea
- IEEE Transactions on Visualization and Computer Graphics, 2016
- DOI
- LoCH: A Neighborhood-based Multidimensional Projection Technique for High-Dimensional Sparse Spaces
- S. G. Fadel, F. M. Fatore, F. S. L. G. Duarte, F. V. Paulovich
- Neurocomputing, 2015
- DOI
- On the Effectiveness of User Manipulation in Multidimensional Projections
- S. G. Fadel, F. V. Paulovich
- Conference on Graphics, Patterns and Images, XXVIII; Workshop on Visual Analytics, Information Visualization and Scientific Visualization, 2015
- Nmap: A Novel Neighborhood Preservation Space-filling Algorithm
- F. S. L. G. Duarte, F. Sikansi, F. M. Fatore, S. G. Fadel, F. V. Paulovich
- IEEE Transactions on Visualization and Computer Graphics, 2014
- DOI
Background
- Postdoc researcher (2021─present)
- Machine Learning Group of Prof. Dr. Ulf Brefeld
- Institute of Information Systems, Leuphana University
- Visiting researcher (2019─2020, 15 months)
- Machine Learning Group
- Advised by Prof. Dr. Ulf Brefeld
- Ph.D. in Computer Science (2017─2021)
- Institute of Computing, University of Campinas
- Advised by Prof. Dr. Ricardo da S. Torres
- Visiting researcher (2015─2016, 3 months)
- Scientific Visualization and Computer Graphics
- Advised by Prof. Dr. Alex Telea
- M.Sc. in Computer Science (2014─2016)
- Institute of Mathematical and Computer Sciences, University of São Paulo
- Advised by Prof. Dr. Fernando Paulovich
- B.Sc. in Computer Science (2010─2013)