Prof. Dr. Magda Gregorová

Projects

MSc. thesis

• Muhammad Zakriya Shah Sarawr: Step Detection (2023, THWS) (github repo)
• Marius Benkert: Cross Topology Modeling and Optimization of Electrical Drives Using Machine Learning (2023, THWS, 2nd examiner)
• Ana Muñoz Gutiérrez: Transfer Learning in Crop Remote Sensing (2023, THWS) (github repo)
• Alexander Lorz: Entwicklung eines neuronalen Netze zur gezielten Veränderung von Bildern (2022, THWS)
• Marc Desaules: Learned compression with VAEs applied to one dimensional signal (2021, University of Geneva)
• Frantzeska Lavda: A Study of Recurrent neural networks (RNNs) in univariate and multivariate time series (2016, University of Geneva, pdf)

Publications

• DBLP
• Google Scholar

Vita

Magda Gregorova comes from Prague, Czech Republic, where she obtained her Master‘s degree in Statistics (2001) from the University of Economics. She started her career of an applied statistician in the Czech National Bank, where she headed a technical unit on financial statistics and collaborated closely with the ECB and the IMF. After several years in banking she has decided to follow an international career and joined Eurocontrol, the European Organization for the Safety of Air Navigation based in Brussels, Belgium, as a statistical analyst and forecaster. She then moved to Geneva, Switzerland, where she obtained in 2018 a PhD in machine learning from the Computer Science Department of the University of Geneva. She continued as a post-doc in the Data Mining and Machine Learning group of the University of Applied Sciences of Western Switzerland. 

Magda Gregorova holds since 2021 the professorship for “Representation and Learning in Aritificial Intelligence” at the Faculty of Computer Science and Business Information Systems of the THWS. Her teaching acktivites are mainly within the international masters on artificial intelligence in the areas of machine learning and deep learning. In her research she focuses on deep unsupervised learning methods for modelling complex high-dimensional distributions and data representatoins for downstream tasks. She leads the research Center for Artificial Intelligence (CAIRO), which has been established at the THWS as part of the data-science node of the HTA network.

Academic service

Boards

• FIW, THWS - member of the faculty board
• Faculty of Informatics and Statistics, University of Economics and Business, Prague, Czech Republic - member of the scientific board

Reviewing

• ECML-PKDD (2022)
• ICLR (2022, 2023)
  
• ICML (2021, 2022, 2023)
• MCPR (2021, 2022)
• NeurIPS (2021, 2022)
• TMLR (since 2022)
• FNR Core Program, Luxembourg (2021, 2022, 2023)