Prof. Dr. Mascha Kurpicz-Briki

Steckbrief

Prof. Dr. Mascha Kurpicz-Briki Dozentin

  • Adresse Berner Fachhochschule
    Technik und Informatik
    Abt Informatik
    Höheweg 80
    2502 Biel

Tätigkeiten

Forschung

  • Fairness and Diversity

  • AI for Social Good

  • Natural Language Processing

  • Augmented Intelligence

  • Digital Ethics

  • Data Engineering

  • Smart Applications

  • Applying digital methods to social and community challenges

  • Developing metrics to measure fairness and inclusion in data

  • Wondering about ethical questions in machine learning and artificial intelligence

  • Discussing the relationship between human and machine in the context of augmented intelligence

  • Exploring the data footprint of the digital society

Lebenslauf

  • Dr. Mascha Kurpicz-Briki obtained her PhD in the area of energy-efficient cloud computing at the University of Neuchâtel. After her PhD, she worked a few years in industry, in the area of open-source engineering, cloud computing and analytics. She is now professor for Data Engineering and the deputy lead of the Applied Machine Intelligence Research Group at the Bern University of Applied Sciences in Switzerland, investigating how to apply digital methods and in particular natural language processing to social and community challenges.

Projekte

Publikationen

  • Kurpicz-Briki, M. "Towards a Fairness Score for Machine Learning Training Data". Poster Session, AMLD 2020, Lausanne, Switzerland, 01/2020.

  • Kurpicz-Briki, M., S. Diestelhorst, And P. Felber. "Impact of Mobile Applications on Battery Life: Power Characterization and Mitigation Measures".Technical report, outcome of a HiPEAC internship grant with ARM Research in Cambridge, UK, 2016.

  • Colmant, M., M. Kurpicz, P. Felber, L. Huertas, R. Rouvoy, And A. Sobe, "BitWatts: A Process-level Power Monitoring Middleware", Middleware 2014 Poster/Demos, Bordeaux, France, ACM, 12/2014.

  • Kurpicz, M., M. Colmant, L. Huertas, A. Sobe, P. Felber et R. Rouvoy, "Est-ce que ton application dans le nuage est économe en énergie? Estimation de la puissance par processus dans des systèmes virtualisés", ComPAS’2014 poster session, Neuchâtel, Switzerland, 04/2014.

Sprachen- und Länderkenntnisse

  • Deutsch
  • Englisch
  • Französisch