Prof. Dr. Mascha Kurpicz-Briki
Profile

Prof. Dr. Mascha Kurpicz-Briki Dozentin
Contact
-
Address
Berner Fachhochschule
School of Engineering and Computer Science
FB Informatik
Höheweg 80
2502 Biel
Activities
Responsibilities
Diversity Responsible at the Computer Science Division
Representative of professors at the Department TI
Research
Specialisations
Fairness and Diversity
AI for Social Good
Natural Language Processing
Augmented Intelligence
Digital Ethics
Data Engineering
Smart Applications
Focus areas
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
CV
Biography
- Dr. Mascha Kurpicz-Briki obtained her PhD in the area of energy-efficient cloud computing at the University of Neuchâtel, Switzerland. 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.
- In particular, she is working on applied natural language processing (NLP) / machine learning for use cases having social or societal impact. This includes applications for healthcare, in particular in the field of AI for mental health, as well as research in the field of fairness in NLP, where she investigates how to measure and mitigate bias in word embeddings and language models. She is interested in human-centered NLP applications, following the principle of augmented intelligence - supporting humans instead of replacing them.
Projects
Publications
Conference Papers
Kurpicz, M., A-C. Orgerie, And A. Sobe, "How much does a VM cost? Energy-proportional Accounting in VM-based Environments", 24th International Conference on Parallel, Distributed and Network-Based Processing (PDP 2016), 02/2016.
Palomar, O., Rethinagiri, S., Yalcin, G., Titos-Gil, R., Prieto, P., Torrella, E., ...& Hayduk, Y. (2016, March). "Energy minimization at all layers of the data center: The ParaDIME project". In 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 684-689). IEEE.
Colmant, M., M. Kurpicz, P. Felber, L. Huertas, R. Rouvoy, And A. Sobe, "Process-level Power Estimation in VM-based Systems", EuroSYS, Bordeaux, France, ACM, 04/2015.
Kurpicz, M., A. Sobe, And P. Felber, "Using Power Measurements as a Basis for Workload Placement in Heterogeneous Multi-Cloud Environments", CrossCloudBrokers ’14 (co-located to Middleware 2014), Bordeaux, France, ACM, 12/2014.
Journal Papers
Colmant, M., Rouvoy, R., Kurpicz, M., Sobe, A., Felber, P., & Seinturier, L. (2018). "The next 700 CPU power models". Journal of Systems and Software, 144, 382-396.
Kurpicz, M., Orgerie, A. C., Sobe, A., & Felber, P. (2018). "Energy-proportional profiling and accounting in heterogeneous virtualized environments". Sustainable Computing: Informatics and Systems, 18, 175-185.
Posters/Demos/Technical Reports
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.
Selected Media/Blogs/Talks/Articles
Virtuelle Unterstützung - digitale Apps im Bereich Mental Health - Beitrag im SocietyByte, 11/2021
Vorurteile in künstlicher Intelligenz - Interview für SRF Forward, 12/2020
KI wird die Gesellschaft verändern - im Gespräch mit Technik&Wissen, 10/2020
Stereotypen in vortrainierten Sprachmodellen - Beitrag bei SocietyByte, 08/2020
The Digital Ethics - Fairness in Machine Learning - Meetup Talk, 04/2020
Fairness in der digitalen Gesellschaft - Talk an der Shift 2020, 02/2020
Wie energieeffizient ist deine Cloud Anwendung? - Vortrag am 4. Cloud Native Bern Meetup, 09/2019
Language skills and intercultural knowledge
Language skills
- German
- English
- French