Prof. Dr. Mascha Kurpicz-Briki

Enseignement programme Bachelor en Informatique (Orientation Data Engineering)

Enseignement programme Bachelor Informatique Médicale

Recherche et Développement, Institute for Data Applications and Security IDAS

Ethique de la numérisation et fairplay

Systèmes distribués

Green IT

Large-Scale Systems

Plateformes d'orchestration de containers / Kubernetes

Central Log Management

Data Engineering

Smart Applications

Applying Digital Methods to Social and Community Challenges

Analyzing the Fairness and Ethical Correctness of (Media) Contents

Exploring the Energy Footprint of Modern Data Centers

Exploring the Data Footprint of the Digital Society

Building Large-Scale Distributed Platforms for the Digital Age

The Digital Ethics - Fairness in Machine Learning - Meetup Talk, 04/2020

Possibilités techniques pour la détection automatique de la discrimination dans les textes - article dans le rapport sur le racisme de la fondation contre le racisme et l’antisémitisme (GRA) et de la société pour les minorités en Suisse (GMS), 03/2020

Fairness in der digitalen Gesellschaft - Talk an der Shift 2020, 02/2020

Towards a Fairness Score for Machine Learning Training Data - Talk at the Applied Machine Learning Days 2020 - AI&NLP Track, 01/2020

Wie energieeffizient ist deine Cloud Anwendung? - Vortrag am 4. Cloud Native Bern Meetup, 09/2019

Glauser, C., L. Schmid and M. Kurpicz-Briki, "Identifying the Public Interest in COVID-19 Contact Tracing Apps in Switzerland Based on Online Search Behavior", to be published at ICEGOV 2020, Athens, Greece, 09/2020.

Kurpicz-Briki, M. "Cultural Differences in Bias? Origin and Gender Bias in Pre-Trained German and French Word Embeddings", 5th SwissText & 16th KONVENS Joint Conference 2020, Zurich, Switzerland, 06/2020.

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.

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.

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.