Sannara Ek - ឯក សាងណារ៉ា

I am currently a 3rd year PhD Candidate in the GETALP and M-PSI team at the Université Grenoble Alpes, supervised by Prof. Philippe Lalanda and Prof. François Portet. My thesis subject is on Federated Learning within a Pervasive Computing context where I develop lighweight ML solutions that are robust to hetereogenous environments.

I received my master degree specializing in computer vision and robotics from the Université Grenoble Alpes and Grenoble INP.

Activities

10/10/2022 -- 13/11/2022: Visiting Student Researcher
@ University of Milan - EveryWare Lab, Milan, Italie.
05/12/2021 -- 09/12/2021: Visiting Student Researcher
@ Université de Lorraine - Institut Jean Lamour, Nancy, France.

Supervision

05/2023 - 08/2023: Akram Chaouache's M1 thesis on Benchmarking self-supervised learning techniques for human activity recognition on mobile devices.

Journals

	Transformer-based models to deal with heterogeneous environments in Human Activity Recognition Sannara Ek, François Portet, Philippe Lalanda Personal and Ubiquitous Computing pdf \| code
	Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones Sannara Ek, François Portet, Philippe Lalanda, German Vega Pervasive and Mobile Computing pdf \| code

Proceedings

	Combining Public Human Activity Recognition Datasets TO Mitigate Labeled Data Scarcity Riccardo Presotto, Sannara Ek, Gabriele Civitarese, François Portet, Philippe Lalanda, Claudio Bettini 2023 IEEE International Conference on Smart Computing (SMARTCOMP) pdf \| code
	Federated Learning Within Pervasive Heterogeneous Environments Sannara Ek, François Portet, Philippe Lalanda 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) pdf
	Federated Self-Supervised Learning in Heterogeneous Settings: Limits of a Baseline Approach on HAR Sannara Ek, Romain Rombourg, François Portet, Philippe Lalanda 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) pdf
	A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison Sannara Ek, François Portet, Philippe Lalanda, German Vega 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom) pdf \| code
	Evaluating Federated Learning for Human Activity Recognition Sannara Ek, François Portet, Philippe Lalanda, German Vega 2020 Workshop AI for Internet of Things, in conjunction with IJCAI-PRICAI pdf
	Evaluation of federated learning aggregation algorithms: application to human activity recognition Sannara Ek, François Portet, Philippe Lalanda, German Vega UbiComp/ISWC '20 Adjunct: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers pdf