Santiago Mazuelas

Ikerbasque Research Associate, BCAM - Basque Center for Applied Mathematics

Ikerbasque research Associate at the Basque Center for Applied Mathematics (BCAM).

Research line:

Statistical signal processing, machine learning, and data science.

He has received the Best Doctorate Thesis Award from University of Valladolid in 2011, the Young Scientist Prize from the Union Radio-Scientifique Internationale (URSI) Symposium in 2007, and the Early Achievement Award from the IEEE ComSoc in 2018. His papers received the IEEE Communications Society Fred W. Ellersick Prize in 2012, and Best Paper Awards from the IEEE ICC in 2013, the IEEE ICUWB in 2011, and the IEEE Globecom in 2011. Ramon y Cajal Researcher at BCAM from 2018 to 2022.

Previous research experience as a a Staff Engineer at Qualcomm Corporate Research and Development from 2014 to 2017. He previously also worked from 2009 to 2014 as Postdoctoral Fellow and Associate in the Wireless Information and Network Sciences Laboratory at the Massachusetts Institute of Technology (MIT).

Ph.D. in Mathematics (2009) and Ph.D. in Telecommunications Engineering (2011) from the University of Valladolid.

2023

Article / Minimax risk classifiers with 0-1 loss

Journal of Machine Learning Research

S. Mazuelas, M. Romero, and P. Grunwald

Article / A Variational Learning Approach for Concurrent Distance Estimation and Environmental Identification

IEEE Transactions on Wireless Communications

Li, Y.; Mazuelas, S.; Shen, Y.

2022

Article / The role of asymmetric prediction losses in smart charging of electric vehicles

International Journal of Electrical Power and Energy Systems

Straka, M.; Buzna, Ľ.; Refa, N.; Mazuelas, S.

2021

Article / Location Awareness in Beyond 5G Networks

IEEE Communications Magazine

Andrea Conti, Flavio Morselli, Zhenyu Liu, Stefania Bartoletti, Santiago Mazuelas, William C. Lindsey, and Moe Z. Win

Article / Probabilistic Load Forecasting Based on Adaptive Online Learning

IEEE Transactions on Power Systems

Alvarez, V.; Mazuelas, S.; Lozano, J.A.

Article / Location Awareness in Beyond 5G Networks

IEEE Communications Magazine

Conti, A.; Morselli, F.; Liu, Z.; Bartoletti, S.; Mazuelas, S.; Lindsey, W.C.; Morselli, M.Z.

2019

Article / Soft Information for Localization-of-Things

Proceedings of the IEEE

Conti, A.; Mazuelas, S.; Bartoletti, S.; Lindsey, W.C.; Win, M.Z.

2018

Article / Spatiotemporal information couplin in network navigation

IEEE Transactions on Information Theory

S. Mazuelas, Y. Shen, M. Z. Win

Article / Spatiotemporal information coupling in network navigation

IEEE Transactions on Information Theory

Mazuelas, S.; Shen, Y.; Win, M.Z.

Supervised Learning in Time-dependent Environments with Performance Guarantees

BCAM and University of the Basque Country

Veronica Alvarez - Finished

Covariate shift for minimax supervised learning

BCAM and University of the Basque Country

Jose Segovia - In preparation

2023

Conference Paper | Double-Weighting for Covariate Shift Adaptation

Proceedings of Machine Learning Research - Conference Paper

Segovia-Martín, J.I.; Mazuelas, S.; Liu, A.

Conference Paper | Efficient Learning of Minimax Risk Classifiers in High Dimensions

Proceedings of Machine Learning Research - Conference Paper

Bondugula, K.; Mazuelas, S.; Pérez, A.

2022

Conference paper | Minimax classification under concept drift with multidimensional adaptation and performance guarantees

V. Alvarez, S. Mazuelas, and J. A. Lozano

Conference Paper | Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees

Proceedings of Machine Learning Research - Conference Paper

Álvarez, V.; Mazuelas, S.; Lozano, J.A.

2021

Conference Paper | Deep Generative Model for Simultaneous Range Error Mitigation and Environment Identification

2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings - Conference Paper

Li, Y.; Mazuelas, S.; Shen, Y.

Conference Paper | A Deep Learning Approach for Generating Soft Range Information from RF Data

2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings - Conference Paper

Li, Y.; Mazuelas, S.; Shen, Y.

Conference Paper | Derivation of a Cost-Sensitive COVID-19 Mortality Risk Indicator Using a Multistart Framework

Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 - Conference Paper

Armananzas, R.; DIaz, A.; Martinez-Garcia, M.; Mazuelas, S.

Conference Paper | Deep GEM-Based Network for Weakly Supervised UWB Ranging Error Mitigation

Proceedings - IEEE Military Communications Conference MILCOM - Conference Paper

Li, Y.; Mazuelas, S.; Shen, Y.

Conference Paper | A Semi-Supervised Learning Approach for Ranging Error Mitigation Based on UWB Waveform

Proceedings - IEEE Military Communications Conference MILCOM - Conference Paper

Li, Y.; Mazuelas, S.; Shen, Y.

Conference Paper | Deep Generative Model for Simultaneous Range Error Mitigation and Environment Identification

Proceedings - IEEE Global Communications Conference, GLOBECOM - Conference Paper

Li, Y.; Mazuelas, S.; Shen, Y.

2020

Conference paper | General supervision via probabilistic transformations

Santiago Mazuelas and Aritz Perez

Conference paper | Minimax classification with 0-1 loss and performance guaran- tees

S. Mazuelas, A. Zanoni, and A. Pe ́rez

Conference Paper | General supervision via probabilistic transformations

Frontiers in Artificial Intelligence and Applications - Conference Paper

Mazuelas, S.; Pérez, A.

Conference Paper | Minimax classification with 0-1 loss and performance guarantees

Advances in Neural Information Processing Systems - Conference Paper

Mazuelas, S.; Zanoni, A.; Pérez, A.

2019

Conference Paper | Belief Condensation Filtering for RSSI-Based State Estimation in Indoor Localization

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings - Conference Paper

Mehryar, S.; Malekzadeh, P.; Mazuelas, S.; Spachos, P.; Plataniotis, K.N.; Mohammadi, A.