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Doctoral Thesis defense
Doctoral Thesis defense

Behavioral Modelling of CMOS SPADs based on TCAD Simulations.
Juan M. López Martínez
January 24, 2023

Post on the La Cuadratura del Círculo blog
Post on the La Cuadratura del Círculo blog

High-speed neuromorphic computing, an increasingly closer reality.
Rafaella Fiorelli

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IMSE-Forum Seminar
IMSE-Forum Seminar

Error correcting codes for hyper-speed memory and data storage.
IEEE Distinguished Lecturer Prof. Xinmiao Zhang, Dept. of Electrical & Computer Engineering, Ohio State University

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Proyecto DIGISOLAR
Green light for the financing with European funds of the DIGISOLAR project

The solar sensor project with Andalusian technology for satellites receives a subsidy from the program for Agrupaciones Empresariales Innovadoras (AEI) of the Ministerio de Industria, Comercio y Turismo, through Next Generation EU funds.

PRESS RELEASE

Proyecto NimbleAI
Kick-start of NimbleAI European project

The 19 project partners from across Europe gathered in Arrasate-Mondragón (Spain) to officially kick-start NimbleAI, the 3-year and 10M € research project which will improve energy-efficiency and performance of next-generation neuromorphic chips that sustain event-based vision.

PRESS RELEASE

Doctores Honoris Causa
Doctor Honoris Causa distinctions

IMSE researchers Manuel Valencia, Ángel Barriga y Santiago Sánchez have been awarded the Doctor Honoris Causa distinction by the Universidad Tecnológica de La Habana "José Antonio Echeverría" (CUJAE).

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IMSE Labs


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Education at IMSE


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Recent publications


The diverse meteorology of Jezero crater over the first 250 sols of Perseverance on Mars
J.A. Rodriguez-Manfredi, M. de la Torre Juarez, A. Sanchez-Lavega, R. Hueso, G. Martinez, M.T. Lemmon, C.E. Newman, A. Munguira, M. Hieta, L.K. Tamppari, J. Polkko, D. Toledo, E. Sebastian, M.D. Smith, I. Jaakonaho, M. Genzer, A. de Vicente-Retortillo, D. Viudez-Moreiras, M. Ramos, A. Saiz-Lopez, A. Lepinette, M. Wolff, R.J. Sullivan, J. Gomez-Elvira, V. Apestigue, P.G. Conrad, T. Del Rio-Gaztelurrutia, N. Murdoch, I. Arruego, D. Banfield, J. Boland, A.J. Brown, J. Ceballos, M. Dominguez-Pumar, S. Espejo, A.G. Fairén, R. Ferrandiz, E. Fischer, M. Garcia-Villadangos, S. Gimenez, F. Gomez-Gomez, S.D. Guzewich, A.-M. Harri, J.J. Jimenez, V. Jimenez, T. Makinen, M. Marin, C. Martin, J. Martin-Soler, A. Molina, L. Mora-Sotomayor, S. Navarro, V. Peinado, I. Perez-Grande, J. Pla-Garcia, M. Postigo, O. Prieto-Ballesteros, S.C.R. Rafkin, M.I. Richardson, J. Romeral, C. Romero, H. Savijärvi, J. T. Schofield, J. Torres, R. Urqui, S. Zurita & the MEDA team
Journal Paper · Nature Geoscience, 2023
NATURE    ISSN: 1752-0894
abstract      doi      

NASA’s Perseverance rover’s Mars Environmental Dynamics Analyzer is collecting data at Jezero crater, characterizing the physical processes in the lowest layer of the Martian atmosphere. Here we present measurements from the instrument’s first 250 sols of operation, revealing a spatially and temporally variable meteorology at Jezero. We find that temperature measurements at four heights capture the response of the atmospheric surface layer to multiple phenomena. We observe the transition from a stable night-time thermal inversion to a daytime, highly turbulent convective regime, with large vertical thermal gradients. Measurement of multiple daily optical depths suggests aerosol concentrations are higher in the morning than in the afternoon. Measured wind patterns are driven mainly by local topography, with a small contribution from regional winds. Daily and seasonal variability of relative humidity shows a complex hydrologic cycle. These observations suggest that changes in some local surface properties, such as surface albedo and thermal inertia, play an influential role. On a larger scale, surface pressure measurements show typical signatures of gravity waves and baroclinic eddies in a part of the seasonal cycle previously characterized as low wave activity. These observations, both combined and simultaneous, unveil the diversity of processes driving change on today’s Martian surface at Jezero crater.

Accurate Face Recognition on Highly Compressed Samples
A. Khan, J. Fernández-Berni and R. Carmona-Galán
Conference · International Conference on Signal Image Technology and Internet Based Systems SITIS 2022
abstract     

Compressive sensing is an emerging field for lowdimensional data acquisition. Samples are acquired in the compressed domain and utilized for signal reconstruction or as input features for a classifier. In this work, hardware-aware face recognition using compressed samples was investigated. A linear support vector machine (SVM) classifier was exploited with compressed samples as input features; Faces can be reliably recognized with high average accuracy (up to 99%). To assess the robustness of the proposed scheme, three image datasets covering different facial and illumination conditions were analyzed. Random (binary) and structured (Haar-transform-based) measurement matrices were employed for generating compressed samples. For one of the datasets, Extended Yale B, and using a random binary measurement matrix, the proposed scheme achieved 82% accuracy from as few as 15 compressed samples, which means a 1/20480 sensing ratio. Accuracy and compression are also remarkably high with respect to the state-of-the-art for the other two datasets.

 


A Facial Authentication System using Post-Quantum-Secure Data Generated on Mobile Devices
P. López-González, R. Arjona, R. Román and I. Baturone
Conference · International Conference on Mobile Computing and Networking MOBICOM 2022
abstract     

This paper describes a demonstrator of a post-quantum-secure facial authentication system distributed between a mobile device acting as a client and a remote computer acting as an authentication server. Homomorphic encryption based on Classic McEliece, one of the fourth-round candidates of the NIST post-quantum standardization process, is carried out by the client for protecting the biometric data extracted from the users’ faces at enrollment and verification. The remote computer only stores and compares the received protected data, thus preserving user privacy. An Android App and a Graphical User Interface (GUI) were implemented at the client and the server, respectively, to show the system performance in terms of computation and security.

A Methodology for Defect Detection in Analog Circuits based on Causal Feature Selection
G. Leger, A. Gines, V. Gutierrez and M.J. Barragan
Conference · IEEE International Conference on Electronics Circuits and Systems ICECS 2022
abstract     

The cost of assuring test quality significantly increases when dealing with complex systems with tightly integrated AMS-RF building blocks. Machine learning-based test may be a promising solution to this issue. These tests rely on regression models trained to replace costly performance measurements by simpler test signatures. However, these regression models are targeted only at parametric performance variations in defect-free circuits. The presence of spot defects may be undetected by these tests and lead to test quality degradation and reliability issues. In this work we propose a methodology based on causal discovery algorithms to screen out these spot defects.

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What we do


Our main area of specialization is the design of CMOS analog and mixed-signal integrated circuits and their use in different application contexts such as wireless communications, data conversion, smart imagers & vision sensors, biomedical devices, cybersecurity, neuromorphic computing and space technologies.

The IMSE-CNM staff consists of approximately one hundred people, including scientists and support personnel. IMSE-CNM employees are involved in advancing scientific knowledge, designing high level scientific-technical solutions and in technology transfer.

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