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Upegui Posada Andres

Professeur HES associé

Main skills

Professeur HES associé

Desktop: I308

Haute école du paysage, d'ingénierie et d'architecture de Genève
Rue de la Prairie 4, 1202 Genève, CH

Faculty
Technique et IT

Main Degree Programme
Informatique et systèmes de communication

BA HES-SO en Architecture - Haute école du paysage, d'ingénierie et d'architecture de Genève

Systèmes logiques
FPGA - VHDL
Smart Devices

MA BFH/HES-SO en Architecture - HES-SO Master

Embedded Hardware and Firmware

Ongoing

NORA - Noise Radar

Role: Co-applicant

Requérant(e)s: Meleder Glenn, Securaxis

Financement: Innosuisse

Description du projet :

Urban environments are exposed to high noise levels that have an impact on human health. Road traffic is a prominent factor of noise pollution. The NORA project aims to address this problem by developing an adaptive cloud-edge platform based on FPGA devices for smart cities by combining IoT, acoustic and AI.

Research team within HES-SO: Upegui Posada Andres , Abdennadher Nabil , Berthet Quentin , Poleggi Marco Emilio

Partenaires académiques: Lissek Hervé, EPFL

Partenaires professionnels: Meleder Glenn, Securaxis

Durée du projet: 01.02.2021 - 31.12.2023

Montant global du projet: 686'605 CHF

Url of the project site: https://lsds.hesge.ch/nora-noise-radar-distributed-acoustic-sensor-network-for-traffic-noise-impact-measurement/

Statut: Ongoing

Completed

Capidel - Capteur tactile capillaire avec IA embarquée pour robotique

Role: Co-applicant

Financement: HES-SO

Description du projet :

Capteur tactile avec capillaires et intelligence embarquée pour des manipulations robotiques délicates

Research team within HES-SO: Upegui Posada Andres , Lopez De Meneses Yuri , Llera Miguel , Gantel Laurent , Berthet Quentin

Durée du projet: - 15.11.2023

Montant global du projet: 220'000 CHF

Statut: Completed

Centre Suisse d'Intelligence Artificielle pour les PME (1ère année: 2022-2023)

AGP

Role: Co-applicant

Requérant(e)s: FR - EIA - Institut iCoSys

Financement: HES-SO Rectorat

Description du projet : L'objectif principal du projet est d'accélérer l'adoption de l'IA dans la transition digitale de nos PME suisses. Le défi socio-économique associé est d'augmenter leur compétitivité, de limiter les délocalisations et de créer de nouvelles compétences à l'interface des laboratoires et de l'utilisation pratique de l'IA. Comme illustré à la Figure 2, l'objectif sera supporté par trois axes complémentaires. Le premier axe est technico-scientifique et vise à combler le « research gap », en amenant les résultats de la recherche en IA au sein des PME. Nous visons le développement d'une palette d'outils qui vont dans cette direction : préparation des données, prototypage rapide, détection de biais, évaluation de modèles, outils de déploiement et d'intégration. De la recherche appliquée est encore nécessaire dans ces domaines, entre autre dans l'assemblage de microservices AI permettant la mise à l'échelle et le devops accélérant l'intégration dans les clouds et les systèmes embarqués. Le couplage benchmarking-optimisation de l'IA, ainsi que la détection automatique de biais sont également des sujets très actifs en recherche fondamentale et pour lesquels une recherche appliquée est nécessaire. Cet axe sera supporté par des partenaires d'infrastructure IT cloud et/ou edge situés en SO, avec pour objectif de faciliter les mises en production, de garantir une sécurité des données sur sol suisse et d'offrir une mise à l'échelle progressive des applications. A ce niveau, Exoscale, Infomaniak, Unit8 ainsi que d'autres entreprises de la Suisse romande ont été approchées, montrant un fort intérêt pour le projet et souhaitant contribuer de façon forte. Le deuxième axe adresse le « PME gap », associé au manque d'une culture orientée données, le data mindset. Nous souhaitons amener des composantes méthodologiques pour identifier les besoins et les cas d'utilisation potentiels de l'IA. Des activités de transfert de connaissances et de transfert technologiques basés sur les outils développés dans l'axe 1 seront développées dans cet axe. Finalement, un service de préparation aux accréditations d'IA sera proposé. Dans le cadre de ce deuxième axe, nous souhaitons ouvrir le projet aux autres domaines de la HES-SO, dont le domaine Économie et Services (années 2-4 du projet). A l'interface et en support de ces deux axes, le troisième axe vise le développement du premier Centre Suisse d'IA pour les PME ' CSIA-PME. Nous souhaitons mettre en réseau les 70 chercheurs actifs en IA sur les 5 sites de la HES-SO en cartographiant leurs expertises. Le CSIA PME a le potentiel d'augmenter le volume des projets IA dans les différents sites et de positionner la HES-SO comme acteur majeur en IA dans le paysage suisse romand. Finalement, le CSIA PME a pour vocation de continuer sa mission au-delà de la durée du projet.

, , , , , , , , , , , , , , , , , , , , , , , , Research team within HES-SO: Upegui Posada Andres Hennebert Jean Schmidt Joachim Chapuis Bertil Mudry Pierre-André Ghorbel Hatem Delafontaine Ludovic Rial Jonathan Carrino Stefano Donzé Célien Strano Gabriel De Salis Emmanuel Teofanovic Stefan Feuillade Florian Phung Thomas Petrucci Andrea Carrino Francesco Marques Reis Henrique Maire Alexis Rumley Sébastien Demion Arnaud Delgado Pamela Albertetti Fabrizio Marquis Rémy Pignat Marc

Partenaires académiques: IICT; VS - HEI; hepia inIT; FR - EIA - Institut iCoSys; Analyse de données

Durée du projet: 01.09.2022 - 31.08.2023

Montant global du projet: 190'000 CHF

Statut: Completed

EIPICSA - Efficient Information-Preserving Image Compression for Space Applications

Role: Main Applicant

Financement: ESA

Description du projet :

Efficient Information-Preserving Image Compression for Space Applications for real-time mage and video acquisition implemented on FPGA.

Research team within HES-SO: Upegui Posada Andres , Geier Phillip , Guerrieri Andrea

Partenaires professionnels: Sanguinetti Bruno, Dotphoton

Durée du projet: 01.09.2021 - 30.06.2023

Montant global du projet: 104'000 CHF

Statut: Completed

DeepAPMEA

Role: Main Applicant

Financement: HES-SO

Description du projet :

Ce projet en collaboration entre HEPIA et la HEIG-VD vise a développer des solutions basées sur des réseaux de neurones artificiels pour analyser et classifier des activités électriques de tissus de neurones. Ces réseaux neuronaux seront également implémentés sur des cicuits FPGA.

Research team within HES-SO: Upegui Posada Andres , Geier Phillip , Mor Flavio , Perez Uribe Andres , Studer Bruno , Barrientos Diego , Stoppini Luc , Satizabal Mejia Hector Fabio

Durée du projet: 01.05.2019 - 31.03.2022

Montant global du projet: 150'000 CHF

Statut: Completed

SOMA - Self Organising Machine Architecture

Role: Main Applicant

Financement: Fonds National Suisse

Description du projet :

SOMA is an adaptive reconfigurable architecture to the extent that it will dynamically re-organize both its computation and its communication by adapting itself to the data to process. SOMA is based on cellular computing since it targets a massively parallel, distributed and decentralized neuromorphic architecture. SOMA is a neuromorphic hardware system since its organization emerges from the interactions between neural maps transposed into hardware from brain observation.

Research team within HES-SO: Upegui Posada Andres , Vannel Fabien , Schmidt Joachim , Berthet Quentin , Barrientos Diego

Partenaires académiques: Benoït Miramond, Université de Nice; Bernard Girau, Université de Lorraine; Nicolas Rougier, INRIA - Bordeaux

Durée du projet: 01.03.2018 - 01.12.2021

Montant global du projet: 461'238 CHF

Url of the project site: https://www.hes-so.ch/fr/self-organizing-machine-architecture-soma-13298.html

Publications liées:

Statut: Completed

DyReCte - Dynamically Reconfigurable Cryptoengine

Role: Main Applicant

Financement: Innosuisse

Description du projet :

Ce projet a deux objectifs : 1) Développer un cœur de calcul sur une architecture matérielle pour implémenter des algorithmes de cryptographie post-quantique et 2) Concevoir et implémenter une architecture FPGA dynamiquement reconfigurable pour des nano-satellites. Cette architecture fournira des capacités de tolérance aux pannes et permettra de sécuriser les communications entre le satellite et la terre.

Research team within HES-SO: Upegui Posada Andres , Berthet Quentin , Gantel Laurent , Guerrieri Andrea , Da Silva Marques Gabriel

Partenaires académiques: Duc Alexandre, HEIG-VD

Partenaires professionnels: Felk Yacine, Cysec S.A.

Durée du projet: 17.06.2019 - 17.06.2021

Montant global du projet: 417'770 CHF

Statut: Completed

Assistant portatif permettant d'assurer la sécurité de groupes d'enfants lors de sorties

AGP

Role: Co-applicant

Requérant(e)s: IICT, Perez-Uribe Andres, IICT

Financement: HES-SO Rectorat

Description du projet : Every child has temporarily been lost when visiting a crowded place in the city. In most cases, the child is rapidly located. However, many parents and childminders taking care of a group of children would certainly desire to have a virtual assistant capable of alerting them when a child moves away or he/she feels threatened (e.g., the child lost his carers or is approached by a stranger). Indeed, according to the MCE (Missing Children Europe) foundation, a child is reported missing every 2 minutes in Europe, and a rapid response can prevent dangers and avoid the child's abduction. Current solutions are based on GPS- endowed watches which do not properly work indoors, are power hungry and do not detect stressful situations. We propose to develop the WEAZARD system, a WEArable system to overcome potential haZARDs while going out with children. In contrast to existing systems, WEAZARD allows for relative positioning in indoor environments where GPS is not available. It will be based on a series of wearable devices (e.g., wristbands) integrating mainly a GSR sensor (previously developed by the Archsensor project) and Bluetooth LE communication capabilities. A tablet or smartphone application will collect information regarding the approximate distance of the children wearing the wristbands and will generate alarms when a child is out of reach and/or he/she is stressed. The wearable devices will be endowed with simple communication capabilities, such that they can read information from beacons pre- installed in the environment, and relay such information to other wristbands and to the master tablet/smartphone application. The novelty of our solution lies in the development of algorithms to properly and safely deal with this information to estimate relative localization, the proximity of out-of-sight users to other users, and to detect potential threats. Such a system can be used by childminders or families while going out in the city (e.g., taking the subway, visiting a museum, a mall, etc) or attending a large public event (e.g., comptoir suisse). Because anyone with the right hardware is capable of receiving and sending beacons, an attacker could potentially inject forged messages that could break the location estimation algorithms. Forged messages could also spoof the identity of a wristband so that a child who is no longer present still appears to be there. Security protocols will be used to authenticate the information relayed to avoid these kinds of events.

Research team within HES-SO: Upegui Posada Andres , Satizabal Mejia Hector Fabio , Lescourt Adrien Marc Yves , Rubinstein Scharf Abraham , Perez Uribe Andres

Partenaires académiques: IICT; hepia inIT; Perez-Uribe Andres, IICT

Durée du projet: 01.01.2016 - 30.06.2017

Montant global du projet: 145'000 CHF

Statut: Completed

Réseau de capteurs sans fils pour le suivi de l'activité physique des personnes handicapées

AGP

Role: Co-applicant

Requérant(e)s: IICT, Perez-Uribe Andres, IICT

Financement: HES-SO Rectorat

Description du projet : Physical inactivity has been identified as a major contributor to the exacerbation of physical illnesses. The WHO identified it as the fourth leading risk factor of global mortality after high blood pressure, tobacco use and high blood glucose. Therefore, in recent years, many actions against inactivity have come to the fore. For instance, diverse pedometer devices have been developed to help people reach certain physical activity goals, like walking 30 minutes per day. However, an equivalent recommendation for disabled people using wheelchairs is missing and the few studies that have dealt with this issue concluded that commercial physical activity measurement devices are not appropriate for them. This project has the objective of developing an embedded physical activity measurement system for disabled people using wheelchairs, by exploiting on-body and wheelchair-mounted wireless sensors. This project will gather together data scientists (Pr. Perez-Uribe), embedded systems designers (Pr. Upegui & Pr. Giandomenico), biomechanics experts (Pr. Schmitt) and Human motricity and handicap experts (Pr. Degache). During the first phase of the project, we will use diverse configurations of sensors (motion, ECG, EMG) to assess the physical activity of able-bodied people on a wheelchair. We will first use off-the-shelf sensors to capture data and apply feature-extraction and machine learning techniques to the sensor readings in order to come-up with non-linear models matching the relationship between raw data and energy expenditure, provided by a portable metabolic cart. In parallel, we will develop our own embedded hardware to optimize size, maximize comfort, and minimize costs. Diverse activities like resting, deskwork, and wheelchair propulsion along different surfaces and slopes will be considered. During the second phase, we will evaluate our system with disabled patients suffering from Spinal Cord Injury in collaboration with the Swiss Paraplegic Centre or the SuvaCare (the HESAV team will submit a project proposal in October to fund their contribution during this phase). The result of this project will be an embedded system for home monitoring of the physical activity of disabled people, which can be used to promote ACTIvity as an antiDOTE to illness exacerbation, and for instance, to track the evolution of mobility during rehabilitation. ACTIDOTE aims at closing a gap regarding the availability of self-tracking/motivational devices among disabled people.

Research team within HES-SO: Upegui Posada Andres , Giandomenico Nicola , Satizabal Mejia Hector Fabio , Charrotton Yannick , Grillon Alexandre , Gantel Laurent , Greppin Christophe , Lescourt Adrien Marc Yves , Rastoll Clément , Perez Uribe Andres , Schmitt Carl

Partenaires académiques: IICT; COMATEC; VD-HESAV; hepia inSTI; hepia inIT; Perez-Uribe Andres, IICT

Durée du projet: 01.12.2014 - 30.09.2016

Montant global du projet: 249'990 CHF

Statut: Completed

AcceleRation on heteRogenous cOmputing hardWare

AGP

Role: Main Applicant

Financement: HES-SO Rectorat; VS - Institut Systèmes industriels; ReDS; hepia inIT; FR - EIA - Institut IPRINT; Analyse de données; hepia inIT

Description du projet : " The goal of the project is to develop a prototype of an embedded heterogeneous high performance computation platform based on FPGAs, GPUs, and CPUs. Such platform will provide the possibility to execute a given task on the platform offering the better performances according to the tasks nature. We will mainly focus on the technical aspects concerning system setup and efficient data transmission between the different components of the system. At the end of the project we will present with a demonstrator of an embedded heterogenous computing platform running a real-world application. "

Research team within HES-SO: Upegui Posada Andres , Mudry Pierre-André , Gantel Laurent , Bilat Cédric , Bullot Dominique , Vannel Fabien , Rossier Daniel , Pignat Marc

Durée du projet: 01.05.2013 - 31.10.2014

Montant global du projet: 300'000 CHF

Statut: Completed

High-peformance Pipeline for Fuzzy Modelling in Bioinformatics (Pipeline de modélisation floue à haute performance pour la bioinformatique )

AGP

Role: Co-applicant

Requérant(e)s: IICT, Pena Carlos Andrés, IICT

Financement: HES-SO Rectorat

Description du projet : Ce projet vise à développer une méthodologie analytique, et l'outil informatique à haute performance associé, particulièrement adaptée aux données et au problème de recherche de biomarqueurs en bioinformatique. L'outil prendra la forme d'un pipeline modulaire hautement configurable et intégrera une collection de techniques avancées pour l'analyse de données que nous développons dans nos projets R&D ; le c'ur de ce pipeline étant notre méthode de modélisation floue. Le pipeline sera gourmand en puissance de calcul et demandera une plateforme de calcul performante. Nous envisageons, d'un côté, une solution purement logicielle : cluster, serveur. D'un autre côté, pour diminuer les éventuels coûts élevés en termes d'infrastructure et de consommation d'énergie, nous allons aussi intégrer un accélérateur matériel offrant une haute performance en termes de vitesse et d'efficacité énergétique.

Research team within HES-SO: Upegui Posada Andres , Barreto Sanz Miguel Arturo , Pena Carlos Andrés , Péclard Jean-Rémi

Partenaires académiques: IICT; hepia inIT; Pena Carlos Andrés, IICT

Durée du projet: 01.01.2013 - 30.06.2014

Montant global du projet: 150'300 CHF

Statut: Completed

Pervasive computing framework for modeling complex virtually-unbounded systems

AGP

Role: Collaborator

Requérant(e)s: ReDS, Sanchez Eduardo, ReDS

Financement: VD - Ra&D; European commission

Description du projet : We will develop a scalable hardware platform made of custom reconfigurable devices endowed with bio-inspired capabilities that will enable the simulation of large-scale complex systems and the study of emergent complex behaviors in a virtually unbounded wireless network of computing modules. At the heart of these ubiquitous computing modules (ubidules), we will use a custom reconfigurable electronic device capable of implementing bio-inspired mechanisms such as growth, learning, and evolution. This reconfigurable circuit will be associated to rich sensory elements and wireless communication capabilities. Such an infrastructure will provide several advantages compared to classical software simulations: speed-up, an inherent real-time interaction with the environment, self-organization capabilities, simulation in the presence of uncertainty, and distributed multi-scale simulations. The strong interaction between our hardware infrastructure and the real environment circumvent the need to simulate the environment and ease the occurrence of unexpected emergent phenomena. The observation of such emergent phenomena will be now facilitated by the shorter simulation time, brought by the hardware speed-up. One of the major difficulties of a complex system simulation is to define the structural organization of the modules composing the model. The self-organization and bio-inspired capabilities of our platform will bring an innovative solution to this problem: an evolving and hierarchical structure. The function of each ubidule can be dynamically and autonomously determined by the simulation itself: it can be an independent agent or a part of a largest entity. We have identified four domains where our modeling infrastructure will prove its usefulness as a powerful and innovative simulation tool: biologically-plausible developing neural networks modeling, culture dissemination modeling, gene- regulatory networks modeling, and cooperative collective robotics modeling. We will perform qualitative and quantitative comparisons between classical software implementations of these four target modeling applications and their implementation running on a network of ubidules, our PERPLEXUS platform. The PERPLEXUS platform will thus provide an unprecedented modeling framework thanks to the pervasive nature of the hardware platform, its bio-inspired capabilities, its strong interaction with the environment, and its dynamical topology.

Research team within HES-SO: Upegui Posada Andres , Thoma Yann , Satizabal Mejia Hector Fabio , Graf Yoan , Corbaz Alexandre , Perez Uribe Andres , Masle Sébastien , Auberson Olivier

Partenaires académiques: ReDS; CE-RaD; UPC; UJF; UNIL; Politechnika Lodzka; Wany Robotics; CNRS; SCIPROM; Sanchez Eduardo, ReDS

Durée du projet: 01.09.2006 - 31.03.2010

Montant global du projet: 2'585'212 CHF

Statut: Completed

2023

Applications Enabled by FPGA-Based Technology

Book

Upegui Posada Andres, Guerrieri Andrea, Gantel Laurent

2023, Basel, Switzerland : MDPI, 198 p.

PEOPLE@HES-SO Directory and Skills inventory

Upegui Posada Andres

Professeur HES associé

Main skills

Embedded Systems

FPGA

Adaptive systems

Computer Architecture

Professeur HES associé

PEOPLE@HES-SO
Directory and Skills inventory