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David Atienza Alonso

Nationalité: Spanish and Swiss

EPFL STI IEM ESL
ELG 130 (Bâtiment ELG)
Station 11
1015 Lausanne

Expertise

Internet of Things (IoT) and edge computing design, embedded systems design, 2D/3D thermal modeling and management for multi-processor system-on-chip (MPSoc), electronic design automation (EDA), wireless body sensor networks (WBSN), memory optimizations, low-power hardware and software co-design, software mapping and embedded machine learning.

Mission

As head of the Embedded Systems Laboratory (ESL) the mission is the definition of system-level multi-objective design methods, optimization methodologies and tools for high-performance edge AI and embedded systems, as well as nano-scale Multi-Processor System-on-Chip (MPSoC) architectures targeting the Internet-of-Things (IoT) Era.

The main research lines within the ESL activities include, but are not restricted to, Circuits, Architectures and systems, Algorithms and Applications.

Expertise

Internet of Things (IoT) and edge computing design, embedded systems design, 2D/3D thermal modeling and management for multi-processor system-on-chip (MPSoc), electronic design automation (EDA), wireless body sensor networks (WBSN), memory optimizations, low-power hardware and software co-design, software mapping and embedded machine learning.
David Atienza Alonso is a professor of Electrical and Computer Engineering, Head of the Embedded Systems Laboratory (ESL) and Associate Vice President of Research Centers and Platforms at EPFL, Switzerland. Previously, he was the Scientific and Executive Director of the EcoCloud Sustainable Computing Center of EPFL from 2021 to 2024. He received his MSc and Ph.D. degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for high-performance multi-processor system-on-chip (MPSoC) and low-power Internet-of-Things (IoT) systems, including new 2-D/3-D thermal-aware design for MPSoCs and many-core servers, ultra-low power edge AI architectures for wireless body sensor nodes and smart embedded systems, HW/SW reconfigurable systems, dynamic memory optimizations, and network-on-chip design.
Dr. Atienza has co-authored more than 450 papers, three books, and 14 licensed patents in these previous areas. He has also received several recognitions and awards, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned several best paper awards at top conferences in the areas of electronic design automation (EDA), embedded and cyber-physical systems, and medical devices. He serves or has served as Editor-in-Chief of IEEE Trans. on CAD (T-CAD), and as associate editor of IEEE Trans. on Computers (TC), IEEE
Transactions on Emerging Topics in Computing (TETC), ACM Computing Surveys (CSUR), IEEE Design & Test of Computers (D&T), IEEE T-CAD, IEEE Transactions on Sustainable Computing (T-SUSC), ACM Journal on Emerging Technologies in Computing Systems (JETC), ACM Transactions on Embedded Computing Systems (TECS), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019, and is currently the Chair of the European Design Automation Association (EDAA). He is a Fellow of IEEE and of ACM.

ADMINISTRATIVE ASSISTANT

Homeira Salimi

Prix et distinctions

External Research Faculty Award of Oracle

Oracle Corporation

2012

IEEE CEDA Ernest S. Kuh Early Career Award

IEEE Council on Electronic Design Automation (CEDA)

2013

Distinguished Lecturer of the IEEE CASS

IEEE Circuits and Systems Society (CASS)

2014

ACM/IEEE/ESDA 55th DAC Under-40 Innovators Award for «notable impact in the field of design and automation of electronics»

ACM/IEEE/ESDA Design Automation Conference (DAC)

2018

Best Paper Award - GLSVLSI '22

ACM Great Lakes Symposium on VLSI 2022 (GLSVLSI)

2022

Best Student Co-Authored Paper Award - 34th IEEE CBMS

IEEE International Symposium on Computer-Based Medical Systems (CBMS).

2021

IEEE Fellow for “contributions to design methods and tools for multiprocessor systems on chip”.

Institute of Electrical and Electronics Engineers (IEEE)

2015

Ten-Year Retrospective Most Influential Paper Award - ICCAD 2020

IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

2020

Best Paper Award - IEEE ISVLSI 2020

IEEE Computer Society Annual Symposium on VLSI (ISVLSI)

2020

ELLIS Fellow

European Laboratory for Learning and Intelligent Systems (ELLIS)

2022

Test-of-Time Award, ACM/IEEE International Conference on Hardware/Software Codesign and System Synthesis (CODES ISSS)

IEEE/ACM Embedded Systems Week (ESWEEK)

2024

ACM Fellow for «contributions to the design of high-performance integrated systems and ultra-low power edge circuits and architectures»

Association for Computing Machinery (ACM)

2023

IEEE TCCPS Mid-Career Award «For sustained contributions to thermal processor design and medical wearables»

IEEE Technical Committee on Cyber-Physical Systems (TCCPS)

2018

IEEE TTTC/CEDA and ACM SIGDA Outstanding Service Award for «outstanding service to the EDA community as DATE General Chair in 2017»

IEEE Test Technology Technical Community (TTTC), IEEE Council on EDA (CEDA), and ACM Special Interest Group on Design Automation (SIGDA)

2018

IEEE/IFIP VLSI-SoC '09 - Best Paper Award

IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)

2009

ACM SIGDA Outstanding New Faculty Award

ACM Special Interest Group on Design Automation

2012

Publications représentatives

Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers

Ali Pahlevan, Xiaoyu Qu, Marina Zapater, David Atienza
Published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 37, No. 8, pp. 1667-1680, IEEE Press, August 2018. in

HEAL-WEAR: an Ultra-Low Power Heterogeneous System for Bio-Signal Analysis

Loris Duch, Soumya Basu, Rubén Braojos, Giovanni Ansaloni, Laura Pozzi, David Atienza
Published in IEEE Transactions on Circuits and Systems: Part I (TCAS-I), Vol. 64, Issue: 9, pp. 2448-2461, IEEE Press, September 2017. in

Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits

Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar
Published in IEEE Transactions on Computers, Vol. 65, Issue: 12, pp. 3591-3605, IEEE Computer Society, December 2016. in

3D-ICE: a Compact Thermal Model for Early-Stage Design of Liquid-Cooled ICs

Arvind Sridhar, Alessandro Vincenzi, David Atienza, Thomas Brunschwiler
Published in IEEE Transactions on Computers, Vol. 63, Issue: 10, pp. 2576-2589, IEEE Computer Society, October 2014. in

Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

Hossein Mamaghanian, Nadia Khaled, David Atienza, Pierre Vandergheynst
Published in IEEE Transactions on Biomedical Engineering, Vol. 58, No. 12, pp. 120-129, IEEE Press, September 2011. in

Development and Evaluation of Multi-Lead Wavelet-Based ECG Delineation Algorithms for Embedded Wireless Sensor Nodes

Francisco Rincon, Joaquin Recas, Nadia Khaled, David Atienza
Published in IEEE Transactions on Information Technology in BioMedicine, Vol. 16, Nr. 11, pp. 1-9, IEEE Press, November 2011. in

Recherche

Complete Publications List

The complete list of publications can be accessed at the ESL's publications webpage (http://esl.epfl.ch/page-33746.html) or my Google Scholar Page (http://scholar.google.com/citations?hl=en&user=H1JXhMIAAAAJ).

Enseignement et PhD

Current Phd

Wensi Zhang, Amirhossein Shahbazinia, Christodoulos Kechris, Clément Renaud Jean Choné, Anna Burdina, Dimitrios Samakovlis, Tommaso Terzano, Rubén Rodríguez Álvarez, Yuxuan Wang, Karan Pathak, Juan Sapriza, Grégoire Axel Eggermann, Hossein Taji, Kai Zhu, Stasa Kostic, Dimitra Tatli, Simone Machetti, Golnoosh Abdollahinejad, Qunyou Liu, Rafael Medina Morillas, Lara Orlandic, Mingfei Yu, Stefano Albini, Hojjat Karami, Riselda Kodra

Past Phd As Director

Mohamed Mostafa Sabry Aly, Ahmed Yasir Dogan, Arvind Sridhar, Hossein Mamaghanian, Shivani Raghav, Ivan Beretta, Karim Kanoun, Ruben Braojos Lopez, Loris Gérard Duch, Soumya Subhra Basu, Ali Pahlevan, Grégoire Surrel, Fabio Isidoro Tiberio Dell'Agnola, Dionisije Sopic, Arman Iranfar, Elisabetta De Giovanni, Yasir Mahmood Qureshi, Halima Najibi, William Andrew Simon, Farnaz Forooghifar, Benoît Walter Denkinger, Una Pale, Renato Zanetti, Flavio Ponzina, Saleh Baghersalimi, Marco Antonio Rios, Joshua Alexander Harrison Klein, Alireza Amirshahi, Darong Huang, Silvio Zanoli, Masinelli Giulio, Pengbo Yu

Past Phd As Codirector

Jeremy Hugues-Felix Constantin

Courses

Design and Optimization of Internet-of-Things Systems

EE-733

This course provides a complete overview of the most relevant subfields related to Internet of Things (IoT) systems, it presents the perspectives and the underlying technologies, with a particular focus on edge AI architectures and software (AI and TinyML algorithms), communication and Cloud systems

Lab on hardware-software digital systems codesign

EE-390(a)

Ce cours explore les techniques de concevoir conjointement la partie matérielle et logicielle pour développer des systèmes embarqués multicœurs hétérogènes exécutant Linux sur FPGA. Le cours explore les outils de synthèse de haut niveau (HLS) pour concevoir des accélérateurs matériels qui réduisent

Systèmes embarqués microprogrammés

EE-310

L'étudiant comprendra les architectures des systèmes embarqués microprogrammés, les architectures des microprocesseurs, hiérarchie de mémoire et les différents périphériques de Entrée/Sortie (E/S) inclus, utilisant comme étude de cas la plate-forme portable Nintendo DS.