David Atienza Alonso
Nationalité: Spanish and Swiss
EPFL STI IEM ESL
ELG 130 (Bâtiment ELG)
Station 11
1015 Lausanne
+41 21 693 11 32
+41 21 693 11 31
Office: ELG 130
EPFL › STI › IEM › ESL
Site web: https://esl.epfl.ch
+41 21 693 11 31
Office: ELG 130
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDEE-ENS
+41 21 693 11 31
Office: ELG 130
EPFL › VPA › VPA-AVP-CP › AVP-CP › AVP-CP-GE
Expertise
Expertise
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 chipâ€.
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
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
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
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
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.