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Person

David Atienza Alonso

Expertise Internet of Things (IoT) and edge AI computing architectures design, embedded systems design, 2D/3D thermal modeling and management for multi-processor system-on-chip (MPSoc), electronic design automation (EDA), smart wearables and medical systems, wireless body sensor networks (WBSN) and smart wearables, memory optimizations, low-power hardware and software co-design, 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 AI computing architectures design, embedded systems design, 2D/3D thermal modeling and management for multi-processor system-on-chip (MPSoc), electronic design automation (EDA), smart wearables and medical devices, wireless body sensor networks (WBSN), memory optimizations, low-power hardware and software co-design, 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, and an elected member of the Academia Europaea.ADMINISTRATIVE ASSISTANT Homeira Salimi ResearchComplete 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). Teaching & PhD PhD Students 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, Kai Zhu, Stasa Kostic, Dimitra Tatli, Golnoosh Abdollahinejad, Qunyou Liu, Stefano Albini, Hojjat Karami, Riselda Kodra, Patrik Kukic Past EPFL PhD Students 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, Hossein Taji, Pengbo Yu, Simone Machetti, Rafael Medina Morillas, Lara Orlandic Past EPFL PhD Students as codirector Jeremy Hugues-Felix Constantin, Mingfei Yu 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) This course explores hardware-software co-design techniques to develop heterogeneous multi-core embedded systems running Linux on FPGAs. The course explores high-level synthesis tools (HLS) to design hardware accelerators that reduce total execution time and energy consumption for complex tasks. Microprogrammed Embedded Systems EE-310 The student will understand the architectures of embedded microprogrammed systems, microprocessor architectures, memory hierarchies, and various Input/Output (I/O) devices, using the Nintendo DS handheld platform as a case study. Awards Member of Engineering Section of Academia Europaea Academia Europaea 2026 Best Paper Award (System Design Track) - CODES+ISSS - IEEE Overall ESWEEK Conference BPA Nomination IEEE/ACM Embedded Systems Week (ESWEEK) 2025 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 ELLIS Fellow European Laboratory for Learning and Intelligent Systems (ELLIS) 2022 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 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 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 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 TCCPS Mid-Career Award «For sustained contributions to thermal processor design and medical wearables» IEEE Technical Committee on Cyber-Physical Systems (TCCPS) 2018 IEEE Fellow for "contributions to design methods and tools for multiprocessor systems on chip". Institute of Electrical and Electronics Engineers (IEEE) 2015 Distinguished Lecturer of the IEEE CASS IEEE Circuits and Systems Society (CASS) 2014 IEEE CEDA Ernest S. Kuh Early Career Award IEEE Council on Electronic Design Automation (CEDA) 2013 ACM SIGDA Outstanding New Faculty Award ACM Special Interest Group on Design Automation 2012 External Research Faculty Award of Oracle Oracle Corporation 2012 IEEE/IFIP VLSI-SoC '09 - Best Paper Award IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) 2009

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Courses taught by this person (3)

EE-390(a): Lab on hardware-software digital systems codesign

This course explores hardware-software co-design techniques to develop heterogeneous multi-core embedded systems running Linux on FPGAs. The course explores high-level synthesis tools (HLS) to design hardware accelerators that reduce total execution time a ...

EE-733: 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 ...

EE-310: Microprogrammed Embedded Systems

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 portabl ...

MOOCs taught by this person (1)

IoT Systems and Industrial Applications with Design Thinking

Related publications (385)

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People doing similar research (37)

Giovanni De Micheli

François Maréchal

Ph D. in engineering Chemical process engineer Researcher and lecturer in the field of computer aided process and energy systems engineering. Lecturer in the mechanical engineering, electrical engineering and environmental sciences engineering in EPFL. I'm responsible for the Minor in Energy of EPFL and I'm involved in 3 projects of the Competence Center in Energy and Mobility (2nd generation biofuel, Wood SOFC, and gas turbine development with CO2 mitigation) in which i'm contributing to the energy conversion system design and optimisation. Short summary of my scientific carrer After a graduation in chemical engineering from the University of Liège, I have obtained a Ph. D. from the University of Liège in the LASSC laboratory of Prof. Kalitventzeff (former president of the European working party on computer aided process engineering). This laboratory was one of the pioneering laboratory in the field of Computer Aided Process Engineering. In the group of Professor Kalitventzeff, I have worked on the development and the applications of data reconciliation, process modelling and optimisation techniques in the chemical process industry, my experience ranges from nuclear power stations to chemical plants. In the LASSC, I have been responsible from the developments in the field of rational use of energy in the industry. My first research topic has been the methodological development of process integration techniques, combining the use of pinch based methods and of mathematical programming: e.g. for the design of multiperiod heat exchanger networks or Mixed integer non linear programming techniques for the optimal management of utility systems. Fronted with applications in the industry, my work then mainly concentrated on the optimal integration of utility systems considering not only the energy requirements but the cost of the energy requirements and the energy conversion systems. I developed methods for analysing and integrating the utility system, the steam networks, combustion (including waste fuel), gas turbines or other advanced energy conversion systems (cogeneration, refrigeration and heat). The techniques applied uses operation research tools like mixed integer linear programming and exergy analysis. In order to evaluate the results of the utility integration, a new graphical method for representing the integration of the utility systems has been developed. By the use of MILP techniques, the method developed for the utility integration has been extended to handled site scale problems, to incorporate environmental constraints and reduce the water usage. This method (the Effect Modelling and Optimisation method) has been successfully applied to the chemical plants industry, the pulp and paper industry and the power plant. Instead of focusing on academic problems, I mainly developed my research based on industrial applications that lead to valuable and applicable patented results. Recently the methods developed have been extended to realise the thermoeconomic optimisation of integrated systems like fuel cells. My present R&D work concerns the application of multi-objective optimisation strategies in the design of processes and integrated energy conversion systems. Since 2001, Im working in the Industrial Energy Systems Laboratory (LENI) of Ecole Polytechnique fédérale de Lausanne (EPFL) where Im leading the R&D activities in the field of Computer Aided Analysis and Design of Industrial Energy Systems with a major focus on sustainable energy conversion system development using thermo-economic optimisation methodologies. A part from the application and the development of process integration techniques, that remains my major field of expertise, the applications concern : Rational use of water and energy in Industrial processes and industrial production sites : projects with NESTLE, EDF, VEOLIA and Borregaard (pulp and paper).Energy conversion and process design : biofuels from waste biomass (with GASNAT, EGO and PSI), water dessalination and waste water treatment plant (VEOLIA), power plant design (ALSTOM), Energy conversion from geothermal sources (BFE). Integrated energy systems in urban areas : together with SCANE and SIG (GE) and IEA annexe 42 for micro-cogeneration systems. I as well contributed to the definition of the 2000 Watt society and to studies concerning the emergence of green technologies on the market in the frame of the Alliance for Global Sustainability.

Babak Falsafi

Babak is a Professor in the School of Computer and Communication Sciences and the founding director of the EcoCloud, an industrial/academic consortium at EPFL investigating scalable data-centric technologies. He has made numerous contributions to computer system design and evaluation including a scalable multiprocessor architecture which was prototyped by Sun Microsystems (now Oracle), snoop filters and memory streaming technologies that are incorporated into IBM BlueGene/P and Q and ARM cores, and computer system performance evaluation methodologies that have been in use by AMD, HP and Google PerKit . He has shown that hardware memory consistency models are neither necessary (in the 90's) nor sufficient (a decade later) to achieve high performance in multiprocessor systems. These results eventually led to fence speculation in modern microprocessors. His latest work on workload-optimized server processors laid the foundation for the first generation of Cavium ARM server CPUs, ThunderX. He is a recipient of an NSF CAREER award, IBM Faculty Partnership Awards, and an Alfred P. Sloan Research Fellowship. He is a fellow of IEEE and ACM.

Andreas Peter Burg

Andreas Burg was born in Munich, Germany, in 1975. He received his Dipl.-Ing. degree in 2000 from the Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland. He then joined the Integrated Systems Laboratory of ETH Zurich, from where he graduated with the Dr. sc. techn. degree in 2006. In 1998, he worked at Siemens Semiconductors, San Jose, CA. During his doctoral studies, he was an intern with Bell Labs Wireless Research for a total of one year. From 2006 to 2007, he held positions as postdoctoral researcher at the Integrated Systems Laboratory and at the Communication Theory Group of the ETH Zurich. In 2007 he co-founded Celestrius, an ETH-spinoff in the field of MIMO wireless communication, where he was responsible for the ASIC development as Director for VLSI. In January 2009, he joined ETH Zurich as SNF Assistant Professor and as head of the Signal Processing Circuits and Systems group at the Integrated Systems Laboratory. In January 2011, he became a Tenure Track Assistant Professor at the Ecole Polytechnique Federale de Lausanne (EPFL) where he is leading the Telecommunications Circuits Laboratory in the School of Engineering. In June 2018 he was promoted to the role of a Tenured Associate Professor. In 2000, Mr. Burg received the Willi Studer Award and the ETH Medal for his diploma and his diploma thesis, respectively. Mr. Burg was also awarded an ETH Medal for his Ph.D. dissertation in 2006. In 2008, he received a 4-years grant from the Swiss National Science Foundation (SNF) for an SNF Assistant Professorship. In his professional career, Mr. Burg was involved in the development of more than 25 ASICs. He is a member of the IEEE and of the European Association for Signal Processing (EURASIP). Research interests and expertise

Circuits and systems for telecommunications (wireless and wired)
Prototyping and silicon implementation of new communication technologies
Development of communication algorithms and optimization for hardware implementation
Low-power VLSI signal processing for communications and other applications
Digital integrated circuits
Circuits for image and video processing

Anastasia Ailamaki

Pascal Frossard

Ali H. Sayed

Ali H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019. Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems. His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.

Rachid Guerraoui

Rachid Guerraoui has been affiliated with Ecole des Mines of Paris, the Commissariat à l'Energie Atomique of Saclay, Hewlett Packard Laboratories and the Massachusetts Institute of Technology. He has worked in a variety of aspects of distributed computing, including distributed algorithms and distributed programming languages. He is most well known for his work on (e-)Transactions, epidemic information dissemination and indulgent algorithms. He co-authored a book on Transactional Systems (Hermes) and a book on reliable distributed programming (Springer). He was appointed program chair of ECOOP 1999, ACM Middleware 2001, IEEE SRDS 2002, DISC 2004 and ACM PODC 2010. His publications are available at http://lpdwww.epfl.ch/rachid/papers/generalPublis.html

Daniel Favrat

Daniel Favrat got his Master degree in Mechanical Engineering from EPFL in 1972 and his PhD also from EPFL. He then spent 12 years in industrial research laboratories in Canada (Esso Canada) and Switzerland (CERAC: Centre Européen de Recherche Atlas Copco). From 1988 to 2013, he was full professor and director of the Industrial Energy Systems Laboratory (LENI) at EPFL. During that period he was successively director of the Institute of Energy and director of the Institute of Mechanical Engineering. From August 2013 he works at EPFL Energy Center first as director ad interim and now as director technologies. His research fields include systemic analyses accounting for energy, environment and economics (so-called environomic optimisation) and advanced conversion systems for a more rational use of energy (heat pumps &ORC, engines, fuel cells, power plants, etc). He is a member of the Swiss Academy of Engineering Sciences and of the National Academy of Technology in France. He has also an active participation in the World Federation of Engineering Organizations (WFEO) as a member of the executive committee and vice-chair of the energy committee. He is associate editor of the journal "Energy" and of International Journal of thermodynamics. He is the author of several books on thermodynamics and energy systems analysis. He is also affiliate professor at the Royal Institute of Technology (KTH) in Stockholm.

Michael Lehning