Dr. David Atienza

Professor

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Biography

David Atienza Alonso is a professor in Electrical and Computer Engineering and the head of the Embedded Systems Laboratory (ESL) at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He also serves as the Associate Vice President of Research Centers and Platforms at EPFL. With a solid educational background, earning both MSc and PhD degrees in Computer Science Engineering from Universidad Complutense de Madrid (UCM) and IMEC, Belgium, in 2001 and 2005 respectively, he has built a distinguished career in the field of embedded systems and Internet-of-Things (IoT). His research primarily focuses on system-level design methodologies, high-performance multi-processor system-on-chip (MPSoC) architectures, and low-power IoT systems, exploring cutting-edge developments in edge AI computing and dynamic memory optimizations. Dr. Atienza has co-authored over 450 papers and holds 14 licensed patents, with significant contributions recognized by various awards, including the IEEE TCCPS Mid-Career Award and the Design Automation Conference Under-40 Innovators Award. He has served as Editor-in-Chief for multiple prestigious journals and is actively involved in professional societies including IEEE and ACM. His teaching includes courses on IoT systems and hardware-software co-design, shaping the next generation of engineers in embedded systems.

Research Interests

Experience

Professor

2005-01-01 — Present

École Polytechnique Fédérale de Lausanne • Lausanne, Switzerland

Professor in the Department of Electrical and Computer Engineering, Head of Embedded Systems Laboratory.

Requirements for École Polytechnique Fédérale de Lausanne

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a related field Strong foundation in Calculus, Linear Algebra, and Probability Proficiency in programming (Python, Java, or C++)
Application Checklist
  • Curriculum Vitae
  • Copy of University Degree(s)
  • Official Transcripts
  • Statement of Purpose
  • Copy of Passport or Identity Card
  • Three Letters of Recommendation
  • Proof of English Proficiency
Specialization Notes

Standard requirements for Engineering and Basic Science Master's programs. Architecture requires an additional portfolio.