报 告 人：David Atienza教授
单 位：瑞士洛桑联邦理工学院 (瑞士）
会 议 地 点：活动中心330
报告时间：2025年4月10-11日
邀 请 人：王忠杰教授 08:30-11:30, 13:30-16:30
Day 1: Internet of Things (IoT) , Ubiquitous Computing and Edge-to-Cloud Collaborative Software Systems Design
Abstract: Introduction to IoT and System-Level Architectures: IoT trends, edge AI, concepts, etc.
Edge Architectures design methodologies and case studies: Wearables (Shimmer, Apple Watch, X-HEEP) and Industry 4.0 (AWS Zero Touch Kit, TI Sensor Tag, Open-HW platforms, etc.)
IoT Cloud platforms and complex-edge-end collaborative software systems: Cloud computing and overview of commercial examples of connecting IoT nodes to the Cloud for edge-to-cloud solutions. Case studies of final products in consumer products, water monitoring, etc. with AWS IoT, Microsoft Azure and Google Cloud IoT
Day 2: AI to IoT Systems and Applications
Abstract: AI, Machine Learning (ML) fundamentals and flaws in uses and validation of ML
Deep Learning (DL), multimodal large models and applications: Natural Language Processing (NLP), Computer Vision (CV) in mobile systems and robots, etc.
Design of AI ensembles and federated learning based IoT systems and applications: healthcare, industrial automation, etc.
Bio: David Atienza is a professor of Electrical and Computer Engineering, heads the Embedded Systems Laboratory (ESL) and is the Associate Vice President of Research Centers and Plaforms for the period 2024-2028 at EPFL, Switzerland. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) targeting low-power Cyber-Physical Systems (CPS) and energy-efficient computing servers. His latest works include new 2.5D/3D power/thermal-aware design and architectures for MPSoCs targeting edge AI systems, as well as HW/SW co-design and AI-based multi-level optimization for sustainable computing in the Internet of Things (IoT) context.
Prof. David Atienza has co-authored over 450 papers, one book, and 14 patents in these previous areas. He has also received multiple recognitions and awards, among them the IEEE/ACM HW/SW Co-Design Conference (CODES-ISSS) 2024 Test-of-Time Award for the most influential paper in the last 15 years, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, the Design Automation Conference (DAC) Under-40 Innovators Award in 2018, and IEEE CEDA and ACM SIGDA Early Career Awards on EDA tools and systems research. He is a Fellow of IEEE, Fellow of ACM, and was the Chair of the European Design Automation Association (EDAA) since 2022 until 2024. He is currently the Editor-in-Chief of IEEE Trans. on CAD (T-CAD) and ACM Computing Surveys.
