Agenda

Workshop program

Monday, 13rd May 2024 - Morning session
08:00-08:30 Breakfast
08:30-08:45 Welcome message from the organizers
08:45-09:15 Invited Talk:
Ensuring Cyber-Physical System Stability in the Presence of Deadline Misses
Prof. Martina Maggio,

Saarland University, Germany
09:15-09:45 Invited Talk:
When AI Meets Real-Time: Real-Time Scheduling Framework for Multi-DNN Inference
Prof. Hoon Sung Chwa,

Daegu Gyeongbuk Institute of Science and Technology, South Korea
09:45-10:15 Coffee Break
10:15-10:45 Session 1: Edge-based Perception
10:15-10:30 3D Point Cloud Object Detection on Edge Devices for Split Computing
Taisuke Noguchi, Takuya Azumi
10:30-10:45 Towards a Real-Time and Energy-Efficient Edge AI Camera Architecture in Mega Warehouse Environment
Yusuke Asai, Yuki Mori, Keisuke Higashiura, Kodai Yokoyama, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi
10:45-11:15 Invited Talk:
Profile, Infer, and Monitor: A Paradigm Shift for Real-Time Embedded Systems
Prof. Alessandro Biondi,

Scuola Superiore Sant’Anna and Accelerat Srl, Pisa, Italy,
11:15-11:45 Invited Talk:
Understanding and Mitigating Hardware Interference Channels on Heterogeneous Multicore
Prof. Heechul Yun,

University of Kansas, KS, USA
11:45-13:30 Lunch
Monday, 13rd May 2024 - Afternoon session
13:30-14:00 Session 2: Model-based and Virtualized Edge Computing
13:30-13:45 Energy Consumption Prediction Framework in Model-based Development for Edge Devices
Yue Hou, Takuya Azumi
13:45-14:00 Period Estimation for Linux-based Edge Computing Virtualization with Strong Temporal Isolation
Luca Abeni, Tommaso Cucinotta, Daniel Casini
14:00-14:30 Invited Talk:
Towards Zero-Trust Hardware Architectures in Safety and Security Critical System-on-Chips
Dr. Francesco Restuccia,

University of California San Diego, CA, USA
14:30-15:00 Invited Talk:
Building a Cyber-Physical Edge Cloud Continuum
Dr. Dirk Ziegenbein,

Bosch Corporate Research, Germany
15:00-15:30 Coffee Break
15:30-16:00 Session 3: Learning at the Edge
15:30-15:45 Federated Learning Platform on Embedded Many-core Processor with Flower
Masahiro Hasumi, Takuya Azumi
15:45-16:00 Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings
Georgios Tsoumplekas, Vladislav Li, Ilias Siniosoglou, Vasileios Argyriou, Sotirios Goudos, Ioannis Moscholios, Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis
16:00-16:30 Invited Talk:
5G-enabled Next Generation Internet of Things
Prof. Panagiotis Sarigiannidis,

University of Western Macedonia, Greece
16:30-17:00 Invited Talk:
Challenges on the Automotive Edge
Jörg Seitter,

Infineon Technologies, Germany
17:00-17:30 Open Discussion
17:30-17:45 Closing Remarks
18:00-20:00 Reception