Program

Speakers

Philippe Lalanda, University Grenoble-Alpes

Keynote: "Automating AIoT in Industry 4.0"

Philippe Lalanda is a Professor at University Grenoble-Alpes (UGA) where he teaches Software Engineering and Pervasive Computing. He completed his PhD in Artificial Intelligence at Nancy University and worked in the KSL Laboratory in Stanford University in the same field. He then worked for ten years in the industry (Dassault Aviation, Thales, Schneider Electric) where he has held the positions of software architect and RD project leader. Philippe Lalanda now conducts research in the fields of autonomic computing and machine learning, mostly applied to IoT. He has authored some 100 papers in international journals and conferences and supervised more than 20 PhD thesis. He received an IBM Faculty Award in 2015.

Swarnava Dey, Tata Consultancy Services Research

Keynote: "AutoML for TinyML"

Swarnava Dey is a Senior Scientist at TCS Research working on embedded vision systems. In TCS Research he guides the AutoML research group. He is an M.Tech from IIT, Kharagpur, and currently pursuing PhD there in Artificial Intelligence. He has 40+ granted patents, 35+ research papers in top venues such as Transactions of Embedded Systems, CVPR, IJCNN, Sensys workshops, PerCom Industry track etc. He has several book chapters co-authored and is a well-known author. He is also an avid coder, winning second place in IEEE Bigdata Hackathon in 2018 and IJCNN AI competition 2023. His publication details can be found at his Google Scholar page: http://tinyurl.com/yxz4nx72

Schedule

8.30 AM: Welcome to AutoMLPerSys 

Session 1: Optimizing and Automating

8.40 AM: Keynote: 'Automating AIoT in Industry 4.0', Philippe Lalanda, University Grenoble-Alpes

9.10 AM: Technical Talk 1: 'Enhancing Efficiency in HAR Models: NAS Meets Pruning', Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel and Tobias Röddiger (Karlsruhe Institute of Technology, Germany); Michael Beigl (KIT & TECO, Germany)

9.35 AM: Technical Talk 2: 'Automating the production of ML models for imbalanced datasets - application to Industry 4.0', Dimitri Fomin, (UGA, France); Philippe Lalanda (Grenoble University, France); Denis Morand (Schneider Electric, France)

Session 2: Thinking Tiny

10.30 AM: Keynote: 'AutoML for TinyML', Swarnava Dey (TCS Research)

11.00 AM: Technical Talk 3: 'Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm', Yiran Huang, Yexu Zhou, Till Riedel and Haibin Zhao (Karlsruhe Institute of Technology, Germany); Michael Beigl (KIT & TECO, Germany)

11.25 AM: Technical Talk 4: 'TinyStressNet: On-device Stress Assessment with Wearable Sensors on Edge Devices', Dibyanshu Jaiswal, Shalini Mukhopadhyay and Varsha Sharma (TCS Research, India)

11.50 AM: Closing remarks