Time

Program

Speaker

Q&A

09:30 ~ 10:20

Reinforcement Learning and Stochastic Optimization: A unified framework for sequential decisions Part 1

Prof. Warren Powell, Princeton University, USA

10:20 ~ 11:00

New Challenges to Face Recognition: Low-Resolution Face Recognition and Periocular Recognition

Dr. Cheng-Yaw Low, Yonsei University, Korea

11:00 ~ 11:40

AI for Information-Centric Networks as a Future Network Technology

Prof. Byung Seo Kim, Hongik University, Korea

11:40 ~ 12:20

Deep Review of Model Compression in Knowledge Distillation Side

Prof. Byung Chul Ko, Keimyung University, Korea

12:20 ~ 14:00

Lunch break

14:00 ~ 14:40

Biometric Cryptosystem: Progress and Challenge

Prof. Andrew Beng-Jin Teoh, Yonsei University, Korea

14:40 ~ 15:20

Maritime, Underwater IoT and AI-based First-order logic TUM-IoT Digtital Twin
* TUM-IoT : Terristrial, Underwater, Maritime - IoT

Prof. Soohyun Park, Kookmin University, Korea

15:20

End

Time

Program

Speaker

Q&A

09:30 ~ 10:20

Reinforcement Learning and Stochastic Optimization: A unified framework for sequential decisions Part 2

Prof. Warren Powell, Princeton University, USA

10:20 ~ 11:00

Overview of Model Compression and Quantization in Deep Learning

Dr. Jin-Chuan See, Universiti Tunku Abdul Rahman, Malaysia

11:00 ~ 11:40

Edge Federated Learning: Recent Advances and Open Research Problems

Dr. Rehmat Ullah, Queen's University, UK

11:40 ~ 12:20

Hardware Acceleration and Optimization of Deep Neural Networks

Prof. William Song, Yonsei University, Korea

12:20

End