Program

  • Keynote Speeches/Invited Talks: Each speaker will have 25 minutes talk and 5 minutes discussion. After 30 minutes, the talk will shift to the next speaker.
  • Oral Presentation: Each speaker will have 8 minutes talk and 2 minutes discussion. After 10 minutes, the oral talk will shift to the next speaker. Oral template.
  • Spotlight Presentation: Each speaker will be allocated a total of 5 minutes for their spotlight talk. After 5 minutes, the spotlight talk will shift to the next speaker. Spotlight template.
  • Poster Presentation: Each poster should correspond to Portrait DIN A0 format. Poster template.

Tentative Program

tfprogram
August 22-24, Technical Tour at Daegu, Korea.

https://easychair.org/smart-program/ISAIR2019/

Keynote/Invited Speeches

Keynote Speech 1: Internet of Things: Applications and Security Challenges
Prof. Manu Malek (IEEE Life Fellow, Stevens Institute of Technology)

Keynote Speech 2: A Cyber-Physical Billboard IoT Network -Architecture, Operation, and Performance
Prof. Pin-Han Ho (IEEE Fellow, University of Waterloo)

Keynote Speech 3: Machine Learning and High Performance Computing
Prof. Geoffrey C. Fox (ACM/APS Fellow, Indiana University)

Keynote Speech 4: Non-rigid Image Registration Techniques and Its Application to Medical Imaging
Prof. Hyoungseop Kim (Kyushu Institute of Technology)

Keynote Speech 5: Affective Interaction through Wide-learning and Cognitive Computing
Prof. Min Chen (EAI Fellow, Huazhong University of Science and Technology)

Keynote Speech 6: Kansei Information Processing and Its Application
Prof. Kaori Yoshida (Kyushu Institute of Technology)

Invited Speech 1: 3D Mapping of Outdoor Environmentals by Scan Matching and Motion Averaging
Prof. Jihua Zhu (Xi’an Jiaotong University)

Invited Speech 2: Image-to-Image Translation: Advances and Trends
Prof. Haiyong Zheng (Ocean University of China)

Invited Speech 3: Color image processing via quaternion representation
Prof. Rushi Lan (Guilin University of Electronic Technology)

Invited Speech 4: Representation Learning for Face Image Analysis
Prof. Guangwei Gao (Nanjing University of Posts and Telecommunications)