MLHMI 2026 information:
1. MLHMI 2026 is Co-sponsored by Meiji University, Japan and Sensors and Systems Society of Singapore (SSS).
2. Accepted and registered papers will be published in international Conference Proceedings, be submitted for indexing to Ei Compendex, Scopus. MLHMI conferences have been successfully held since 2020. And all the papers from MLHMI have been indexed in Ei Compendex, Scopus from 2020 to 2024.
3. We have invited Prof. Xudong Jiang (IEEE Fellow) from Nanyang Technological University in Singapore to be our Keynote Speaker .
Conference Venue: Meiji University Surugadai Campus
Address: 1-1 Kanda-Surugadai, Chiyoda-ku, Tokyo
Submission Methods:
ZMEETING system: https://www.zmeeting.org/submission/MLHMI2026
E-mail: mlhmi.conference@gmail.com
Call for Papers:
Machine learning methods
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of appropriate behaviour
Learning of action patterns
Learning robots
More topics: https://mlhmi.org/cfp.html
Contact Methods:
E-mail: mlhmi.conference@gmail.com
Conference Specialist: Ms. Jassica Yao
1. MLHMI 2026 is Co-sponsored by Meiji University, Japan and Sensors and Systems Society of Singapore (SSS).
2. Accepted and registered papers will be published in international Conference Proceedings, be submitted for indexing to Ei Compendex, Scopus. MLHMI conferences have been successfully held since 2020. And all the papers from MLHMI have been indexed in Ei Compendex, Scopus from 2020 to 2024.
3. We have invited Prof. Xudong Jiang (IEEE Fellow) from Nanyang Technological University in Singapore to be our Keynote Speaker .
Conference Venue: Meiji University Surugadai Campus
Address: 1-1 Kanda-Surugadai, Chiyoda-ku, Tokyo
Submission Methods:
ZMEETING system: https://www.zmeeting.org/submission/MLHMI2026
E-mail: mlhmi.conference@gmail.com
Call for Papers:
Machine learning methods
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of appropriate behaviour
Learning of action patterns
Learning robots
More topics: https://mlhmi.org/cfp.html
Contact Methods:
E-mail: mlhmi.conference@gmail.com
Conference Specialist: Ms. Jassica Yao
