MLPR 2025
Kyoto, Japan | July 25 to 27, 2025

 

The 3rd International Conference on Machine Learning and Pattern Recognition (MLPR 2025) was successfully held from July 25–27 at Ritsumeikan University, Kyoto, Japan.

The event featured 4 thought-provoking keynote speeches, 11 invited talks, and 16 technical sessions—bringing together leading researchers and practitioners from across the globe. Discussions ranged from interpretable AI and generative models to smart systems, human-AI collaboration, and real-world applications in healthcare, education, and industry.

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the International Conference Proceedings Series by ACM, which will be submitted for indexing by Ei Compendex, Scopus, etc.
 


Group Photo

 

Keynote Speakers

Prof. Guoping Qiu
The University of Nottingham, UK & The University of Nottingham Ningbo, China

Prof. Xianhua Han
Rikkyo University, Japan

 

Prof. Ryuji Kohno (IEEE Life/IEICE Fellow)
Yokohama National University, Japan

Prof. Zhi-Hua Zhou (IEEE/ACM/AAAI/AAAS Fellow, Member of the Academia Europaea)
Nanjing University, China

Invited Speakers

Asst. Prof. Sook Shin
Virginia Tech, USA

Assoc. Prof. Weibin Wang
South China Normal University, China

Prof. Abril Uriarte Arcia
CIDETEC - IPN, Mexico

Assoc. Prof. Nopparat Pochai
King Mongkut's Institute of Technology Ladkrabang, Thailand

Prof. Antonio Alarcón Paredes
National Polytechnic Institute, Mexico

Dr. Rahul Kumar Jain
Tiwaki Co., Ltd. Japan

Assoc. Prof. Kezhi Mao
Nanyang Technological University, Singapore

Assoc. Prof. Jiaxin Cai
Xiamen University of Technology, China

Asst. Prof. Isaac Kofi Nti
University of Cincinnati, USA

Dr. Vishnu S. Pendyala
San Jose State University, USA

 

Prof. Chinthaka Premachandra
Shibaura Institute of Technology, Japan

 

Author Presentations Sessions

 

The Best Presentations have been selected and evaluated from six aspects evaluated from 6 aspects: Applicability, Originality, Significance, Visual Aids, English Delivery, Timeliness. MLMI 2025 Best Presentations are:

▪ Online Session 1: M0129-Jiahui Chen, Hangzhou Normal University, China
▪ Online Session 2: M0125-Chaeeun Kim,University of California, USA
▪ Online Session 3: M1015-Takuma Terada, Ritsumeikan University, Japan
▪ Online Session 4: M0045-Rathnay K.P.S.K., Sri Lanka Institute of Information Technology, Sri Lanka