isai-nlp2025
Keynote Speakers
Dr.Alisa Kongthon
King Mongkut’s University of Technology Thonburi.
Educational Background
- Ph.D. degree in Industrial and Systems Engineering from the Georgia Institute of Technology in 2004.
- M.S. degree in Industrial and Systems Engineering from the University of Southern California in 1998.
- B.S. degree in Electrical Engineering from the University of Rochester in 1996.
Since graduation, she has joined the National Electronics and Computer Technology Center (NECTEC), Thailand, as a full-time researcher. Her research interests include applying natural language processing, information retrieval, and text mining to support R&D management. Such applications include technology trend, technology foresight, Technology roadmap, competitive analysis, expert finders, among others.
Currently, she is a chairperson of Digital Business Management program and a full-time lecturer at Graduate School of Management and Innovation, King Mongkut’s University of Technology Thonburi.
Dr.Maomi Ueno
Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo, Japan
Educational Background
Ph.D. in Computer Science, Tokyo Institute of Technology, 1994
M.S. in Education, Kobe University, 1992
B.S. in Education, Kobe University, 1989
He was an assistant professor of Graduated school of System Science in Tokyo Institute of Technology from 1994 to 1996. He is now a professor of Graduate School of Informatics and Engineering in The University of Electro-Communications.
His research interests span a range of areas including data science, Bayesian statistics, and algorithm development, resulting in over 150 publications in international journals and conferences.
He has been active in both local and international academic societies, which include program committees of AAAI, IJCAI, PGM, AISTAT, AIED, and EDM. He has also served as Local Steering Committee Chair in ICALT2007 and AIED2023.
He received Best Paper award from The 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), Outstanding paper awards from e-Learn2004, e-Learn2005, e-Learn2007, and ED-MEDIA2008.
