Event News

Talk on "From Interpretable Decision Trees to Telehealth for Vulnerable Populations" by Prof. Chutiporn Anutariya from AIT and Dr. Teeradaj Racharak from JAIST

We are pleased to inform you about the upcoming seminar by Prof. Chutiporn Anutariya from AIT and Dr. Teeradaj Racharak from JAIST titled:"From Interpretable Decision Trees to Telehealth for Vulnerable Populations" Everyone interested is cordially invited to attend!


Interpretable Decision Tree Ensemble Learning with Abstract

Argumentation for Binary Classification


We marry two powerful ideas: decision tree ensemble for rule induction and abstract argumentation for aggregating inferences from diverse decision trees to produce better predictive performance and intrinsically interpretable than state-of-the-art ensemble models. Our approach, called Arguing Tree Ensemble, is a self-explainable model that first learns a group of decision trees from a given dataset. It then treats all decision trees as knowledgeable agents and lets them argue with each other for concluding a prediction. Unlike conventional ensemble methods, this proposal offers full transparency to the prediction process. Therefore, AI users are able to interpret and diagnose the prediction's output.

Speaker Bio:

Teeradaj Racharak received his M.Eng. in Computer Science (with specialization in Software Engineering) from Asian Institute of Technology, Ph.D. in Information Science from JAIST (majoring Description Logic), and Ph.D. in Engineering and Technology from Thammasat University (majoring Formal Argumentation). Both PhD theses won the dissertation awards from the National Research Council of Thailand in 2023 and 2024, respectively. He has joined JAIST as an Assistant Professor since April 2019 and becomes a Senior Lecturer in October 2022. His research interests span across: Knowledge Representation and Reasoning (KRR), Machine Learning (ML), and Integration of KRR and ML for Trustworthy AI, as well as AI applications for social good.

Prof. Chutiporn ANUTARIYA (AIT, Thailand)


A Telemonitoring and Tele-rehabilitation Platform for Disable

Elderly, and Post-stroke Care:An AI and Human-Machine Technology-Enhanced Approach


This talk presents the significant role of AI and human-machine technology in enhancing care for disabled, elderly, and post-stroke patients. Our research addresses the unique challenges faced by these vulnerable populations by providing continuous monitoring, personalized rehabilitation programs, and recommended care. The presentation will cover two key research projects conducted by the ICT Department at AIT. The first project focuses on a critical issue faced by disabled and elderly individuals in Thailand and many developing countries, the increased risk of falls when staying home alone while family members are at work. To address this, we develop a telemonitoring platform for fall detection, activity profiling, and alerts by integrating computer vision, video analytics, WiFi
technology, and deep learning. The platform can send emergency alerts to family members or caregivers when a fall is detected. Additionally, it employs analytical techniques to assess fall incidents and activity profiles, supporting healthcare professionals and caretakers in preventing future falls and recommending safe, quality lifestyles and suitable physical exercise programs. The second part of the talk will focus on stroke rehabilitation, an essential aspect of recovery after a stroke. We will discuss our researchon a telerehabilitation platform for post-stroke patients, featuring Bimanual Rehabilitation Robotic Arms. These robotic devices assist impaired arms in performing repetitive motions to regain strength, coordination, and function. Furthermore, the platform integrates human-machine interfaces and gamified rehabilitation programs, applicable in both clinical and home-based settings, along with remote consultations to promote patient motivation, continuous rehabilitation program implementation, and progressmonitoring.

Speaker Bio:

Chutiporn Anutariya is an Associate Professor of Computer

Science and Information Management, in the Department of Information and Communications Technologies, School of Engineering and Technology, Asian Institute of Technology, Thailand. She earned her B.Sc. degree in Statistics with first class-honors from Chulalongkorn University, Thailand, in 1996. Subsequently, she completed her M.Sc. and Ph.D. degrees in Computer Science at the Asian Institute of Technology, Thailand, in 1998 and 2001, respectively. She was a postdoctoral fellow at the Department of Telematics, Faculty of Information Technology, Mathematics and Electrical Engineering, Norwegian University of Science and Technology, Norway, from 2002 to 2003. She has edited five books and authored over 110 research articles. Her research interests include data analytics, digital learning and educational technology, intelligent information systems, knowledge representation and management, open data, knowledge graphs, and ontologies. Dr. Anutariya has received several awards, including the Gold Medal Award from Chulalongkorn University, Thailand, in 1996, the Ph.D. Dissertation Award from the National Research Council of Thailand in 2003, and the Best Research Gold Medal Award from Shinawatra University, Thailand, in 2005 and 2007.


10:00- May 27 (Monday), 2024


Room 1208, NII




If you would like to join, please contact by email.
Email :andres[at]nii.ac.jp