ラチャラク ティーラデチ
About RACHARAK (X)
This is the website of Teeradaj Racharak. I am a Senior Lecturer (Junior Associate Professor or 講師 in Japanese) at the School of Information Science, Japan Advanced Institute of Science and Technology (JAIST) and run ReaLearn (the Reasoning & Learning for Trustworthy AI laboratory) at JAIST.
Before JAIST, I was a software and DevOps engineer, involved in the development of large-scaled web applications including MangaMagazine.net and Inkblazers. I am broadly interested in mathematical modeling and implementation of AI. I specialize in logic and machine learning, particularly in Description Logic, Computational Argumentation, and Deep Learning. I have diverse educational background and work experience in universities and software industries. My research interests (but are not limited to) span across:
Knowledge Representation and Reasoning (KRR) for Explainable AI, such as
Description Logic and Ontology
Argumentation and its applications to non-monotonic reasoning
Machine Learning (ML) and its applications, such as
Integration of KRR and ML for Robust and Explainable AI, such as
I am indebted to all the students and collaborators for our exciting projects. I always seek new collaboration, so I will be glad to hear from you.
News and Highlights
Our paper "DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation" is accepted by Frontiers in Bioengineering and Biotechnology
I have become a committee member of ISO on Artificial Intelligence
I received Dissertation Award in National Research Awards 2024 from National Research Council of Thailand
Our paper "FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting through Knowledge Distillation" is accepted by IEEE Access 2024
Our paper "A Quantitative Assessment Framework for Modelling and Evaluation using Representation Learning in Smart Agriculture Ontology" is accepted by ICAART 2024
I am recognized as an IEEE CertifAIEd Authorized Assessor
Our paper "BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition" is accepted by DSAI 2023
Contact
Japan Advanced Institute of Science and Technology
School of Information Science (Building 1, 7F)
Nomi city, Ishikawa Prefecture, Japan
Room: I-71 (Clink to see an access map)
Office Phone: (+81) 0761-51-1222
Email: racharak@jaist.ac.jp (work), r.teeradaj@gmail.com (personal)