RACHARAK, Teeradaj Senior Lecturer
Information Science, Computing Science
◆Degrees
Ph.D. (Engineering and Technology), Thammasat University
Ph.D. (Information Science), Japan Advanced Institute of Science and Technology
M. Eng. (Computer Science) with specialization on Software Engineering, Asian Institute of Technology
B. Eng. (Software and Knowledge Engineering) with First Class Honours, Kasetsart University
◆Professional Experience
2022 - : Japan Advanced Institute of Science and Technology , School of Information Science , Senior Lecturer (Junior Associate Professor)
2022 - : Asian Institute of Technology , Information and Communication Technologies , Adjunct Faculty
2019 - 2022 : Japan Advanced Institute of Science and Technology , School of Information Science , Assistant Professor
2018 - 2018 : Lecturer (Artificial Intelligence), Thai Programmer Association, Thailand
2018 - 2018 : Scrum Master Consultant (Part-time), Software Park Code Camp, Thailand
2012 - 2014 : Software Development Engineer at Octosoft Co. Ltd., Thailand
2012 - 2012 : Intern, National Institute of Informatics, Japan
2010 - 2010 : Researcher, Institute for Information Technology Innovation, Kasetsart University, Thailand
◆Specialties
Intelligent informatics
◆Research Keywords
Artificial Intelligence, Neuro-Symbolic AI, Explainable AI, Description Logic, Argumentation, Machine Learning
◆Research Interests
Argumentation
Argumentation is a form of non-monotonic reasoning which could be viewed as a dispute resolution of participants' arguments subject to certain propositions. A theoretical study of argumentation is about mechanisms for constructing arguments and the attack relation between them; argumentation semantics for deciding which arguments should be accepted or rejected; or proof procedures for computing the acceptability of arguments w.r.t. different semantics.
Argument Mining
Argument mining (a.k.a. argumentation mining) is an emerging area in computational linguistics. It involves automatic identification of argumentative structures in free text, such as the conclusions, premises, and inference schemes of arguments as well as their interrelations and counter-considerations. It requires interdisciplinary approaches, namely natural language processing techniques, knowledge of discourse in application domains, and argumentation theory.
Description Logic
Description logic is a family of knowledge representation languages. Most of description logic dialects are more expressive than propositional logic but less expressive than first-order logic. They are often used to describe and reason about the relevant concepts of an application domain (i.e. terminological knowledge) and are of importance in providing a logical formalism for ontologies and the Semantic Web.

■Publications

◆Published Papers
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations
Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Minh Le Nguyen
IEEE Access, 1-1, 2024
BERT Fine-tuning the Covid-19 Open Research Dataset for Named Entity Recognition
Shin Than, Teeradaj Racharak, Frederic Andres
In Proceedings of the 1st International Conference of Data Science and Artificial Intelligence (DSAI), -, 2023
Parametric Loss based Super-Resolution for Scene Text Recognition
Supatta Viriyavisuthisakul, Parinya Sanguansa, Teeradaj Racharak, Minh Le Nguyen, Natsuda Kaothanthong, Choochart Haruechaiyasak, Toshihiko Yamasaki
In the Women in Computer Vision Workshop in conjunction with ICCV 2023, -, 2023
Deep Multimodal-Based Number Finger Spelling Recognizer for Thai Sign Language
Wuttichai Vijitkunsawa, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of the International Symposium on Communications and Information Technologies (ISCIT), -, 2023
Gender Bias Analysis in Commonsense Knowledge Graph Embeddings
Khine Myat Thwe, Teeradaj Racharak, Minh Le Nguyen
In Proceedings of the 15th IEEE International Conference on Knowledge and Systems Engineering (KSE), -, 2023

■Contributions to  Society

◆Academic Society Affiliations
Association for the Advancement of Artificial Intelligence, Institute for Systems and Technologies of Information, Control and Communication
◆Social Contribution
・ Reviewer, Applied Artificial Intelligence, Taylor & Francis 2020
・ Session Chair (Game, VR; Machine Learning), JCSSE 2021 2021 - 2021
・ Session Organizing Committee, AEIS 2021 (with KSE 2021) 2021 - 2021

■Academic  Awards

・ Google TensorFlow Faculty Award , 2021
・ Best Presentation Award in the 6th annual International Conference on Information and Communication Technology for Embedded Systems (IC-ICTES 2015) , 2015
・ Honorable Mention Winner of the National Software Contest of Thailand for the Web Contest category , 2010