Machines that perceive, reason and learn like us.
Innovative Cognitive Computing (IC2) brings together researchers in cognitive computing, artificial intelligence, computational intelligence, neuroinformatics and psychology, with applications from healthcare diagnostics to industry and the humanities.
What we study
From medical imaging to web intelligence, our work turns cognitive science and AI into systems that people can use.
All research areas-
233 publications
Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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91 publications
Serious Game
Games designed for a purpose beyond entertainment, such as assessment, rehabilitation, training and learning.
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390 publications
Integrative, Rapid, Data Analysis
Methods that bring together data from many sources and turn it into timely, usable insight.
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85 publications
Smart Farming
Sensing, imaging and machine learning that help growers monitor crops and make better decisions.
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153 publications
Location Awareness/Cognition
Systems that sense where people and things are, and reason about what that means in context.
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1154 publications
Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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116 publications
Autonomous System Development
Software and robotic systems that perceive their surroundings and act with limited human intervention.
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162 publications
Cognitive Systems in Education Sector
Cognitive systems that understand learners and adapt teaching, feedback and assessment to them.
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466 publications
Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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387 publications
Emotion Recognition and Brain Informatics
Recognizing emotion and modelling brain and behavioral signals to understand human states.
Publications
Papers by IC2 members and collaborators, updated automatically from their Google Scholar profiles.
- A survey on deep semi-supervised learning
- Creation and evaluation of a pretertiary artificial intelligence (AI) curriculum
- Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India
- When Gaussian process meets big data: A review of scalable GPs
- Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding
- Pymoo: Multi-objective optimization in python
News
Announcements, events and updates from the lab.
All news-
AMCH 2027: Proposed Workshop at The Web Conference 2027 in Dublin
IC2 has proposed AMCH 2027, the second workshop on aging well with Web and AI technologies for mental and cognitive health, to The Web Conference 2027 in Dublin. It is dedicated to the memory of Professor Mark Chignell.
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🚀 Now Hiring: Summer Research Interns (AI & Cognitive Computing)
The Innovative Cognitive Computing (IC2) Research Center at King Mongkut’s University of Technology Thonburi (KMUTT) is pleased to announce openings for its Summer Research Internship Program.
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In Memoriam: Professor Mark Chignell
IC2 joins the global academic and research community in mourning the loss of Professor Mark Chignell, a distinguished colleague and visionary leader in human factors and industrial engineering.
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IC2 is Now on LinkedIn — Join Us on Our New Professional Channel
We’re delighted to announce that IC2 – Innovative Cognitive Computing at the School of Information Technology, King Mongkut’s University of Technology Thonburi (KMUTT) is now on LinkedIn!
People
Faculty, researchers and students from KMUTT and partner institutions around the world.
Everyone at IC2-
Dr. Jonathan H. Chan
Associate Professor, Ph.D. (Chemical Engineering)
Publications on Google Scholar
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Dr. Bunthit Watanapa
Associate Professor, D.Eng. (Industrial Engineering)
Publications on Google Scholar
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Dr. Chakarida Nukoolkit
Assistant Professor, Ph.D. (Computer Science)
Publications on Google Scholar
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Dr. Nipon Charoenkitkarn
Associate Professor, Ph.D. (Information Systems)
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Dr. Pornchai Mongkolnam
Associate Professor, Ph.D. (Computer Science)
Publications on Google Scholar
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Dr. Siam Yamsaengsung
Lecturer, Ph.D. (Information Technology)
From the blog
Longer reads on the ideas, tools and results behind our work.
All blog posts
Ultrasound Guided Regional Anesthesia using Deep Learning
Author: Dylan Mac Yves UGRA is a research project on nerve segmentation from ultrasound images using deep learning. The study utilizes public dataset of ultrasound images
A Framework for Synthetic Audio Conversations Generation using Large Language Models
In this paper, we introduce ConversaSynth, a framework designed to generate synthetic conversation audio using large language models (LLMs) with multiple persona settings. The framework first
Collaborators and affiliations
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The Centre for Applied Genomics
The Hospital for Sick Children, Toronto, Canada
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Cognitive Development and Neuroimaging Laboratory
Western University, London, Ontario, Canada
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Division of Engineering Science
Faculty of Applied Science and Engineering, University of Toronto, Canada
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School of Computing
Dublin City University, Ireland
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AI Research Group
NECTEC, Thailand
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Systems Biology and Bioinformatics
KMUTT, Bangkok, Thailand
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E-Service Research Center
School of Information Technology, KMUTT, Bangkok
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Asia Pacific Neural Network Society
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International Neural Network Society
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IEEE Computational Intelligence Society
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IEEE Systems, Man, and Cybernetics Society
Work with us
We welcome shared research, joint funding proposals, and students and researchers who want to join or visit IC2.