Research at AIT Brain Lab

AI for
Better Humans

AI should strengthen human capabilities without diminishing our judgment, agency, or capacity to learn. We study AI deeply to support safe coexistence, cultivate human wisdom, and help humanity thrive sustainably.

Our foundation: Human-Engaged Computing

Our research builds on the 2019 position paper by Xiangshi Ren, Chaklam Silpasuwanchai, and John Cahill: people and technology should develop together to enhance human potential, wisdom, and long-term survival.

Explore our research For prospective students

A participant using an EEG-based brain–computer interface speller — From the lab Brain–computer interfaces for communication

Research directions

All research

Human behaviour and human–AI interaction

Human simulation, judgment, agency, and well-being.

Reliable, adaptive, and accountable AI agents

Grounded reasoning, memory, honesty, and meaningful evaluation.

Medical vision–language AI

Grounding questions and answers in medical images.

Physiological computing and sensing

Brain-driven communication and biomedical measurement.

Research and graduate education

Start with one useful question.

Bring your own idea or contribute to an ongoing project. We develop the question, the evidence, and your independence together.

Available projects Getting started

Sample Student Projects

Selected prototypes and demonstrations. See Available Projects for current directions and Publications for research papers.

Detecting Human Liveness

Detecting human liveness using light-weight deep learning models

Driver's Ability to Drive

Monitoring driver's ability to drive using AI

AI Interviewer

Use AI to help screen out applications quickly.

Scholarly

Use AI to help write research papers.

Thai Gov. Paraphraser

Paraphrase informal text into government style text

BCI Speller

Allows locked-in patients to communicate using BCI speller.

Counting passenger

Use AI to count passenger in/out to help travel business.

Automatic IELTS scorer

An automatic IELTS writing scorer on different aspects of the writing.

Motor Imagery

Motor Imagery application for control

Conversation Recommendation System

Recommending sales item through chats

AI Report Generation

Using AI to generate reports

AI-augmented medical diagnosis and segmentation

Using AI to help radiologists diagnose and make reports

Sign Language

Real-time Sign Language

Actor-Critic for Disaster

Using reinforcement learning for disaster prediction

Longtitudinal Medical VQA

AI for longitudinal medical question answering

Flashbulb Memory

Using memory to improve medical health chatbot

Vocal cues

Understand how vocal cues affect medical health chatbot performance

AI Stroke ASPECTS Scoring

Uses computer vision to rapidly calculate ASPECTS scores from brain scans and support fast-track stroke detection.

Optical Character Recognition

Extracts and digitizes text from images and documents using optical character recognition.

Camera-Based Emotion Recognition

Recognizes human emotions from facial expressions captured through a camera in real time.

LLM-Powered Interviewer

Uses a large language model to conduct adaptive, natural interviews across a wide range of topics.

Passive Liveness Detection

Verifies that a user is physically present without requiring gestures or other active challenges.

AI Avatar Generation

Generates expressive digital avatars with AI for engaging and personalized virtual interactions.

Active Liveness Detection

Confirms a live user's presence through prompted actions that help prevent spoofing attacks.

Contact

Come and visit us!

Location:

58 Moo 9 Phahonyothin Road, Tambon Khlong Nung, Amphoe Khlong Luang

Email:

chaklam@ait.asia

Call:

081-894-5656