National Tsing Hua University

HMI Lab

Human-Centered Machine Intelligence Lab

We study human intelligence and develop trustworthy AI systems for healthcare, neuroscience, and human-centered computing.

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Digital Health

AI systems for clinically meaningful healthcare applications.

AI for Medicine

Trustworthy learning from medical images, signals, and records.

Human-Machine Interaction

Human-centered interfaces guided by cognition and neural feedback.

HMI Lab group photo
About

Human-Centered Machine Intelligence Lab

The Human-Centered Machine Intelligence Lab was established on July 1, 2020 in the Department of Computer Science at National Tsing Hua University, Taiwan.

Our research spans neuroimaging, computational neuroscience, medical AI, and human-centered intelligent systems. We study how the human brain encodes information and how machine intelligence can be designed to better support people.

We aim to develop trustworthy, explainable, and practical AI technologies that augment human capability rather than replace it.

Research

Our Research Areas

We combine human-centered design, machine learning, and neuroscience to build reliable and impactful intelligent systems.

Fairness-aware, explainable deep learning for melanoma classification across patient groups

Medical AI

Trustworthy Medical AI

We develop fair, robust, and explainable medical AI, uncovering hidden shortcuts and overconfident failures, and closing performance gaps across patient groups with diffusion-synthesized data and self-supervised learning.

Brain encoding and decoding

Neuroscience

Brain Encoding and Decoding

We investigate how the brain encodes information and decode neural activity from EEG, MEG, and fMRI, including brain-computer interfaces for imagery and speech.

A wheelchair user at a computer whose webcam detects subtle facial expressions

HCI

Human-Machine Interaction

We design adaptive interfaces guided by neural and physiological feedback, from expression-aware assistive systems and scent experiences to AI co-design tools for architecture and interiors.

Computational neuroscience

Comp. Neuro

Computational Neuroscience

We develop statistical and computational approaches for brain modeling, representation analysis, and neurobiologically informed machine learning, including aligning deep networks with brain activity to reveal their biases.

Ultrasound images of malignant and benign pleural effusion with model heatmaps

Computer Vision

Medical Computer Vision

We apply vision transformers, segmentation networks, and medical foundation models to chest X-ray, CT, ultrasound, and echocardiography, with multicenter validation and methods for long-tailed and few-shot learning.

Network combining 3D chest CT with age, sex, and clinical test results

Clinical Informatics

Multimodal Learning for Health

We fuse medical images, clinical records, and public health data, from predicting cardiac arrest in the ICU and distinguishing heart failure subtypes to linking satellite imagery with population health.

Two-stage multi-agent workflow integrating urodynamic, MRI, and neurophysiology data for clinicians

Decision Support

Clinical Agents

We design reinforcement-learning doctor agents for ICU ventilator management and multi-agent workflows that help clinicians make sense of multimodal patient data.

Timed Up and Go walking test and Cookie Theft picture description task

Digital Health

Speech & Behavior Analysis

We detect early dementia with transformer-based speech and language models, video behavior analysis, and eye tracking, across languages including Mandarin.

Album

Lab Moments

A year-by-year archive of lab milestones, conferences, graduations, and gatherings.

People

Our Team

Principal Investigator
Collaborators

Research Partners

Taichung Veterans General Hospital logo

Taichung Veterans General Hospital Taiwan

Healthcare Innovation and Translational Informatics Lab, Emory University logo

HITI Lab Emory University, USA

Laboratory for Computational Physiology, MIT logo

Laboratory for Computational Physiology MIT, USA

Functional Neuroimaging Lab, Academia Sinica logo

Functional Neuroimaging Lab Academia Sinica, Taiwan

Research Centre Jülich logo

Research Centre Jülich Germany

Brain Mapping Lab, NYMU logo

Brain Mapping Lab NYMU, Taiwan

Taipei Medical University logo

Taipei Medical University Taiwan

Institute of Statistical Mathematics, Japan logo

Institute of Statistical Mathematics Japan

UCSD Swartz Center for Computational Neuroscience logo

Swartz Center for Computational Neuroscience UCSD, USA

Institute for Information Industry, Taiwan logo

Institute for Information Industry Taiwan

NTU Hospital Hsinchu Branch logo

NTU Hospital Hsinchu Branch Taiwan

News

Latest News

Highlights from our lab, including awards, publications, recognitions, and research updates.

June 20, 2024
Professor Promotion

We are delighted to share that Professor Po-Chih Kuo has been promoted from Assistant Professor to Associate Professor.

February 25, 2024
Outstanding Student Paper Award

Chao-Jo Chen received the Outstanding Student Paper Award at the Annual Symposium of the Taiwanese Society of Biomedical Engineering Project Report organized by the National Science and Technology Council, Taiwan.

February 25, 2024
EECS Project Competition Silver Medal

Chien-Hui Su received a silver medal in the EECS project competition for the project “Human-Machine Co-Creation: Generating Imaginative Paintings from EEG Brain Activity.”

View announcement
September 16, 2022
Research Featured in NTHU News

Our team’s research on AI and race recognition was featured in NTHU News.

Read more
September 15, 2022
Student Research Project Award

王瑞恩榮獲科技部 110 年度大專學生研究計畫創作獎。

September 15, 2022
Singapore Healthcare AI Datathon 2021

Kuan-Ting Kuo, Ryan Wang, and Li-Ching Chen won Second Runner-up in the Singapore Healthcare AI Datathon 2021.

View results
July 7, 2021
Paper Accepted at ICHMS 2021

Our paper “A brain-sensing fragrance diffuser for mental state regulation using electroencephalography” was accepted for presentation at IEEE International Conference on Human-Machine Systems 2021.

July 4, 2021
MOST Undergraduate Project

Ryan Wang and Li-Ching Chen received the 2021 MOST Undergraduate Project award.

November 10, 2020
TSECC Datathon Second Place

Chien-Hung’s team won second place in the TSECC Datathon.

November 10, 2020
TSECC Datathon First Place

Li-Ching’s team won first place in the TSECC Datathon.

October 17, 2020
Honorable Mention at EDUTHON 2020

“Learning Style Classifying Cap” presented by Li-Ming won Honorable Mention at EDUTHON 2020.

  • ABOUT THE LAB

  • Human-Centered Machine Intelligence Lab

    Department of Computer Science

    National Tsing Hua University

  • CONTACT

  • Delta Building, Department of EECS, No. 101, Sec. 2, Kuang-Fu Road, Hsinchu City 30013, Taiwan

    kuopc@mit.edu

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