CHAIS Summer School

Special Notice: Gala Dinner Coupon for First 30 Summer School Participants

The first 30 students registered for the CHAIS Summer School will receive a complimentary gala dinner coupon.

CHAIS Summer School 2026


Registration

Registration for the CHAIS Summer School is now open. Participation is free of charge for all eligible students.

Register Here →

Who can register?

  • IEEE Student Members — Register using your IEEE membership for verification.
  • Non-IEEE Students — Register using your Student ID for verification.

What is included?

  • Certificate of Attendance
  • Gala dinner coupon for the first 30 registered students

Participation fee: Free of charge for all eligible students.

Registration deadline: 29 June 2026

For enquiries, please contact us at [email protected].


About

The Collaborative Human-AI Symbiosis (CHAIS) Summer School is a one-day programme held in conjunction with the IEEE International Conference on Human-Machine Systems (ICHMS 2026).

The summer school is designed primarily for students interested in human-AI teaming and collaboration, human-machine systems, and related interdisciplinary fields. As artificial intelligence systems become increasingly integrated into complex operational environments, effective collaboration between humans and AI systems has become a critical research and engineering challenge.

Through a series of expert lectures and interactive discussions, the programme will explore how human-centered design, intelligent decision support, and collaborative autonomy can improve the performance, reliability, and trustworthiness of human-AI systems.

Participation is open to IEEE Student Members and Non-IEEE Students. The summer school provides students with an opportunity to engage with experts, exchange ideas, and contribute their perspectives on emerging challenges and possible research directions in human-AI collaboration.


Summer School Details

📅
Date
2 July 2026
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Programme
Detailed programme will be announced closer to the event
📍
Venue
Nanyang Technological University (NTU), Singapore
⏱️
Format
In-person, hosted alongside ICHMS 2026

Topics

The summer school will cover a range of topics related to human-AI collaboration:

Human-AI Teaming AI Bias and Trust AI System Design Data Fusion Human-Robot Interaction Decision Support Systems Emerging Challenges

These topics reflect the growing need for interdisciplinary approaches that combine artificial intelligence, human factors, cognitive systems, and human-machine interaction.


Programme Schedule

☀  MORNING SESSION 10:15 – 13:15
Prof. Ferat Sahin
10:15 – 11:00
Prof. Ferat Sahin
Rochester Institute of Technology  ·  United States
Human Robot Collaboration (Industrial Manufacturing and Edge AI)
Prof. Yan Wan
11:00 – 11:45
Prof. Yan Wan
University of Texas Arlington  ·  United States
Large-scale Dynamical Networks, Cyber-Physical Systems, Urban Aerial Mobility
Prof. Hui Yu
11:45 – 12:30
Prof. Hui Yu
University of Glasgow  ·  United Kingdom
Symbiotic Intelligence: Bridging Digital, Physical, and Social Systems for a Resilient Future
Ms. Liisa Janssens
12:30 – 13:15
Ms. Liisa Janssens
TU Delft  ·  Netherlands
What is justified trust in Human-Machine teaming?
Lunch Break  ·  13:15 – 14:00
☁  AFTERNOON SESSION 14:00 – 17:30
Prof. Moayad Aloqaily
14:00 – 14:45
Prof. Moayad Aloqaily
UAE University  ·  U.A.E.
From Digital Intelligence to Physical AI: Designing Trustworthy Human-Machine Systems
Dr. Yan Wu
14:45 – 15:30
Dr. Yan Wu
Institute for Infocomm Research (A*STAR)  ·  Singapore
Mind the Gap: between the Mind and the World
Prof. Ming Hou
15:30 – 16:15
Prof. Ming Hou
University of Toronto  ·  Canada
R4 Trustworthy AI
Short Break  ·  16:15 – 16:30
Prof. Henry Leung
16:30 – 17:30
Prof. Henry Leung
University of Calgary  ·  Canada
Data Fusion and Trustworthy Human-Autonomy Teaming

 

CHAIS 2026 ORGANIZING COMMITTEE

Prof. Ming Hou
University of Toronto  ·  Canada

Prof. Moayad Aloqaily
UAE University  ·  U.A.E.

Prof. Yan Wan
University of Texas Arlington  ·  United States

Programme

The summer school programme will consist of expert lectures and interactive discussion sessions with participants.

The sessions will provide opportunities for participants to engage with leading researchers in the field and discuss current challenges, emerging research directions, and real-world applications of human-AI collaborative systems.

A detailed programme schedule will be announced closer to the event.