Name: AI Future Lab: Seattle High School AI Summer Camp
Start: 2025-08-04T08:30:00-07:00
End: 2025-08-08T16:30:00-07:00
Location: WRF Studio

AI Future Lab: Seattle High School AI Summer Camp

from Monday 4 August 2025 (08:30) to Friday 8 August 2025 (16:30)

Monday 4 August 2025
09:00 Check in - Manali Sawant (University of Washington Seattle (US))
Check in
- Manali Sawant (University of Washington Seattle (US))
09:00 - 09:15
09:15 Welcome - Shih-Chieh Hsu (University of Washington Seattle (US))
Welcome
- Shih-Chieh Hsu (University of Washington Seattle (US))
09:15 - 09:30
09:30 Icebreaking
Icebreaking
09:30 - 10:00
10:00 Ion Trap Quantum Computing Lab: overview - Boris Blinov (University of Washington)
Ion Trap Quantum Computing Lab: overview
- Boris Blinov (University of Washington)
10:00 - 10:30
The "Ion Trap Quantum Computing Laboratory" is dedicated to the experimental realization of quantum computing, quantum communication, and quantum simulation using trapped ions.
10:30 Lab tour: Quantum Materials and Trap Ion
Lab tour: Quantum Materials and Trap Ion
10:30 - 11:30
Students will be split into two groups. Quantum Materials lab: Sarah Edwards Jonathan DeStefano Trap Ion Lab: Boris Blinov

11:30 Quantum Material Lab: overview
Quantum Material Lab: overview
11:30 - 12:00
[The Quantum Materials Laboratory][1] at the University of Washington aims to understand and eventually control the novel collective behaviors of many body quantum systems. PI: Prof. Jiun-Haw Chu [1]: https://depts.washington.edu/jhchulab/

12:00 Lunch
Lunch
12:00 - 13:00
13:00 Introduction
Introduction
13:00 - 16:30
Contributions

13:00 Data science and AI

14:30 Coding session
Tuesday 5 August 2025
09:00 Check-in - Abdelrahman Asem Elabd (University of Washington (US))
Check-in
- Abdelrahman Asem Elabd (University of Washington (US))
09:00 - 09:15
09:20 AR augmentation lab - Abdelrahman Asem Elabd (University of Washington (US))
AR augmentation lab
- Abdelrahman Asem Elabd (University of Washington (US))
09:20 - 12:00
"NOMR" is an augmented reality application used annually by over 1,800 students in the introductory physics lab course at the University of Washington. Students work in groups to explore interactions of fictional particles, developing experimental skills and scientific models through self-collected data. This process fosters authentic scientific understanding while avoiding confirmation bias.
12:00 Lunch
Lunch
12:00 - 13:00
13:00 Deep Learning
Deep Learning
13:00 - 17:30
Contributions

13:00 Deep learning

14:30 Coding session
Wednesday 6 August 2025
09:00 Check in - Manali Sawant
Check in
- Manali Sawant
09:00 - 09:15
09:30 Scalable Quantum Research Lab
Scalable Quantum Research Lab
09:30 - 10:30
[enter link description here][1]The Scalable Quantum Research Lab at the University of Washington works to build, understand, and control trapped ion quantum systems. We tackle all aspects of building useful quantum technologies including optical control with integrated photonics, optimization of multi-qubit gates, and fabrication of next generation trap designs. PI: Sara Mouradian Tour Lead: Koray Ethan Mentesoglu <kmente@uw.edu> [1]: https://wp.ece.uw.edu/sqrl/

10:30 Mechanical Engineering facility tour
Mechanical Engineering facility tour
10:30 - 11:30
ME machine shop, composites shop, 3D printing lab and mechanical test lab. Tour lead: Bill Kuykendall

12:00 Lunch
Lunch
12:00 - 13:00
13:00 Convolutional Neural Networks
Convolutional Neural Networks
13:00 - 16:30
Contributions

13:00 Convolutional Neural Networks (CNNs) and Image datasets

14:30 Coding session
Thursday 7 August 2025
09:00 Check in - Abdelrahman Asem Elabd (University of Washington (US))
Check in
- Abdelrahman Asem Elabd (University of Washington (US))
09:00 - 09:15
09:30 The I-LABS MEG Brain Imaging Center
The I-LABS MEG Brain Imaging Center
09:30 - 10:50
The I-LABS MEG Brain Imaging Center, established in May 2010, is the world’s first brain imaging center dedicated to children. Using advanced MEG (magnetoencephalography) technology, the center studies how neural networks work together from the perspective of the whole brain system, aiming to reveal the mechanisms behind complex human abilities such as language, social interaction, emotion, and personality.

11:00 Ubiquitous Computing Laboratory
Ubiquitous Computing Laboratory
11:00 - 12:00
[The Ubiquitous Computing Lab][1] develops innovative sensing systems for real world applications in health, sustainability, and novel interactions. Director: Prof. Shwetak Patel <shwetak@cs.washington.edu> Tour Lead: Jerry Cao <jcao22@uw.edu> Richard Li <Lichard@cs.washington.edu> [1]: https://ubicomplab.cs.washington.edu/

12:00 Lunch
Lunch
12:00 - 13:00
13:00 Reinforcement Learning
Reinforcement Learning
13:00 - 16:30
Contributions

13:00 Reinforcement Learning

14:30 Coding session
Friday 8 August 2025
09:00 Check in - Abdelrahman Asem Elabd (University of Washington (US))
Check in
- Abdelrahman Asem Elabd (University of Washington (US))
09:00 - 09:10
09:10 Wearable Intelligence Lab overview - Sen Zhang (University of Washington Seattle (US)) Charlie Han (University of Washington Seattle (US))
Wearable Intelligence Lab overview
- Sen Zhang (University of Washington Seattle (US))
- Charlie Han (University of Washington Seattle (US))
09:10 - 09:40
09:50 The Wearable Intelligence Lab
The Wearable Intelligence Lab
09:50 - 10:45
[The Wearable Intelligence Lab][1] takes interdisciplinary approaches to push the boundaries of wearable technology and AI integration for impactful applications in healthcare, robotics, and human-computer interactions. We particularly focus on the scalability, seamless integration, robustness, and adaptivity of the end-to-end integrated intelligent wearable systems. Director: Prof. Yiyue Luo Tour lead: Sen Zhang <szhang66@uw.edu> Charlie Han <chankyu@uw.edu> [1]: https://yyueluo.com/group

11:00 BioRobotics Lab
BioRobotics Lab
11:00 - 11:50
The University of Washington’s [BioRobotics][1] Lab is home to a number of students and faculty dedicated to improving the lives of people through cyberphysical systems. Our mission is to develop science, technology, and human resources at the interface between robotics, control theory and the biological sciences. Our goal is to produce useful, innovative research and technology as well as trained researchers capable of driving technological advancement in medical and biological systems. PI: Prof. Sam Burden Tour lead: Amber Chou <hachou@uw.edu> EE building 461 (4th floor) [1]: https://wp.ece.uw.edu/brl/about/faculty/

12:00 lunch
lunch
12:00 - 13:00
13:00 Natural Language Processing
Natural Language Processing
13:00 - 14:30
Contributions

13:00 Natural Language Processing and Multimodal AI
14:30

14:30 - 16:30

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