I am a Ph.D student in Human-Computer Interaction, College of Innovation and Design at Tongji University, advised by Prof. Nan Cao. My background in Art (M.A, Royal College of Art) and Science (M.S.C, Imperial College London) uniquely positions me to bridge design insights with technical innovation. My research sits at the nexus of Human-Computer Interaction (HCI) and accessible technology, with a special emphasis on AI-augmented tools for aging populations and inclusive design principles. I integrate empirical user studies with cutting-edge technical developments to devise practical solutions that tackle authentic accessibility barriers in everyday life.

[Research Focus]: Aging, Persuasive Health, Wearable Technology

🔥 News

• 2024.09:  🎉🎉 Became a PhD Candidate in Tongji University!

📖 Educations

Ph.D. Candidate in Design Engineering (2024.09 - Now)

Tongji University, Shanghai, China

• College of Innovation and Design

• Advisor: Prof. Nan Cao

• Research Focus: Human-Computer Interaction, Aging and Technology

Master’s Degree in Science & Master’s Degree in Art (2019.09 - 2021.07)

Imperial College London & Royal Collge of Art, London, United Kingdom

• Dyson School of Engineering & School of Design, Innovation Design Engineering

• Major Courses: Innovation Product System, Hardware Development, Design Engineering, etc

Bachelor’s Degree in Art (2015.09 - 2019.06)

Zhejiang University of Technology, Hangzhou, China

• School of Design and Art

• Graduated with Distinction, GPA: 3.83/4.0, Ranking: 1/126

🎖 Honors and Awards

• 2021 iF Design Award
• 2021 Red Dot Design Award
• 2019 Outstanding Graduate of Zhejiang Province (Top 1%)
• 2018 Chinese National Scholarship, Zhejiang University of Technology (Top 1%)
• 2018 Ant Design Innovation Award, Alibaba Group

📝 Publications

• [1] Capace: A Head-Mounted Haptic System for Attention Regulation in Adults with Deficit/Hyperactivity Disorder (ADHD), Wang et al. (Under Review, 2025).
• [2] Designing Affective Biofeedback: A Survey of Emotion Regulation Systems for Chronic Health Conditions, Wang et al. (Under Review, 2025).
• [3] CGM-Led Multimodal Tracking with Chatbot Support: An Autoethnography in Sub-Health, Dongyijie Primo Pan, Lan Luo, Yike Wang, Pan Hui. DOI (International Conference on Human-Engaged Computing (ICHEC 2025), Singapore).

💻 Careers

• 2024.02 - 2024.06, Tsinghua University, Human Factors & Ergnomics Lab, Beijing, China.
• 2021.09 - 2023.08, VML, Shanghai, China.
• 2020.05 - 2020.09, TCL Tech, X-LAB, Shenzhen, China.
• 2019.05 - 2019.08, BIGmind, Sweden and Shanghai, China.