I am currently a doctoral student in the Graduate School of Data Science at KAIST, Korea, supervised by Prof. Uichin Lee in the KAIST ICLab. I completed my master’s degree in the same lab, and my bachelor’s degree is from the Beijing Institute of Technology.
I also closely collaborate with Prof. Surjya Ghosh from BITS Pilani, India, and Dr. Jumabek Alikhanov from Inha University & HumbleBee R&D.
My current research interests focus on machine learning for mobile affective computing.
If you have any questions, feel free to email me at panyu@kse.kaist.ac.kr!
Projects
Routine Computing
IoT/AI for Dementia
Mobile Emotion Detection
Causal Analysis in Mobile Sensor Data
Publications
Panyu Zhang, Gyuwon Jung, Uzair Ahmed, and Uichin Lee. 2025. CausalCFF: Causal Analysis between User Stress Level and Contextually Filtered Features Extracted from Mobile Sensor Data. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 130, 1–7. https://doi.org/10.1145/3706599.3719776 (CHI EA 2025) video
Yunjo Han, Panyu Zhang, Minseo Park, and Uichin Lee. 2024. Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 206 (December 2024), 35 pages. https://doi.org/10.1145/3699724 (Ubicomp 2025)
Panyu Zhang, Gyuwon Jung, Jumabek Alikhanov, Uzair Ahmed, and Uichin Lee. 2024. A Reproducible Stress Prediction Pipeline with Mobile Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 3, Article 143 (August 2024), 35 pages. https://doi.org/10.1145/3678578 (Ubicomp 2024)
Jumabek Alikhanov, Panyu Zhang, Youngtae Noh, and Hakil Kim, “Design of Contextual Filtered Features for Better Smartphone-User Receptivity Prediction,” IEEE Internet of Things Journal, 2023. DOI: https://doi.org/10.1109/JIOT.2023.3331715.
Yongshin Kim*, Panyu Zhang*, Gyuwon Jung, Heepyung Kim, and Uichin Lee. 2021. Causal Analysis of Observational Mobile Sensor Data: A Comparative Study. In Proceedings of the Korean Computer Congress (KCC 2021).
Bingze Dai, Dequan Yang, Linge Ai and Panyu Zhang, “A Novel Video-Surveillance-Based Algorithm of Fall Detection,” 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, Beijing, China, 2018, pp. 1-6, doi: 10.1109/CISP-BMEI.2018.8633160. (CISP-BMEI 2018)
Teaching
TA for IoT Data Science - CS565/DS565 2024, 2025 Spring @ KAIST
Service
Reviewer for IMWUT/UbiComp, CHI LBW, Scientific Reports.
Intern Mentoring & Collaboration
I am proud to have worked with interns Uzair Ahmed, Anis Rashidov, and Minseo Park.
It has been an honor to collaborate with Jumabek Alikhanov, Gyuwon Jung, Yunjo Han, and Yongshin Kim.