Honolulu, Hawaii USA
Machine Learning , Computer Vision , AI for Healthcare
Languages and Frameworks: C++, Python, Java, JavaScript, Swift
Toolsets/OS: Linux, Ubuntu, MacOS, Git/GitHub
University of Hawai‘i at Mānoa
Ph.D., Computer Science
2023 - 2026
University of Hawai‘i at Mānoa
M.S., Computer Science
2021 - 2023
Concordia College
B.A., Computer Science, Mathematics
2017 - 2021
Research Assistant, University of Hawai‘i at Mānoa - CIRP Lab
Research on fine-tuning action recognition models, developing diagnostic tools for ASD, and contributing to CVPR 2025 workshop infrastructure.
2024 - Present
Research Assistant, University of Hawai‘i at Mānoa - Digital Health Lab
Applied machine learning research to diagnostic models for pediatric developmental delays using real-world video data.
2023 - 2024
Research Assistant, University of Hawai‘i at Mānoa - AMMI Lab
Worked on robotics and medical instrumentation with image/data processing tasks.
2022 - 2023
Hawai‘i Data Science Institute Fellowship, HIDSI
Fellowship awarded for graduate-level research in data science.
2023-2024
Priority Cobber Award, Concordia College
Merit-based academic scholarship.
2017-2021
International Student Excellence Scholarship, Concordia College
Scholarship recognizing academic excellence for international students.
2017-2021
A Linear Programming and Deep Reinforcement Learning Framework to Choose Dwell Positions and Dwell Time in High-Dose-Rate Prostate Brachytherapy Using Curvilinear Catheters
Yang Qian, Peter Washington, Tarun K Podder, Bardia Konh
ASME International Mechanical Engineering Congress and Exposition (IMECE), 2024
Presented at ASME IMECE 2024. Combines linear programming and deep reinforcement learning to optimize dwell positions and times in HDR prostate brachytherapy.
TikTokActions: A TikTok-Derived Video Dataset for Human Action Recognition
Yang Qian, Yinan Sun, Ali Kargarandehkordi, Onur Cezmi Mutlu, Saimourya Surabhi, Pingyi Chen, Zain Jabbar, Dennis Paul Wall, Peter Washington
arXiv, 2024
Introduces TikTokActions, a large-scale dataset for action recognition and foundation model pretraining. arXiv:2402.08875
Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Yang Qian, Ali Kargarandehkordi, Onur Cezmi Mutlu, Saimourya Surabhi, Mohammadmahdi Honarmand, Dennis Paul Wall, Peter Washington
arXiv, 2023
Presents deep learning models for estimating emotion reaction intensity in-the-wild settings. arXiv:2303.10741
Enhancing Automatic Emotion Recognition for Clinical Applications
Yang Qian
University of Hawai‘i at Mānoa, 2023
Master’s thesis on personalized multimodal emotion recognition and intensity estimation using transformer architectures.
Available upon request