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.

• Built and maintained the evaluation pipeline for the CVPR 2025 Bin Picking Challenge
• Investigated vision transformer models for ASD behavioral screening

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

Teaching Assistant, University of Hawai‘i at Mānoa

Supported courses in programming and computational thinking, including grading and instructional duties.

2021 - 2022

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

Hashtag2Action: Data Engineering and Self-Supervised Pre-Training for Action Recognition in Short-Form Videos

Y. Qian, A. Kargarandehkordi, Y. Sun, P. Azizian, O. C. Mutlu, S. Surabhi, Z. Jabbar, D. Wall, P. Washington, and H. Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2025

Presented at the First Workshop on Short-Form Video Understanding (SVU 2025), held in conjunction with ICCV 2025, Honolulu, Hawai‘i, USA.

A Linear Programming and Deep Reinforcement Learning Framework to Choose Dwell Positions and Dwell Time in High-Dose-Rate Prostate Brachytherapy Using Curvilinear Catheters

Y. Qian, P. Washington, T. K. Podder, and B. 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.

Computer Vision Estimation of Emotion Reaction Intensity in the Wild

Y. Qian, A. Kargarandehkordi, O. C. Mutlu, S. Surabhi, M. Honarmand, D. P. Wall, and P. 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

Y. Qian

University of Hawai‘i at Mānoa, 2023

Master’s thesis on personalized multimodal emotion recognition and intensity estimation using transformer architectures.