Research Project: Human Status Tracking System
An intelligent Data Collecting System from Personal Mobile and Wearable Devices
An intelligent Data Collecting System from Personal Mobile and Wearable Devices
Computational Modeling of Human Behaviors from Mobile and Wearable Data
Personality Measurement from Mobile Sensor Data Using Machine Learning Approach
Racial Bias Detection Using Physiological Sensor Signals
Human Mobility Prediction Using GPS Data
Yelp Restaurant Recommendation System
Beijing PM2.5 Statistical Analysis and Forecasting
Stock Price Prediction
Collision Avoidance Algorithm via Deep Reinforcement Learning
Hand Gesture Controlled Mobile Robot Using Robot Operating System (ROS)
Published in ACM Transactions on Intelligent Systems and Technology (TIST), 2020
This paper was accepted by ACM TIST in January, 2022
Recommended citation: Yan, Runze, Xinwen Liu, Janine Dutcher, Michael Tumminia, Daniella Villalba, Sheldon Cohen, David Creswell et al. "A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams." ACM transactions on intelligent systems and technology, (2021). https://dl.acm.org/doi/full/10.1145/3510029
Published in International Conference on Applied Human Factors and Ergonomics (AHFE), 2021
Recommended citation: Nikseresht, Fateme, Runze Yan, Rachel Lew, Yingzheng Liu, Rose M. Sebastian, and Afsaneh Doryab. "Detection of Racial Bias from Physiological Responses." In International Conference on Applied Human Factors and Ergonomics, pp. 59-66. Springer, Cham, (2021). https://arxiv.org/pdf/2102.01287.pdf
Published in Intelligent Systems Conference (IntelliSys), 2021
Recommended citation: Yan, Runze, and Afsaneh Doryab. "Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams." In Proceedings of SAI Intelligent Systems Conference, pp. 643-661. Springer, Cham, (2021). https://arxiv.org/pdf/2109.06177.pdf
Published in International Congress on Information and Communication Technology (ICICT), 2021
Recommended citation: Cai, Mingyi, Runze Yan, and Afsaneh Doryab. "Daily Trajectory Prediction Using Temporal Frequent Pattern Tree." In Proceedings of Sixth International Congress on Information and Communication Technology, pp. 333-343. Springer, Singapore, (2022). https://link.springer.com/chapter/10.1007/978-981-16-2380-6_29
Published in Future Generation Computer Systems (FGCS), 2022
This paper was accepted by FGCS in February, 2022
Recommended citation: Yan, Runze, Whitney R. Ringwald, Julio Vega, Madeline Kehl, Sang Won Bae, Anind Dey, Carissa Low, Aidan GC Wright, and Afsaneh Doryab. "Machine Learning Modeling of Adaptive and Maladaptive Personality Traits from Passively Sensed Behavior." (2021). https://www.sciencedirect.com/science/article/pii/S0167739X2200053X
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Undergraduate and Graduate, Spring Semester Undergraduate and Graduate Course at UVA, 2020
Role: Teaching Assistant
Undergraduate course, Fall Semester Undergraduate Course at UVA, 2023
Role: Teaching Assistant