Runze is working towards developing a computational framework for automated discovery and modeling of human rhythms. This project aims to understand the complex principles behind the physical and psychological abnormalities of human bodies, to plan life schedules, and avoid persisting fatigue and mood and sleep alterations due to the desynchronization of those rhythms.
Since graduating with his PhD in Systems Engineering in Spring 2023, Runze has gone on to join Emory University as a Postdoctoral Researcher.
Projects
Past Projects
Publications
2024
Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study
JMIR AI
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18 Apr 2024
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doi:10.2196/47194
2023
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics
2023 International Conference on Machine Learning and Applications (ICMLA)
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15 Dec 2023
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doi:10.1109/ICMLA58977.2023.00045
2022
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
ACM Transactions on Intelligent Systems and Technology
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03 Mar 2022
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doi:10.1145/3510029
2021
Daily Trajectory Prediction Using Temporal Frequent Pattern Tree
Lecture Notes in Networks and Systems
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17 Sep 2021
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doi:10.1007/978-981-16-2380-6_29
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams
Lecture Notes in Networks and Systems
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07 Aug 2021
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doi:10.1007/978-3-030-82199-9_44
2020
CoRhythMo: A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Cold Spring Harbor Laboratory
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10 Aug 2020
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doi:10.1101/2020.08.10.244020