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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Short description of portfolio item number 1
Short description of portfolio item number 2
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Context awareness provides better understanding of user, which can be used in many different ways. I’ve explore augmenting ambient acoustic contexts to conversational agents to extend the capability of the existing smart speakers. I’ve also worked on non-textual communication application that recommends avatars that represent user’s current state so that users can simply select and tap to share their states with friends and family. Lastly, I’ve explored using users’ subtle motion to provide seamless content sharing experience across different devices
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Sleep is critical to human function, mediating factors like memory, mood, energy, and alertness. Although it is commonly conjectured that a good night’s sleep is important for job performance, this relationship has historically been hard to quantify due to the difficulty of capturing objective measures in real-world contexts. We have explored the relationship between sleep and job performance in the wild, and sleep and sleep tracking app. Also, we have also explored the feasiblity of using mobile app interaction time as an indicator of sleep behavior and job performance
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There have been increasing number of mobile health applications available for general population. However, the usability and inproper guidance could result in suboptimal performance, if worse, misdiagnosis. To minimize human error in self-diagnosis using mobile phones, I have been building an smartphone application to guide users to perform the task correctly in real-time using computer vision techniques. I am also exploring a method to ensure sensor inputs (e.g., image, audio, accelerometer) are compatible for the machine learning models to perform at its best performance.
Published in USENIX Annual Technical Conference (ATC), 2015
Published in IEEE/ACM Transaction on Networking, 2017
Published in ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2017
Published in ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 2017
Published in ACM Conference on Conference on Mobile Computing and Networking (MobiCom), 2019
Published in International Conference on Information and Communication Technologies and Development (ICTD), 2020
Published in ACM International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI), 2020
Published in BMJ Open, 2020
Published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2021
Published in The Web Conference (WWW), 2021
Published in ACM Conference on Human Factors in Computing Systems (CHI), 2021
Published in ACM Conference on Human Factors in Computing Systems (CHI) Late-Breaking Work, 2021
Published in ACM Symposium on User Interface Software and Technology (UIST), 2021
Published in Conference on Neural Information Processing Systems (NeurIPS), 2021
Published in Frontiers in Biomedical Devices, 2023
Published in arxiv, 2024
Published in arxiv, 2024
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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