Hosub Lee, Ph.D.

I am a data scientist and HCI researcher seeking to better understand how users interact with ubiquitous computing environments, predict their behaviors regarding intelligent services, and finally provide personalized recommendations for them. I am currently focusing on building machine learning-based systems that provide smart TV users with a personalized TV viewing experience. I obtained my Ph.D. degree in Information and Computer Science from the University of California, Irvine, under the supervision of Professor Alfred Kobsa.

• Google Scholar Profile

• ORCID iD

Updates:

• May 2024: A patent titled "Personalized Color Temperature Adaptation for Consumer Display Devices" was allowed by USPTO.

• Apr. 2024: A paper about factors impacting human-perceived video quality on TV displays was submitted for publication and is under review.

• Apr. 2024: A paper about human-perceived visual quality of 8K resolution was submitted for publication and is under review.

• Jan. 2024: A paper titled "Uncovering and Understanding Smart TV Users' Picture Quality Preferences via Big Data Analytics" was published in IEEE BigData 2023.

• Jan. 2024: A paper titled "Evaluation of Subjective Video Quality of Television Displays" was published in Electronic Imaging.

• Apr. 2023: A patent titled "Providing Situational Device Settings for Consumer Electronics and Discovering User-preferred Device Settings for Consumer Electronics" was issued by USPTO.

• Oct. 2022: The presentation "8K Visual Quality and Ecosystem" was made at the Samsung Developer Conference 2022.

• Jun. 2021: A paper titled "Data-driven Approaches for Discovery and Prediction of User-preferred Picture Settings on Smart TVs" was published in ACM IMX 2021 with the Best Paper Honorable Mention Award.