Hosub Lee, Ph.D.

I am a Data Scientist and Image Quality Researcher with over 15 years of experience at the intersection of machine learning, human-computer interaction, and perceptual multimedia quality. My work focuses on using data to understand and improve how people experience digital media. I hold patents and have published works in areas such as smart TV usage analytics, large-scale behavioral modeling, and data-driven image quality assessment. I obtained my Ph.D. degree in Information and Computer Science from the University of California, Irvine, under the supervision of Professor Alfred Kobsa.

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Updates:

• Aug. 2025: A patent titled "Generation of Device Setting Recommendations based on User Activeness in Configuring Multimedia or Other User Device Settings" was issued by USPTO.

• Aug. 2025: A paper titled "Perceptual Visual Quality of UHD-2/8K on Consumer Display" was published in SID Symposium Digest of Technical Papers.

• May 2025: A paper about the use of AI upscaling in television displays has been submitted for publication.

• Feb. 2024: A paper titled "Evaluation of Lightness Preference of Images on OLED and QLED Displays" was published in Electronic Imaging.

• Dec. 2024: A paper titled "Factors Impacting Human-perceived Visual Quality on Television Displays" was published in Frontiers in Neuroscience.

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

• 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.