UNGMING WOO – Electronic Engineering – Best Researcher Award

UNGMING WOO - Electronic Engineering - Best Researcher Award

Korea University of Technology and Education - South Korea

AUTHOR PROFILE

SCOPUS

ASSISTANT PROFESSOR IN EECE, KOREATECH

Since September 2020, UNGMING WOO has served as an Assistant Professor in the Department of Electronics and Computer Engineering (EECE) at KOREATECH. His expertise lies in the intersection of artificial intelligence and image processing, particularly in mobile camera systems. WOO has made significant contributions to academia as an associate editor for prominent journals, while also receiving several accolades for his work in engineering education and research.

RESEARCH CONTRIBUTIONS πŸ“š

WOO's extensive background in research has been pivotal in advancing camera technology at LG Electronics, where he served as a Senior Researcher from 2008 to 2020. His innovations, including Laser AF technology and AI-driven photography solutions, have transformed mobile imaging. His leadership in developing key algorithms has positioned him as a thought leader in this rapidly evolving field.

PUBLICATIONS AND IMPACT ✍️

Throughout his career, WOO has published numerous papers in prestigious journals and conferences, including topics such as deep fusion illuminant estimation and real-time customer-aware systems. His work not only addresses theoretical aspects but also focuses on practical applications that enhance user experience. His publication record reflects a commitment to advancing the field of artificial intelligence and image processing.

INDUSTRY LEADERSHIP 🌟

WOO's contributions extend beyond academia into the industry, where he has pioneered technologies that improve camera functionality and user interaction. His leadership roles in various conferences and committees illustrate his dedication to fostering collaboration between industry and academia. WOO's work continues to influence the direction of camera system development in consumer electronics.

INNOVATIVE TECHNOLOGIES πŸ’‘

WOO is known for leading several groundbreaking technologies during his tenure at LG Electronics. His achievements include advancements in AI Action shot capabilities, dual-pixel autofocus systems, and innovative denoising techniques for image enhancement. These contributions have set new standards in mobile photography, making high-quality imaging accessible to a broader audience.

AWARDS AND RECOGNITION πŸ†

WOO's efforts have not gone unnoticed; he has received various awards and recognitions, including a Certificate of Appreciation from the IEIE and leadership roles in prestigious conferences. His commitment to excellence in research and teaching is reflected in the accolades he has garnered throughout his career. WOO's reputation in the field is marked by his impactful contributions and collaborative spirit.

FUTURE DIRECTIONS πŸš€

Looking ahead, WOO aims to further his research in intelligent imaging systems, focusing on AI applications in camera technology and accessibility solutions. His vision includes creating more user-friendly systems that integrate advanced technologies for enhanced performance. With a passion for innovation and a strong academic foundation, WOO is poised to make significant strides in the engineering landscape.

NOTABLE PUBLICATIONS

Title: Deep Fusion: Illuminant Estimation using a Camera and a Spectral Sensor
Authors: Woo, S., Boo, R.
Journal: IEIE Transactions on Smart Processing and Computing
Year: 2023

Title: A Real-Time Customer-Aware Kiosk System for Improved Accessibility
Authors: Choi, J.-Y., Woo, S.-M.
Journal: Journal of Institute of Control, Robotics and Systems
Year: 2023

Title: Deep Texture-adaptive Image Denoising for Practical Application
Authors: Woo, S.-M., Lee, S.-E., Kim, J.-O.
Journal: IEIE Transactions on Smart Processing and Computing
Year: 2022

Title: Deep Region Adaptive Denoising for Texture Enhancement
Authors: Lee, S.-E., Woo, S.-M., Kim, J.-H., Ryu, J.-H., Kim, J.-O.
Journal: IEEE Access
Year: 2022

Title: Flat and Texture Region Segmentation in Image Denoising
Authors: Woo, S.-M.
Conference Paper: ITC-CSCC 2022 - 37th International Technical Conference on Circuits/Systems, Computers and Communications
Year: 2022