Associate Professor at Anyang University South Korea
Dr. Seok-Woo Jang is an Associate Professor in the Department of Software at Anyang University, Korea. With extensive experience in computer science and software engineering, he has contributed significantly to the fields of image processing, artificial intelligence, and human-computer interaction. His research spans biometrics, computer vision, and information security. Over the years, he has actively participated in numerous research projects and published widely in internationally recognized journals. Dr. Jang’s academic journey and professional experience highlight his dedication to advancing technology through innovative research and education.
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Education
Dr. Seok-Woo Jang obtained his Ph.D. in Computer Science from Soongsil University, Seoul, Korea, in 2000. His doctoral dissertation focused on “Shot Transition Detection by Compensating Camera Operations,” showcasing his early expertise in image and video processing. He completed his Master’s degree in Computer Science from the same institution in 1997, researching velocity extraction of moving objects through cluster analysis. His academic foundation was laid with a Bachelor’s degree in Computer Science from Soongsil University in 1995.
Experience
Dr. Jang’s professional career spans over two decades in academia and research. He has been a Professor at Anyang University since 2009, contributing to software education and research. Prior to that, he was a Research Professor at Sungkyunkwan University from 2008 to 2009. His industry and research experience include roles as a Senior Researcher at the Korea Institute of Construction Technology and a Principal Researcher at the Institute of Industrial Technology Research at Soongsil University. He has also conducted post-doctoral research at the University of Massachusetts, Boston, and the University of North Carolina at Charlotte. His teaching experience includes lecturing at Soongsil University and Sungkyul University.
Research Interests
Dr. Jang’s research focuses on multiple domains, including 2D/3D image processing, human-computer interaction, biometrics, information security, and pattern recognition. He is particularly interested in digital video data indexing, computer vision, object tracking, and image surveillance. His work also extends to developing innovative techniques for harmful content detection and deep learning-based solutions in software engineering and AI-driven image analysis.
Awards
Dr. Jang has received numerous awards for his contributions to research and academia. He was awarded the Best Paper Award at the International Conference on Small and Medium Business in 2018 for his work on harmful content extraction using learning algorithms. In 2016, he received the Best Researcher Award at Anyang University. He also won the Best Paper Award at the International Conference on Digital Policy and Management in 2013 for his work on dynamic camera switching. His achievements have been recognized internationally, including being listed in Marquis Who’s Who in the World in 2008.
Publications
Dr. Jang has authored numerous peer-reviewed publications. Some of his notable works include:
“Detection of Ventricular Fibrillation Using Wavelet Transform and Phase Space Reconstruction from ECG Signals” – Journal of Mechanics in Medicine and Biology, 2021.
“Pupil Detection and Gaze Tracking Using a Deformable Template” – Multimedia Tools and Applications, 2020.
“Robust Hand Pose Estimation Using Visual Sensor in IoT Environment” – The Journal of Supercomputing, 2019.
“Harmful Content Detection Based on Cascaded Adaptive Boosting” – Journal of Sensors, 2018.
“A Monitoring Method of Semiconductor Manufacturing Processes Using Internet of Things-based Big Data Analysis” – International Journal of Distributed Sensor Networks, 2017.
“Learning-based Detection of Harmful Data in Mobile Devices” – Mobile Information Systems, 2016.
“An Adaptive Camera-Selection Algorithm to Acquire Higher-Quality Images” – Cluster Computing, 2015.
Conclusion
Dr. Seok-Woo Jang is a highly deserving candidate for the Best Researcher Award. His extensive academic credentials, innovative research projects, influential publications, and numerous awards establish him as a leading researcher in his field. His contributions to computer vision, biometrics, and artificial intelligence continue to push the boundaries of technology, making a lasting impact on both academia and industry.