Joined as Assistant Professor Tenure-track in Marketing and Data Science DepartmentTeaching the graduate-level courses in the Master of Science in Data Science (MSDS) program

• Conduct cutting-edge research and develop deep-learning models for analyzing medical multimodality data, including X-ray and ultrasonography medical images/videos in RGB and grayscale formats.• Explore cutting-edge technology advancements like ChatGPT, Generative AI, and Large Language Models (LLMs) while creating a research roadmap to delve into their applications and implications.

• Applied deep learning techniques to achieve a 20% increase in realism for digital-human characters, enhancing their lifelike qualities in Metaverse applications.• Innovated and deployed efficient 2D to 3D conversion methods, significantly reducing project timelines and production costs by 30%, while upholding the high quality of digital-human designs, directly contributing to project success and profitability

• Developed advanced deep learning techniques leveraging CNNs, RNNs, LSTMs, and SVM to accurately identify sequential patternsin human activity for XVision Technology Advancement. The main emphasized violence detection and content moderation in both videos and images, enhancing the capabilities of the technology.• Collaborated on an award-winning project, the Self-Driving Data Contest 2021, contributing to a project that received the prestigious Korea Transportation Safety Authority Chairman Award.

• Pioneered thumbnail-based video analysis for streaming platforms, resulting in a 3.57% improvement in computational efficiency for on-device computation. Successfully deployed deep learning models on edge devices such as Nvidia Jetson TX2 modules, accelerating the development of advanced video content analysis systems.• Collaborated in developing algorithms for multiview video surveillance summarization, utilizing target-appearance-based features, identifying user-preferred emotional moments, implementing facial expression recognition, and extensively exploring pre-trained deep learning models.• Developed meticulous disclosure documents for multinational collaborations, safeguarding intellectual property and enabling successful technology transfer. Authored impactful research manuscripts, including four journals and eleven conference papers, elevating the lab’s academic prominence and recognition.• Played a pivotal role in securing funding by assisting the Principal Investigator (PI) in writing proposals, including crafting a proposal for the Amazon Research Award 2021, which although unsuccessful, led to valuable insights and innovations, resulting in a patent application.

• Participated in developing AI-based healthcare solutions for seniors by designing and implementing a comprehensive life-logging system. Enabled detailed activity monitoring using advanced video analysis for improved senior well-being and safety.• Collaborated in the development of algorithms for multiview video surveillance summarization, leveraging target-appearance-based features, user-preferred emotional moments, facial expression recognition, and extensive exploration of pre-trained deep models.