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[2024.04.11(목)] Artificial Intelligence & AI Convergence Network Colloquium 개최 안내
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- 글쓴이 관리자
- 작성일 2024-04-03 11:50:37
- 조회수 358
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대학원 인공지능학과 & AI융합네트워크학과에서는 Artificial Intelligence & AI Convergence Network Colloquium을 4월 11일(목) 오후 3시에 개최하오니 많은 참여 부탁드립니다.
 When : 2024년 4월 11일(목) 오후 3시 Where : 팔달관 407호 Speaker : Albert Kim(김태석), Professor of Medical Engineering at the University of South Florida Title : Machine Learning-Enabled Sensing System in Biomedical Engineering
Abstract : The rise of Smart Health is transforming the traditional medical system in many ways, making healthcare more efficient, convenient, and personalized. Notably, numerous significant healthcare devices have led to new insights in ambulatory monitoring and automated diagnosis, from an early example of the pacemaker. With the emergence of artificial intelligence, which highlights the importance of health data, the role of sensors has become increasingly important. In this talk, I will present one of such example, especially in traumatic brain injury (TBI). TBI is intracranial brain deformation due to mechanical impact. This deformation is viscoelastic and differs from a traditional rigid transformation. In this paper, we describe a machine learning-enabled wireless sensing system that predicts the trajectory of intracranial brain deformation. The sensing system consists of an implantable soft magnet and an external magnetic sensor array with a sensing volume of 12 × 12 × 4 mm3. A machine learning algorithm predicts brain deformation by interpreting the magnetic sensor outputs created by the change in position of the implanted soft magnet. These results suggest that the proposed machine learning-enabled sensor system can be an effective tool for measuring in situ brain deformation.
Bio : Albert Kim is currently an Assistant Professor of Medical Engineering at the University of South Florida. He earned a B.S., M.S., and Ph.D. in Electrical and Computer Engineering from Purdue University in 2008, 2011, and 2015. From 2015 to 2017, he joined Intel Corp. as an R&D engineer. Prior to his current position, he was an Assistant Professor of the Electrical and Computer Engineering department at Temple University (2017-2022). His research interests are in a range of clinically promising smart implantable biomedical microdevice system that combines acoustic waves, micro-electromechanical systems (MEMS) and nanotechnology, flexible bioelectronics, and/or machine learning-enabled systems. His research has been supported by the National Science Foundation (NSF), the National Institute of Health (NIH), and the Florida Department of Health, a total of over $8M. As a faculty member, Dr. A. Kim received the most prestigious award, the NSF CAREER Award, in 2022. He is also a full member of Sigma Xi.
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