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PHS 398 (Rev. 5/01), Biographical Sketch SAMPLE Updated Apr 1, 2017 CURRICULUM VITAE Baek Hwan Cho, Ph.D. Contact Information POSITION TITLE Email: [email protected] Assistant Professor Smart Healthcare Device Research Center (스마트 헬스케어•의료기기 융합연구센터) Samsung Medical Center (삼성서울병원) Seoul, Korea EDUCATION/TRAINING INSTITUTION AND LOCATION DEGREE YEAR(s) FIELD OF STUDY Hanyang University, Seoul, Korea B.A. 1999 Electronic Engineering Hanyang University, Seoul, Korea M.S. 2001 Biomedical Engineering Hanyang University, Seoul, Korea Ph.D. 2007 Biomedical Engineering Positions and employment 2017- Assistant Professor, Samsung Medical Center, Seoul, Korea 2012-2016 Research Staff Member, Samsung Advanced Institute of Technology, Samsung Elec., Suwon, Korea 2009-2012 Postdoctoral Researcher, Lane Center for Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA 2007-2008 Postdoctoral Researcher, Dept. of Biomedical Engineering, Hanyang University, Seoul, Korea 2005-2006 Visiting Scholar, Dept. of Computer Science, University of Iowa, IA, USA 2001-2002 Chief Researcher, Psychotech Co., Ltd., Seoul, Korea Research experience 1. In Samsung Medical Center (2017 ~ ) ① Medical Data Analysis with Deep Learning - Involved in seizure detection with automatic movie analysis and EEG analysis via Deep Learning - Involved in ECoG data anlaysis with Deep Learning for BCI of monkeys - Involved in medical image (such as MRI, CT, and pathological images) analysis with Deep Learning - Interested in EMR data analysis with Deep Learning for prognostic studies - Interested in NGS data analysis with Deep Learning for prognostic risk factors 2. In Samsung Advanced Institute of Technology (2012 ~ 2016) ② Computer Aided Diagnosis for breast ultrasound images using computer vision - Involved in developing SW algorithms for tumor detection, segmentation, and classification using various computer vision techniques ③ Medical Data Analysis with Deep Learning - Involved in planning a new research project for wellness index via various biomedical signals and deep learning ④ Object (Car, Pedestrian, etc) detection and scene labeling for autonomous driving - Involved in developing object detection model using Deep Neural Networks - Involved in designing a demo car system for autonomous driving (HW/SW system) ⑤ Gesture recognition using the Dynamic Vision Sensor (DVS) and Deep Learning - Involved in developing gesture recognition SW package using DVS and Deep Learning algorithms 3. In Carnegie Mellon University, Pittsburgh, PA (2009 ~ 2012) ① Automatic protein location pattern analysis in the activated T cell - Involved in developing T cell segmentation, feature extraction, and quantitative analysis of clustering results ② Automated unmixing of protein subcellular patterns - Involved in developing an cell segmentation, feature extraction including SIFT features, and various unmixing methods using LDA ③ PSLID-OMERO project - Involved in plugging automatic protein location pattern analysis methods (from PSLID) to an open source server/client software (OMERO) 4. In Hanyang University, Seoul, Korea ① Computer-Aided Diagnosis in Digital Mammogram (1999 ~ 2000, 2006) - Involved in developing a Computer-Aided Diagnosis System in Digital Mammogram - Involved in constructing the Korean Digitized Mammogram Database ② Rehabilitation for Attention Deficits using Virtual Reality and Neurofeedback (2000~ 2001) - Involved in developing system of Virtual Reality and Neurofeedback for rehabilitation and assessment of inattentive children ③ Mobile Biosignal Acquisition and Analysis (2002~2003) - Involved in development of mobile body fat measurement system using PDA - Involved in development of mobile Electrocardiography and automatic diagnosis algorithm using PDA - Involved in development of mobile Photo-Plethysmography and Electrocardiography using PDA ④ Hearing Science and Hearing Aid (2002~2003) - Involved in development of Digital Hearing Aid algorithms - Involved in development of audiometry for assessment of hearing impairment - Involved in research of mechanism of hearing impairment using auditory functional MRI ⑤ Medical Informatics for medical applications (2003 ~ present) - Involved in machine learning application for prediction and risk factor analysis of diabetic complications - Involved in Biosignal Management System using Server/Client programming and data warehousing - Involved in classification of Obsessive Compulsive Disorder subtype using various Data Mining techniques - Involved in estimating of blood pressure using Pulse Transit Time and Artificial Neural Network 5. In Psychotech Co., Ltd., Seoul, Korea (Incubated Startup from Hanyang Univ.) ① Neurofeedback system (2001 ~ 2002) - Involved in developing a Neurofeedback system with full 3D game ② Attention Enhancement System (2001 ~ 2002) - Involved in developing an Attention Enhancement System for assessing & training children with behavioral problems Programming languages available - C/C++ (Windows/Linux) - Python - Matlab - Java - HTML with Javascript and Django - R Honors & Awards 2008 Postdoctoral fellowship, Korea Research Foundation Grant 2003 Best Researcher Award, Advanced Research Center for Recovery of Human Sensibility Patents (Registered) 2018 System and method for detecting region of interest (US, 9898819) 2017 Apparatus and method for computer-aided diagnosis (US, 9639929) 2017 Apparatus and method for lesion detection (US, 9532762) 2017 Apparatus and method for lesion segmentation and detection in medical image (US, 9536316) 2016 Apparatus and method for combining three dimensional ultrasound images (US, 9504450) 2016 Apparatus and method for detecting lesion (US, 9305349) 2004 System and method for enhancing attention on internet (Korea, 1004297060000) Patents (Applied) 2018 Stereo camera-based autonomous driving method and apparatus (US 20180052457) 2017 Method and apparatus for acquiring image disparity (US, 20170223332) 2017 Method and apparatus for processing binocular disparity image (US, 20170223333) 2017 Event signal processing method and apparatus (US, 20170213077) 2017 Method and apparatus for detecting error in gesture recognition (US, 20170124410) 2016 User interface system and method for enabling mark-based interaction for images (US, 201603334964) 2016 Device and method for detecting position of object (US, 20160123721) 2015 Apparatus and method for sampling images (US, 2015365566) 2015 Apparatus and method for visualizing anatomical elements in a medical image (US, 20150265251) 2014 Apparatus and method for analyzing lesions in medical image (US, 20140037159) 2006 Method and apparatus for portable spirometer which can measure lung capacity and respiration gas (Korea) Peer-reviewed publications 1. International Journals ① Jeyeon Lee, Hoseok Choi, Dong-Hyun Baek, Baek Hwan Cho, Kyoung-ha Ahn, Sang Hoon Lee, In Young Kim, Dong Pyo Jang, and Kyoung-Min Lee: Decoding saccadic directions using epidural ECoG in non-human primates. Journal of Korean Midical Science, 32(8) 1243-1250 (2017) ② Kole T. Roybal, Taráz E. Buck, Xiongtao Ruan, Baek Hwan Cho, Danielle J. Clark, Rachel Ambler, Helen M. Tunbridge, Jianwei Zhang, Paul Verkade, Christoph Wülfing, Robert F. Murphy: Computational spatiotemporal analysis identifies WAVE2 and cofilin as joint regulators of costimulation-mediated T cell actin dynamics. Science Signaling, 9 (424), rs3. (2016) ③ Dohyun Kim, Jongshill Lee, Hoon Ki Park, Dong Pyo Jang, Soohwa Song, Baek Hwan Cho, Yoo-Suk Jung, Rae-Woong Park, Nam-Seok Joo, In Young Kim. Comparing the standards of one metabolic equivalent of task in accurately estimating physical activity energy expenditure based on acceleration, Journal of Sports Sciences, 34. (2016) ④ Sung Hoon Yoon, Kyoung Won Nam, Sunhyun Yook, Baek Hwan Cho, Dong Pyo Jang, Sung Hwa Hong, In Young Kim, A trainable hearing aide algorithm reflecting individual preferences for degree of noise-suppression, input sound level, and listening situation, Clinical and Experimental Otorhinolaryngology. (2016) ⑤ Baek Hwan Cho, Ivan Cao-Berg, Jennifer A. Bakal, and Robert F. Murphy. OMERO. searcher: content-based image search for microscope images, Nature Methods, 9 (7), 633-634 (2012) ⑥ Baek Hwan Cho, Hwanjo Yu, Jongshill Lee, Youngjoon Chee, In Young Kim, Sun I. Kim: Nonlinear support vector machine visualization for risk factor analysis using nomograms and Localized Radial Basis Function kernels. IEEE trans. on Information Technology in Biomedicine , 12(2) 247- 256 (2008) ⑦ Baek Hwan Cho, Hwanjo Yu, Kwang Won Kim, Tae Hyun Kim, In Young Kim, Sun I. Kim: Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. Artificial Intelligence in Medicine, 42(1) 37-53 (2008) ⑧ Jong Shill Lee, Baek Hwan Cho, Young Joon Chee, In Young Kim, Sun I. Kim: New Approach for personal Identification based on dVCG. IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, E91-D(4) 1201-1205 (2008) ⑨ Uicheul Yoon, Jong-Min Lee, Kiho Im, Yong-Wook Shin, Baek Hwan Cho, In Young Kim, Jun Soo Kwon, Sun I. Kim: Pattern classification using principal components of cortical thickness and its discriminative pattern in schizophrenia. Neuroimage, 34(4) 1405-1415 (2007) ⑩ Baek Hwan Cho, Saebyul Kim, Dong Ik Shin, Jang Han Lee, Sang Min Lee, In Young Kim, Sun I. Kim: Neurofeedback Training with Virtual Reality for Inattention and Impulsiveness. Cyberpsychology & Behavior, 7(5) 519-526 (2004) ⑪ Baek Hwan Cho, Jeonghun Ku, Dong Pyo Jang, Saebyul Kim, Yong Hee Lee, In Young Kim, Jang Han Lee, Sun I.
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