Professor

Professor Yong Man Ro received Ph.D. degree from the department of electrical engineering at KAIST. He was a researcher at Columbia University, a visiting researcher at the University of California, Irvine, and a research fellow at the department of electrical engineering and computer Sciences in the University of California, Berkeley. He was a visiting professor in The Edward S. Rogers Sr. department of electrical and computer engineering at the University of Toronto. He is currently a full professor and the chair of signals and systems group of the department of electrical engineering in KAIST.

Prof. Ro is a senior member of IEEE, a member of ISMRM and SPIE. He received the young investigator finalist award of ISMRM in 1992 and the year scientist award (Korea) in 2003. He served as an associate editor for IEEE signal processing letters. He serves as an associate editor in transitions on data hiding and multimedia security (Springer-Verlag). He served as a TPC in many international conferences including the program chair of PCM2015 and IWDW 2004. He organized many special sessions including "Digital Photo Album Technology" in AIRS 2005, "Social Media" in DSP 2009 and "Human 3D Perception and 3D Video Assessments" in DSP 2011.

Experience ¤ıProfessor in Korea Advanced Institute of Science and Technology (KAIST)
¤ıChair (fmr) of signals and systems group of the department of electrical engineering in KAIST
¤ıDepartment vice chair (fmr) in the department of electrical engineering in KAIST
¤ıAssociate editor (fmr) in IEEE signal processing letter
¤ıAssociate editor in transitions on data hiding and multimedia security (Springer-Verlag)
¤ıFounder and CEO of IVSYSTEM Co. LTd.
¤ıUniversity of Toronto, visiting professor
¤ıUniversity of California, Berkeley, research fellow
¤ıUniversity of California, Irvine, researcher
¤ıColumbia university, New York, researcher

Awards ¤ıAward for Academic Excellence (KAIST), 2015
¤ıKAIST Merits Award, 2013
¤ıThe year¡¯s Scientist Award (Korea), 2003
¤ıExcellence in New Technology Award, Korea ministry of information communication, 2003
¤ıDistinguished Scholar Award in Taejon University, 1995
¤ıYoung Investigator Finalist Award in ISMRM, 1992, U.S.A.
¤ıStudent Stipend in ISMRM, 1991, 1992, U.S.A.
¤ıAcademic Excellence Awards in Yonsei university during 1981, 1982, 1983, and 1984

Awards with Students ¤ıRobert F. Wagner All Conference Best Student Paper FinalLists Award in SPIE Medical Imaging, 2018
¤ıBest Paper Award in IEEE/IEIE ICCE-Asia, 2018
¤ıBest 10% Paper Award in IEEE ICIP, 2015
¤ıBest Student Paper Award in PCM, 2015
¤ıHonorable Mention Poster Award in SPIE Medical Imaging, 2015
¤ıBest Poster Award in Global 3D Tech. Forum, 2013
¤ıHumanTech Paper Award in Samsung HumanTech., 2017
¤ıBronze Medal in Samsung HumanTech, 2011
¤ıThis Year¡¯s Paper Award in Korea Information Processing Society, 2016
¤ıBest Paper Award in Korea Information Processing Society, 2016
¤ıTop Research Achievement Award in KAIST, 2012, 2013, 2016
¤ıBest Paper Award in Korea Society of Broadcast Engineers Conference, 2013
¤ıBest Paper Award in KISPS, 2009
¤ıBest Paper Award in KISP, 2006, 2007
¤ıBest Paper Award in Korea Multimedia Society, 2005, 2007, 2009 – 2017
¤ıBest Paper Award in Korean Federation of Science and Technology Societies, 2005

Research project-activities (since 2009) ¤ıDevelopment of VR sickness reduction technique for enhanced sensitivity (Deep learning Approach) 
¤ıResearch on AI based Heterogeneous Data Fusion
¤ıDevelopment of Explainable Human-level Deep Machine Learning Inference Framework (Explainable XCAD) 
¤ıDeep learning based Automatic Object Detection
¤ıDevelopment of high performing emotion recognition and facial expression based authentication using deep network
¤ıDynamic Face Analysis in Invisible Time Scale
¤ıDeep Learning based Segmentation and Quantitative Measurement
¤ıDeep Learning based Real-time Abnormality Detection
¤ıSpatio Temporal Deep Network based Face Emotion Recognition
¤ıUltra-high Resolution Holographic Image Processing (Hologram using Sparse Fourier Transform)
¤ıDevelopment of face masking and face recognition techniques for surveillance and privacy reinforcements
¤ıDeep Learning Computer Aided Screening of Digital X-ray Image
¤ıDevelopment of Emotion Extraction and Classification for Human Centric Sensitivity Media TV
¤ıBiometric authentication using facial spatio-temporal dynamics
¤ıDeveloping Learning Emotions Recognition System using Face Expression Recognition
¤ıHuman Centric Sensitive and Healing Media TV Technology Plan
¤ıAutomatic Detecting Malicious Content
¤ıDevelopment of Mammography Computer Aided Diagnosis (CAD)
¤ı8K/Glass-free 3D TV : View generation Algorithm
¤ıDevelopment of Access Control-Face Detection/Recognition System
¤ıDevelopment of object recognition technology adaptive to low-power and wild environments
¤ıContent-aware Depth Control Algorithm for Enhancing Immersions with reduced discomfort
¤ıDevelopment of the Filtering Technology for Objectionable Streaming Contents on Smart Platform
¤ıDevelopment of High Performance Recognition with Big Data
¤ıAttention Segmentation in Video Sequence
¤ıDesign and Evaluation of a Semantic-Based System for Effective and Efficient Video Copy Detection in Large-Scale Video Repositories
¤ıVideo analysis using sparse representation and collective knowledge in video folksonomies
¤ıDeveloping Processing Steps for Automated Diagnosis of Free Fluids in Abdomen
¤ıPractical safety guideline for viewing 3DTV
¤ıDevelopment of Face Expression Recognition Engine
¤ıSoftware Development for Ultrasound Brain Imaging
¤ıDevelopment of online/real-time intelligent video analytics system for CCTV
¤ıDevelopment of Bag of Spatio-temporal Visual Words
¤ıDevelopment and standardization of Terrestrial Stereoscopic 3DTV Broadcasting System technology
¤ıVideo Indexing and Retrieval using Face Recognition
¤ıDevelopment of privacy preserving technique in face recognition system
¤ıMulti-energy X-ray Image Processing
¤ıGesture Recognition Robust to Environmental Variation
¤ıAnalysis and the development of feature extraction algorithm of user generated malicious image/video

Research Area ¤ıDeep learning and machine learning on Image processing and computer vision
¤ıHigh-performance face recognition, Emotion recognition
¤ıAutomatic object and action detection/recognition
¤ıMedical image processing and Computer Aided Diagnostic (CAD) systems
¤ı3D rendering/processing, S3D quality measurement
¤ıVideo signature/video analysis
¤ıLarge scale image/video retrieval.