Jun Sung Yoon

Jun Sung Yoon Email and Phone Number

Computer Vision Engineer with Deep Learning & Image Processing Expertise and Cross-Domain Adaptability.
Jun Sung Yoon's Location
Los Angeles Metropolitan Area, United States
About Jun Sung Yoon

Experienced computer vision expert with proven expertise in deep learning, GPU acceleration, and large-scale 3D image processing (1GB+ image datasets). Skilled in fostering collaboration across interdisciplinary teams, delivering innovative solutions, and achieving impactful results in dynamic environments.

Jun Sung Yoon's Current Company Details

Computer Vision Engineer with Deep Learning & Image Processing Expertise and Cross-Domain Adaptability.
Jun Sung Yoon Work Experience Details
  • Qureator
    Head Of Data Science & Korea Research Center
    Qureator Nov 2020 - Aug 2024
    San Diego, California, United States
    • Directed the Korea R&D Center, managing interdisciplinary teams (Data Science, Biology, and Mechanical Engineering) while overseeing research directions, operations, and progress tracking.• Built and expanded the Data Science Team from scratch, mentoring three team members and driving both strategic initiatives and hands-on development.• Designed and implemented an in-house data processing system integrated with Google Cloud, managing 250TB of 3D microscopy data and enabling automated… Show more • Directed the Korea R&D Center, managing interdisciplinary teams (Data Science, Biology, and Mechanical Engineering) while overseeing research directions, operations, and progress tracking.• Built and expanded the Data Science Team from scratch, mentoring three team members and driving both strategic initiatives and hands-on development.• Designed and implemented an in-house data processing system integrated with Google Cloud, managing 250TB of 3D microscopy data and enabling automated analysis pipelines for data-driven research.• Actively developed deep-learning models for 3D segmentation tasks, including nuclei and spheroid segmentation, directly contributing to algorithm optimization and deployment.• Led the design, development, and management of a new platform for evaluating cancer drug efficacy and toxicity, integrating advanced image processing techniques like tumor segmentation and vascular network analysis to enable scalable and accurate assessments.•Developed GPU-accelerated software for 3D confocal microscopy image enhancement, combining deconvolution and noise reduction using cuCIM and Dask-CUDA for scalable parallel processing of 3D datasets. Show less
  • Secugen
    Software Development Contractor
    Secugen Mar 2017 - Dec 2017
    Santa Clara, California, United States
    • Developed the SecuSearch Java SDK by integrating an existing C++ library using JNI for seamless biometric processing.• Created a software library for SecuGen sensors to integrate with the UAE Biometric ID Card Toolkit on Windows.• Implemented a Linux USB driver for the SecuGen U10 Sensor, ensuring reliable hardware support and streamlined device functionality.
  • Secugen
    Director Of R&D
    Secugen May 2016 - Feb 2017
    Santa Clara, California, United States
    • Spearheaded the launch of a new fingerprint match-on-sensor product by resolving critical software challenges, including embedded Linux kernel porting, driver optimization, and fingerprint algorithm refinement.• Redesigned SecuSearch v3 for multi-core parallel processing, achieving 4x speed and capacity improvements over v2 and driving successful market launch.
  • Allegroviva Corporation
    Ceo & Cofounder
    Allegroviva Corporation Apr 2009 - Apr 2016
    Palo Alto, California, United States
    • Developed a GPU-accelerated graph layout plugin(AllegroLayout) for Cytoscape, achieving a 50–200x acceleration in force-directed layout algorithms to support large-scale network visualization.• Developed a GPU-accelerated protein interaction clustering plugin (AllegroMCODE) for Cytoscape, resulting in a 200x increase in clustering speed for complex biological networks.• Built a real-time fingerprint search engine capable of processing 1 million fingerprints in 0.5 seconds using a… Show more • Developed a GPU-accelerated graph layout plugin(AllegroLayout) for Cytoscape, achieving a 50–200x acceleration in force-directed layout algorithms to support large-scale network visualization.• Developed a GPU-accelerated protein interaction clustering plugin (AllegroMCODE) for Cytoscape, resulting in a 200x increase in clustering speed for complex biological networks.• Built a real-time fingerprint search engine capable of processing 1 million fingerprints in 0.5 seconds using a single NVIDIA TESLA GPU, enabling scalable and efficient biometric identification. Show less
  • Npcore, Inc.
    Software Development Consultant
    Npcore, Inc. Feb 2009 - Apr 2013
    Seoul, South Korea
  • Samsung Electronics
    Senior Software Engineer
    Samsung Electronics Feb 2006 - Jul 2008
    Yongin-Si, South Korea (System Lsi Division)
    • Led the design and implementation of a match-on-card fingerprint recognition system optimized for low-power ARM processors, ensuring interoperability with BioAPI 2.0, CBEFF, and ISO standards.• Optimized fingerprint matching algorithms for embedded environments, improving performance and resource utilization.• Developed standardized ISO-compliant encoders/decoders and software APIs, enhancing data exchange and interoperability for biometric applications.
  • Zimocom Inc
    Lead Software Developer & Cofounder
    Zimocom Inc Mar 2003 - Jan 2006
    Seoul, South Korea
    • Developed a proxy server for virus filtering in email communications, providing automated protection without additional client software.• Implemented a Windows NDIS Intermediate Driver to support application-layer firewalls, enabling robust packet filtering and traffic management.
  • Nitgen
    Senior Algorithm Developer
    Nitgen Aug 2000 - Feb 2003
    Seoul, South Korea
    • Developed a fingerprint feature extraction algorithm and optimize the algorithm for ARM based embedded CPU.• Developed an automated quality assurance system for the lens assembly in the fingerprint sensor by using a computer vision technology.• Developed a quality measurement algorithm of fingerprint image.• Developed an automated fingerprint image quality classification system of test image sets for analysing the performance of fingerprint recognition algorithms.• Developed… Show more • Developed a fingerprint feature extraction algorithm and optimize the algorithm for ARM based embedded CPU.• Developed an automated quality assurance system for the lens assembly in the fingerprint sensor by using a computer vision technology.• Developed a quality measurement algorithm of fingerprint image.• Developed an automated fingerprint image quality classification system of test image sets for analysing the performance of fingerprint recognition algorithms.• Developed SecuSearch Engine which is an 1:N fingerprint matching engine and can match fingerprints at a speed of more than 10,000 matches/sec. Show less
  • Computer Vision Lab, Yonsei University
    Researcher
    Computer Vision Lab, Yonsei University Sep 1997 - Aug 2000
    Seoul, South Korea
    • Led fingerprint and iris recognition algorithm developments.• Developed a OCR system for the scanned images of low-quality credit card receipts.

Jun Sung Yoon Education Details

Frequently Asked Questions about Jun Sung Yoon

What is Jun Sung Yoon's role at the current company?

Jun Sung Yoon's current role is Computer Vision Engineer with Deep Learning & Image Processing Expertise and Cross-Domain Adaptability..

What schools did Jun Sung Yoon attend?

Jun Sung Yoon attended Yonsei University, Yonsei University, Yonsei University.

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