JeongChul Kim

Jeongchul Kim is an AI Platform Researcher at KT. His current research topic covers big data platforms, large-scale distributed computing resource manangement and cloud computing.

Education

He received the M.S. degree in the College of Computer Science at Kookmin Unveristy. He conducted research about Cloud Computing with his advisor Ph. D. Kyungyong Lee in the BigData lab. He received B.S. degree from Kookmin Unversity.

• Master's in Computer Science : March 2018 - February 2020
• Bachelor's in Computer Science : March 2010 - February 2018

Industry Experiences

• KT. Seoul. Korea. (2020 ~ ) AI Platform Researcher
• Devops Engineer and Cloud Researcher
• Viedo Analytics Model Serving : Deploying CNN Model service with k8s cluster(nvidia-docker with TensorFlow, redis), spring server
• WebRTC with k8s : Deploying Media server and Signal server with k8s cluster(nvidia-docker, redis) and Zookeeper

Research

• Serverless Computing 2018 - 2019
• Implemented FunctionBench : A suite of practical function workloads for public services in AWS, Google Cloud, Azure
• Evaluation network resource performance of functional execution models in FaaS environments (AWS Lambda)
• ABC2: Autonomic BigData Cloud Computing research project, 2016 - 2018
• Build autonomic cloud computing service that handles complex infrastructure configurations
• Implemented system that predicts latency of matrix multiplication of arbitrary shapes and sizes using various cloud computing resource configurations
• KEPCO(Korea Electric Power Corporation) Research Assistant, 2015 - 2016
• SangGi Lee, SeiYoon Lee , Jeongchul Kim. A Study on Security Vulnerability Management in Electric Power Industry IoT, Korea Digital Contents Society, 2016, 499-507(8 pages). pdf
• A Basic Study on the Lightweight Cryptography in Technology in Electric Power Industry on IoT. Jeongchul Kim, SeiYoon Lee, SangGi Lee, Proceedings of KIIT Conference, 2017, 5-6(2 pages). link

Publications

• Jeongchul Kim, and Kyungyong Lee, 'I/O Resource Isolation of Public Cloud Serverless Function Runtimes for Data-Intensive Applications', International Journal of Cluster Computing, Springer, Accepted, 2020 pdf


• Jeongchul Kim, Myungjun Son, and Kyungyong Lee, ‘MPEC: Distributed Matrix Multiplication Performance Modeling on a Scale-out Cloud Environment for Data Mining Jobs', IEEE Transcations on Cloud Computing (journal paper), Accepted, 2019 IEEE Document Paper Info pdf


• Jeongchul Kim, and Kyungyong Lee, ‘Practical Cloud Workloads for Serverless FaaS’, ACM Symposium on Cloud Computing 2019 (Poster paper), 10/2019 pdf


• Jeongchul Kim, and Kyungyong Lee, ‘FunctionBench : A Suite of Workloads for Serverless Cloud Function Service’, IEEE International Conference on Cloud Computing 2019 (WIP paper), 07/2019 IEEE Document Paper Info pdf github


• Jeongchul Kim, Jungae Park, and Kyungyong Lee, ‘Network Resource Isolation in Serverless Cloud Function Service’, AMGCC 2019 in IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)2019, 06/2019 IEEE Document Paper Info pdf github

Talks

• ‘Network Resource Isolation in Serverless Cloud Function Service’, AMGCC 2019 in conjunction with IEEE International Conference on Autonomic Computing 2019, June 2019, ppt
• UCI Global Research Project 'Stanford Parser Analyze Sentences and Tree Similarity', UCI, LA, February 2018 ppt

Other relevant experience

• Summer Accelerator School, Seoul National University, South, Korea, August 2018
• Learned the basics of accelerators, OpenCL, CUDA programming, and optimization techniques for accelerators
• UROP in UC Irvine, LA, USA, December 2017 ~ February 2018
• UROP(Undergraduate Research Opportunities Program) at the University of California, Irvine.
• Team Project - Stanford Parser Analyze Sentences and Tree Similarity ppt
• Term Project - Deep Learning Workload in Serverless Computing ppt github
• Korea ICT Volunteer World Friends, Ocnita, Moldova, June 2014 - September 2014
• World Friends Korea is the new name of the Korean government's overseas volunteer group that aims at helping people around the world.

Teaching experience

• Kookmin University, Seoul, South Korea
• Computer programming teaching assistant, March 2016-December 2019
• Assisted professor with teaching incoming freshmen Python, JavaScript, and MS Excel
• Samsung Architect Training Course, Gyeonngi-do, South Korea
• (Cloud) Assistant, April 2018, July 2019
• Assisted professor with helping Samsung developers learn Docker Container, Amazon Web Services(VPC, AutoScaling, CloudFront, CloudFormation, SQS), Hadoop, Hive, and MonogDB
• Samsung Cloud Server Advanced Course, Gyeonngi-do, South Korea
• (Cloud) Assistant, February 2018, May 2018, October 2018
• Assisted professor with helping Samsung developers learn Container, Amazon Web Services(Lambda, S3, DynamoDb, SNS, API GateWay), Hadoop, Hive, and MonogDB

Awards and Honors

• ACM Symposium on Cloud Computing Scholarships, October 2019
• application
• IoT Innovation Challenge 3rd Prize, Samsung, June 2017
• Smart Hubot
• KES 2017(Korea Electronics Show)
• youtube


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• IoT Innovation Challenge 1st Prize, Samsung, June 2016
• Smart Mirror
• KES 2016(Korea Electronics Show)
• Youtube Github
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• Smart Connected 1st Prize, Intel and KEA, June 2016
• Speech Recognition Smart Mirror and Android Application
• Raspberry PI, Web application(HTML, CSS, Javascript, JQuery), Google Cloud Speech API
• Youtube Github

Attend Conference

• ACM SoCC 2019, Santa Cruz, USA, Nov 2019
• IEEE ICAC 2019, Umea, Sweden, June 2019
• IEEE BIGDATA 2018, Seattle, WA, USA Dec 2018
• ACM International Conference on WSDM(Web Search and Data Mining) 2017, LA, USA, Jan 2018

Certification

• NVIDIA, Fundamentals of Accelerated Computing with CUDA Python, 2020/02, certificate number: 96352db608654083b2c808339f68f7e0

Technical skills

• Programming Languages: Python, Scala, OpenCL, Java, JavaScript, CSS
• Platforms: Linux, AWS, Azure, Google Cloud, Docker, Spark, Hadoop, Kubernetes