Deep Learning Researcher
Current• Researched on core deep learning algorithms for visual inspection system used in the manufacturing industry.
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@cognex.com
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1 phone found area 919
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Junghoon Kang is listed as Deep Learning Researcher at Cognex Corporation, a with 1939 employees, based in South Korea, Korea, Republic of. AeroLeads shows a work email signal at cognex.com, phone signal with area code 919, and a matched LinkedIn profile for Junghoon Kang.
Junghoon Kang previously worked as Deep Learning Research Engineer at Sualab and Teaching Assistant at Duke University. Junghoon Kang holds Master'S Degree, Computer Science from Duke University.
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I am currently working at Cognex as a Deep Learning Researcher.My areas of interest are distributed systems and deep learning in vision recognition.
Listed skills include C, Python, Bash, Scala, and 33 others.
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Seocho District, Seoul, South Korea
• Researched on core deep learning algorithms for visual inspection system used in the manufacturing industry.
Seocho District, Seoul, South Korea
• Acquired by Cognex Corporation in October 2019.• Researched on core deep learning algorithms for visual inspection system used in the manufacturing industry.
Raleigh-Durham, North Carolina Area
• Data Intensive Computing Systems (CS516) ----------------------------------------- Aug 2016 - Dec 2016• Data Intensive Computing Systems (CS516) ----------------------------------------- Jan 2016 - May 2016• Data Engineering (CS290.01) ------------------------------------------------------------ Aug 2015 - Dec 2015• Lectured, provided tutorials/assignments, evaluated assignments/exams, and held office hours.
Raleigh-Durham, North Carolina Area
• Researched on finding an optimal memory configuration for Apache Spark applicationsby tuning different memory parameters and using different storage mediums.• Wrote a program that generates memory utilization metrics for Spark applications, in-cluding garbage collections and JVM heap usage in each of the different Spark’s internalmemory fractions.
Berkeley, Ca, Usa
• Worked under Professor John D. Kubiatowicz, The Tessellation Operating System.• Ported one of PARSEC benchmark applications to the Tessellation.• Implemented test cases for synchronization primitives operating under cell resizingevents.
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Lennart Maar
Colleague at Cognex CorporationKarlsruhe, Baden-Württemberg, Germany
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Holly Ventura
Colleague at Cognex CorporationNatick, Massachusetts, United States
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Eric Moore
Colleague at Cognex CorporationBoulder, Colorado, United States
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William Abernathy
Colleague at Cognex CorporationMason, Ohio, United States
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Alec Somers
Colleague at Cognex CorporationGreater Boston, United States
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Marina Alarcon
Colleague at Cognex CorporationSpain
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Williams Robert
Colleague at Cognex CorporationNatick, Massachusetts, United States
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Lynn Yang
Colleague at Cognex CorporationChangning District, Shanghai, China
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Ravi Patil
Colleague at Cognex CorporationUnited States
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Stacey Schnee
Colleague at Cognex CorporationNatick, Massachusetts, United States
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Quick answers generated from the profile data available on this page.
Junghoon Kang works for Cognex Corporation.
Junghoon Kang is listed as Deep Learning Researcher at Cognex Corporation.
AeroLeads has found 1 work email signal at @cognex.com for Junghoon Kang at Cognex Corporation.
AeroLeads has found 1 phone signal(s) with area code 919 for Junghoon Kang at Cognex Corporation.
Junghoon Kang is based in South Korea, Korea, Republic of while working with Cognex Corporation.
Junghoon Kang has worked for Cognex Corporation, Sualab, Duke University, Amazon Web Services, and Uc Berkeley.
Junghoon Kang's colleagues at Cognex Corporation include Lennart Maar, Holly Ventura, Eric Moore, William Abernathy, and Alec Somers.
You can use AeroLeads to view verified contact signals for Junghoon Kang at Cognex Corporation, including work email, phone, and LinkedIn data when available.
Junghoon Kang holds Master'S Degree, Computer Science from Duke University.
Junghoon Kang is listed with skills including C, Python, Bash, Scala, Java, Linux, Aws Ecs, and Aws Ec2.
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