Jong Hwan Ko Email & Phone Number
area 201
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Who is Jong Hwan Ko? Overview
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Jong Hwan Ko is listed as Assistant Professor at 성균관대학교, based in South Korea, Korea, Korea, Republic Of. AeroLeads shows phone signal with area code 201 and a matched LinkedIn profile for Jong Hwan Ko.
Jong Hwan Ko previously worked as Senior Researcher at Agency For Defense Development and Research Assistant at Georgia Institute Of Technology. Jong Hwan Ko holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering, 4.0/4.0 from Georgia Institute Of Technology.
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About Jong Hwan Ko
I have joined the college of information and communication engineering (정보통신대학 전자전기공학부) at SungKyunKwan University (SKKU, 성균관대) as an assistant professor in March 2019.My research focuses on design of efficient hardware and algorithm for image/audio processing, at the intersection of conventional signal processing and recent deep learning techniques.
Listed skills include Deep Learning, Tensorflow, Caffe, Cntk, and 12 others.
Jong Hwan Ko's current company
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Jong Hwan Ko work experience
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Assistant Professor
Current
Senior Researcher
- 16 publications (5 Journals, 11 Conferences), 5 patents, 6 SW copyrights
- Tactical Information and Communication Network (TICN) - Conducted quality-of-service analysis and traffic optimization of multimedia data in distributed networks - Proposed enhanced signaling/routing protocols for.
- Tactical Embedded Platform for Communication and Control of Unmanned Vehicles - Performed initial idea development, proposal writing, and project management as a project lead - Designed an energy-efficient RF module.
Research Assistant
- OROEB: On-line Real-time Optimal Energy Balancing for a Self-Powered Environment Adaptive Sensor Node - Managed project objectives and led team members as a project leader - Designed scalable and adaptive image.
- Energy-efficient and robust deep learning for edge devices - Designed a weight compression method based on an adaptive image encoding for lower memory requirement - Proposed an entire frequency-domain convolution.
- CAMEL: Camera Adaptation with Embedded Machine Learning based Feedback Control - Studied the effect of multi-quality coded images on the classification accuracy of deep neural networks - Investigating feedback control.
Research Intern
Research Assistant
- Low-Power/High-Performance Flash Memory Controller - Designed a low-power filesystem (flash memory translation layer) and firmware for a flash memory controller - Studied the effect of different write-back schemes on.
- Real-time Scheduler and Execution Time Analysis Tool - Developed a software for task scheduling of an engine control unit
Visiting Researcher
- Worst Case Execution Time (WCET) Analysis for Real-Time Systems - Participated in a project for WCET analysis tool development
Jong Hwan Ko education
Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering, 4.0/4.0
Master'S Degree, Electrical Engineering And Computer Science, 4.0/4.0
Bachelor'S Degree, Mechanical And Aerospace Engineering, Graduated With Honors
Bachelor'S Degree, Computer Science And Engineering
Frequently asked questions about Jong Hwan Ko
Quick answers generated from the profile data available on this page.
What company does Jong Hwan Ko work for?
Jong Hwan Ko works for 성균관대학교.
What is Jong Hwan Ko's role at 성균관대학교?
Jong Hwan Ko is listed as Assistant Professor at 성균관대학교.
What is Jong Hwan Ko's phone number?
AeroLeads has found 2 phone signal(s) with area code 201 for Jong Hwan Ko at 성균관대학교.
Where is Jong Hwan Ko based?
Jong Hwan Ko is based in South Korea, Korea, Korea, Republic Of while working with 성균관대학교.
What companies has Jong Hwan Ko worked for?
Jong Hwan Ko has worked for 성균관대학교, Agency For Defense Development, Georgia Institute Of Technology, 마이크로소프트, and Seoul National University.
How can I contact Jong Hwan Ko?
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What schools did Jong Hwan Ko attend?
Jong Hwan Ko holds Doctor Of Philosophy (Ph.D.), Electrical And Computer Engineering, 4.0/4.0 from Georgia Institute Of Technology.
What skills is Jong Hwan Ko known for?
Jong Hwan Ko is listed with skills including Deep Learning, Tensorflow, Caffe, Cntk, Theano, Python, Matlab, and Verilog.
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