Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
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- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
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- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
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Hyochan An
Affiliation
Department of Electrical and Computer Engineering, University of Michigan, MI, USA
Topic
Energy Efficiency,Convolutional Layers,Convolutional Neural Network,Fully-connected Layer,Neural Engineering,Neural Network,Change Detection,Datapath,Power Consumption,Audio Interface,Clock Frequency,Deconvolution,Deep Neural Network,Depthwise Convolution,Energy Consumption,Feature Maps,Low-pass,Neural Network Processing,Non-volatile Memory,Non-zero Weights,Pipelining,Power Gating,Power Overhead,Pulse Width,Reconfigurable Filter,Serial Peripheral Interface,Sharp Transition,Sound Processor,Sparse Weight,Top Left,Transconductance,Vision Tasks,Adder Tree,Analog-to-digital Converter,Application Programming Interface,Arbitrary Region,Artificial Neural Network,Autonomous Navigation,Band Power,Blackrock Microsystems,Caching,Clock Cycles,Closed-loop Control,Common Average Reference,Common-mode Voltage,Compression Ratio,Constant Factor,Controller Area Network,Convolution,Convolution Operation,
Biography
Hyochan An (Student Member, IEEE) received the B.S. degree in electrical and computer engineering from Sungkyunkwan University, Seoul, South Korea, in 2014. He is currently pursuing the Ph.D. degree with the University of Michigan, Ann Arbor, MI, USA.
From 2014 to 2017, he was a Digital Circuit Engineer with Digital IP Development Team, Samsung Electronics, Hwasung, South Korea. His research interests are energy-efficient deep learning hardware, image signal processors, and neural prosthetic systems.
Mr. An was a recipient of the Doctoral Fellowship from the Kwanjeong Educational Foundation in Korea.
From 2014 to 2017, he was a Digital Circuit Engineer with Digital IP Development Team, Samsung Electronics, Hwasung, South Korea. His research interests are energy-efficient deep learning hardware, image signal processors, and neural prosthetic systems.
Mr. An was a recipient of the Doctoral Fellowship from the Kwanjeong Educational Foundation in Korea.