Faculty

We explores the physics and technology of nanoelectronic devices and is interested in working at the junction between physical modeling and machine learning in order to fully exploit their combined strengths to address many engineering problems with competing multi-objectives and of such large scale and complexity.

– Curriculum Vitae

• 2022-Present: Associate Professor, UNIST
• 2003-2007, 2012-2022: Principal Engineer, Samsung Electronics

– Academic Credential

• 2012: Ph.D., Electrical and Computer Engineering, Purdue University
• 2001: M.S.,  Materials Science and Engineering, Seoul National University
• 1999: B.S., Materials Science and Engineering, Seoul National University

– Research  Keywords and Topics

Physics and technology of nanoelectronic materials and devices, Physical simulation and machine learning based design

– Publications (selected)   

• “Bridging TCAD and AI: Its Application to Semiconductor Design.”, C. Jeong et al., IEEE Transactions on Electron Devices 2021, 68(11), 5364–71
• “Restructuring TCAD System: Teaching Traditional TCAD New Tricks.”, S. Myung, et al., IEEE International Electron Devices Meeting,  2021, 18.2.1-18.2.4,
• “Prediction and Interpretation of Polymer Properties Using the Graph Convolutional Network”, J. Park et al., ACS polymers,  2022, 2(4), 213-222

“PAC-Net: A Model Pruning Approach to Inductive Transfer Learning”, S. Myung, et al., International Conference on Machine Learning,  2022, 16240-16252