Hyungsik Shin

Short Bio

Hyungsik Shin received his B.S. degree in Electrical Engineering from Seoul National University in 2003. He received his M.S. and Ph.D. degrees in 2005 and 2011 from Stanford University in Electrical Engineering, where he was a member of the Information Systems Laboratory. He joined Docomo Innovations, Inc. in 2011 where he was a Research Engineer in the Open Service Innovation Group. At Docomo Innovations, he was one of the lead engineers of machine learning and natural language processing projects. Hyungsik Shin is currently an associate professor at the School of Electronic and Electrical Engineering, Hongik University, Seoul, Republic of Korea.

Research Interests

• Data Science, Artificial Intelligence, and Machine Learning

• Control Theory

Education

• Ph.D. in Electrical Engineering, Stanford University, 2011

• M.S. in Electrical Engineering, Stanford University, 2005

• B.S. in Electrical Engineering, Seoul National University, 2003

Journal Publications

• Automatic Extraction of Text Topic by Using Wikipedia, H. Shin, JKIICE, Feb 2023

• A Graph-Cut-Based  Approach to Community Detection in Networks, H. Shin, J. Park, and D. Kang, Applied Sciences, Jun 2022

• Backlight Unit Excessive Dimming based on Perceptual Image Analysis, S. Yang, H. Shin, and J. You, Applied Sciences, Jan 2021

• A Model for Deriving Trust and Reputation on Blockchain-Based e-Payment System, J. Ahn, M. Park, H. Shin, J. Paek, Applied Sciences, Dec 2019

• Measurements of Encryption and Decryption Times of AES and LEA Algorithms on an Arduino MCU, Y. Kwon, H. Shin, Journal of IKEEE, Sep 2019

• Lightweight Server-Assisted H-K Compression for Image-Based Embedded Wireless Sensor Network, Y. Song, H. Shin, and J. Paek, IEEE Systems Journal, Jun 2019

• Automatic Task Classification via Support Vector Machine and Crowdsourcing, H. Shin and J. Paek, Mobile Information Systems, May 2018

• Adjustment of Korean Birth Weight Data, H. Shin, JKIICE, Feb 2017

• A Measurement Study of BLE iBeacon and Geometric Adjustment Scheme for Indoor Location-Based Mobile Applications, J. Paek, J. Ko, and H. Shin, Mobile Information Systems, Oct 2016

• Decentralized Control via Groebner Bases and Variable Elimination, H. Shin and S. Lall, IEEE Transactions on Automatic Control, Apr 2012

Conference Publications

• IoT Security Issues and Light Weight Block Cipher, H. Shin, H. K. Lee, H. Cha, S. W. Heo and H. Kim, ICAIIC2019

• Scalable Web Content Understanding Framework, Y. Sun, H. Shin, S. Mukherjee, R. Sujithan, H. Yin, Y. Akinaga, and P. Subasic, ICIW2014, Best paper award

• An Approximate Dynamic Programming Approach to the Dynamic Traveling Repairperson Problem, H. Shin and S. Lall, IEEE CDC2010

• Optimal Decentralized Control of Linear Systems via Groebner Bases and Variable Elimination, H. Shin and S. Lall, ACC2010

Patents

• Generating resources for support of online services, P. Subasic, H. Shin, R. Sujithan, H. Yin, S. Mukherjee, Y. Akinaga, US 9646099

• Automatic task classification based upon machine learning, H. Shin, R. Sujithan, S. Mukherjee, H. Yin, Y. Sun, Y. Akinaga, and P. Subasic, US 9471887

• System and method for population tracking, counting, and movement estimation using mobile operational data and/or geographic information in mobile network, H. Shin, M. Miyake, and F. Watanabe, US 8504035

Professional Experiences

• Associate professor, Hongik University, 2016 - current

• Research engineer, Docomo Innovations, Inc.,  2011 - 2016

• Research assistant, Stanford University, 2007 - 2011

• Research intern, Docomo Innovations, Inc., 2010