I received the B.Eng. degree in software and computer engineering from Ajou University, Suwon, South Korea, in 2017. I am a Ph.D. student in the Department of Computer Engineering at Ajou University. I am also a member of the Ajou Embedded Inteligent System (AEIS) lead by Dr. JeongGil Ko. My research interests include embedded learning system, mobile computing and healthcare applications. (email: email@example.com)
- Intelligent Systems
- Embedded learning system
- Deep learning lightweight
- Mobile computing
- Wearable device
- Sensor data analysis
- Healthcare application
- Bio signal analysis
- Predict symptoms from time-series data
- Study for a Ph.D.’s degree in Computer Engineering; Ajou University (Feb 2017 ~ )
- B.S. in Software and Computer Engineering; Ajou University (Mar 2010 ~ Feb 2017)
- Intern, LiveLabs in Singapore Management University ( Jan 2017 ~ Feb 2017 )
- Intern, Korea Electronics Technology Institute (Jun 2016 - Aug 2016)
- Intern, AEIS Laboratory (Jan 2016 ~ Feb 2017)
- Jungmo Ahn, Huynh Nguyen Loc, Rajesh K. Balan, Youngki Lee, JeongGil Ko. “Finding a Lesion in a Poostack: Challenges in Endoscopy Image-based Learning Systems”, IEEE Computer, Special Issue on Mobile and Embedded Deep Learning, 2018.
- Jungmo Ahn, JaeYeon Park, Donghwan Park, Jeongyeup Paek, JeongGil Ko. “Convolutional Neural Network-based Classification System Design with Compressed Wireless Sensor Network Images”, PLOS One, 2018.
- Ho-Kyeong Ra, Jungmo Ahn, Hee Jung Yoon, Dukyong Yoon, Sang Hyuk Son, JeongGil Ko. “I am a Smartwatch, Smart Enough to Know the Accuracy of My Own Heart Rate Sensor”, ACM International Workshop on Mobile Computing Systems and Applications (ACM HotMobile) 2017, Sonoma CA.[slides]
- Ho-Kyeong Ra, Jungmo Ahn, Hee Jung Yoon, JeongGil Ko, and Sang Hyuk Son. “Poster Abstract: Accurately Measuring Heart Rate Using Smart Watch.”, ACM Conference on Embedded Networked Sensor Systems (SenSys), CA, USA, Nov. 2016.
- Ho-Kyeong Ra, Jungmo Ahn, Hee Jung Yoon, JeongGil Ko, Sang Hyuk Son. “Accurately Measuring Heart Rate using Smart Watches”, IEEE International Conference on Embedded Real-time Computing Systems and Applications (IEEE RTCSA) 2016, WiP, Daegu, Korea.
- Jungmo Ahn, Jeongyeup Paek JeongGil Ko. “Machine-learning-based Image Classification for Wireless Camera Sensor Networks”, IEEE International Conference on Embedded Real-time Computing Systems and Applications (IEEE RTCSA) 2016, WiP, Daegu, Korea.
- 광용적맥파 센서를 이용한 심박수 측정 방법, 이를 이용하는 심박수 측정 장치 및 웨어러블 디바이스 (출원) (10-2017-0054652) - 2017.04
고정길, 손상혁, 윤희정, 안정모, 나호경
- Advanced to the finals in the Naver D2 Campus Fest 2015