About
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 Artificial Intelligence at Ajou University. I am a member of the Embedded Inteligent System (EIS) lead by Dr. JeongGil Ko. I am also a member of the Computer Systems Lab (CSL) lead by Dr. Jeongseob Ahn. My research interests include embedded learning system, intelligent IoT, mobile computing & application. (email: ajm100@ajou.ac.kr)
Research Interests
- Intelligent Systems & Intelligent Internet of Things
- Embedded learning system
- Deep learning lightweight
- Collaborative Inference
- Mobile computing & application
- Wearable device
- Sensor data analysis
- Healthcare application
- Bio signal analysis
- Predict symptoms from time-series data
Education
- 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)
Career
- 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)
Research Projects
- Research on Scalable and Efficient DNN Serving System for Heterogeneous Servers, NAVER Clova, 2020
- Accurate Human Identification Using Embedded Cameras for Smart Factory Management, System R&D, 2020
- Developing platform technology with fluorescent-pattern generating array using mobile devices and machine learning for VOC recognition, Ajou University, 2018
- Microscopic Diagnosis System Development Research Center, ITRC, 2018
- Identifying Unmet Requirements for Future Wearable Devices in Designing Autonomous Clinical Event Detection Applications, DGIST, 2017
Publications
[Google Scholar profile]
Journal Papers
- Hyungi Kim, Sang-Kee Choi, Jungmo Ahn (co-first author), Hojeong Yu, Kyoungha Min, Changgi Hong, Ik-Soo Shin, Sanghee Lee, Hakho Lee, Hyungsoon Im, JeongGil Ko, Eunha Kim. “Kaleidoscopic Fluorescent Arrays for High-multiplexed Point-of-Care Chemical Sensing”, Sensors & Actuators, B: Chemical (Under Review)
- Jungmo Ahn, Sung Sik Lee, Kyu-Hyuk Lee, Heesung Do, and JeongGil Ko, “SafeFac: Video-based Smart Safety Monitoring for Preventing Industrial Work Accidents”, IEEE Transactions on Systems, Man, and Cybernetics: Systems (Under Review)
- Jungmo Ahn, Hyungi Kim, Eunha Kim, JeongGil Ko. “VOCkit: A Low-Cost IoT Sensing Platform for Volatile Organic Compound Classification”, Ad Hoc Networks, 2020 (Accepted for Publication). (JCR IF Top 25%)
- Jungmo Ahn, Ho-Kyeong Ra, Hee Jung Yoon, Sang Hyuk Son, JeongGil Ko. “On-device Filter Design for Self-identifying Inaccurate Heart Rate Readings on Wrist-worn PPG Sensors”, IEEE Access, 2020. (JCR IF Top 25%)
- Jungmo Ahn, Huynh Nguyen Loc, Rajesh K. Balan, Youngki Lee, JeongGil Ko. “Finding Small-Bowel Lesions: Challenges in Endoscopy-Image-Based Learning Systems”, IEEE Computer, Special Issue on Mobile and Embedded Deep Learning, 2018. (JCR IF Top 25%)
- 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.
Conference Papers
- Jungmo Ahn, Hyunggi Kim, Eunha Kim, JeongGil Ko. “Designing a Low-Cost IoT Sensing Platform for VOC Material Classification”, IEEE International Conference on Distributed Computing in Sensor Systems (IEEE DCOSS) 2019, Santorini Island, Greece., Selected as Fast Track Paper to Ad Hoc Networks Journal
- Jungmo Ahn, Hyunki Kim, Eunha Kim, JeongGil Ko. “Volatile Organic Compounds Recognition Using a Smartphone Camera and Fluorometric Sensors”, International Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD ‘18) (co-located with ACM Ubicomp) 2018. Singapore.
- 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]
Demo/Posters
- 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.
Patents
- 광용적맥파 센서를 이용한 심박수 측정 방법, 이를 이용하는 심박수 측정 장치 및 웨어러블 디바이스 (등록) (10-2017-0054652) - 2017.04
고정길, 손상혁, 윤희정, 안정모, 나호경
Awards and Honors
- Global Ph.D. Fellowship, NRF, 2018 -
- Research project: Designing a Framework for Embedded Learning Systems