Jungmo Ahn

• 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

[Google Scholar] 

Journal and Magazine Articles

• Jungmo Ahn, Sung Sik Lee, Kyu-Hyuk Lee, Heesung Do, and JeongGil Ko, “SafeFac: Video-based Smart Safety Monitoring for Preventing Industrial Work Accidents”, Expert Systems with Applications (Under Review)

• Jungmo Ahn, Hyungi Kim, Eunha Kim, JeongGil Ko. “Server Load and Network-aware Adaptive Deep Learning Inference Offloading for Edge Platforms”, Internet of Things (Accepted for Publication). (JCR IF Top 25%)

• 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, 2020. (JCR IF Top 5%) 

• Jungmo Ahn, Hyungi Kim, Eunha Kim, JeongGil Ko. “VOCkit: A Low-Cost IoT Sensing Platform for Volatile Organic Compound Classification”, Ad Hoc Networks, 2020. (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, Hyungi 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, Hyungi 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]

Poster, Demonstration and WiP Abstracts

• 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.