Projects
Ongoing projects
Consortium:
Sejong Univ (세종대학교, 주관기관), Yonsei Univ (연세대학교), Kwangwoon Univ (광운대학교), Soonchunhyang Univ (순천향대학교), N2M (엔투엠), Byda (바이다)
Connected Intelligent Sensor Platform for Network-based Sensing System
Ministry of Trade, Industry, and Energy (산업통상자원부),
2022/4-2028/12 (81 months),
Co-PI (공동연구개발기관 책임자)
Develop an intelligent sensing platform that supports an entire pipeline ranging from sensor and network to analysis and learning, named SML (see-model-learn) platform; for that, develop a variety of technological components, including connected physical & virtual sensors, intelliSense networks, data processing, optimization engine, data broker, and machine learning engines
Consortium:
KETI (한국전자기술연구원, 주관기관), Jeju Univ (제주대학교), Soonchunhyang Univ (순천향대학교), Yujin Robot (유진로봇), Elcomtech (엘컴텍), Nepes (네페스)
Cooperative Intelligence Framework of Scene Perception for Autonomous IoT Devices
Ministry of Science and ICT (과학기술정보통신부),
2022/4-2026/12 (57 months),
Co-PI (공동연구개발기관 연구책임자)
Develop an inference engine that is aware of complex situations by sharing local context-aware information among multiple autonomous IoT devices; for that, develop an on-device data preprocessing technology based on real-time, streaming data fusion from multi-modal sensors, including LiDARs, cameras, and other heterogenous sensors
AIoT-based Mobility Interaction System
Soonchunhyang University
(대전세종충남 지역혁신플랫폼 연구과제),
2021/6-2026/2 (57 months),
Researcher (참여연구원)
Develop AIoT-based mobility interaction technologies
Completed projects
Learning System based on oneM2M Platforms for Recognizing Users' Context
NRF (한국연구재단),
2020/6-2023/5 (36 months),
PI (연구책임자)
Develop a context-aware system based on various sensors, oneM2M software platforms, and machine learning and deep learning techniques
Comparative Analysis of Healthcare Wearable Devices
Korea NIH (질병관리청 국립보건연구원),
2022/3-2023/3 (12 months),
PI (연구책임자)
Collect raw data from 300 human subjects wearing healthcare wearables and mobile devices during 2 months, perform a comparative analysis on analyzing lifelog from the collected data sets, and finally propose appropriate use of wearables and mobile devices for healthcare
Healthcare Application using Physiological Data and Learning Systems
Soonchunhyang University
(순천향대학교 SW중심대학 산학공동프로젝트),
2022/3-2022/11 (9 months),
PI (연구책임자)
Develop a data collection apparatus for collecting physiological signals such as PPG and ECG and propose healthcare applications by analyzing time-series physiological data and training machine learning and deep learning models
Development of strategic plan to collect and utilize vital recorder data
Korea NIH (질병관리청 국립보건연구원),
2021/3-2021/12 (10 months)
Establish a systematic way of collecting, standardizing, storing, and accessing physiological signal data, and develop useful scenarios utilizing physiological signals in medical fields and validate the constructed system
Machine learning-based resource management for disposable IoT devices
KETI (한국전자기술연구원),
2021/5-2021/11 (7 months)
Develop a machine learning-based optimal procedure to manage resources in tiny, disposable IoT devices by analyzing resource usage patterns (including, CPU, memory, network bandwidth, etc) and then adjusting their priorities accordingly
LoRa-based IoT Campus Service Using oneM2M Standard Platforms
NRF (한국연구재단),
2017/6-2020/5 (36 months)
Develop particulate matter (PM) monitoring and forecasting system based on low-cost PM sensors, commercially available off-the-shelf LoRa-based hardware boards, and oneM2M software platforms