Projects

Ministry of Science and ICT (과학기술정보통신부),
2025/4-2028/12 (45 months),
Co-PI (공동연구개발기관 연구책임자)

Develop collaborative perception technologies for service environments and behavior generation/response technologies for mission execution based on mutual information sharing among multiple heterogeneous on-device AI objects, followed by technical verification in real operational environments

NRF (한국연구재단),
2025/3-2027/8 (30 months),
Faculty member (참여교수)

Cultivate world-class professionals in the AIoT-energy convergence technology field and driving innovation in the new energy industry by fostering interdisciplinary R&D talent to lead the next-generation energy sector

Ministry of Trade, Industry, and Energy (산업통상자원부),
Phase 1, 2022/4 - 2024/12 (33 months)
Phase 2, 2025/1 - 2028/12 (48 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

Ministry of Science and ICT (과학기술정보통신부),
2022/4 - 2026/12 2024/12 (57 33 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

Soonchunhyang University
(대전세종충남 지역혁신플랫폼 연구과제),
2021/6 - 2026/2 2025/2 (57 45 months),
Researcher (참여연구원)

Develop AIoT-based mobility interaction technologies

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

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

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

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

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

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