Advanced Battery Management System for Real-Time Flight Range Optimization and Stability Enhancement of AAM Aircraft with Non-intrusive Sensor Fusion and Battery Aging Diagnosis (08/2024 ~ Present)
(Project Budget: $4,500,000)
Korea Institute of Advancement of Technology (KIAT)
Project Scope: Development of a battery management system (BMS) for high-precision real-time diagnosis of the state and aging of AAM aircraft batteries using non-invasive sensors and sensor fusion technology, with a focus on optimizing flight range and enhancing safety.
A Manufacturing Monitoring System Using Sound Spectrograms and Artificial Intelligence (05/2024 ~ Present)
(Project Budget: $1,000,000)
U.S. National Science Foundation (NSF), SBIR Phase Ⅱ
Project Scope: Development of a novel sound sensor for capturing internal machine sounds and AI models trained on sound spectrograms for high-fidelity process monitoring.
Human Centric, Resilient, and Sustainable Cyber Physical System (CPS) for Future Factories (05/2024 ~ Present)
(Project Budget: $20,000)
Hitachi American Ltd.
Project Scope: Digitalization of operators’ motions during manufacturing tasks, aimed at identifying human skill levels using wearable sensor data analytics and physics-informed AI.
Development of Smart Manufacturing Multiverse Platform Based on Multisensory Fusion Avatar and Interactive AI (01/2024 ~ Present)
(Project Budget: $300,000)
Korea Evaluation Institute of Industrial Technology (KEIT)
Project Scope: Development of a smart manufacturing multiverse platform enabling immersive interactions between humans, robots, and machines, based on multisensory avatar robots, large language/vision model-based AI agents, and a factory-scale digital twin.
Development of AI-Based Robot Technology for Machining Chip Recognition and Removal (01/2024 ~ Present)
(Project Budget: $250,000)
Korea Institute of Machinery & Materials (KIMM)
Project Scope: Development of an autonomous robotic system that adaptively recognizes and removes the machining chips in CNC machines, enabled by AI agents trained in digital twin.
Expert Skill Digitalization and Skill Transfer to Robots Using Immersive & Interactive Cyber-Physical System (I2CPS) (05/2024 ~ 09/2024)
(Project Budget: $120,000)
U.S. Department of Energy - Clean Energy Smart Manufacturing Innovation Institute, Smart Manufacturing Innovation Center
Project Scope: Digitalization of human expert skills and transfer of this knowledge to robots using cyber-physical systems and deep learning models, enabling reliable and robust robotic automation of manufacturing tasks.
Privacy Preserving Tiny Machine Learning Edge Analytics to Enable AI-Commons for Secure Manufacturing (03/2023 ~ Present)
(Project Budget: $3,000,000)
U.S. National Science Foundation, FMRG: Manufacturing USA
Project Scope: Optimization of the IoT-based Tiny Machine Learning (TinyML) framework and design of privacy and confidentiality policies for an AI-Commons, demonstrating the data aggregation and predictive technical cost modeling for foundational manufacturing processes.
Immersive & Interactive Cyber-Physical System Utilizing AI/ML To Train, Operate and Optimize Machine Vision Guided Sealant Robot (03/2023 ~ 05/2024)
(Project Budget: $275,000)
U.S. Air Force SBIR AF21B Phase 2
Project Scope: Collaboration with BCI company to automate the sealing process using digital twin-integrated collaborative sealant robots equipped with multi-vision systems and intelligent AI agents.
Characterization, Analysis, and Improvement of On-Body Injection Delivery System (03/2023 ~ 05/2024)
(Project Budget: $430,000)
AbbVie
Project Scope: Analysis and modeling of the mechanical/electrical characteristics of the automatic on-body delivery system (OBDS), with a focus on optimizing its efficiency.
Development of Hybrid 3D Printing Machine for Large Scale Additive Manufacturing and Machining Process of CFRP Lightweight Parts (03/2023 ~ 12/2023)
(Project Budget: $3,000,000)
Korea Evaluation Institute of Industry Technology (KEIT)
Project Scope: Development of a hybrid (AM+SM) CFRP manufacturing system for large-scale, high flexible parts, including the generation of optimal printing/machining paths using AI simulations and the development of process monitoring and defect predictive models.
Development of In-Vehicle Odor Diagnosis Technology Using Machine Learning (08/2021 ~ 03/2022)
(Project Budget: $43,000)
Hyundai Motor Company
Project Scope: Analysis of odor sensor data collected from inside of automobiles, including quantification, standardization, and AI model construction for in-vehicle odor monitoring.
Development of AI Based Real-Time Cable Condition Diagnosis and Spectral Data Analysis Technologies (06/2021 ~ 05/2022)
(Project Budget: $127,000)
LS Cable & System
Project Scope: Development of real-time health monitoring and diagnosis software for the repeatedly moving cables, based on current and spectral data analytics and deep learning.
Development of Intelligent Blow Molding System with Selective Non-Conformal Surface Temperature Control (04/2021 ~ 12/2022)
(Project Budget: $3,000,000)
Korea Evaluation Institute of Industrial Technology (KEIT)
Project Scope: Development of adaptive blow molding equipment and systems that enhance the quality of complex shape products and production efficiency through AI-based control of selective non-conformal surface temperatures.
Digital Twin for Mechatronics-Based Smart Manufacturing (06/2020 ~ 05/2021)
(Project Budget: $300,000)
Korean Institute for Information & Communications Technology Planning & Evaluation (IITP)
Project Scope: Development of a digital twin using mechatronic systems that incorporates embedded sensors, IoT devices, and AI models into industrial robots and machine tools.
Development of Smart Textronic Products Based on Electronic Fibers and Textiles (01/2019 ~ 12/2021)
(Project Budget: $900,000)
Korea Institute of Industrial Technology (KITECH)
Project Scope: Development of high-fidelity electronic fibers for smart textronic products and their smart manufacturing framework, where vision-based robotic systems automatically and adaptively recognize, grasp, and transfer textiles.
Development of Vibroacoustic Stiffness Test Algorithm (04/2021 ~ 12/2022)
(Project Budget: $52,000)
Samsung Electronics
Project Scope: Development of an automated TV assembly quality inspection system based on multiple machine learning models trained on vibroacoustic sensor data.
Development of Deterioration Analysis Algorithm for Electric Door Failure Prediction (10/2020 ~ 10/2021)
(Project Budget: $65,000)
Hyundai Rotem
Project Scope: Development of failure prediction and monitoring algorithms for subway train electric doors, based on multi-sensor data analytics and machine learning.
Development of User-Centered Smart Metal 3D Printing (09/2018 ~ 08/2021)
Technology Based on Cyber-Physical Platform
(Project Budget: $630,000)
National Research Foundation (NRF) of Korea
Project Scope: Development of a direct energy deposition (DED)-based smart additive manufacturing system, via AI-guided process optimization and digital twin integration.
Development of Prognostics and Quality Improvement Technologies for Enhancing Productivity and Yield Rate of Automobile Components by Minimizing Downtime of Manufacturing Robots/Process Equipment (12/2016 ~ 12/2021)
(Project Budget: $1,100,000)
Korea Evaluation Institute of Industrial Technology (KEIT)
Project Scope: Development of a real-time prognostics and health management (PHM) and cyber physical system (CPS) platform for robotic spot-welding processes and equipment, utilizing multi-sensor networks, data analytics, deep learning, and digital twin technology.
Development of IoT (Internet of Things) Based Machine Tool Prognostics and Health Management (PHM) Technology (05/2016 ~ 04/2017)
(Project Budget: $50,000)
Hyundai WIA
Project Scope: Development of methodologies and software for sensor selection, data acquisition, and AI modeling for CNC machine fault diagnosis and predictive maintenance.
Development of IoT based Smart Embedded System for Process Monitoring and Diagnosis of Machine Tool (06/2015 ~ 05/2016)
(Project Budget: $63,000)
Korea Small and Medium Business Administration
Project Scope: Development of hardware and software integrated systems for CNC data communication and IoT-based embedded devices equipped with machining process monitoring and diagnosis programs.