The members in our group hold a wide variety of research interests from embedded systems to graphics design. We encourage ideas from different disciplines to diverge our research domain, but our group's core research focuses on the following areas. 

  • Intelligent medical systems
    • The goal of our intelligent medical systems research is in assisting clinicians and medical staff in the patient monitoring process and clinical diagnosis. Our work in this domain focuses on collecting and analyzing medical data from hospitals and from wearable healthcare platforms to gain a comprehensive view of patients and their symptoms. Our partnership with the Ajou University Hospital and the School of Medicine allows us access to both clinical and biosignal data (with IRB approval) from real patients. 

  • Low-power embedded systems and cyber physical systems
    • Miniaturized sensors collected to low-power embedded platforms will play a critical role in collecting data from the real-world in a scale that was previously impossible. Our research focuses on maximizing the capabilities of low-power, resource-limited computing platforms so that they can independently play a critical role in not only capturing the environmental characteristics, but also in autonomously analyzing and adjusting the physical world. 
      • SecureIoT (Certificate-based Security for Resource Constraint Internet of Things)

  • Smart devices and systems
    • Smart devices today typically refer to computing platforms such as smart phones, watches or glasses. On one perspective we are looking into how we can improve the sensing capabilities of these smart devices, by developing algorithms to calibrate the low-quality sensing data that these platforms currently provide. On another perspective, our group is performing research on designing new smart device platforms that can assist a larger population, especially for the socially weak. 

On-going Projects (Funded)

We are fortunate enough to receive support from many institutions for conducting exciting research activities!
  • Identifying Unmet Requirements for Future Wearable Devices in Designing Autonomous Clinical Event Detection Applications
    • Duration: 2016.05 - 2018.04
    • Principle Investigator
    • Funding Agency: CPS Global Center, Daegu-Gyeongbuk Institute of Science and Technology (DGIST)
      • Development of a Sepsis Prediction Model with Biosignal and Clinical Big Data
        • Duration: 2016.04 - 2018.12
        • Co-Principle Investigator
        • Funding Agency: Korea Health Industry Development Institute, Ministry of Health and Welfare, Republic of Korea
      • Certificate-based Security for Resource-Constrained Internet of Things (Eurostars-2 Project) [Website]
        • Duration: 2016.09 - 2019.08
        • International Collaborators: Swedish Institute of Computer Science, Technology neXus Secure Business Solution AB
        • Principle Investigator
        • Funding Agency: Ministry of Trade, Industry and Energy (Korea), Vinnova (Sweden)
      • Microscopic Diagnosis System Development Research Center (IT Research Center - ITRC)
        • Duration: 2016.06 - 2019.12
        • Co-Principle Investigator
        • Funding Agency: Ministry of Science, ICT, and Future Planning (MSIP)
      • Autonomous Network Software for Smart Collaboration among Heterogeneous Devices (BK21+)
        • Duration: 2013.03 - 2020.02
        • Co-Principle Investigator
        • Funding Agency: Ministry of Education, Republic of Korea
      • Center for Digital Healthcare Software Testing
        • Duration: 2016.12 - 2021.11
        • Collaborators: Korea Testing Laboratory (KTL), Korea Biotechnology Industry Organization, Daegu Technopark
        • Co-Principle Investigator
        • Funding Agency: Ministry of Trade, Industry and Energy
      • Future Combat Network Technology Research Center - Intra-body Communication Systems Research Team
        • Duration: 2016.12 - 2022.11
        • Principle Investigator
        • Funding Agency: Defense Acquisition Program Administration (DAPA), Agency for Defense Development (ADD)

        On-going Projects (Not explicitly funded but things we do for fun!)

        In most of the cases, our research is financially supported by by some funding agency, but it just happens that some topics are too interesting and catchy that we we just cannot wait until a full round of funding applications. Below are some non-funded research projects that we spend our time on.
        • Augmented Reality (AR) applications
          • Minimizing the computational overhead for 3D object rendering
          • Seamless 3D object sharing in AR environments
        • Low-complexity routing protocol design for low-power networks
          • Collaboration with the University of California at Berkeley
        • Gaze tracking-based eye-excersize management system using virtual and augmented reality
          • Collaboration with Korea University, Michigan State University, and Singapore Management University
        • Real-time image suggestion system for mobile chat applications
          • Collaboration with KAIST
        • Low-resource demanding classification techniques for image-based sensor networks
          • Collaboration with Chung-Ang University
        • Emotion-adaptive gaming using physiological signals
          • Collaboration with Singapore Management University

        Completed Projects
          • Development of a low-complexity long-distance localization scheme for LoRaWAN platforms
            • Duration: 2016.05 - 2016.07
            • Principle Investigator
            • Funding Agency: Electronics and Telecommunications Research Institute (ETRI)
          • NFC-6lo service implementations for low-power embedded platforms
            • Duration: 2016.06 - 2016.12
            • Principle Investigator
            • Funding Agency: Electronics and Telecommunications Research Institute (ETRI)
              • Development of a Machine Learning-based Image Compression Scheme for IoT Systems (Startup Funding)
                • Duration: 2015.09 - 2017.08
                • Principle Investigator
                • Funding Agency: Ajou University
                Research Supporting Platforms

                Below is a short-list of hardware devices we use for our research 
                      • Ultimaker2Go 3D Printer (Build size 120 x 120 x 115 mm)
                      • MakerBot Replicator Z18 (Build size 305 x 305 x 457 mm)
                      • Tektronix DPO2024B, MDO4024C
                        • Custom Linux Server (Intel Core i5-6550, 8G DDR RAM, 2 x GTX 1080 GPGPUs)
                        • Custom Windows Server (Intel Core i5-6550, 16G DDR RAM, GTX 1080 GPGPU)
                          • Supermicro Super Server 1028GQ-TRT (Intel Xeon Processor E5-2600, 16GB DDR4 RAM, GTX 1080 GPGPU)
                          • Microsoft Hololens
                          • Kerlink LoRa Gateway Testbed and Semtech LoRa Modules
                          • Saleae Logic Analyzer Logic Pro16