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Category: Research Highlight
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    Programmable RNA acetylation with CRISPR-Cas13

    Prof. Heo’s group has developed a method for targeted RNA acetylation by integrating a RNA-binding CRISPR-Cas13 system and engineered human NAT10 enzyme. ...read more

    ac4C CRISPR-Cas13 KI for BioInnovation KIBI Optogenetics RNA modification RNA modulation
  • Research Highlight

    A homecare in-bed hardware system for precise real-time ECG and HRV monitoring with layered clothing

    Prof. Kim’s team developed a system that measures electrocardiogram and heart rate variability while a user lies clothed on a bed, enabling daily heart monitoring and early diagnosis. ...read more

    Biomedical circuits Energy-efficient Circuit Design Implantable and wearable devices KI for IT-AI Convergence KIITAIC power management
  • Research Highlight

    Digital-Intensive Continuous-Time Delta-Sigma Analog-to-Digital Converter for High-Resolution and Low-Power Sensor Interfaces

    Prof. Ryu’s group has developed a digital-intensive continuous-time delta-sigma modulator by implementing high-order digital noise coupling, shifting most of the analog circuitry to the digital domain. ...read more

    Analog-to-digital converters Data Converters delta-sigma modulators digital intensive Integrated Circuits KI for IT-AI Convergence KIITAIC
  • Research Highlight

    Sensorless control of active magnetic bearings

    Professor Noh’s group developed a position estimator for sensorless control of active magnetic bearings using a discrete voltage model and square-wave voltage injection at Nyquist frequency. ...read more

    Active magnetic bearing control and instrumentation Electric motors and drives KI for Disruptive Robotics KIDR magnetic levitation magnetic levitation systems mechatronics and robotics position estimator precision control sensorless control sensors and actuators
  • Research Highlight

    Multiway registration framework for spatiotemporal environments

    Prof. Hyun Myung’s research team developed a change-robust multiway registration pipeline, winning 1st place at NSS Challenge 2025. ...read more

    Autonomous robot navigation Autonomy intelligent robots KI for Disruptive Robotics KIDR spatial AI
  • Research Highlight

    Physics-Informed Machine Learning Unlocks Data-Efficient Pathways for Materials Characterization

    Prof. Seunghwa Ryu’s Team Presents Physics-Informed Machine Learning Framework for Data-Efficient Materials Characterization. ...read more

    AI-powered design and manufacturing Data-Efficient Materials Characterization Inverse Design KI for Climate Environment and Energy KICEE Physics-Informed Machine Learning (PIML)
  • Research Highlight

    Vacancy-Engineered, Perfectly Ordered Nanowires for Highly Selective Catalysis

    The team of Prof. Park and Prof. Jung revealed that aligned CeOx nanowires with engineered vacancies significantly boost catalytic selectivity for producing methyl formate. ...read more

    Catalysis Charge transfer Hot electron generation KI for Climate Environment and Energy KICEE Nanofabrication Oxygen vacancies Vacancy engineering
  • Research Highlight

    3D microanatomy of unlabeled cancer tissues revealed by holotomography and virtual H&E

    Prof. Park’s group at KAIST developed 3D virtual H&E staining of thick cancer tissues using holotomography and AI. ...read more

    3D pathology Artificial intelligence Biophotonics deep learninig holotomography KI for Human Augmentation Convergence KIHAC
  • Research Highlight

    Accurate Estimation of Joint Reaction of Users in Wearable Robots Using Multiple Wireless 3-DOF Interaction Force Sensor System

    Prof. Park’s group has developed a wireless 3-degree-of-freedom force sensor system for real-time estimation of biomechanical load of human in wearable robots. ...read more

    Biomechanics KI for Human Augmentation Convergence KIHAC Physical human-robot interaction Rehabilitation engineering Wearable robot
  • Research Highlight

    Glutamatergic metabolic synapses between hepatocytes and Kupffer cells in liver disease

    Professor Jeong’s team has identified the formation of glutamatergic metabolic synapses between hepatocytes and Kupffer cells as a key driver of alcohol-associated steatohepatitis....read more

    Glutamatergic metabolic synapse between hepatocytes and non-parenchymal cells Immuno-metabo-neurologic axis in liver disease KI for BioInnovation; KIBI

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