South Korea

- A research team led by Professor Jang Kyung-in at DGIST developed a brain-implantable dopamine measurement sensor for applying a stable structure based on a three-electrode system. - The developed sensor facilitates a real-time dopamine concentration analysis by using only one flexible probe, increasing expectations for its application for developing customized probes for patients with degenerative brain diseases.

- Successfully developed polymer-based solid-state electrolytes with high ionic conductivity and flame-retardant properties - Research results published in Advanced Energy Materials

- DGIST Professor Dae-ha Seo's research team has successfully developed optical microscopy analysis technology, based on nanochemistry and machine learning, that can observe the phase separation phenomenon of the cell membrane - The technology accurately analyzes the nanoenvironment of the cell membrane and is expected to greatly contribute to disease mechanism research and diagnostic technology

-DGIST selected in the category of information and electronics for intelligent network technology and self-assembly nanotechnology - Proved their research superiority by having two or more cases selected among the top 100 this year

- DGIST is expected to establish a joint science and technology medical school based on the excellence in education system of four Korea Advanced Institutes of Science and Technology (DGIST, KAIST, GIST, and UNIST) - New industries for bio-convergence in Daegu and Gyeongbuk region are expected to be created through advanced biomedical technological innovation

- The team successfully developed an imperceptive surface electromyography (sEMG) sensor that can be stably used in the silicone liner within the socket of a robotic prosthetic leg - The sensor transmits electromyographic signals wirelessly in a stable manner from a walking amputee to a robotic prosthetic leg for better control - Research results were published in the prestigious academic journal npj Flexible Electronics

- A joint research team of members from DGIST, UNIST, and Seoul National University have successfully developed an ultra-thin, high-performance photosensor based on eco-friendly quantum dots. - They have successfully implemented a wearable pulse sensor that works stably on the skin. - Results have been published in ACS Nano, one of the most

- Discussion of the commercialization of the 'Individual AI' original technology as developed by Dr. Yun’s research team

- Doctor Heo Su-jin and Professor Jang Jae-eun’s research team from DGIST developed an ultra-small nano vacuum tube transistor that stably operates in atmospheric pressure without being affected by extreme environments.

- DGIST student chosen as a 2023 Google PhD Fellow to provide one-on-one research mentoring and scholarship - DGIST student selected among 5 students from Korea, out of 67 students worldwide

- A research team led by Professor Jong-min Choi at the Department of Energy Science and Engineering, DGIST, collaborated with a research team of Professor Bum-joon Kim’s research team at the Department of Chemical and Biomolecular Engineering, KAIST, to develop bipolar polymers, which can improve the efficiency and stability of perovskite solar cells - Developed a process that can repair defects and maximize multifunctionality with the double introduction of bipolar polymers

- An enhanced control technology for robotic upper and lower limbs has been developed through the development of a new type of hybrid bionic nerve interface that integrates a regenerative peripheral nerve interface (RPNI) and a peripheral nerve interface (PNI) - The technology is expected to play an important role in the neuroprosthetic rehabilitation of amputee patients and the peripheral nerve interface - The study’s results have been published in the esteemed academic journal “Advanced Science”

- A demonstration was held on September 21 at the Goheung Drone Center in Goheung-gun, Jeollanam-do - This anti-drone radar, developed only with domestic technology, has the world’s highest level of technology... K-defense proudly making its inroads in the world

- It’s Sensor successfully develops industrial high precision sensor technology applicable to medical surgery - Clebrain provides a service called PianoKiwis, a sheet music learning platform based on sound recognition

- Battery and future energy experts, including LG Energy Solution, SK Materials, and EcoPro, gather at DGIST in Daegu! - Research exhibitions, recruitment counseling, and infrastructure tour to be held with the academic conference as an opportunity for research and people-to-people exchanges

- Will participate in the “2023 Korea International Future Auto & Mobility Expo” and present DGIST’s research results and achievements in the field - Will embark fully fledged on R&D projects for future mobility technologies from the year after next…the first step in the long journey of the “grand transformation of the mobility industry” for local enterprises and businesses

- Confirmed the link between cholesterol accumulated in lysosomes and decreased mitochondrial respiration due to the APOE4 genotype and proposed a possible reason that explains a decline in brain function - Research results published in Cell Reports

- Sang-woo Nam and Dong-ju Choi, students on Professors Jae-sok Yu and Sang-yoon Han’s research team, have been chosen as Student Paper Competition finalists at the IEEE International Ultrasonics Symposium. - They successfully developed an innovative photonic semiconductor-based ultrasound sensor using the quantum properties of light, paving the way for extremely high-sensitivity quantum ultrasound sensors.

- Professor Park’s research team at DGIST successfully develops AI for pathological image analysis that can accurately segment overlapping cell nuclei using only rough labels - Improved efficiency in diagnosing diseases and predicting the prognosis of patients by analyzing the microenvironment of pathological images... published in MICCAI, a top journal in the field of artificial intelligence

- Professor Sung-hoon Im’s research team at DGIST has developed automated search technology that can find an optimal deep learning network architecture by learning the relationship between tasks. - It is expected to greatly contribute to advances in AI technology, such as autonomous driving, which simultaneously performs multiple tasks, including object detection, lane recognition, and distance estimation.

- A DGIST undergraduate research team successfully developed a technology that can effectively remove noise from photoacoustic microscopy images, even when only noisy images are available - DGIST Undergraduate Group Research Program (UGRP) achievement presented at the IEEE, a prestigious international conference

- Successfully developed federated learning AI, which can enable large-scale model learning and work without violating privacy with only a single model transfer - Collaborated with Stanford University on a model for generating high-quality brain MRI images... Published 2 papers in MICCAI

- DGIST student startups Quester and Friending win Grand Prize and Excellence Prize

- DGIST developed an image sensor technology that automatically analyzes phenomena in cardiac muscle cells, such as calcium dynamics and impulse patterns, based on multi-mode images combining holograms and calcium. - This technology can be used to examine characteristics of calcium dynamics and cellular motility depending on drugs inserted, thus being a core technology for new drug development customized for patients.

- A DGIST graduate student developed a super-resolution non-linear hyper-spectral imaging method and published a research paper on it as the lead author in PhotoniX, a renowned international academic journal.

- Professor Park’s research team at DGIST has successfully developed domain-adaptive AI specialized in medical images - Contributes to saving cost and time in developing deep learning models for multi-center medical image analysis

- A research team led by Professor Jong-min Choi at the Department of Energy Science and Engineering, DGIST, has successfully developed stable quantum dot thin films, which can improve efficiency and stability in perovskite quantum dot solar cells. - Suggests a new quantum dot surface stabilization strategy based on a non-polar solvent and covalent ligands

- This educational institution held a ceremony at the DGIST Convention Hall on September 6 to commemorate the 19th anniversary of its foundation.

- The developed image translation model can yield accurate classification results despite the use of biased data for the training of a deep learning model. - This solution is expected to be applied in various fields, such as self-driving, content creation, and medicine.

- This team developed the PAINT technology that controls the adhesive properties of new organic materials, analyzes melanin formation processes, and facilitates selective melanin formation. - A research paper on the technology, which fabricates local patterns based on melanin-like pigments, was published in Nature Communications, an international academic journal.