Bio-based production of glutaric acid: A monomer of polyester and nylon   A microbial strain was developed that is capable of producing world’s highest level of glutaric acid from a renewable source. This new strategy will be useful for bio-based production of polyester, nylon, and other value-added chemicals.   Article | Spring 2021     A microbial strain capable of producing the wo...

Ultra-high Efficiency Solar Inverter in Compact Size Enabled by SiC MOSFET   The global penetration of solar power is increasing rapidly. SiC MOSFET, a breakthrough technology in power electronics, enables the introduction of compact and ultra-high efficiency solar inverters into the increasingly competitive renewable market.   Article | Spring 2021     Due to the significant growth of so...

Systems Biology Opens a New Path to Reverse Cell Aging   Professor Kwang-Hyun Cho’s team discovered that inhibition of PDK1 in senescent human dermal fibroblasts eradicates senescence hallmarks and restores cell cycle entry, resulting in restored skin regeneration capacity. These findings provide insight into a potential therapeutic strategy to treat age-related diseases.   Article | Spring 2...

A fast n-ary join query processing technology for modern complex queries   Existing commercial DBMSs tend to fail in processing modern complex queries due to memory shortage or time out. They rely on binary join processing. SPRINTER improves the performance of such queries by up to 5-20 times without failure through n-ary join processing.   Article | Spring 2021     DBMSs are widely us...

FR-Train: Fair and Robust Training for Trustworthy AI   FR-Train is the first holistic framework for fair and robust training, which are critical elements in Trustworthy AI, where one must train machine learning models in the presence of data bias and poisoning.   Article | Spring 2021     Prof. Steven Euijong Whang and Prof. Changho Suh’s research team developed a new machine learn...

Neural-enhanced Live Streaming   Current video streaming systems suffer from a fundamental limitation that video quality heavily depends on the available bandwidth between servers and clients. Recently, deep-learning-based super-resolution has become a promising way to overcome this limitation by recovering high-quality video from lower-quality transmissions. However, existing super-resolution technologies ar...