Design and optimization of engineering classes from a service economy perspective   As a component of the service economy, university education shares the same economic classification as movie theaters, restaurants, music concerts, and coffee shops. Concepts and methods from such services have been exploited in engineering classes to improve student satisfaction, outcomes, and perspectives at KAIST.   A...

UbiTap: Leveraging acoustic dispersion for ubiquitous touch interface on solid surfaces   A novel sound-based touch localization technology offers a new means of ubiquitous interaction.   Article | Spring 2019     Professor Insik Shin (a professor at the School of Computing, KAIST) and his research team have developed UbiTap, a novel sound-based touch localization technology that offers a...

Industrial-grade flexible transparent force touch sensor for wearable devices A bending-insensitive and transparent force touch sensor with high sensitivity is proposed by developing hierarchical nanocomposite films, composed of large-area (7-inch) 200nm pitched nanograting plastic bases and dielectric polymer layer with metal nanoparticles. In particular, the proposed sensor-device successfully shows high perfor...

Grain boundaries as exceptionally active sites for oxygen electrocatalysis in perovskite oxides   By using both sintered polycrystals with various grain sizes and thin films on bicrystal substrates, it is directly demonstrated that surface-terminating grain boundaries in LaCoO3 and LaMnO3 are exceptional in oxygen evolution electrocatalysis, showing more than an order of magnitude higher activity. ...

Secure communication without secret keys A practical scheme was proposed to securely communicate without eavesdropping with no need to share secret keys beforehand. The proposed scheme finds many applications where secure communications are especially important but in which sharing secret keys is hard or infeasible, e.g. e-passports and smart payments. As a use case, they developed a test system and demonstrated ...

Using deep learning to detect fake news online   By building recurrent neural networks trained on a million-scale dataset gathered from domestic news portal services, the potential of deep learning for detecting fake news online was discovered.   Article | Spring 2019     Fighting falsehoods online is considered one of the grand challenges of the 21st century. Many news stories that are sh...