The KAIST School of Electrical Engineering aims to advance the field of robotics and control by developing innovative technologies and methodologies. This research encompasses control theory, autonomous vehicles, human-robot interaction, drones and urban air mobility (UAM), humanoid and legged robots, Networked / Distributed Control Systems, data-driven control, fault-tolerant systems, and power management/battery systems. The department’s innovative research in these topics can be applied across various industries, including automotive, aerospace, healthcare, manufacturing, and urban transportation.

The security research at the KAIST School of Electrical Engineering aims to develop advanced techniques to protect information systems, ensure privacy, and secure physical infrastructure. This research spans various areas including system security, Information / Data Privacy, Wireless Security, Physical and Hardware Security, Usable Security, and network security.

The department’s innovative research in system security, Information / Data Privacy, Wireless Security, Physical and Hardware Security, Usable Security, and network security is applied across various industries, including finance, healthcare, telecommunications, and critical infrastructure protection.

The Big Data research at the KAIST School of Electrical Engineering aims to provide innovative and practical solutions through the collection, storage, analysis, and utilization of large-scale data. This research covers database management, data mining, data-centric AI, responsible data management, AI for graphs and time series, anomaly detection, and interpretable decision making.

The department’s innovative research in database management, data mining, data-centric AI, responsible data management, AI for graphs and time series, anomaly detection, and interpretable decision making is applied across various industries, including IT, manufacturing, finance, and healthcare.

The KAIST School of Electrical Engineering aims to develop technologies for the effective analysis, processing, and application of multimedia data such as audio, video, images, and other forms of multimedia. This research not only builds on the foundations of digital signal processing but also leverages advanced AI models to enhance real-world applications, significantly improving the performance of multimedia systems and generating realistic multimedia data. Innovative research outcomes in the fields of image and speech processing, multimodal signal processing, and biomedical signal processing are applied across various industries, including smart devices, healthcare, and data security.

The research in RF/mmWave devices and systems at the KAIST School of Electrical Engineering aims to develop advanced technologies for next generation communication and sensing systems. This research focuses on enhancing communication/sensing systems, device performance, and antenna technologies to meet the growing demand for low latency and high performance wireless communications and sensing.

The department’s research in next generation RF/mmWave is innovating various industries, including telecommunications, automotive, and aerospace.

The computer architecture research at the KAIST School of Electrical Engineering aims to design the next generation of computer hardware and software systems and its interface for current and emerging application domains like Artificial Intelligence (AI). This research area focuses on optimizing the organization of computer architecture and systems, ease of programming, and system performance. The advancement in computer architecture has led to the design of next-generation computer systems that enable the execution of entirely new forms of applications. For example, AI technology, which is revolutionizing many fields in the IT industry, has been made practical by AI semiconductor technologies such as Graphics Processing Units (GPUs) and Neural Processing Units (NPUs), the achievement of which are made possible by innovative research results in the field of computer architecture.

The human-computer interaction (HCI) research at the KAIST School of Electrical Engineering aims to enhance user experience and facilitate seamless interaction between humans and machines. This research develops various interaction technologies and provides innovative applications through these advancements. The department’s innovative research in human-robot interaction, virtual and augmented reality, wearable interaction, digital health, social computing, usable security, and human-AI interaction is applied across various industries.

Light, in the form of photons, possesses unique properties that allow for rapid and accurate information transfer and enable various physical/chemical phenomena (including quantum) through interactions with matter. These properties have positioned light as a transformative technology across diverse areas, giving rise to the scientific discipline of Photonics. Photonics encompasses the study and application of light-based technologies, revolutionizing modern society in numerous ways.

The Photonics research at KAIST School of Electrical Engineering explores the diverse characteristics of light and develops innovative solutions in computing, information and communications, sensing, and imaging. The research covers nanophotonics, integrated photonics (silicon photonics), quantum photonics, and photonic systems, pursuing the integrative development of fundamental science and applied technology. We aim to lead innovations in photonics technology and contribute to the advancement of human society.

The display science and engineering research at KAIST aims to develop cutting-edge display technologies that provide enhanced visual experiences. This research covers a wide range of fields, including front-plane technologies such as MicroLED, OLED, Quantum Dots, and Perovskite LEDs, back-plane technologies like thin-film transistors (TFTs), driver and readout ICs, and flexible/stretchable display technologies. The innovative outcomes in this field are being applied across various industries, including consumer electronics, medical devices, and wearable technologies.

Biomedical engineering research conducted at KAIST School of Electrical Engineering aims to understand biological signals and systems and develop advanced medical technologies. This research integrates various disciplines, including nanotechnology, electronics, optics, and neuroscience, to provide innovative healthcare solutions. Research outcomes in Biomedical MEMS and nanoscale biosensors, medical imaging, wearable and implantable electronics, electronic and photonic medicine, and neural engineering have significant impact in various biomedical industries such as healthcare, personalized medicine, and rehabilitation.

The AI and machine learning research at the KAIST School of Electrical Engineering aims to develop advanced algorithms and systems that leverage AI to solve complex problems across various domains. This research encompasses AI architecture and algorithms, multimedia signal processing, communication, control and robotic systems, AI theory, devices and systems, and computing.

The semiconductor devices and nanotechnology research at the KAIST School of Electrical Engineering aims to develop advanced semiconductor device technologies and nanoscale devices, which are key to next-generation electronic systems. This research covers major areas in future electronics, such as logic, memory, sensors, AI semiconductors, power semiconductors, and RF/mmWave devices. These innovative results are actively applied in various industries, including semiconductors, AI hardware, ultra-high-speed communications, and IoT sensors.

The research in software systems and networking at the KAIST School of Electrical Engineering aims to develop cutting-edge technologies to provide innovative solutions across various application domains. This research covers systems for AI, operating systems, storage and file systems, distributed systems, and embedded systems.

The department’s innovative research in AI systems, operating systems, storage and file systems, distributed systems, and embedded systems is applied across various industries, including IT, telecommunications, and industrial automation.

The information, communication, and coding research at the KAIST School of Electrical Engineering aims to maximize the efficiency and security of modern information transmission and processing systems. This research establishes the theoretical foundations of advanced communication technologies and applies them to practical applications to provide innovative solutions.

Innovative research outcomes in mobile networking, communication systems and algorithms, information theory, data science, satellite communication, and Wireless Security are applied across various industries, including telecommunications, data processing, security, and AI.

Research in quantum science and engineering at the KAIST School of Electrical Engineering focuses on developing novel technologies for information processing, communication, sensing, and devices, leveraging the unique properties of quantum mechanics to enhance capabilities.

The successful implementation of quantum technologies is expected to enable numerous innovative applications, including quantum computation for industrial purposes, quantum communication for secure transmissions, and sensors with ultimate sensitivity.

The KAIST School of Electrical Engineering aims to develop innovative technologies in integrated circuits and semiconductor systems to maximize the performance and efficiency of electronic devices. This research establishes the theoretical foundations of advanced semiconductor technologies and applies them to practical applications to provide innovative solutions.

The department’s innovative research in nanoscale semiconductor devices, memory devices, power electronics, wireline/wireless communication, mixed-signal integrated circuits, analog and digital integrated circuits, design automation, and devices for AI and machine learning is applied across various industry fields.