Highlights
Urban Robotics Lab team developed a multiway registration framework capable of robustly aligning multiple scans without prior connectivity information. This framework consists of three core components: CubicFeat, an algorithm that summarizes local features within each scan and identifies correspondences; Quatro, a global registration algorithm that aligns scans based on those correspondences; and Chamelion, a refinement module based on change detection. This combination of techniques shows stable alignment performance even in highly dynamic industrial environments by focusing on static structural elements.
The Urban Robotics Lab team first participated in the SLAM Challenge in 2022, winning 2nd place in the academic division, and in 2023, they took 1st place overall in the LiDAR division and 1st place in the academic division of the vision track.
Hyejeong Yeon, a Ph.D. candidate in the School of Electrical and Electronic Engineering at KAIST under the supervision of Professor Kyung Cheol Choi, received the Distinguished Student Paper Award at SID 2025 (Society for Information Display 2025 International Symposium – Display Week 2025) held from May 11 to 16.
SID is the most prestigious international symposium in the field of display technology. In 2025, a total of 925 papers from 20 countries were submitted, and outstanding papers were selected by each technical committee.
The paper by Hyejeong Yeon, a Ph.D. candidate, was recognized by the Flexible Displays Committee for its excellence, and was selected as a Distinguished Student Paper, and the title of the awarded paper is: “Flexible Bifacial OLED-Based Photomedicine for User-Friendly Healthcare Platforms.”
The research was published in the Journal of the SID under the title : “Wearable User-Centric Phototherapeutics with Bifacial OLEDs for At-Home Wound Healing.” Furthermore, Yeon was selected to present her work at the Young Leadership Conference, a special session for promising young researchers, where her study was chosen as one of the top 10 outstanding papers of the year.
- Conference: SID 2025 (Society for Information Display 2025 International Symposium – Display Week 2025)
- Date: May 11–16, 2025
- Award: Distinguished Student Paper Award
- Paper Title: Flexible Bifacial OLED-Based Photomedicine for User-Friendly Healthcare Platforms
- Paper Link: https://doi.org/10.1002/jsid.2076
BudsID uses magnetic sensing to distinguish between fingers based on magnetic field changes that occur when a user wearing a magnetic ring touches an earbud. A lightweight deep learning model identifies which finger is used, allowing different functions to be assigned to each finger, thus expanding the input expressiveness of wireless earbuds.
This magnetic sensing system for wireless earbuds allows users to go beyond traditional interactions like play, pause, or call handling. By mapping different functions or input commands to individual fingers, the interaction capabilities can extend to augmented reality device control and beyond.
SonarSelect leverages active sonar sensing using only the built-in microphone, speaker, and motion sensors of a commercial smartwatch. It recognizes mid-air gestures around the device, enabling precise pointer manipulation and target selection.
This gesture interaction technology, based on finger movements detected via active sonar, addresses usability issues of small smartwatch screens and touch occlusion. It enables delicate 3D spatial interactions around the device.
Jiwan Kim, first author of both papers, said, “We hope our research into around-device sensing for wearable interaction technologies will help shape the future of how people interact with wearable computing devices.”
Professor Ian Oakley’s research team has made both project systems available as open source, allowing researchers and industry professionals to freely use the technology.
[BudsID]
- Title: BudsID: Mobile-Ready and Expressive Finger Identification Input for Earbuds
- Authors: Jiwan Kim, Mingyu Han, and Ian Oakley
- DOI: https://dl.acm.org/doi/10.1145/3706598.3714133
- Open Source: https://github.com/witlab-kaist/BudsID
[SonarSelect]
- Title: Cross, Dwell, or Pinch: Designing and Evaluating Around-Device Selection Methods for Unmodified Smartwatches
- Authors: Jiwan Kim, Jiwan Son, and Ian Oakley
- DOI: https://dl.acm.org/doi/10.1145/3706598.3714308
- Open Source: https://github.com/witlab-kaist/SonarSelect
This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (grants 2023R1A2C1004046, RS-2024-00407732) and the Institute for Information & Communications Technology Planning & Evaluation (IITP) under the University ICT Research Center (ITRC) support program (IITP-2024-RS-2024-00436398).
EE Professor Sanghyeon Kim’s lab has been selected for one of five new ICT projects for the first half of this year by the Samsung Research Funding & Incubation Center for Future Technology.
The Samsung Research Funding & Incubation Center for Future Technology is a funding initiative that supports innovative research projects across a wide range of fields, from natural sciences to engineering, with the aim of advancing science, technology, and industry in Korea.
Professor Kim’s lab will carry out a project titled “Low-Loss Active Power Delivery Network with Embedded On-Chip Voltage Regulator for Ultra-Low Power Computing” The research team plans to explore a solution to the power delivery problem, which has recently emerged as a key issue in the fields of semiconductor chips and packaging. Specifically, they will investigate a method of delivering power at high voltage and stepping it down on the backside of the chip.
The goal is to implement an on-chip voltage regulator using GaN-based switches, which have excellent material potential, and ferroelectric capacitors. Ultimately, the core idea is to integrate this system as an active component of the backside power delivery network (BSPDN).
Meanwhile, the foundational concept of this project was presented by the research team at IEDM — one of the three major conferences in the semiconductor field—in December last year, and improved technologies will be presented at the upcoming VLSI Symposium in June.
Imagine if music creators had a collaborator who could help brainstorm initial ideas or assist when they hit a creative block or someone who could genuinely support exploring various musical directions. A research team at KAIST’s School of Electrical Engineering has developed an AI tool designed to be such a co-creative partner in music composition.
Professor Sung-Ju Lee’s research team at the School of Electrical Engineering has developed an AI-based music creation support system named Amuse. This research was awarded the Best Paper Award, an honor given to only the top 1% of papers, at CHI (ACM Conference on Human Factors in Computing Systems), the world’s leading conference in human-computer interaction, held in Yokohama, Japan from April 26 to May 1.
Amuse is an AI-based system that supports songwriting by transforming diverse forms of inspiration, such as text, images, or audio, into harmonic structures (chord progressions). For example, when a user inputs a phrase like “memories of a warm summer beach,” an image, or a sound clip, Amuse generates and suggests a chord progression that matches the mood and atmosphere of the inspiration.
Unlike conventional generative AI, Amuse respects the user’s creative process and offers a flexible, interactive approach that allows users to modify and integrate the AI’s suggestions, encouraging natural and creative exploration.
The core technology of the Amuse system is a hybrid generation method. It first uses a large language model to generate music chords based on the user’s textual input. Then, a second AI model trained on actual music data filters out unnatural or awkward results through a process called rejection sampling. These two processes are seamlessly integrated to produce musically coherent outcomes.
The research team conducted user studies with actual musicians, and the findings suggest that Amuse has strong potential not just as a music-generating tool but as a co-creative partner that enables collaboration between humans and AI.
The study, authored by Ph.D. candidate Yewon Kim(KAIST), Professor Sung-Ju Lee(KAIST), and Professor Chris Donahue (Carnegie Mellon University), demonstrates the creative potential of AI systems for both academia and industry.
- Paper Title: Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations
- DOI: https://doi.org/10.1145/3706598.3713818
- Project Website: https://nmsl.kaist.ac.kr/projects/amuse/
Professor Sung-Ju Lee stated, “Recent generative AI technologies have raised concerns due to the risk of replicating copyrighted content or producing results that ignore the creator’s intent. Our team was aware of these issues and focused on what creators actually need, prioritizing user-centric design in developing this AI system.”
He added, “Amuse is an attempt to explore collaborative possibilities with AI while maintaining the creator’s agency. We expect it to be a starting point that guides future development of AI-powered music tools toward a more creator-friendly direction.”
This research was supported by the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT. (Project No. RS-2024-00337007)
Professor Shinhyun Choi of the School of Electrical Engineering has been selected as the recipient of the Hyeon-Woo KAIST Scholastic Award, hosted by KAIST and sponsored by the Hyeon-Woo Cultural Foundation (Chairman Soo-Il Kwak), in recognition of his achievements in next-generation AI hardware development and innovative semiconductor research.
Professor Choi’s primary research areas focus on the development of future memory and computing devices, including: ▲ Next-generation memory and computing systems using resistive switching devices that are faster and more efficient than conventional methods ▲ Integration with edge computing and neuromorphic computing to enable intelligent computer memory functions ▲Development of more efficient and creative computing and memory device operations, different from the traditional three-terminal transistor structure.
One of his representative achievements is the successful development of an ultra-low-power next-generation phase-change memory (PCM) device optimized for vertical stacking, which reduces electricity consumption by more than 15 times compared to the conventional method that relies on expensive advanced photolithography* processes. * Photolithography: A process that engraves microscopic circuit patterns on silicon wafers for semiconductor chips, which involves advanced technology and high costs.
Furthermore, based on next-generation memory and computing devices, Professor Choi developed new computing hardware (chips) capable of efficiently running AI algorithms, potentially replacing power-hungry chips such as CPUs and GPUs. This achievement enables faster and more efficient data processing and has led to significant accomplishments in practical applications such as smartphones and autonomous driving.
In addition, by analyzing the operating principles of memory devices down to the atomic level based on fundamental physical laws, he has made major contributions in proposing methods to improve memory performance with greater speed and stability.
Professor Choi’s research spans the entire spectrum of semiconductor technology—from material analysis and device development to integrated system applications. His outstanding achievements have been published in top-tier journals such as Nature, Nature Electronics, Nature Communications, and Science Advances.
Professor Choi stated, “It is an honor to receive this meaningful award for my research in IT and AI-related hardware, which are driving major societal changes. I am deeply moved that this research can provide new perspectives to both academia and industry. I will continue to strive to produce research that inspires future scholars and contributes to society.”
Meanwhile, now in its fifth year, the Hyeon-Woo KAIST Scholastic Award was established with donations from Chairman Soo-Il Kwak of the Hyeon-Woo Cultural Foundation to recognize scholars at KAIST who have made outstanding academic achievements. One faculty member is selected each year through a rigorous evaluation by the Hyeon-Woo Foundation Selection Committee and the KAIST Faculty Award Recommendation Committee. The award includes a plaque and a prize of 10 million KRW. This year’s award ceremony was held on April 30 at Jeong Geun-Mo Hall in the KAIST Academic Cultural Complex.
Professor Hyeonmin Bae from the School of Electrical Engineering was awarded the Grand research prize at the ‘KAIST Research Day 2025’ event held at the Jeong Geun Mo Conference Hall in the Academic Cultural Complex on April 30th.
Professor Bae was recognized for his outstanding achievements in “Research and Development of Quantitative Medical Imaging Ultrasound Equipment Using Artificial Intelligence,” and shared his decade-long research journey in a commemorative lecture at the event.
By integrating artificial intelligence with ultrasound technology, Professor Bae successfully commercialized quantitative ultrasound techniques, previously unattainable. The technological prowess of this innovation was demonstrated through a live demo at the Radiological Society of North America (RSNA) held in Chicago in 2024. This advanced technology can be implemented as software in existing ultrasound equipment, enabling not only early cancer detection but also the diagnosis of critical diseases in major organs such as the lungs, liver, and heart.
Professor Bae expressed his aspirations for the technology: “I hope quantitative ultrasound technology can facilitate more accurate and swift diagnoses, significantly benefiting diverse medical fields. I am committed to continuing my research to enhance global healthcare welfare.”
Meanwhile, at this year’s Research Day, Professors Kyeongha Kwon (A Wireless, Implantable Bioelectronic System for Monitoring Urinary Bladder Function Following Surgical Recovery) and Minsoo Rhu (uPIMulator: Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology) were selected for ‘KAIST’s Top 10 Research Achievements of 2024.’
Additionally, professors Junil Choi (Next-generation Visible Light Communication Encryption Technology Using Chiral Nanoparticles / Next-generation Communication) and Kyoungsik Yu (Silicon Photonic Integrated Circuits for Quantum Information Processing) were recognized in the ‘Research achievements in 14 leading technologies of the future 2025’
President Kwang Hyung Lee highlighted, ” KAIST aims to become the world’s first and foremost in research, celebrating today at Research Day the outstanding accomplishments of our researchers, and will continue growing as a global research institution that contributes to the nation and humanity through research, leading innovation and convergence”
KAIST Research Day, established in 2016, serves as an annual platform showcasing KAIST’s research and development (R&D) achievements and fostering active interaction among researchers to promote interdisciplinary collaboration.
