Professor KwanMyung Kim from the Department of Design at UNIST has been honored with the Service Merit Medal for his contributions to design at the 26th Korea Design Award, held on October 13, 2024. This accolade, bestowed by the Korea Inst... Read More
The ability to predict the feasibility of manufacturing parts significantly enhances production efficiency and reduces costs in the manufacturing industry. Leveraging this technology, the laboratory of the Department of Industrial Engineeri... Read More
A research team, led by Professor Seungryul Baek at the Graduate School of Artificial Intelligence, UNIST, has achieved remarkable success in the HANDS workshop challenge, held in conjunction with the 2024 European Conference on Computer Vi... Read More
Abstract Nuclear microreactors (MRs) have attracted significant attention for their versatility in installation locations, especially with the growing demand for sustainable green energy in large data processing facilities. However, ensurin... Read More
Team S2LAB, consisting of Jiun Min, DongYeon Yu, and SeongYun Jeong, and led by Professor Yuseok Jeon from the Department of Computer Science and Engineering at UNIST, has been awarded the Minister of Science and ICT Award for securing firs... Read More
At the 2024 Digital Healthcare Challenge, co-hosted by UNIST and the UCLA Center for SMART Health, Promedius Inc. achieved a remarkable victory. During the award presentation ceremony held on October 15 in the Market Hall of the University-... Read More
The Department of Design at UNIST has secured international acclaim for its innovative designs at the prestigious Red Dot Design Award 2024. Among the noteworthy winners is Respa Chups, an innovative inhalation device designed specifically... Read More
The UNIST Artificial Intelligence Graduate School (AIGS) announced the successful completion of the 2024 AI Technology Open Workshop, bringing together academia and industry to explore collaborative models for AI technology development. Thi... Read More
Abstract Accurately predicting tool wear is crucial for intelligent machining process monitoring, control, and quality improvement. Recent studies on tool wear prediction predominantly apply deep learning-based data-driven approaches that u... Read More
Abstract The adoption of mobile robots in industrial automation is rapidly expanding, driven by not only economic advantages but also considerations for environmental conservation and worker safety. Dynamic wireless power transfer systems f... Read More
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