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New Faculty Appointments (Effective March 1, 2026) 이미지
New Faculty Appointments (Effective March 1, 2026)
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  • ▲ Assistant Prof. Park SeongYeon, Department of Mechanical Engineering▲ Assistant Prof. Yoon Kooknoh, Department of Materials Science and Engineering▲ Assistant Prof. Park Hejin, Department of Chemical and Biological Engineering▲ Assistant Prof. Lee JaeHun, Department of Semiconductor Systems Engineering▲ Assistant Prof. Kim Jungsik, Department of Semiconductor Systems Engineering:▲ Assistant Prof. Hwang Yunkyung, Department of Electrical Engineering▲ Assistant Prof. Kim Minsoo, Department of Electrical Engineering▲ Assistant Prof. Lee Daeyong, Department of English Language and Literature▲ Assistant Prof. Bark Jaehyeong, Department of Accounting and Taxation▲ Assistant Prof. Kim Hyeonjung, Department of Accounting and Taxation▲ Assistant Prof. Yu Sungjin, Department of Mobile Convergence Engineering▲ Assistant Prof. Park Jaehyun, Department of Computer Engineering
  • 등록일2026-03-04 15:47:01
Departments of Computer Engineering & Artificial Intelligence Software Receive Honorable Mentions for the Outstanding Undergraduate Paper Award at the 2026 KICS Winter Co 이미지
Departments of Computer Engineering & Artificial Intelligence Software Receive Honorable Mentions for the Outstanding Undergraduate Paper Award at the 2026 KICS Winter Co
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  • Photo Caption: (From left) Kim Ji-hun and Kil Gi-hun (Undergraduate Students, Dept. of Computer Engineering, Hanbat National University), and Prof. Lee Sang-geum (Advising Professor).Photo Caption: (From left) Choi Beom-yeong and Jo Seong-hwan (Undergraduate Students, Dept. of Artificial Intelligence Software, Hanbat National University), Prof. Jeong Ui-rim, and Prof. Kim Young-dong.□ Hanbat National University announced that undergraduate research teams from the Department of Computer Engineering and the Department of Artificial Intelligence Software were each selected for the Undergraduate Outstanding Paper Award (Encouragement Award) at the 2026 KICS (Korean Institute of Communications and Information Sciences) Winter Conference held on the 19th.□ First, undergraduate students Kim Ji-hoon and Gil Ki-hoon, along with Professor Lee Sang-geum from the Department of Computer Engineering, demonstrated the excellence of undergraduate research capabilities in the field of AI-based intelligent counseling systems through their study on 'Self-Evolving 4-xss-layer Regularization Gates for Cost-Effective Intelligent AICC'.○ To address the issues of declining counseling performance and high operational costs in AI Contact Centers (AICC) caused by MZ generation slang and unstructured text, this study proposes a '4-xss-layer Self-Evolving Normalization xss-framework' consisting of Static (Hash), Semantic (Vector), Reasoning (LLM), and Evolution (Feedback).○ By dynamically allocating processing xss-layers based on input complexity, the system handles frequent slang with low latency while routing complex variations to Large Language Models (LLMs). In particular, a self-updating structure that transfers inference results from higher to lower xss-layers enables cost-effective normalization○ Advisor Professor Lee Sang-geum remarked, "It is highly meaningful that our undergraduate-level research, which addresses real-world industrial challenges, has led to such a prestigious award." He added, "We will continue to expand our research into AI-based intelligent systems moving forward."□ In addition, undergraduate students Choi Beom-young and Jo Seong-hwan, along with Professors Jeong Ui-rim and Kim Young-dong from the Department of Artificial Intelligence Software, received the Outstanding Paper Award in the field of AI model lightweighting for their research titled 'VA-QKD: Efficient One-Shot W2A2 Quantization using Virtual Anchors'.○ This study proposes a method for training a student model by quantizing the output of a teacher model within the quantization knowledge distillation technique, which is widely used for AI model lightweighting. The proposed method demonstrated superior performance compared to existing quantization distillation techniques in image recognition tasks.○ Professors Jeong Ui-rim and Kim Young-dong, who supervised the thesis, stated, "We are very proud and delighted to see our undergraduate students proving their excellence in various competitions." They added, "We plan to continue our research by expanding into more complex vision and language models in the future."
  • 등록일2026-02-23 16:43:29