MAchine Intelligence and Networking (MAIN) lab에서는 지능형 의사결정, 설명 가능한 인공지능 등의 기계학습/인공지능 관련 분야에 관한 연구와 함께, 인공지능 기술을 무선 통신 네트워크, 디지털트윈/메타버스, 스마트그리드 등 다양한 분야에 응용하는 연구를 수행하고 있습니다.
MAchine Intelligence and Networking (MAIN) lab develops machine learning (ML) methods for intelligent decision-making and explainable AI and applies AI/ML for various domains such as wireless networks, digital twins/metaverse, and smart grids.
Recent News
[2025 Nov.] The article “Cost-efficient sensing with self-improving soft sensor based on predictive uncertainty estimation in IoT environments” has been accepted in IEEE Internet of Things Journal.
[2025 Oct.] The article “A-LAMP: Agentic LLM-based framework for automated MDP modeling and policy generation” has been accepted in Neurips 2025 Workshop on Multi-Turn Interactions in Large Language Models.
[2025 Oct.] The article “A novel convolutional vision transformer network for effective level-of-detail awareness in digital twins” has been published in Electronics. [Link]
[2025 Jul.] The article “Self-improving interference management based on deep learning with uncertainty quantification” has been accepted in IEEE Transactions on Vehicular Technology. [Link]
[2025 June] Our undergraduate student, Yeonsu Choi, has received the Undergraduate Excellent Paper Award at the KICS Summer Conference. Congratulations!
[2025 Apr.] The article “Beam alignment for non-stationary environments using a novel time-varying structured bandit” has been published in IEEE Transactions on Vehicular Technology. [Link]
[2025 Apr.] The article “A review on multi-fidelity hyperparameter optimization in machine learning ” has been published in ICT Express. [Link]
[2025 Feb.] The article “A review on multi-fidelity hyperparameter optimization in machine learning ” has been accepted in ICT Express.