Eungkyu Lee
Eungkyu Lee
Kyung Hee University · Electrical and Electronic Engineering
Professor
Prof. 이응규
Professor's page · publicationsAbout
이응규 교수 연구실(EPE Group, Energy and Photonics Engineering)은 경희대 전자공학과 소속으로, 머신러닝을 활용한 나노포토닉스·전자기 설계를 연구한다. 베이지안 최적화·능동학습 기반 광학 구조 설계, 나노포토닉스 최적화, RF 안테나 최적화 등을 수행한다.
Research keywords
Recent papers
From OpenAlex · papers whose author affiliation matches this university
Selected publications
- Quantum annealing for combinatorial optimization: A benchmarking studynpj Quantum Information · 2025
- QALO: Quantum annealing-assisted lattice optimizationnpj Computational Materials · 2025
- Inverse binary optimization of convolutional neural network in active learning efficiently designs nanophotonic structuresScientific Reports · 2025
- Ultrathin Ge-YF3 antireflective coating with 0.5% reflectivity on high index substrate for long-wavelength infrared camerasNanophotonics · 2024
- Wide-angle spectral filter for energy-saving windows designed using quantum annealing-enhanced active learningCell Reports Physical Science · 2024
- Physics-informed deep learning for solving coupled electron and phonon Boltzmann transport equationsPhysical Review Applied · 2023
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Shared topic: Machine Learning in Materials Science
Materials Theory Group
Yonsei University · Materials Science and Engineering
Building a Physics-Aware AI Ecosystem for Solid-State Hydrogen Storage MaterialsACS Energy Letters · Aug 14Biochemical Engineering Lab
KAIST · Chemical and Biomolecular Engineering
Workflow design as a research variable in computational materials discoveryPreprintChemRxiv · Aug 31Multiscale Mechanics Lab
KAIST · Mechanical Engineering
A comprehensive review of thermoelectric power generators: Advances in material discovery, structural optimization for performance enhancement, and service life stabilityNewRenewable and Sustainable Energy Reviews · Sep 11
Other labs in this department
- Haneul KoRecruiting
Ko Haneul
5G/6G mobile core network, network automation, mobile edge computing, softwarized networking, electric vehicular networks, mobility management
- Suwan KimRecruiting
Kim Suwan
AI-aided design automation (EDA): machine-learning-driven standard-cell synthesis, physical design, and circuit optimization for advanced semiconductor technologies
- Jeong Hoan ParkRecruiting
Park Jeong Hoan
Low-power compact system design beyond ICs: neuromorphic neural interface SoCs, self-powered IoT sensing nodes, chip-to-chip interfaces and design-for-test for 3D ICs
- Junyong ParkRecruiting
Park Junyong
Signal and power integrity (SI/PI) for advanced package design
- Hyundong ShinRecruiting
Shin Hyundong
Wireless communication, machine intelligence, and quantum information science
- Seunghyun LeeRecruiting
Lee Seunghyun
Nanoelectronic devices and circuits (neuromorphic/brain-inspired computing, resistive memory/ReRAM, processing-in-memory, 2D materials, 3D integration)