ECE

School of Electrical & Computer Engineering

UNIST ECE student Ramesh Patel, research fellow Dr. Min Woo Ryu and Prof. Kyung Rok Kim (with Prof. Ki Jin Han, Dongguk Univ.)’s paper has been accepted to IEEE Transactions on Antennas and Propagation (IF: 4.435). IEEE Transactions on Antennas and Propagation (TAP) is the most prestigious journal on the state-of-the-art works in the field

One BMIPL’s paper, “Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT,” by Se Young Chun, Minh Phuong Nguyen, Thanh Quoc Phan, Hanvit Kim, Jeffrey A Fessler and Yuni K. Dewaraja, has been accepted to IEEE Transactions on Medical Imaging (IF: 7.816). This is a collaboration work between UNIST and University of Michigan

UNIST ECE student Seoktae Seo, Hyunkyeong Jo and Prof. Franklin Bien’s paper has been accepted to IEEE Transactions on Power Electronics A free arrangement wireless power transfer (WPT) system with a ferrite transmission medium and geometry-based performance improvement method are introduced here. The proposed system addresses the efficiency collapse caused by misalignment or increased distance

If you interested in this event, please receive an invitation from ECE Administration office.  

UNIST ECE student Jae-Seong Yun and Prof. Jae-Young Sim’s paper has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 17.730). Large-scale 3D point clouds (LS3DPCs) captured by terrestrial LiDAR (Light Detection And Ranging) scanners often include virtual points which are generated by glass reflection. The virtual points may degrade the performance

[Welcome] New faculty member

September 5, 2019

Prof.Youngbin Im has joined the School of ECE (CSEE Track) as of Sep.01, 2019. Greeting from professor I am truly happy to join UNIST as a faculty member. My research mainly focuses on the theory and algorithm based practical system implementation, and deployment. I have been actively working on a datacenter memory disaggregation system, a

One BMIPL’s paper, “Extending Stein’s unbiased risk estimator to train deep denoisers with correlated pairs of noisy images,” by Magauiya Zhussip, Shakarim Soltanayev and Se Young Chun has been accepted to NeurIPS 2019 (acceptance rate: 21.2%). Magauiya Zhussip and Shakarim Soltanayev just finished their MS program at BMIPL, UNIST. NeurIPS is one of the top machine learning conferences.