Minseon Gwak

Signal Processing and Control Lab (SPaC) minseon25@postech.ac.kr

prof_pic.jpg

My name is Minseon Gwak and I am a Ph.D. student with the Department of Electrical Engineering at Pohang University of Science and Technology (POSTECH), advised by Prof. PooGyeon Park. I work on deep state space models and efficient long sequence modeling, with a focus on the intersection of control theory and deep learning.

During my Ph.D., I have published research papers in leading conferences and journals, including a main conference paper at NeurIPS 2024, and a regular journal paper in IEEE TII, and was honored with the Best Research of the Year Award from POSTECH EE in both 2023 and 2024. I also spent 6 months as a visiting scholar at Carnegie Mellon University, fully supported by a Korean government fellowship, where I deepened my expertise in deep learning. Prior to starting my Ph.D., I received the Best Capstone Project Award from POSTECH EE in 2018.

Selected publications

  1. last.png
    Layer-Adaptive State Pruning for Deep State Space Models
    Minseon Gwak, Seongrok Moon, Joohwan Ko, and PooGyeon Park
    In Neural Information Processing Systems (NeurIPS), Dec 2024
    arXiv HTML Code
  2. CWRU_CE.png
    Robust and explainable fault diagnosis with power-perturbation-based decision boundary analysis of deep learning models
    Minseon Gwak, Min Su Kim, Jong Pil Yun, and PooGyeon Park
    IEEE Transactions on Industrial Informatics, May 2023
    DOI