Biography

I have a strong educational background in computer science and engineering. I obtained my Bachelor degree in Computer Science from Abdul Wali Khan University in Pakistan and my Master degree with distinction from the Department of Computer Science and Engineering at Chonbuk National University in South Korea. I have completed my PhD under the supervision of Prof. Sang Hyun Park in the Department of Robotics and Mechatronics Engineering at DGIST. Currently I am working as Postdoctoral Fellow at CCG Lab in the Division of Intilligent Robotics with Prof.Hyunki Lee.

Research Statement

Most deep learning-based methods require a considerable amount of labeled data, which is difficult to come by in the computer vision and medical field. I am interested in developing a unsupervised domain adaptation methods to learn from synthetic data to mitigate the labeling efforts.

Keywords: Deep learning, Unsupervised Domain Adaptation, Segmentation, Classification, Detection.

Education

  • B.S. in Computer Science, Abdul Wali Khan University, 2010-2014
  • M.S. in Computer Science and Engineering, Chonbuk National University, 2015-2017
  • Ph.D in Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technololgy, 2018-2023

Work experience

Articles in Submission/Preparation

Publications

Conferences

Patents

  1. Catheter Tracking System and Controlling Method
    Title in Korea: 카테터 추적 시스템 및 제어 방법
    Inventors: Ihsan Ullah, DongKyu Won, Sang Hyun Park
    Patent Number: 10-2174246
    Application Number: 10-2018-0054790
    Registration Date: 29/10/2020
  2. Catheter Synthesis in X-Rays(Under-review)
    Title in Korean: X-ray카테터시술영상합성기법
    Inventors: Ihsan Ullah, Philip Chikontwe, Sang Hyun Park\ Patent Number: 10-2174246
    Filing Date: 2019-11-08
    Application Number: P-2019-0256-KR-00

Teaching

Skills

Deep LearningProgramming LanguagesMisc Skills
PytorchPythonLatex
TensorflowC++Origin Lab
KerasMatlabPrism

Download CV here