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Mugahed A. Al-antari - Ph.D.
Assistant Professor

Artificial Intelligence and Smart Solution Laboratory Department of Artificial Intelligence and Data Science, College of AI Convergence, Sejong University Seoul, Republic of Korea

email: en.mualshz@sejong.ac.kr tel: +82-2-3408-1859

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PROFESSIONAL PROFILE

  • Dr. Mugahed A. Al-Antari is an Assistant Professor in the Department of Artificial Intelligence and Data Science, Daeyang AI Center, College of Software & Convergence Technology, Sejong University, Seoul 05006, Republic of Korea.
  • In August 2019, Dr. Al-antari received his Ph.D. in Biomedical Engineering from the College of Electronics and Information at Kyung Hee University (KHU), Republic of Korea, where his thesis earned an excellent award for the topic of AI-based Breast Cancer Detection, Segmentation, and Classification.
  • Dr. Al-Antari has over seven years of teaching experience in the Departments of Biomedical Engineering, Artificial Intelligence and Data Science, and Software at various public and private universities. He is currently employed at Sejong University.
  • Dr. Al-antari currently leads domestic and international (Korea-Turkey) collaborative research projects funded by the government of the Republic of Korea.
  • Dr. Al-antari has over five years of professional experience as a Senior Researcher and Executive Engineering Director at YOZMA BMTech Group, Seoul, developing mini- and whole-body DXA machines using X-ray pencil and fan beams.
  • During his PostDoc position with Prof. Sungyoung Lee, CEO of UCLab, the Minister Award was received twice for the best research project (AI Doctor Platform) from the Ministry of Information and Communication Technology (ICT), Korea.
  • Dr. Al-Antari's recent AI-based publications have garnered significant attention from international journal editorials and are recognized by distinguished editorial boards as Cornerstone of the AI modern medicine.
  • Dr. Al-antari has been selected in August 2024 for “World's Top 2% Scientists” by the database analysis of Elsevier and  Stanford University.
  • Dr. Al-Antari has been a member of IEEE and IEEE EMBS since 2014 and his current research interests include Explainable Artificial Intelligence (XAI) with LLM, deep learning, machine learning, pattern recognition, medical signal and image processing, medical imaging of dual-energy X-ray absorptiometry (DXA), and AI-based NLP for healthcare applications.

EDUCATION

  • [09.2015 - 08.2019] Ph.D. in Biomedical Engineering, Kyung Hee University (KHU), Republic of Korea.
  • [09.2013 - 02.2015] MSc. in Biomedical Engineering and Systems, Cairo University, Egypt 
  • [09.2006 - 09.2010] BSc. in Electronic Engineering – Medical Electronics, Aleppo University, Republic of Syria 

    ACADEMIC EXPERIENCE

    • [March 2022 - Present]: Assistant Professor at the Department of Artificial Intelligence, Sejong University, Seoul, Republic of Korea
    • [May 2020 - Feb 2022]: Post-Doctoral Researcher and Team Leader for AI-based Smart Solutions at the Computer Science and Engineering, Kyung Hee University (KHU), Seoul, Republic of Korea
    • [Nov 2010 - Aug 2013]: Lecturer at the Biomedical Engineering Department, Sana'a Community College, Republic of Yemen
    • [May 2012 - Oct 2012]: Part-time Lecturer at the Biomedical Engineering Department, Yemeni Jordanian University, Republic of Yemen
    • [Nov 2011 - Oct 2012]: Part-time Lecturer at the Biomedical Engineering Department, International Union College, Yemen

    INDUSTRIAL WORK EXPERIENCE

    • [Sep. 2019 - April 2020]: Executive Engineering Director at YOZMA BMTech Co., Ltd., Medical Engineering R&D Center, Republic of Korea
    • [Oct. 2015 - Sep. 2019]: Part-time Senior Researcher & Developer at YOZMA BMTech Co., Ltd., Medical Engineering R&D Center, Republic of Korea
    • [Sep. 2015 - Aug. 2019]: Part-time Assistant Researcher & Developer at the Bio-Imaging Lab., Kyung Hee University, Republic of Korea
    • [Oct. 2010 - Nov. 2010]: Internship Course at Natco AlRazi Co. Ltd., Maintenance Department, Republic of Yemen

    AWARD

    • 02 September 2024 Outstanding Talent Citizen, Republic of Korea.
    • IEEE Senior Member since 2014
    • IEEE EMBS Senior Member since 2014
    • Federation of Arab Engineers Senior Member since 2013
    • Yemeni Engineering Syndicate Senior Member since 2013
    • 1st Top rank in school as well as 3rd top rank in the province. Based on this, I have awarded Bachelor and Master Scholarships which are granted by the Ministry of Higher Education and Scientific Research (MoHESR), Republic of Yemen in 2005 and 2013, respectively
    • President Ph.D. Scholarship from Kyung Hee University, Republic of Korea, Sep. 1, 2015 – Aug. 21, 2019
    • Awarded for the 4th top rank in the Bachelor’s Degree from the Aleppo University and Yemeni embassy in Damascus, Syria, 2010
    • Awarded to be one of the top 5th rank in the Master degree, Cairo University and Yemen Embassy in Egypt, Egypt, 2015.
    • Awarded a Cornerstone Research achievement from the Editorial board of the journals of Computer Methods and Programs in Biomedicine, (SCI, [Q1]), Volume 157, April 2018.
    • Awarded a Research achievement of the best Ph.D. thesis in the Fall semester 2019
    • Awarded best conference paper presented in the IEEE ECBIOS 2019
    • Awarded best conference paper (First Author) presented in the Korea Society of Medical & Biological Engineering 2016
    • Awarded the Review certificate several times from the high indexed international SCI/E and Scopus journals
    • First time: Awarded the BEST Research Project of the AI Doctor Platform from Ministry of Information and Communication Technology (ICT), Seoul, Republic of Korea, Dec. 23, 2020
    • Awarded the best professional conference paper (First Author) of AI-based COVID-19 detection and classification, IEEE IECBES, March 3rd, 2021
    • Second Time: Awarded the BEST Research Project of the AI Doctor Platform from Ministry of Information and Communication Technology (ICT), Seoul, Republic of Korea, Nov. 16, 2021
    • 2023 Outstanding Research Accomplishment (AI-based Breast Cancer Application as the Corresponding Author while Aymen Al-Hijri is the first Author), Ibb University, Republic of Yemen