Mohammad Alkhaleefah (沐海)

 

 Research Assistant Professor

 High Performance Computing and Deep Learning Lab

Department of Electrical Engineering

College of Electrical Engineering and Computer Science

National Taipei University of Technology

1, Sec. 3, Zhongxiao E. Rd. Complex Building, Taipei 10608 Taiwan, R.O.C.

 Email: muhai@ntut.edu.tw

 Tel. (Office): +886-2-2771-2171 ext.:2154, Fax: +886-2-2731-7187


CALL FOR PAPERS

Journal: Applied Sciences
Special Issue: Recent Advances in Deep Learning for Image Analysis
Submission Deadline: 15 April 2022

Education

  • Ph.D., Electrical Engineering and Computer Science, National Taipei University of Technology, Taiwan.
  • M.S., Information Systems​: Business Information Technology, The University of Manchester, England, the UK.
  • B.S., Computer Information Systems, Al-Ahliyya Amman University, Jordan.
  • Work Experience

    1. National Taipei University of Technology (Taipei Tech), Taiwan

  • Research Assistant Professor, 2021 – present.
  • Research Fellow, NVIDIA, Taipei Tech Embedded GPU Joint Lab, 2019 - 2021.
    1. University of Texas Arlington, United States
  • Adjunct Assistant Professor, 2021 – present.
    1. Al-Balqa' Applied University, Jordan
  • Lecturer, 2009 – 2011.
  • Honors and Awards

  • The Best Thesis Award, Taipei Chapter, IEEE Geoscience and Remote Sensing Society, 2020.
  • Performance Excellence Award from Taipei Tech, 2020.
  • Research Interests

  • Computer Vision, Medical Image Processing, Pattern Recognition, Deep Learning, Remote Sensing, High Performance Computing, and Internet of Medical Things (IoMT).

  • Publications Lists

    International Journal Papers (SCI): Google Scholar; ORCiD

    1. Chia-Cheng Yeh, Yang-Lang Chang, Mohammad Alkhaleefah, Pai-Hui Hsu, Weiyong Eng, Voon-Chet Koo, Bormin Huang, Chang Lena*, "YOLOv3-based Matching Approach for Roof Region Detection from Drone Images", MDPI Remote Sensing2021, Vol.13, Issue 1: 127, April 2021, Impact Factor: 4.848.
    2. Shang-Chih Ma, Mohammad Alkhaleefah,Yang-Lang Chang*, Lena Chang, and Bormin Huang, "Multilevel High-Rate Coding with Twofold Concatenation for IoTs in Wireless Mesh Networks", IEEE Access,  Vol. 8, pp. 106910 - 106923, 08 June 2020, Impact Factor: 3.367.
    3. Mohammad Alkhaleefah, Shang-Chih Ma, Yang-Lang Chang*, Bormin Huang, Praveen Kumar Chittem, and Vishnu Priya Achhannagari, "Double-Shot Transfer Learning for Breast Cancer Classification from X-Ray Images", MDPI Applied Sciences , Vol. 10, Issue 11: 3999, June 2020, Impact Factor: 2.679.

    International Conference Papers:

    1. Meng-Che Wu, Mohammad Alkhaleefah, Lena Chang, Yang-Lang Chang*, Ming-Hwang Shie, Shian-Jing Liu, Wen-Yen Chang, "Recurrent Deep learning for Rice Fields Detection from SAR Images", in proc. of IEEE International Geoscience and Remote Sensing Symposium IGARSS2020, 26 Sep - 2 Oct 2020, Waikoloa, Hawaii, USA.
    2. Mohammad Alkhaleefah, Yang-Lang Chang* , Praveen Kumar Chittem, Shang-Chih Ma, and Vishnu Priya Achhannagari, "The Influence of Image Augmentation on Breast Lesion Classification Using Transfer Learning", in proc. of AAISP'20-International Conference on Artificial Intelligence and Signal Processing, AISP'2020, 10-12 Jan 2020, VIT-AP University, Amaravati, India.
    3. Mohammad Alkhaleefah, Chao-Cheng Wu, "A Hybrid CNN and RBF-Based SVM Approach for Breast Cancer Classification in Mammograms", in proc. of IEEE International Conference on Systems, Man and Cybernetics, IEEE SMC 2018, 7-10 Oct 2018, Miyazaki, JAPAN.

    Courses

    Fall'21

    1. Deep Learning for Digital Image Analysis.

    Links


     Last Modified on Feb. 02, 2021.