Faculty Members

LANGUAGE ≫ Japanese
md-shakhawat-1.jpg

Associate Professor
HOSSAIN MD SHAKHAWAT

Doctor of Engineering, Tokyo Institute of Technology, Japan, Japan, 2020

Masters in Engineering, Tokyo Institute of Technology, Japan, Japan, 2017

Masters of Science , Rajshahi University, Bangladesh, Bangladesh, 2013

Bachelor of Science, Rajshahi University, Bangladesh, Bangladesh, 2010

Post Doctorate, Memorial Sloan Kettering Cancer Center, USA, USA, 2021

  • Year of birth: 1987
  • Gender: Male
  • Affiliation:
    - School of Informatics
    - Graduate School of Enginering
Areas of specialization Medical Image Analysis, Artificial Intelligence, Digital Pathology, Whole Slide Imaging, Cancer Diagnosis
Laboratory/research office
Current research topics
Educational background 2020: Doctor, Tokyo Institute of Technology, Japan
Professional background
Licenses
Academic societies

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Courses

* Courses provided in English are shown with (E) mark

Undergraduate school
Graduate school

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Research activities

Research papers
  1. Authors: Ashifur Rahman, MM Mahbubul Syeed, Kaniz Fatema, Md. Rajaul Karim, Razib Hayat Khan, HOSSAIN MD SHAKHAWAT, Mohammad Faisal Uddin
    Title: An enhanced multi-head attention-based LSTM model for forecasting the surface water quality index
    Journal: Water Practice & Technology, Vol. 20, No. 4, IWA Publishing
    Year: 2025
  2. Authors: HOSSAIN MD SHAKHAWAT, Munim Ahmed, Md Sahilur Rahman, MM Mahbubul Syeed, Mohammad Faisal Uddin
    Title: Predicting the effect of Bevacizumab therapy in ovarian cancer from H&E whole slide images using transformer model
    Journal: Intelligence-Based Medicine, Vol. 11, p. 100231, ELSEVIER
    Year: 2025
  3. Authors: HOSSAIN MD SHAKHAWAT, Galib Muhammad Shahriar, MM Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, Shingla Shivam, Suresh Advani
    Title: Region of interest (ROI) selection using vision transformer for automatic analysis using whole slide images
    Journal: Scientific Reports (Nature), Vol. 13, No. 1, Springer
    Year: 2023
Awards
  1. Best Paper Presentation Award, IEEE ICCIT, 2024
  2. Pathology Informatics Award, Association of Pathology Informatics, USA, 2019

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Social activities

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