Shahed K. Mohammed

Shahed K. Mohammed

Shahed K. Mohammed (S’15) received the B.S. degree (with honors) in electrical and electronic engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 2013. He received his M.Sc. degree from the University of Saskatchewan, Canada in 2017. Currently, he is pursuing the Ph.D degree in electrical engineering at the University of British Columbia, Vancouver, Canada. From 2013 to 2014, he served as a Lecturer at United International University, Dhaka, Bangladesh. His research interest includes medical imaging, computer aided detection system, wireless implantable, and wireless capsule endoscopy system.

Mr. Mohammed’s awards and honors include the CGSR Scholarship (University of Saskatchewan) and the Dean Scholarship (Bangladesh University of Engineering and Technology).


Contributions

  • Efficacy Evaluation of SAVE for the Diagnosis of Superficial Neoplastic Lesion
    Efficacy Evaluation of SAVE for the Diagnosis of Superficial Neoplastic Lesion

    The detection of non-polypoid superficial neoplastic lesions using current standard of white light endoscopy surveillance and random biopsy is associated with high miss rate. The subtle changes in mucosa caused by the flat and depressed neoplasms often go undetected and do not qualify for further investigation, e.g., biopsy and resection, thus increasing the risk of cancer advancement. This paper presents a screening tool named the saliency-aided visual enhancement (SAVE) method, with an objective of highlighting abnormalities in endoscopic images to detect early lesions.

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