Mohammad Khan
Assistant Professor at Daffodil International University-DIU
Yongin-si, South Korea
Summary
👤
Senior🎓
Top SchoolMohammad Khan is a seasoned researcher and educator blending over a decade of engineering and AI-focused work across Bangladesh and South Korea. As an Assistant Professor at Daffodil International University since 2024, he bridges academia with industry through roles at KAIST, EnterTake, and DPDC. His research centers on machine learning and deep learning, with a focus on time series analytics and medical image analysis, supported by a PhD from Korea University. He has led IT and technology initiatives at DPDC, including 11-kV feeder automation and online customer application systems, translating research into scalable infrastructure. Based in Yongin-si, South Korea, he maintains an international research footprint and is eager to collaborate on cutting-edge ML/DL projects.
10 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science and Engineering (CSE), Bachelor of Science (B.Sc.), Computer Science and Engineering (CSE) at International Islamic University ChittagongDoctor of Philosophy (Ph.D.), Computer Science, 4.38/4.5, Doctor of Philosophy (Ph.D.), Computer Science, 4.38/4.5 at Korea UniversityMaster’s Degree, Computer Science and Engineering (CSE), Master’s Degree, Computer Science and Engineering (CSE) at Bangladesh University of Engineering and Technology
English, Bengali, Korean
Github Skills (32)
unet-image-segmentation10
densenet9
open-images9
efficientnet8
medical8
notebooks8
segmentation8
resnet8
pytorch7
machine-learning7
gpu7
image-segmentation7
deep-learning7
python7
in-place7
Programming languages (2)
Github contributions (5)
akhanss/BraTS-2020
Jul 2020 - May 2022
Contributions:9 commits, 8 pushes, 1 branch in 1 year 11 months
akhanss/nyc-taxi-trip-duration
Aug 2017 - Aug 2017
Contributions:4 commits, 3 pushes, 1 branch in 1 day
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