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Ms. Sadah Anjum Shanto

Assistant Professor

Department of Computer Science & Engineering

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Department of Computer Science and Engineering (CSE)

Bangladesh University of Business and Technology
(BUBT)Mirpur, Dhaka-1216, Bangladesh

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  • M.Sc. in Information and Communication Technology(ICT) in BUET  (Ongoing)

  • B.Sc. in Computer Science and Engineering : Chittagong University of Engineering and Technology (CUET), 2017.

  • H.S.C. : Holy Cross College, Dhaka, 2012.

  • S.S.C. : Mohammadpur Preparatory Girls' High School and College, Dhaka, 2010.

 

Sadah Anjum Shanto is currently working as a Lecturer in the Department of Computer Science and Engineering of the Bangladesh University of Business and Technology (BUBT) since June 2018. She also worked as a faculty member in the Department of Computer Science and Engineering at Victoria University of Bangladesh from March 2018 to May 2018. She received her B.Sc. in Computer Science and Engineering from Chittagong University of Engineering and Technology (CUET) in the year 2017. Her research interests include artificial intelligence (AI), machine learning, web engineering, blockchain, health informatics.

Lecturer: June 2018 to December, 2022
Department of Computer Science and Engineering,

Bangladesh University of Business and Technology (BUBT), Dhaka, Bangladesh.

Responsibilities: Conducting courses, thesis and project supervision, performing research, curriculum development, student advising.

Lecturer: March 2018 to May 2018
Department of Computer Science and Engineering,

Victoria University of Bangladesh (VUB), Dhaka, Bangladesh.

Responsibilities: Conducting courses, thesis and project supervision, performing research, curriculum development, student advising.

Artificial Intelligence, Web Database Programming, Algorithms. System Analysis and Design, Digital Logic Design, Data Communication

Blockchain, Health Informatics, Network Security, Web Engineering, Machine Learning, Data mining

Blockchain, Health Informatics, Network Security, Web Engineering, Machine Learning, Data mining

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