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Dr. Mehdi Hasan Chowdhury

Dr. Mehdi Hasan Chowdhury is currently working as an associate professor in the Department of Electrical and Electronic Engineering, CUET. He was one of the HKPFS fellows and completed his Ph.D. from the Department of Electrical Engineering, City University of Hong Kong, in 2021. His research interests include biomedical engineering, embedded systems, and machine learning applications. Dr. Chowdhury has more than 25 publications in peer-reviewed journals and international conferences. He is the advisor of the IEEE CUET Engineering in Medicine & Biological Society (EMBS) student chapter, chief moderator of the CUET Career Club, and moderator of the CUET Debating Society.


Thank You

Dr. Mehdi Hasan Chowdhury

Email: mhchowdhury@cuet.ac.bd

Website: https://sites.google.com/site/mhc087

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Education

Dr. Mehdi Hasan Chowdhury has completed his SSC from Ideal School & College, Motijheel, Dhaka, and his HSC from Dhaka College, Dhaka. He has done his B.Sc. and M.Sc. in Electrical and Electronic Engineering from Chittagong University of Engineering & Technology and Ph.D. from the Electrical Engineering department of the City University of Hong Kong as an HKPFS fellow.

  • Ph.D. in Electrical Engineering (2021)

    City University of Hong Kong, Hong Kong

  • M.Sc. in Electrical & Electronic Engineering (2018)

    Chittagong University of Engineering & Technology, Bangladesh

  • B.Sc. in Electrical & Electronic Engineering (2013)

    Chittagong University of Engineering & Technology, Bangladesh

Acheivements/Awards

Experience

  • Dec 2013 to Present
    Electrical & Electronic Engineering (EEE)

    Faculty (Current position: Associate Professor)

    Chittagong University of Engineering & Technology (CUET)

  • Oct 2013 to Dec 2013
    SE Lab

    Software Engineer

    Samsung R&D Institute Bangladesh

Researches

My research details and some other news can be found on my personal website.

Publications

Research Name Action
1 Application Specific Reconfigurable Processor for Eyeblink Detection from Dual-Channel EOG Signal", Journal of Low Power Electronics and Applications, Volume 13, No. 4, P. 61, 2023 Details
2 An FPGA Implementation of Multiclass Disease Detection from PPG", IEEE Sensors Letters, Volume 7, Issue 11, Article Sequence Number: 6007604, 2024 Details
3 Heart Rate Estimation from Wrist PPG Signal During Intense Physical Exercise", SN Computer Science, Volume 4, Article Number: 684, 2023. Details
4 Efficient Hardware and Software Co-design for EEG Signal Classification based on Extreme Learning Machine", Proceedings of 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE) and IEEE Xplore Digital Library, 23-25 February 2023, CUET, Chittagong, Bangladesh. Details
5 Machine Learning Based Hardware Architecture for DOA Measurement from Mice EEG", IEEE Transactions on Biomedical Engineering, Volume 69, Issue 1, Pages 314-324, 2022 Details

Courses

Courses Name Action
1 Application Specific Reconfigurable Processor for Eyeblink Detection from Dual-Channel EOG Signal", Journal of Low Power Electronics and Applications, Volume 13, No. 4, P. 61, 2023 Details
2 An FPGA Implementation of Multiclass Disease Detection from PPG", IEEE Sensors Letters, Volume 7, Issue 11, Article Sequence Number: 6007604, 2024 Details
3 Heart Rate Estimation from Wrist PPG Signal During Intense Physical Exercise", SN Computer Science, Volume 4, Article Number: 684, 2023. Details
4 Efficient Hardware and Software Co-design for EEG Signal Classification based on Extreme Learning Machine", Proceedings of 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE) and IEEE Xplore Digital Library, 23-25 February 2023, CUET, Chittagong, Bangladesh. Details
5 Machine Learning Based Hardware Architecture for DOA Measurement from Mice EEG", IEEE Transactions on Biomedical Engineering, Volume 69, Issue 1, Pages 314-324, 2022 Details

Supervisions

Supervisions Name Action
1 Application Specific Reconfigurable Processor for Eyeblink Detection from Dual-Channel EOG Signal", Journal of Low Power Electronics and Applications, Volume 13, No. 4, P. 61, 2023 Details
2 An FPGA Implementation of Multiclass Disease Detection from PPG", IEEE Sensors Letters, Volume 7, Issue 11, Article Sequence Number: 6007604, 2024 Details
3 Heart Rate Estimation from Wrist PPG Signal During Intense Physical Exercise", SN Computer Science, Volume 4, Article Number: 684, 2023. Details
4 Efficient Hardware and Software Co-design for EEG Signal Classification based on Extreme Learning Machine", Proceedings of 3rd International Conference on Electrical, Computer and Communication Engineering (ECCE) and IEEE Xplore Digital Library, 23-25 February 2024, CUET, Chittagong, Bangladesh. Details
5 Machine Learning Based Hardware Architecture for DOA Measurement from Mice EEG", IEEE Transactions on Biomedical Engineering, Volume 69, Issue 1, Pages 314-324, 2022 Details

Others

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