Profile of Hasi Saha

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Hasi Saha

Associate Professor

Department of Computer Science and Engineering (CSE)

Faculty of Computer Science and Engineering

Hajee Mohammad Danesh Science & Technology University, Dinajpur.

E-mail: hasi@hstu.ac.bd

Mobile: +8801719042157


RESEARCH INTEREST

    Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things

PROFESSIONAL EXPERIENCES

  1. Associate Professor
    Hajee Mohammad Danesh Science and Technology University (HSTU)

    February 01, 2020 to Present

  2. Assistant Professor
    Hajee Mohammad Danesh Science and Technology University (HSTU)

    February 01, 2015 to January 31, 2020

  3. Lecturer
    Hajee Mohammad Danesh Science and Technology University (HSTU)

    February 01, 2012 to January 31, 2015


PUBLICATIONS

Journal Papers

  1. Hasi Saha, H I Khan, Masum Billah, G C Saha, "Agricultural Crop Monitoring Using Online 3D Visualization Technique", International Journal of Scientific and Research Publications, vol 12 Issue 12, pp. 455-459, 2022.


  2. G C Saha, Hasi Saha, M. Rokunuzzaman " Prospects of Designing a Prototype for District Level Rice Production Information System (RPIS)", International Journal of Innovative Science and Research Technology, vol 7 Issue 2, pp. 1084-1087, 2022.


  3. J Devnath, M.S. Hossain, M. Rahman, Hasi Saha, A. Habib, M.N. Sultan " Emotion recognition from isolated Bengali speech", Journal of Theoretical and Applied Information Technology, vol 98 Issue 10, pp. 1523-1533, 2020.


  4. G C Saha, Hasi Saha, Ruzinoor Che Mat " A technique of monitoring plantation using online 3d visualization", Journal of Advanced Research in Dynamical and Control Systems, vol 12 Issue 6, pp. 643-648, 2020.


  5. Hasi Saha, G C Saha, Masum Billah, Najmul Hossain, Suraiya Yasmin " Application of Data Mining in Crop Yield Precision", International Journal of Innovative Science and Research Technology, vol 5 Issue 2, pp. 31-35, 2020.


  6. G C Saha, Tanvir Anzum, Suraiya Yasmin, Hasi Saha, Nadia Afrin, Masum Billah " Online Agriculture Support System for Bridging Farmer-Consumer Expectation", International Journal of Innovative Science and Research Technology, vol. 5 Issue 2, pp. 36-39, 2020.


  7. G C Saha, Ruzinoor C.M., Hasi Saha, Suraiya Yasmin, Masum Billah "Application of Online 3D Visualization in Agricultural Management", International Journal of Innovative Science and Research Technology, vol. 5 Issue 2, pp. 12-15, 2020.


  8. Hasi Saha, Rafia Chowdhury, Masum Billah, G C Saha, Suraiya Yasmin, “Random Pixel Selection Based Improved LSB Image Steganography Method Using 1 D Logistic Map and AES Encryption Algorithm”, International Journal of Innovative Science and Research Technology, vol. 5 Issue 2, pp. 40-43, 2020.


  9. G C Saha, Hasi Saha, Ruzinoor Che Mat, Nur Hossain Khan and Bappa Sarker, “Morphological Segmentation and Analysis of Bangla Text”, International Journal Of Interactive Digital Media, Vol. 4, No. 3, pp. 15-20, 2016.


  10. M.D. Hossain, T. Sultana, H. Saha and M.N. Sultan “EFFICIENT PAPR REDUCTION OF OFDM SIGNALS BY USING NARROWBAND PULSE SHAPING TECHNIQUE”, Journal of Science and Technology, Volume 14, pp. 18-25, 2016.


PROJECTS

  1. Transfer learning based tomato leaf disease detection using CNN combined with Bi-LSTM

    Funded by: IRT, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.

    Position: Principal Investigator (PI)

    Description: Detection of tomato leaf disease using CNN combined with Bi-LSTM.

  2. Agricultural support system for bridging farmer-consumer expectations

    Funded by: IRT, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.

    Position: Principal Investigator (PI)

    Description: An agricultural support system which can bridge the expectations of farmers and consumers.

  3. Analysis of crop yield prediction using machine learning techniques in Bangladesh

    Funded by: IRT, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.

    Position: Principal Investigator (PI)

    Description: Prediction of various crop yield using different machine learning techniques in some regions of Bangladesh.

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