PROFILE INFO

Md. Simul Hasan Talukder

ML Researcher

  • Medical Image processing, Machine Learning, Deep learning, Explainable AI, Signal Processing
  • +8801521444344
  • simulhasantalukder@gmail.com
  • Dhaka, Bangladesh
  • __*__

Education

  • M.Sc. in Electrical and Electronic Engineering (EEE)

Rajshahi University of Engineering & Technology (RUET), Bangladesh – 2023 [CGPA: 3.92 out of 4.00]

M.Sc. Thesis: Nutrient Deficiency Detection of Rice Crop by Using Machine Learning.

  • B.Sc. in Electrical and Electronic Engineering (EEE)

Khulna University of Engineering & Technology (KUET), Bangladesh – 2019 [CGPA: 3.72 out of 4.00]

B.Sc. Thesis: Enhancing Security through Reversible Image Data Hiding Based on Image Cryptography.

  1. Talukder, M. S. H., & Akter, S. (2023). An improved ensemble model of hyper parameter tuned ML algorithms for fetal health prediction. International Journal of Information Technology, 1-10. Link: https://link.springer.com/article/10.1007/s41870-023-01447-9
  2. Talukder, M. S. H., Chowdhury, M. R., Sourav, M. S. U., Al Rakin, A., Shuvo, S. A., Sulaiman, R. B., … & Haque, Z. (2023). JutePestDetect: An intelligent approach for jute pest identification using fine-tuned transfer learning. Smart Agricultural Technology, 5, 100279. Link: https://www.sciencedirect.com/science/article/pii/S2772375523001089
  3. Talukder, M. S. H., Sulaiman, R. B., Chowdhury, M. R., Nipun, M. S., & Islam, T. (2023). PotatoPestNet: a CTInceptionV3-RS-based neural network for accurate identification of potato pests. Smart Agricultural Technology, 5, 100297. Link: https://www.sciencedirect.com/science/ article/pii/S2772375523001260
  4. Talukder, M. S. H., & Sarkar, A. K. (2023). Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning. Smart Agricultural Technology, 4, 100155. https://doi.org/10.1016/j.atech.2022.100155 Link: https://www.sciencedirect.com/science/article/pii /S2772375522001198 Publisher: Elsevier
  5. Nipun, M. S., Talukder, M. S. H., Butt, U. J., & Sulaiman, R. B. (2023). Influence of Artificial Intelligence in Higher Education; Impact, Risk and Counter Measure. In AI, Blockchain and Self-Sovereign Identity in Higher Education (pp. 143-166). Cham: Springer Nature Switzerland. Link: https://link.springer.com/chapter/10.1007/978-3-031-33627-0_7
  6. Talukder, M. S. H., Sarkar, A. K., & Nuhi-Alamin, M. (2022, December). An Improved Model for Nutrient Deficiency Diagnosis of Rice Plant by Ensemble Learning. In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-6). IEEE. Link: https://ieeexplore.ieee.org/abstract/document/10103280
  7. M. S. Hasan Talukder, M. N. Hasan, R. I. Sultan, M. Rahman, A. K. Sarkar and S. Akter, “An Enhanced Method for Encrypting Image and Text Data Simultaneously using AES Algorithm and LSB-Based Steganography,” 2022 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), 2022, pp. 1-5, doi: 10.1109/ICAEEE54957.2022.9836589. Link: https://ieeexplore.ieee.org/document/9836589. Publisher: IEEE
  8. M.S. Hasan Talukder, A.K. Sarkar and Md. Nuhi Alamin, “An Improved Model for Nutrient Deficiency Diagnosis of Rice Plant by Ensemble Learning”, 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), 17-18 December, Dhaka. Link: https://ieeexplore.ieee.org/abstract/document/10103280 Publisher: IEEE

 

❖ Ongoing Research Activities:

I am a member of the research team “STEMResearch.ai” led by Rejwan Bin Sulaiman, who is both a Lecturer and a PhD student at Northumbria University, UK. Within this group, my primary role involves coding the implementation of research projects and actively participating in manuscript writing. As a team, we have successfully completed several projects and have submitted our work to various international journals for publication. By working closely with Rejwan Bin Sulaiman and the rest of the research team at STEMResearch.ai, I have gained valuable experience in coding and contributing to the research process. Our collaborative efforts have yielded significant results, which we have documented and shared with the scientific community through submissions to renowned international journals.

❖ Research Interest:

Machine learning in Healthcare, Early diseases diagnosis, Medical Image processing, Transfer learning, Ensemble learning, Biosignal processing.

❖  Engineer (Electrical and Electronics)
Nuclear Safety, Security and Safeguard Division
Bangladesh Atomic Energy Regulatory Authority (BAERA), Bangladesh (From 17 June, 2021 to Present)

Extra Curricular Activities:

❖  Member of EEE association KUET (July 2016-february 2019).

❖  Member of KUET career club.

❖  Participated in “TECH FISTA”in 2017.

Honours and Awards:

❖ Dean Award: 2 times for achieving average 3.75 up in consecutive 2 semesters in one year.
❖ Board Scholarship: 1 time for outstanding result in class 8.
❖ Technical Scholarship: 3 times for outstanding result in KUET.

❖  Lecturer
Department of Electrical and Electronic Engineering
Bangladesh Army University of Engineering and Technology, Bangladesh (From 10 February, 2020 to 25 March, 2021)

❖ Lecturer
Department of Electrical and Electronic Engineering
Sheikh Fazilatunnesa Mujib University, Jamalpur, Bangladesh (From 1 September-2019 to 2 March, 2020)