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Faculty Agricultural Engineering and Technology Computer Science and Engineering Faculty Members Md. Khalid Hossen

Md. Khalid Hossen

Associate Professor

MSc (thesis), Department of Scientific Computing, Memorial University of Canada. MSc (thesis) with distinction & BSc, Shahjalal University of Science and Technology (SUST).

(Study Leave)

Research interests: Scientific Computing, Machine Learning & AI, Big Data, Computational Agriculture

khalid@sau.ac.bd

mkhalidk@mun.ca
+8801308227972
Dept. of Computer Science and Engineering

Publication Profile

  • Hossen, M. K. (2022). A Study of Large-eddy Simulation using Statistical and Machine Learning Techniques. Journal of Engineering Advancements, 3(03), 96–103. https://doi.org/10.38032/jea.2022.03.004
  • "Statistical Analysis of Dynamic Subgrid Modeling Approaches in Large Eddy Simulation", Mohammad Khalid Hossen, Asokan Mulayath Variyath and Jahrul M. Alam. MDPI, Aerospace 2021, 8, 375. https://doi.org/10.3390/aerospace8120375 .
  • Mohammed Khalid Hossen. Heart Disease Prediction Using Machine Learning Techniques. American Journal of Computer Science and Technology. Vol. 5, No. 3, 2022, pp. 146-154. doi: 10.11648/j.ajcst.20220503.11.
  • Mohammed Khalid Hossen, Anika Tabassum, Dr. JannatulFerdaus, DiabeticRisk "Machine Prediction Learning-Based Model for Early Detection ", International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 10 Issue 5, pp. 532-542, September- October 2023. Available at doi: https://doi.org/10.32628/IJSRST5231057
  • "Application of Python-OpenCV to detect contour of shapes and colour of a real image". Mohammed Khalid Hossen, Sayed Mashequl Bari, Partho Protim Barman, Rana Roy, Pranajit Kumar Das. International Journal of Novel Research in Computer Science and Software Engineering Vol. 9, Issue 2, pp: (20-25), Month: May - August 2022, ISSN 2394-7314. DOI: https://doi.org/10.5281/zenodo.6576264
  • "The method of lines technique in a boundary-fitted curvilinear grid model to simulate 2004 Indian Ocean tsunami” Ashaque Meah M., Fazlul Karim M., Shah Noor M., Khalid Hossen M. and Pg Md Esa Al-Islam. International Research Journal of Engineering Science, Technology and Innovation (IRJESTI) (ISSN-2315-5663) Vol. 2(3) pp. 40-50, March, 2013.
  • "Numerical Modelling of 2004 Indonesian Tsunami along the coast of Phuket." Khalid Hossen M., A. Singha , M. S. Mia IOSR Journal of Mathematics (IOSR-JM), e-ISSN: 2278-5728, p-ISSN: 2319-765X. Volume 11, Issue 5 Ver. IV (Sep. - Oct. 2015), PP 63-71. DOI:10.9790/5728-11546371
  • "Combined Effect of Moving and Open Boundary Conditions in the Simulation of Inland Inundation Due to Far Field Tsunami." Ashaque Meah M., Fazlul Karim M., Shah Noor M., Papri N. and Khalid Hossen M. M. Ismoen. World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:10, No:2, 2016, DOI: scholar.waset.org/1999.4/10003593.

Proceeding Papers

  • Statistical analysis of the role of vortex stretching in large eddy simulation. Mohammad Khalid Hossen, Asokan Mulayath Variyath and Jahrul M. Alam. Proceedings of the 29th Annual Conference of the Computational Fluid Dynamics Society of Canada, CFDSC2021, July 27-29, 2021, Online.