Department of Computer Science and Engineering
Mr. Md. Shahriar Shakil  Lecturer
Name :
Mr. Md. Shahriar Shakil
Employee ID
710003370
Designation
Lecturer  
Department
Department of Computer Science and Engineering
Faculty
Faculty of Science and Information Technology
Personal Webpage
https://faculty.daffodilvarsity.edu.bd/profile/cse/shakilcse.html
E-mail
shakil.cse@diu.edu.bd
Phone
Cell-Phone
01646329726

Bachelor of Science in Computer Science and Engineering,
Daffodil International University, Dhaka

  1. Monthly Training: Edpuzzle and Online Course Creation” by HRDI, 2024
  2. Orientation & Induction Training for Teachers: Spring 2024
  3. Social Innovation Project by HRDI, 2022
  4. Personal & Professional Development: Alternative Assessment Tools  by HRDI, 2022
  5. Personal & Professional Development: Research Methodology  by HRDI, 2022
  6. Future of Teaching and Learning  by HRDI, 2022
  7. Personal & Professional Development: Learner-Centric Classroom  by HRDI, 2022
  8. Residential Personal & Professional Development: Metamorphosis  by HRDI, 2022
  9. Personal & Professional Development: Making an Online Course and Edpuzzle  by HRDI, 2022
  • Programming and Problem Solving
  • Data Structure
  • Object Oriented Programming
  • Database Management System
  • Data Mining & Machine Learning
 Journals:
  1. Md. S. H. Shaon, T. Karim, Md. S. Shakil, and Md. Z. Hasan, “A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction,” Healthcare Analytics, vol. 6, p. 100353, Dec. 2024, doi: 10.1016/j.health.2024.100353.
  2. S. Shakil, A. A. K. Akash, N. Nabi, M. Hassan, and A. Haque, “PithaNet: A transfer learning-based approach for traditional pitha classification,” International Journal of Electrical and Computer Engineering (IJECE), vol. 13, no. 5, p. 5431, Oct. 2023, doi: 10.11591/ijece.v13i5.pp5431-5443.
  3. M. Hassan, S. Shakil, N. N. Moon, M. M. Islam, R. A. Hossain, A. Mariam, and F.N. Nur, “Sentiment analysis on Bangla conversation using machine learning approach,” International Journal of Electrical and Computer Engineering (IJECE), vol. 12, no. 5, p. 5562, Oct. 2022, doi: 10.11591/ijece.v12i5.pp5562-5572.
  4. N. N. Moon, R. A. Hossain, I. Jahan, S. Shakil, S. Uddin, M. Hasan, and F.N. Nur, “Predicting the mental health of rural Bangladeshi children in coronavirus disease 2019,” International Journal of Electrical and Computer Engineering (IJECE), vol. 12, no. 5, p. 5501, Oct. 2022, doi: 10.11591/ijece.v12i5.pp5501-5510.

 

Conference:

  1. R. Moni, Md. Zahid Hasan, Md. Shahriar Shakil, Most. J. Ferdous, M. S. Arefin, and T. Bhuiyan, “An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection by Analyzing S Protein Sequences,” 2024, pp. 441–453. doi: 10.1007/978-981-99-8937-9_30.
  • Machine Learning
  • Image Processing
  • Deep Learning
  • Bio-Informatics
  • Computer Vision
  • Natural Language Processing
  • General Board Scholarship for Excellent Results in Primary Examination.
  1. Lecturer (Contractual), Daffodil International University, Dhaka (January 2023 – December 2023)
  2. Teaching Apprentice Fellow,  Daffodil International University, Dhaka (February 2022 – December 2023)
  3. ML Trainee Programmer, Expert Consortium Ltd. Dhaka (June 2021 – January 2022)