Department of Computer Science and Engineering
Mr. Md. Shahriar Shakil  Lecturer
Name :
Mr. Md. Shahriar Shakil
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
+8809617901233
Cell-Phone
+88 01646329726

B. Sc. & M. Sc. 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

Journal Articles

  1. Md. S. Shakil, M. Z. Hasan, et al., “A Semi-Supervised Prototypical Learning Approach for Liver Fibrosis Staging in Ultrasound Imaging,” Healthcare Analytics, accepted for publication, Apr. 2026.
  2. Md. Z. Hasan, Md. S. Shakil, et al., “A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2026.
  3. S. Shakil, A. A. K. Akash, et al., “PithaNet: A Transfer Learning-Based Approach for Traditional Pitha Classification,” International Journal of Electrical and Computer Engineering, vol. 13, no. 5, 2023.
  4. A. Sohel, M. S. Shakil, et al., “Enhanced Potato Pest Identification: A Deep Learning Approach,” IEEE Access, vol. 12, 2024.
  5. M. S. H. Shaon, T. Karim, M. S. Shakil, et al., “Machine Learning Models with LASSO and SHAP for Breast Cancer Prediction,” Healthcare Analytics, vol. 6, 2024.
  6. M. Hassan, S. Shakil, et al., “Sentiment Analysis on Bangla Conversation Using Machine Learning,” IJECE, vol. 12, no. 5, 2022.
  7. N. N. Moon, R. A. Hossain, I. Jahan, S. Shakil, et al., “Predicting the Mental Health of Rural Bangladeshi Children in COVID-19,” IJECE, vol. 12, no. 5, 2022.
  8. A. S. Afridi, A. Kafy, M. N. N. Moon, and M. S. Shakil, “A Multi-Class Driver Behavior Dataset for Real-Time Detection,” Data in Brief, vol. 60, 2025.

Conference Papers

  1. R. Moni, Md. Z. Hasan, Md. S. Shakil, et al., “An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection,” Lecture Notes in Networks and Systems, Springer, 2024.
  2. T. Hasan, Md. S. Shakil, et al., “Racism and Body-Shaming Detection in Bangla Conversation,” in Proc. Sixth Int. Conf. on Digital Age & Technological Advances for Sustainable Development, accepted, 2026.
  3. T. Hasan, N. R. Chakraborty, S. Shakil, S. Sultana, and M. Karmakar, “Racism and Body-Shaming Detection in Bangla Conversation: A Text Mining Approach,” in Computer Sciences for Sustainable Development, Lecture Notes in Networks and Systems, vol. 1924, 2026.
  • 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)