Department of Computer Science and Engineering
Mr. Md. Shahriar Shakil  Lecturer (Senior Scale)
Name :
Mr. Md. Shahriar Shakil
Designation
Lecturer (Senior Scale)  
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

Master of Science (M.Sc.) in Computer Science and Engineering (Major in Data Science)
Daffodil International University, Dhaka, Bangladesh

Bachelor of Science (B.Sc.) in Computer Science and Engineering
Daffodil International University, Dhaka, Bangladesh

  • Intellectual Property Rights, Innovation, Technology Transfer & Patents, Department of Computer Science and Engineering (CSE), Daffodil International University, 2026
  • Continuous Quality Improvement (CQI) in Higher Education, IQAC, Daffodil International University, 2026
  • Advanced Workshop on Complex Engineering Problem (CEP) Solving: Integrating Accreditation Standards, Department of Computer Science and Engineering (CSE), Daffodil International University, 2025
  • Orientation & Induction Training for Teachers: Spring 2024, Daffodil International University, 2024
  • Monthly Training: Edpuzzle and Online Course Creation, HRDI, Daffodil International University, 2024
  • University Rules and Regulations, SmartEdu, Email Etiquette & IT Facilities at DIU, Daffodil International University, 2024
  • Institutional Best Practices for Navigating Continuous Innovation in Education, Daffodil International University, 2024
  • Outcome-Based Lesson Preparation for Effective Teaching, Daffodil International University, 2024
  • Research Culture at DIU & High-Impact Publication, Daffodil International University, 2024
  • Using ERP for Advising, Mentoring and Counseling, Daffodil International University, 2024
  • Understanding Teaching Pedagogy and Andragogy for Effective Tertiary Teaching, Daffodil International University, 2024
  • Effective Student Communication: Feedback Strategies and English as a Medium of Instruction, Daffodil International University, 2024
  • Student-Centric Classroom Design, Daffodil International University, 2024
  • Using Online Facilities in Teaching: Blended Learning Center & Online Resources, Daffodil International University, 2024
  • Classroom Management & Teaching Strategies at Tertiary Level, Daffodil International University, 2024
  • BLC & Edpuzzle: Technical Training, Daffodil International University, 2024
  • Effective Assessment & Feedback for Quality Education, Question Preparation and Course File Preparation, Daffodil International University, 2024
  • Outcome-Based Education (OBE) & Bloom’s Taxonomy, Daffodil International University, 2024
  • Exam Control, Rules & Regulations, Daffodil International University, 2024
  • Social Innovation Project, HRDI, Daffodil International University, 2022
  • Personal & Professional Development: Alternative Assessment Tools, HRDI, Daffodil International University, 2022
  • Personal & Professional Development: Research Methodology, HRDI, Daffodil International University, 2022
  • Future of Teaching and Learning, HRDI, Daffodil International University, 2022
  • Personal & Professional Development: Learner-Centric Classroom, HRDI, Daffodil International University, 2022
  • Residential Personal & Professional Development: Metamorphosis, HRDI, Daffodil International University, 2022
  • Personal & Professional Development: Making an Online Course and Edpuzzle, HRDI, Daffodil International University, 2022
  • Database Management System
  • Artificial Intelligence
  • Machine Learing
  • Computer Vision
  • Introduction to Data Science

Journal Articles

  1. M. I. P. Khokan, T. M. Tapu, Md. S. Shakil, et al., “FedGNN: Decentralized Federated GNN with Gradient Masking and Dynamic Feature Pruning for Heterogeneous ECG Classification,” Expert Systems with Applications, article 134644, published online, 2026. DOI
  2. Md. S. Shakil, Md. Z. Hasan, et al., “A Semi-Supervised Prototypical Learning Approach for Liver Fibrosis Staging in Ultrasound Imaging,” Healthcare Analytics, vol. 9, article 100464, 2026. DOI
  3. 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 Transactions on Computational Biology and Bioinformatics, vol. 23, no. 3, 2026. DOI
  4. A. S. Afridi, A. Kafy, N. N. Moon, and Md. S. Shakil, “A Multi-Class Driver Behavior Dataset for Real-Time Detection and Road Safety Enhancement,” Data in Brief, vol. 60, article 111529, 2025. DOI
  5. 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, article 100353, 2024. DOI
  6. A. Sohel, Md. S. Shakil, et al., “Enhanced Potato Pest Identification: A Deep Learning Approach for Identifying Potato Pests,” IEEE Access, vol. 12, pp. 172149–172161, 2024. DOI
  7. 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, pp. 5431–5443, 2023. DOI
  8. M. Hassan, S. Shakil, et al., “Sentiment Analysis on Bangla Conversation Using Machine Learning Approach,” International Journal of Electrical and Computer Engineering, vol. 12, no. 5, pp. 5562–5572, 2022. DOI
  9. N. N. Moon, R. A. Hossain, I. Jahan, S. Shakil, et al., “Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019,” International Journal of Electrical and Computer Engineering, vol. 12, no. 5, pp. 5501–5510, 2022. DOI

Conference Papers

  1. 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, Springer, pp. 371–382, 2026. DOI
  2. R. Moni, Md. Z. Hasan, Md. S. Shakil, et al., “An Ensemble-Based Machine Learning Approach to Identify SARS-CoV-2 Virus Infection by Analyzing S Protein Sequences,” in Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning, Lecture Notes in Networks and Systems, vol. 867, Springer, pp. 441–453, 2024. DOI
  • Machine Learning & Deep Learning
  • Computer Vision & Medical Image Analysis
  • Artificial Intelligence in Healthcare
  • Federated Learning & Graph Neural Networks
  • Explainable Artificial Intelligence (XAI)
  • Bioinformatics & Computational Biology
  • Natural Language Processing & Bangla Text Analytics
  • Semi-Supervised Learning & Transfer Learning
  • General Board Scholarship for Excellent Results in Primary Examination.
  1. Lecturer (Full-Time), Daffodil International University, Dhaka (January 2024 – August 2026)

  2. Lecturer (Contractual), Daffodil International University, Dhaka (January 2023 – December 2023)

  3. Teaching Apprentice Fellow (Teaching Assistant), Daffodil International University, Dhaka (February 2022 – December 2023)

  4. ML Trainee Programmer, Expert Consortium Ltd., Dhaka (June 2021 – January 2022)