Md. Jalal Uddin Chowdhury

Lecturer
Co-Advisor, IEEE Computer Society LU SB Chapter
Computer Science & Engineering

Contact Information

Cell Phone: +8801646-705394

Biography

Academic Background:
B.Sc in CSE, Leading University, Sylhet.

Achievement:
Dean's Award from Leading University for Academic Excellence

Area of Study

Research Interest:

  1. Machine Learning
  2. Deep Learning
  3. Computer Vision
  4. Natural Language Processing

Teaching Areas:

  1. Computer Algorithms & Complexity (Theory & Sessional)
  2. Object Oriented Programming (Theory & Sessional)
  3. Java Programming (Theory & Sessional)
  4. Compiler Design and Construction (Theory & Sessional)
  5. Machine Learning (Theory & Sessional)

Publications:

  1. Sakib, S., Siddiky, M. N. A., Arifuzzaman, M., & Chowdhury, M. J. U. (2024, July). Optimizing Facial Recognition: An Analytical Comparison of Traditional and Deep Learning Approaches. In 2024 International Conference on Data Science and Its Applications (ICoDSA) (pp. 271-276). IEEE.
  2. Arifuzzaman, M., Chowdhury, M. J. U., Ahmed, I., Siddiky, M. N. A., & Rashid, D. (2024, July). Heart Disease Prediction through Enhanced Machine Learning and Diverse Feature Selection Approaches. In 2024 IEEE 10th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) (pp. 119-124). IEEE.
  3. Chowdhury, M. J. U., & Kibria, S. (2023). Performance Analysis for Convolutional Neural Network Architectures Using Brain Tumor Datasets: A Proposed System. 2023 International Workshop on Artificial Intelligence and Image Processing (IWAIIP) (pp. 0163-0167). IEEE.
  4. Chowdhury, M. J. U., Mou, Z.I., Afrin, R. & Kibria, S. (2023). Plant Leaf Disease Detection and Classification Using Deep Learning: A Review and A Proposed System on Bangladesh’s Perspective. International Journal of Science and Business, 28(1), 193-204.
  5. Chowdhury, M. J. U., Hussan, A., Hridoy, D. A. I., & Sikder, A. S. (2023, March). Incorporating an Integrated Software System for Stroke Prediction using Machine Learning Algorithms and Artificial Neural Network. In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0222-0228). IEEE.

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