Md. Jalal Uddin Chowdhury

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

Contact Information

Cell Phone: +8801646-705394

Biography

๐€๐œ๐š๐๐ž๐ฆ๐ข๐œ ๐๐š๐œ๐ค๐ ๐ซ๐จ๐ฎ๐ง๐:
B.Sc. in CSE, Leading University, Sylhet.

๐€๐œ๐ก๐ข๐ž๐ฏ๐ž๐ฆ๐ž๐ง๐ญ:
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. Structure Programming (Theory & Sessional)
  2. Computer Algorithms & Complexity (Theory & Sessional)
  3. Object Oriented Programming (Theory & Sessional)
  4. Java Programming (Theory & Sessional)
  5. Compiler Design and Construction (Theory & Sessional)
  6. Machine Learning (Theory & Sessional)

 

Publications:

  1. Zummon, S.A., Chowdhury, M.J.U. (2025) Enhancing Neurological Care: Multi-Label Classification Framework for Brain Disease Detection Using MRI. 2025 4th International Conference on Electrical, Computer and Communication Engineering (ECCE 2025). IEEE (Accepted)
  2. Rashid, D., Tohin, M. I., Chowdhury, M. J. U., & Mony, M. J. I. (2024, December). Enhancing Lung Cancer Classification Performance on Diverse Datasets: Utilizing Advanced Feature Selection and Novel Ensemble Approaches. 2024 27th International Conference on Computer and Information Technology. IEEE (Presented)
  3. Tusar, S.D., Chowdhury, S.M.A.A., Chowdhury, M.J.U., Pir., R.M., Alam., H.M.N.A., Rahman., M.R.,ย  Siddiky., M.N.A., Rahman, M.E. (2024) Advancing Chronic Kidney Disease Prediction through Machine Learning and Deep Learning with Feature Analysis. Frontiers in Health Informatics, 13 (3), 11338-11348.
  4. 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.
  5. 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. Inย 2024 IEEE 10th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)ย (pp. 119-124). IEEE.
  6. 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.
  7. 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 Bangladeshโ€™s Perspective. International Journal of Science and Business, 28(1), 193-204.
  8. 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.

 

Profile Links:

 

Others Responsibilities:

  • - Member Secretary, Departmental Research Community (CSE), (Feb'24 - Present)
  • - Advisor, CSE 58th Batch

 

Publications