Md. Jamaner Rahaman

Lecturer
Computer Science & Engineering

Contact Information

Cell Phone: 01310817573

Biography

Professional Experiences:
1. Lecturer, Dept. of CSE (01 Feb 2021---Continue)
Leading University, Sylhet
2. Lecturer, Dept. of CSE (07 Mar 2020---31 Jan 2021)
UCASM, Dhaka
3. Research Associate, Dept. of CSE (01 Jan 2017---30 Apr 2018)
Daffodil International University, Dhaka

Academic Qualifications:
1. M.Sc.(Thesis) in Computer Science & Engineering
Daffodil International University, Dhaka
2. B.Sc. in Computer Science & Engineering
Daffodil International University, Dhaka

Area of Study

Research Interests:

  1. Machine Learning
  2. Deep Learning
  3. Artificial Intelligence
  4. NLP

Portfolio Link: https://sites.google.com/view/mdjamanerrahaman/

Other Responsibilities:

  1.  Member, Seminar & Workshop Committee
  2.  Member, Innovation Hub Committee
  3.  Member, Course Distribution & Offering
  4. Coordinator, Adjunct & Guest Faculty

Teaching Areas:

  1. Structured Programming (C)

  2. Object-oriented programming (Java)

  3. Introduction to Computers (Python)

  4. Artificial Intelligence

  5. Digital Signal Processing

  6. Database Management System

  7. Microprocessor, Assembly Language and Computer Interfacing

  8. Theory of Computation

  9. Algorithms

 

Publications:

Conferences:

1. M. D. Proma, K. Akther, B. S. Priya, M. J. Rahaman and M. S. R. Kohinoor, "Assessing the Robustness of Machine Learning Algorithms for Cardiovascular Disease Detection Across Diverse Clinical Datasets," 2023 1st International Conference on Advanced Engineering and Technologies (ICONNIC), Kediri, Indonesia, 2023, pp. 298-303, doi: http://dx.doi.org/10.1109/ICONNIC59854.2023.10467465

Reading full paper:

https://www.researchgate.net/publication/379154402_Assessing_the_Robustness_of_Machine_Learning_Algorithms_for_Cardiovascular_Disease_Detection_Across_Diverse_Clinical_Datasets

Journals:

1. Md. Jamaner Rahaman, "Evaluate the Predictive Performance of Supervised Machine Learning Algorithms in Diabetes Dataset", International Journal of Science and Research (IJSR), Volume 13 Issue 7, July 2024, pp. 538-543, https://www.ijsr.net/getabstract.php?paperid=SR24708194212

DOI: http://dx.doi.org/10.21275/SR24708194212