Faculty Details

Md. Abid Afsan Hamid

Md. Abid Afsan Hamid

Department Computer Science and Engineering
Designation Lecturer
Email [email protected]
Phone 01518642275
Website

Educational Qualifications

Khulna University

MSc. Engg. in Computer Science and Engineering

  • Running (Current CGPA: 4.00 out of 4.00 over two completed terms).

Khulna University

BSc. Engg. in Computer Science and Engineering

  • CGPA: 3.86 (Distinction) out of 4.00
  • Standing First and Received Dean’s Award
  • Graduation Date: 5th February 2023

Dr. Shaiful Islam College, Katgara

Higher Secondary School Certificate (HSC), Jessore Board

  • GPA: 5.00 out of 5.00
  • Received Board Scholarship
  • Year of Passing: 2017

Chandpara Secondary School

Secondary School Certificate (SSC), Jessore Board

  • GPA: 5.00 out of 5.00
  • Received Board Scholarship
  • Year of Passing: 2015

Research Experience

Undergraduate Research: My undergraduate research was related to Software Engineering entitled “Ranking Co-change Candidates Suggested by FLeCCS Using Programmer Sensitivity” which was published in Elsevier's Science of Computer Programming (SCP) journal. In our research, we incorporate Programmer Sensitivity and introduce a Composite Ranking mechanism that considers File Proximity, Similarity Extent and Programmer Sensitivity in ranking the co-change candidates suggested by FLeCCS.

Graduate Research: My graduate research was related to the Software Evolution and Maintenance entitled “Improving the Suggestion Making Accuracy of FLeCCS Using Semantics”. The suggestion making capability of the state-of-the art technique FLeCCS is limited. To enhance the suggestion-making capability of FLeCCS, we propose iFLeCCS, which integrates the semantic relationship inferring capability of ID-Correspondence with FLeCCS for improved co-change suggestions.

Other Researches:

  • ResCrabNet: A Deep Transfer Learning Approach for Improved Crab Species Classification with Explainable AI was published on ICACIT 2024.

DenseCucumberNet: An Enhanced Model for Interpretable Detection of Cucumber Diseases on ICACIT 2024.

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