FMK

Md Saif Mokarrom

Lecturer

saif.mokarrom@bracu.ac.bd

Address

CSE Department
4th floor, Room No # 4P189,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh

Md Saif Mokarrom is a Lecturer at the Department of Computer Science and Engineering, BRAC University. He completed his undergraduate studies in CSE from the same department. With over a year of experience as a Machine Learning Engineer specializing in Computer Vision, his interests lie at the intersection of artificial intelligence, image analysis, and applied deep learning. He is particularly passionate about bridging academic foundations with practical machine learning solutions.

  • Lecturer

         Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh.

         Duration: May 2026 - Present
 

  • Adjunct Lecturer

         Department of Computer Science and Engineering, BRAC University, Dhaka, Bangladesh.

         Duration: June 2024 - May 2026

 

  • Student Tutor (ST)

         BRAC University, Dhaka, Bangladesh.

         Duration: January 2023 - April 2024

 

  • First Year Advising Team (FYAT) Mentor

         BRAC University, Dhaka, Bangladesh.

         Duration: September 2022 - January 2024

Graduated with Highest Distinction

Earned a place on the Vice-Chancellor’s Honor List in 6 out of 11 semesters.

Earned a place on the Dean’s Honor List in 2 out of 11 semesters.

Lecturer 

  • CSE420 - Compiler Design (Theory)
  • CSE420 - Compiler Design (Lab)
  • CSE330 - Numerical Methods (Lab)

 

Adjunct Lecturer 

  • CSE420 - Compiler Design (Theory)
  • CSE101 - Introduction to Computer Science (Theory)
  • CSE101 - Introduction to Computer Science (Lab)
  • CSE110 - Programming Language I (Lab)
  • CSE220 - Data Structures (Lab)
  • CSE420 - Compiler Design (Lab)
  • CSE422 - Artificial Intelligence (Lab)


Student Tutor (ST)

  • CSE221 - Algorithms
  • PHY111 - Principles of Physics I

Thesis

Accepting


As:

  • Supervisor
  • Co-supervisor

Level:

Undergraduate

Type:

  • Thesis
  • Project

Research Interest

Computer Vision, Vision-Language Models (VLMs), Machine Learning and Deep Learning.


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