RFF

Rafid Ahnaf

Lecturer

rafid.ahnaf@bracu.ac.bd

Address

CSE Department
4th floor, Room No # 4M133,
Brac University,
Kha 224 Bir Uttam Rafiqul Islam Avenue,
Merul Badda, Dhaka, Bangladesh

Rafid Ahnaf is a Lecturer in the Department of Computer Science and Engineering at BRAC University. He completed his B.Sc. in Computer Science and Engineering from BRAC University and has been involved in teaching at the university since 2022, serving as a Student Tutor, Adjunct Lecturer, and currently as a full-time Lecturer. His teaching experience includes courses such as CSE101/CSE103: Introduction to Computing, CSE260: Digital Logic Design, and CSE461: Introduction to Robotics.


His teaching interests focus on combining theoretical concepts with practical, hands-on learning. He has also been serving as the Lab Coordinator for CSE461: Introduction to Robotics, where he contributes to organizing and improving laboratory activities and practical learning experiences for students.


His research interests primarily include AI in Healthcare, Trustworthy AI, Image Processing, Machine Learning, and Deep Learning, with a particular interest in applying AI techniques to healthcare and medical applications.

  • Lecturer, Department of CSE, BRAC University - September 2025 - Present
    Teaching undergraduate courses including CSE461: Introduction to Robotics, CSE260: Digital Logic Design, and CSE101/CSE103: Introduction to Computing.
  • Lab Coordinator, BRAC University - 2025 - Present
    Coordinating CSE461: Introduction to Robotics lab activities and supporting the development of hands-on learning experiences.
  • Adjunct Lecturer, Department of CSE, BRAC University - May 2024 - September 2025
    Taught Introduction to Robotics, Data Structures, Digital Logic Design, and Introduction to Computing.
  • Student Tutor, BRAC University - June 2022 - August 2023
    Provided academic support for CSE110: Programming Language I and CSE111: Programming Language II.
  • Research Activities
    Engaged in research involving Machine Learning, Deep Learning, medical imaging, and AI-based healthcare applications.
  • Merit Scholarship, BRAC University
  • Vice Chancellor's List, BRAC University 
  • Dean's List, BRAC University

 

Thesis

Accepting


As:

Co-supervisor

Level:

Undergraduate

Type:

  • Thesis

Research Interest

AI in Healthcare, Trustworthy AI, Image Processing, Machine Learning, and Deep Learning, with a particular interest in applying AI techniques to healthcare and medical applications.


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