AFQ

Mohammed Ashfaqul Haque

Lecturer

ashfaqul.haque@bracu.ac.bd

Websites

https://www.linkedin.com/in/mah383/ https://www.researchgate.net/profile/Mohammed-Ashfaqul-Haque

Address

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

Mohammed Ashfaqul Haque is a Lecturer in the Department of Computer Science and Engineering (CSE) at BRAC University, Dhaka, Bangladesh. He completed both his B.Sc. in Computer Science and Engineering from BRAC University, graduating with the highest distinction. Before stepping into his current full-time role, he served as an adjunct faculty member for 1.5 years, where he actively mentored students and shaped learning experiences in core technical courses. 

 

He is also open to undergraduate thesis collaborations in machine learning, deep learning, and artificial intelligence, and welcomes opportunities for both supervision and co-supervision. 

 

  1. Labib Hasan Khan, Mohammed Ashfaqul Haque, Esaba Ahnaf Ibrahim, Moin Mostakim, Muhammad Iqbal Hossain, “Interpretable MOOC Dropout Prediction using Different Ensemble Methods and XAI”, in *Proc. of the 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023. 
    [Paper Link]

 

  • Lecturer, Dept of CSE
     BRAC University. June 2025 - Present
  • Adjunct Lecturer, Dept of CSE 
     BRAC University. Jan 2024 - May 2025
  • Student Tutor (ST), Dept of CSE
     BRAC University. Oct 2021 - April 2022 
  • 100% Merit-Based Scholarship in BSc, BRAC University based on Admission Test Results 
  • Daily Star Award in A Levels  
  • Edexcel Highest Achiever Award in O Levels
  • Daily Star Award in O Levels

 

Theory Courses

  • CSE220: Data Structures
  • CSE260: Digital Logic Design
  • CSE340: Computer Architecture
  • CSE370: Database Systems

 

Lab Courses

  • CSE220 L: Data Structures
  • CSE260 L: Digital Logic Design Laboratory
  • CSE370 L: Database Systems

Thesis

Accepting


As:

  • Supervisor
  • Co-supervisor

Level:

Undergraduate

Type:

  • Thesis

Research Interest

  • Machine Learning
  • Deep Learning
  • Artificial Intelligence 

©2025 BracU CSE Department