Abrar Taher

Abrar Taher

Biography:

I am a Computer Science and Engineering graduate and currently serve as a Junior Instructor in the Computer Science program at Asian University for Women, Bangladesh. My research lies at the intersection of deep learning, medical image analysis, multimodal learning, computer vision, and trustworthy AI.

My work focuses on developing learning systems that extract and integrate clinically meaningful information from complex biomedical data, including MRI, X-ray, histopathological, and retinal fundus images. I am particularly interested in pathology-preserving feature extraction, explainable AI (XAI), knowledge distillation, and federated learning for healthcare applications.

I am actively seeking PhD opportunities in medical image processing, multimodal representation learning, and interpretable AI systems for healthcare.

Research Interests:

  1. Multimodal Information Retrieval
  2. AI in Healthcare
  3. Medical Image Processing
  4. Computer Vision
  5. Explainable AI
  6. Deep Learning & Statistical ML

Read Full Research Interest Statement (PDF)

Ongoing Work

Master's Thesis: Pathology Preserving Lesion-Vessel Interaction Learning for Progression-Aware Diabetic Retinopathy Grading

Investigating retinal biomarker characteristics and lesion-vessel structural relationships to capture clinically relevant pathological and vascular information across different stages of diabetic retinopathy. Integrating vascular abnormalities with progression-aware ordinal learning to model ordered disease severity transitions, while exploring knowledge distillation to transfer diagnostic representations to lightweight deployment models.

Education

Chittagong University of Engineering and Technology

M.Sc. in Computer Science and Engineering (2024 – 2026)

CGPA: 3.83 / 4.00 (Thesis Pending)

Thesis: Pathology Preserving Lesion-Vessel Interaction Learning for Progression-Aware Diabetic Retinopathy Grading

Courses: Computer Vision, Big Data, Natural Language Processing, Computer Arithmetic, Bioinformatics.

Chittagong University of Engineering and Technology

B.Sc. in Computer Science and Engineering (2018 – 2023)

CGPA: 3.37 / 4.00 (Last four semesters CGPA: 3.78 / 4.00)

Thesis: A Deep Learning Approach for Multiclass Brain Tumor Classification and Segmentation

Supervisor: Ms. Sabiha Anan, Assistant Professor, Dept. of CSE

Skills & Test Scores

Programming & Data Stack

  • Languages: Python, C, PHP, MySQL
  • Frameworks & Libraries: PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, Seaborn, Matplotlib

Paradigms & Core Domains

  • AI/ML: Machine Learning, Deep Learning, Computer Vision, Medical Image Processing, Explainable AI
  • Theoretical: Algorithm Design, Statistical Modeling

Tools & Environments

  • Tools: Colab, Jupyter, Kaggle, Git/GitHub, Overleaf, Draw.io, Lucidchart, Power BI
  • Web Development: HTML5, CSS3, Node.js

Language Proficiency

  • IELTS Academic: Overall Band Score 7.0 (Listening: 8.0, Reading: 6.5, Writing: 6.5, Speaking: 6.5)

Publications

Conference Papers & Accepted Articles

  • "TrustKD-LULC: Reliable Knowledge Distillation for Remote Sensing Image Classification", ICECER 2026 (Accepted).
  • S. Saikat, A. Taher, et al. "An Explainable Ensemble Framework for Multi-Level Diabetic Retinopathy Classification", 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). [DOI]
  • S. Mallick, A. Debnath, A. Taher, et al. "Early Detection of Diabetic Retinopathy using Novel Pre-Processing of Retinal Fundus Images", 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). [DOI]
  • A. Debnath, S. Mallick, A. Taher, et al. "Gamma-CLAHE Enhanced InceptionV3 for Alzheimer's and Parkinson's Disease Detection with Explainable MRI Insights", 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). [DOI]
  • S. Mallick, A. Debnath, A. Taher, and A. Mozumder. "BreaKNet: Fusing Depthwise Convolutional and Shifted-Window Attention Features for Multiclass Breast Tumor Subtype Classification on Histopathological Images", Proceedings of the 2026 6th International Conference on Electrical, Computer and Energy Technologies (ICECET).
  • A. Taher, W. I. Z. Ayon, and M. S. Hossain (2024). "Histopathological Image-Based Classification of Lung and Colon Cancer Using Deep Learning Architectures with Preprocessing Enhancements", 27th International Conference on Computer and Information Technology (ICCIT). [DOI]
  • A. Taher and W. I. Z. Ayon (2024). "Exploring Sleep Disorders: A Comparative Analysis of Machine Learning Algorithms on Sleep Health and Lifestyle Data", IEEE International Conference on Power, Electrical, Electronics, and Industrial Applications (PEEIACON-24). [DOI]
  • A. Taher and S. Anan (2023). "Multiclass Brain Tumor Classification and Segmentation from 2D MR Images: A Deep Learning Approach Using Custom CNN and Residual Attention U-Net", 26th International Conference on Computer and Information Technology (ICCIT), pp. 1–6. [DOI]

View Comprehensive Research Summary (PDF)

Teaching & Work Experience

Asian University For Women — Department of Computer Science

Junior Instructor (January 14, 2024 – Present)

  • COMP500: Computational Thinking and Programming
  • COMP600: Advanced Programming with Python
  • COMP400: Computer Fundamentals
  • COMP100: Computer Literacy
  • Harvard CS50 Course Facilitation

Port City International University — Dept. of CSE

Lecturer (July 04, 2023 – January 03, 2024)

  • Structured Programming
  • Discrete Mathematics
  • Computer Fundamentals and Programming Techniques

Honors and Awards

  • BTEB Scholarship: Awarded the Bangladesh Technical Education Board (BTEB) Scholarship based on term academic performance.
  • Merit-Based Scholarship: Received Merit-Based Scholarship for University Undergraduate Admission Test (2017).
  • Regional Astronomy Olympiad: Champion of the Regional Astronomy Olympiad (2014).
  • Regional Physics Olympiad: Silver Medalist in the Regional Physics Olympiad (2013).

Services & Outreach

University Service

  • Workshop Conductor: Conducted Poster Design, Presentation, and Web Development Workshops at Asian University for Women.
  • Technical Sessions: Conducted Technical Sessions on Academic Research Paper Writing at Port City International University.
  • Professional Development: Participated in Asian University for Women Faculty Training (2024) and PCIU Faculty Training Program (2023).
  • Student Mentorship: Mentoring undergraduate students in research methodology and thesis projects.

Community Service

  • Flood Relief: Volunteered in the Fundraising and Relief Committee for flood-affected areas (2024).
  • Programming Contest Volunteer: Regional Programming Contest volunteer at CUET-CSE Fest.
  • EdTech Tutoring: Provided online computer science tutoring for college and graduate students (2018–2023).

Extracurricular Activities

  • Community Support: Active volunteering at local orphanages.
  • Athletics: Participated in short-distance marathons for health awareness.
  • Fitness: Calisthenics and personal fitness training.
© Abrar Taher. Last updated 2026.