Abrar Taher

Biography:

I am a Computer Science and Engineering graduate and currently serve as a faculty member in the Computer Science program at Asian University for Women, Bangladesh. I consider myself an active and dedicated professional who enjoys learning about new technologies and staying updated with emerging trends. I began exploring the field of deep learning, particularly medical image processing and computer vision, and have worked with various types of medical images, including MRI, X-ray, histopathological, and thin blood smear images. My research interests focus on developing custom neural network models for medical image datasets, applying advanced image preprocessing and feature extraction techniques to capture meaningful patterns, and tuning hyperparameters to improve model accuracy.

I am eager to explore multimodal approaches that combine computer vision, explainable AI, and LLMs to build more effective diagnostic tools. I am particularly passionate about addressing the challenge of aligning and interpreting AI models in the healthcare domain.

I am actively seeking PhD opportunities in medical image processing, with a focus on federated learning for biomedical data, novel neural network architectures for feature extraction, and region-based segmentation methods to advance clinical decision support systems.

Research Interest:

Multimodal Information Retrieval
AI in Healthcare
Medical Image Processing
Explainable AI
Statistical ML

Ongoing Work

Diabetic Retinopathy Detection from Retinal Fundus Images

We are developing a robust deep neural network (DNN) model for multiclass classification of Diabetic Retinopathy (DR) using retinal fundus images. The model leverages advanced image preprocessing and feature extraction techniques such as contrast enhancement, vessel segmentation, and morphological analysis to highlight the pathological changes in the retinal blood vessels, microaneurysms, and exudates. By integrating convolutional neural networks (CNNs) with transfer learning and regularization methods, the system is designed to improve accuracy, generalizability, and clinical reliability in automated DR diagnosis.

Education

Chittagong University of Engineering and Technology

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

Thesis: Multiclass Diabetic Retinopathy Detection from Retinal Fundus Images.

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)

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

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

Skills

Programming & ML Ecosystem

Languages: Python, C
Frameworks & Libraries: Pytorch, TensorFlow, Scikit-learn, Keras, Pandas, NumPy, Matplotlib, Jupyter.

Paradigms & Domains

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

Tools & Applications

Tools: Colab, Jupyter, Kaggle, Git/GitHub, Overleaf, Draw.io
Web Development (Basic): HTML5, CSS3, Node.js

Publications

Selected Conference Papers

S. Mallick, A. Debnath, A. Taher, et al. (2026). "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)*.
S. Saikat, A. Taher, et al. (2026). "An Explainable Ensemble Framework for Multi-Level Diabetic Retinopathy Classification" *2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN)*.
A. Debnath, S. Mallick, A. Taher, et al. (2026). "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)*.
A. Taher, et al. (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)*.
A. Taher, et al. (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)*.
A. Taher, et al. (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)*.

Research Summary (PDF)

Teaching

Asian University For Women, Computer Science Program

COMP500: Computational Thinking and Programming (Junior Instructor, Fall 2025, Summer 2025, Fall 2024, Spring 2024)
COMP600: Advanced Programming with Python (Junior Instructor, Summer 2024, Fall 2024)
COMP400: Computer Fundamentals (Junior Instructor, Summer 2024, Summer 2025)
COMP100: Computer Literacy (Junior Instructor, Spring 2024, Spring 2025)

Port City International University, Dept. of Computer Science & Engineering

Structured Programming (Lecturer, Fall 2023)
Discrete Mathematics (Lecturer, Fall 2023)
Computer Fundamentals and Programming Techniques (Lecturer, Fall 2023)

Honors and Awards

BTEB Scholarship: Awarded the Bangladesh Technical Education Board (BTEB) Scholarship based on term results.
Merit-Based Scholarship: Received a Merit-Based Scholarship for the 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

University Service

Professional Development: Training organized by Asian University for Women (2024).
Workshop Conductor: Conducted a Poster Design and Presentation Workshop at Asian University for Women (2024, 2025).
Faculty Training: Participated in the Faculty Training & Development Program at Port City International University (2023).
Technical Session: Conducted a Technical Session on Research Paper Writing and Academic Writing at Port City International University (2023).
Mentoring: Mentoring undergraduate students in their academic projects and research work.

Community and Outreach

Volunteered in the Fundraising and Relief Committee for flood-affected areas (2024).
Participated as a volunteer in the Regional Programming Contest at CUET-CSE Fest (2018).
Provided Tutoring on an EdTech Platform for college graduate students (2018-2023).

Extracurricular Activities

Community Service: Volunteering at a village orphanage.
Athletics: Participated in short-distance marathons promoting health and awareness.
Fitness: Regular practice of fitness exercises and calisthenics training for personal well-being.