Portrait of Prof. M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor, Department of Information Sciences and Technology, George Mason University, USA

About

My teaching philosophy is “Application Oriented Learning”. Focus of this philosophy is to restructure course material in such a way that it contains more real-life example-oriented explanation and demonstration such that students know where and how they can apply knowledge acquired during a course. This is done through introduction of practical problem-solving strategies and relevant literature surveying. After attending my courses students know how to seek for relevant material for learning. I teach my students how to learn.

My research philosophy is “Humanitarian Technology Innovation for 4th Industrial Revolution Challenges”. Focus of this philosophy is to motivate and equip, Bangladeshi youth to learn and apply research on machine learning and statistical data analytics, computer vision and cybernetics, and IoT and robotics, to develop humanitarian technology to address issues such as: climate, gender, disability, healthcare, education, and poverty alleviation.

Publications (188)

Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi, Halima Khatun, Ashraful Islam, AKM Mahbubur Rahman, Saadia Binte Alam, M Ashraful Amin

PelviNeXt: A Modality-Agnostic Hybrid Network for Pelvic Imaging in Women's Health

arXiv (Cornell University), 2026

Preprint / Working PaperDOIURL
  • perceptual hashing
  • pelvic radiography
  • multi-scale feature fusion
  • polycystic ovary syndrome
  • channel and spatial attention
  • pelvic fractures
  • pelvic ultrasound
  • multi-head self-attention
  • SDG 3Good Health and Well-being
  • SDG 5Gender Equality

Mustaqueem Alam, J. M. Sadik-Ul Islam Smaron, Rashedur Rahman, Md Asif Bin Khaled, Ashraful Islam, M. Ashraful Amin

Evaluating the Impact of Image Preprocessing on Deep Learning-Based Fetal Ultrasound Classification Under Class Imbalance

2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS), pp. 128-135, 2026

Conference PaperDOIURL
  • image preprocessing
  • class imbalance
  • deep learning classification
  • prenatal ultrasound
  • medical image classification
  • prenatal diagnosis
  • SDG 3Good Health and Well-being

Istiaq Ahmed, Faiza Omar Arpita, Ashraful Islam, Rashedur Rahman, M Ashraful Amin

Comparative Analysis of Digital Food Ecosystems in Bangladesh: Commercial Platforms versus F-Commerce

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, pp. 1-8, 2026

Conference PaperDOIURL
  • food justice
  • food sovereignty
  • local agriculture
  • women entrepreneurs
  • food delivery apps
  • culinary heritage
  • class hierarchy
  • Food security
  • community food systems
  • Bangladesh
  • SDG 2Zero Hunger
  • SDG 10Reduced Inequalities
  • SDG 5Gender Equality

Syed Niaz Mohtasim, Faiza Omar Arpita, Istiaq Ahmed, Ashraful Islam, M. Ashraful Amin, Beenish Moalla Chaudhry

mHealth apps for maternal mental well-being among pregnant and postpartum women: a systematic review

mHealth 12, pp. 23-23, 2026

Journal ArticleDOIURL
  • mood tracking
  • maternal mental health
  • cognitive behavioral therapy
  • perinatal mental health
  • postpartum depression
  • mental health screening
  • perinatal care
  • mobile health apps
  • prenatal stress
  • prenatal anxiety
  • SDG 3Good Health and Well-being
  • SDG 5Gender Equality

Md Fahim, Md Farhan Ishmam, Mir Sazzat Hossain, M Ashraful Amin, Amin Ahsan Ali, AKM Rahman

R-MMA: Enhancing Vision-Language Models with Recurrent Adapters for Few-Shot and Cross-Domain Generalization

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 6496-6506, 2026

In: 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Conference PaperDOIURL
  • vision-language models
  • domain generalization
  • cross-dataset generalization
  • self-attention
  • few-shot learning
  • CLIP
  • parameter efficiency
  • cross-modal consistency

Sinthia Chowdhury, Deawan Rakin Ahamed Remal, Istiaq Ahmed, Faiza Omar Arpita, Ashraful Islam, M Ashraful Amin

Early Stage Design of a Culturally Tailored Menopausal Mental Health Support Mobile Application for Bangladeshi Women

2026 7th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), pp. 1926-1933, 2026

Conference PaperDOIURL
  • Anxiety
  • menopause
  • mobile health
  • low-fidelity prototypes
  • Bangladeshi women
  • women's well-being
  • rural women
  • needs assessment
  • depression
  • SDG 3Good Health and Well-being
  • SDG 5Gender Equality
  • SDG 10Reduced Inequalities
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