Md. Nasif Safwan, Souhardo Rahman, Mahamodul Hasan Mahadi, Iftekharul Mobin et al.
Classification of brain tumors from MRI images is crucial for early diagnosis and effective treatment planning. However, there are still obstacles to overcome, including low image quality, sparsely labeled data, and variability in tumor characteristics. In this study, we explored the use of self-sup...
Mahamodul Hasan Mahadi, Md. Nasif Safwan, Sadia Islam Niha, Souhardo Rahman et al.
Eye diseases such as cataracts, glaucoma, macular degeneration, and diabetic retinopathy significantly impair vision and quality of life, particularly in aging populations, and pose substantial socio-economic challenges. Accurate and timely diagnosis is crucial for mitigating their impact. Deep lear...
Souhardo Rahman, Md. Nasif Safwan, Mahamodul Hasan Mahadi, Md. Iftekharul Mobin et al.
This study investigated the efficacy of pre-trained deep learning models for multi-class classification of eye diseases, namely cataract, diabetic retinopathy, and glaucoma, using fundus images. Although CNN and transformer-based models have been extensively explored separately in ophthalmic diagnos...
Mahamodul Hasan Mahadi, Souhardo Rahman, Md. Nasif Safwan, Firoz Ahmed
The growing integration of artificial intelligence with ophthalmic imaging has opened new possibilities for automating the detection and classification of eye diseases. However, many prior studies have been constrained by limited datasets and a narrow focus on a small number of disease categories. A...
Md. Nasif Safwan, Taharat Muhammad Jabir, Hafsa Jahan Prioty, Joydip Dey Omi et al.
In Bangladesh, student performance is shaped by a range of factors, including parental education, occupational status, and access to supplementary tutoring. Understanding these influences is crucial for crafting effective educational policies. This study examines how parental education, professional...
Mahamodul Hasan Mahadi, Yamlick Abdullah, Md Sazib Ahmed, Nousheen Jahan et al.
Databases are essential to organizational infrastructure, storing sensitive and high-value information. Among cybersecurity risks, insider threats are particularly difficult to detect because they originate from users with legitimate access who may subtly misuse their privileges. Most existing detec...
S M Atiqur Rahman, Md. Nasif Safwan, Mahamodul Hasan Mahadi, Nousheen Jahan et al.
Breast cancer diagnosis remains a critical global health challenge, where timely and accurate detection can save lives. Ultrasound is a widely used, noninvasive imaging tool, yet its interpretation is prone to error, and standard deep learning models often falter due to speckle noise, data scarcity,...
Mahamodul Hasan Mahadi, S M Atiqur Rahman, Md. Nasif Safwan, Md. Iftekharul Mobin
Superficial fungal infections are widespread and require reliable diagnosis for effective treatment, yet conventional microscopic examination is time-consuming, subjective, and prone to interobserver variation. Deep learning approaches have shown promise for fungal image analysis, but existing atten...
Mahamodul Hasan Mahadi, Souhardo Rahman, Md. Nasif Safwan, Firoz Ahmed
Automatic Speech Recognition (ASR) is a key part of human-computer interaction, playing a major role in education, accessibility, and personal assistant technologies. However, recognizing child speech remains a significant challenge due to the scarcity of large labeled datasets and the distinctive t...