Debjany Ghosh Aronno

Dispersion on a Circle(2025)

Md. Asib Rahman*, Debjany Ghosh Aronno*, Tanveer Rahman*, Shin-ichi Nakano, Md Saidur Rahman

Submitted to Journal of Combinatorial Optimization. Springer

The dispersion problem is a variant of the facility location problem, where the goal is to select k points from a given set of n points so that the minimum distance between the selected points is maximized. In this paper, we propose an O((2k²)^k · n log n) time algorithm to solve the k-dispersion problem, where the points are located on a circle. If k is a constant, then the running time is O(n log n).

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Diabetic Retinopathy Detection Using CNN with Residual Block with DCGAN(2024)

Debjany Ghosh Aronno, Sumaiya Saeha

Diabetic Retinopathy (DR) is a major cause of blindness worldwide, caused by damage to the blood vessels in the retina due to diabetes. Early detection and classification of DR are crucial for timely intervention and preventing vision loss. This work proposes an automated system for DR detection using Convolutional Neural Networks (CNNs) with a residual block architecture, which enhances feature extraction and model performance. To further improve the model's robustness, we incorporate advanced data augmentation techniques, specifically leveraging a Deep Convolutional Generative Adversarial Network (DCGAN) for generating diverse retinal images. This approach increases the variability of training data, making the model more generalizable and capable of handling real-world variations in retinal images. The system is designed to classify retinal images into five distinct categories, from No DR to Proliferative DR, providing an efficient and scalable solution for early diagnosis and monitoring of DR progression. The proposed model aims to support healthcare professionals in large-scale DR screening, especially in resource-constrained settings.

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