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About Us

About Us

About Us

We are a small research team working together on academic and research-based projects. Our work focuses on learning, collaboration, and applying knowledge to real-world problems.

Akrash Noor

I am a student and researcher with an interest in artificial intelligence, machine learning, and software development. I work on project development, research implementation, and documentation.

Hifzun Nisa

Hifzun Nisa is my research partner. She supports the research process by helping with data analysis, documentation, experimentation, and result evaluation.

Saba Latif

Saba Latif is our teacher and research supervisor. She guides us throughout the research process, provides valuable feedback, and ensures academic quality and correctness.

Together, we aim to learn, explore, and contribute to meaningful research work.

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A Comparative Study of Deep Learning Architectures for Chest X-Ray Image Classification

Comparative Analysis of Deep Learning Models for Chest X-Ray Image Classification Author: Akrash Noor, Saba Latif & Hifzun Nisa | Published: December 21, 2025 | Category: AI · Medical Imaging · Deep Learning Introduction Medical imaging has become an important aspect in the contemporary healthcare and especially the diagnosis of thoracic diseases utilizing the images of chest X-ray. In recent years, artificial intelligence has advanced significantly, and convolutional neural networks that are based on deep learning have demonstrated impressive results in the domain of automated disease detection and classification. This paper compares and contrasts several deep learning models that are trained on chest X-ray data with PyTorch and TensorFlow in their accuracy, generalization, and computational efficiency. Deep Learning Models Used Custom Convolutional Neural Networks (CNN) ResNet (Residual Networks) DenseNet VGG-styl...
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AI-Driven Protein Designer for Cancer Therapy

Deep Learning Based Protein Design for Targeted Cancer Treatment Author: Akrash Noor & Saba  | Published: September 10, 2025 | Category: AI, Bioinformatics, Cancer Therapy This article presents a mathematical and computational overview of an AI-driven protein design framework for cancer therapy . It explains how artificial intelligence can assist in designing novel proteins that selectively target cancer-related biomarkers. 1. Protein Sequence Representation A protein can be represented as a sequence of amino acids: P = (a₁, a₂, a₃, …, aₙ), aᵢ ∈ A n is the length of the protein A represents the 20 standard amino acids Each amino acid is converted into a numerical vector using encoding techniques such as one-hot encoding or learned embeddings: aᵢ → xᵢ ∈ ℝᵈ 2. AI-Based De Novo Protein Generation Protein design is treated as a sequence generation problem: P* = arg max P p(P...
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Process vs Threads

Process vs Threads in Operating Systems Process vs Threads in Operating Systems Operating System Course Article Introduction An operating system is responsible for managing system resources and ensuring that multiple programs run efficiently at the same time. Modern systems perform multitasking by executing several activities concurrently. To achieve this, operating systems rely on two fundamental execution units: processes and threads . Although both represent executing tasks, processes and threads differ in memory usage, execution speed, communication methods, and reliability. Understanding these differences is essential for learning CPU scheduling, concurrency, and parallelism. What is a Process? A process is a program that is cur...
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