Our Lab Notes & Research

Adding to the world's knowledge while subtracting its toughest digital challenges. Explore our published work.

Advancements and Challenges in Quantum Machine Learning for Medical Image Classification: A Comprehensive Review

DOI: 10.1109/ISACC65211.2025.10969166

Authors

Md. Farhan Shahriyar

Gazi Tanbhir

Abstract

Quantum technologies are rapidly advancing as image classification tasks grow more complex due to large image volumes and extensive parameter updates required by traditional machine learning models. Quantum Machine Learning (QML) offers a promising solution for medical image clas...

PhishVQC: Optimizing Phishing URL Detection with Correlation Based Feature Selection and Variational Quantum Classifier

DOI: 10.1109/ISACC65211.2025.10969366

Authors

Md. Farhan Shahriyar

Gazi Tanbhir

Abdullah Md Raihan Chy

Mohammed Abdul Al Arafat Tanzin

Md. Jisan Mashrafi

Abstract

Phishing URL detection is crucial in cybersecurity as malicious websites disguise themselves to steal sensitive information. Traditional machine learning techniques struggle to perform well in complex real-world scenarios due to large datasets and intricate patterns. Motivated by...

Hybrid Machine Learning Model for Detecting Bangla Smishing Text Using BERT and Character-Level CNN

DOI: 10.1109/ICECE64886.2024.11024872

Authors

Gazi Tanbhir

Md. Farhan Shahriyar

Khandker Shahed

Abdullah Md Raihan Chy

Md Al Adnan

Abstract

Smishing is a social engineering attack using SMS containing malicious content to deceive individuals into disclosing sensitive information or transferring money to cybercriminals. Smishing attacks have surged by 328%, posing a major threat to mobile users, with losses exceeding ...

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification

DOI: 10.1109/ECCE64574.2025.11013884

Authors

Gazi Tanbhir

Md Farhan Shahriyar

Abstract

Dementia, a neurological disorder impacting millions globally, presents significant challenges in diagnosis and patient care. With the rise of privacy concerns and security threats in healthcare, federated learning (FL) has emerged as a promising approach to enable collaborative ...