collaborators

6 papers

cs.CL2026

Hope Speech Detection in code-mixed Roman Urdu tweets: A Positive Turn in Natural Language Processing

Muhammad Ahmad, Muhammad Waqas, Ameer Hamza +2

Hope is a positive emotional state involving the expectation of favorable future outcomes, while hope speech refers to communication that promotes optimism, resilience, and support…

cs.SI2025

SABIA: An AI-Powered Tool for Detecting Opioid-Related Behaviors on Social Media

Muhammad Ahmad, Fida Ullah, Muhammad Usman +2

Social media platforms have become valuable tools for understanding public health challenges by offering insights into patient behaviors, medication use, and mental health issues.…

cs.CL2025

Opioid Named Entity Recognition (ONER-2025) from Reddit

Muhammad Ahmad, Rita Orji, Fida Ullah +2

The opioid overdose epidemic remains a critical public health crisis, particularly in the United States, leading to significant mortality and societal costs. Social media platforms…

cs.CL2025

Leveraging Large Language Models for Multi-Class and Multi-Label Detection of Drug Use and Overdose Symptoms on Social Media

Muhammad Ahmad, Fida Ullah, Muhammad Usman +3

Drug overdose remains a critical global health issue, often driven by misuse of opioids, painkillers, and psychiatric medications. Traditional research methods face limitations, wh…

cs.CL2025

Multilingual Hate Speech Detection in Social Media Using Translation-Based Approaches with Large Language Models

Muhammad Usman, Muhammad Ahmad, M. Shahiki Tash +3

Social media platforms are critical spaces for public discourse, shaping opinions and community dynamics, yet their widespread use has amplified harmful content, particularly hate…

eess.IV2025

Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification

Muhammad Ahmad, Sardar Usman, Ildar Batyrshin +5

Background: Lung disease is a significant health issue, particularly in children and elderly individuals. It often results from lung infections and is one of the leading causes of…