Publications (5)
Improving statistical learning methods via features selection without replacement sampling and random projection
Sulaiman khan, Muhammad Ahmad, Fida Ullah +2
Cancer is fundamentally a genetic disease characterized by genetic and epigenetic alterations that disrupt normal gene expression, leading to uncontrolled cell growth and metastasi…
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.…
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…
EDU-NER-2025: Named Entity Recognition in Urdu Educational Texts using XLM-RoBERTa with X (formerly Twitter)
Fida Ullah, Muhammad Ahmad, Muhammad Tayyab Zamir +4
Named Entity Recognition (NER) plays a pivotal role in various Natural Language Processing (NLP) tasks by identifying and classifying named entities (NEs) from unstructured data in…
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…