Launch week offerEnds in00h00m00s

annual Promonthly Pro

Maaz Amjad

Assistant Professor of Practice

Texas Tech University

United States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United States Professors in Epidemiology Epidemiology professors in United States

About

Maaz Amjad is an Assistant Professor of Practice at Texas Tech University in the United States. His research focuses on machine learning applications in public health and social media analysis, with recent publications addressing COVID-19 misinformation, brain tumor segmentation, and opioid overdose surveillance. He also explores language processing in Urdu and Arabic, contributing to advancements in fake news detection and reading comprehension methods.

Articles (9)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2021

Year:

2020

Year:

2020

Collaborators (4)

Iqra Ameer

Assistant Professor (Computer Science)

Pennsylvania State University

UNITED STATES

View details

Rita Orji

Professor and Canada Research Chair

Dalhousie University

CANADA

View details

Abubakar Siddique

Lecturer

Auckland University of Technology, New Zealand

NEW ZEALAND

View details

Victor S. Sheng

Texas Tech University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Maaz Amjad

Research Interests

Make your next move.

Explore related searches

About

Articles (9)

Automated Risk Assessment of Opioid Use: Analysis Using Pre-Trained Transformers on Social Media Data

From Code to Rubrics: A Multimodal Evaluation of LLM Systems for Automated Feedback Generation

Mapping the Infodemic: Geolocating Reddit Users and Unsupervised Topic Modeling of COVID-19-Related Misinformation

Advanced Brain Tumor Segmentation Using SAM2-UNet

Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach

An interpretable machine learning framework for opioid overdose surveillance from emergency medical services records

Threatening Language Detection and Target Identification in Urdu Tweets

Methods and Trends of Machine Reading Comprehension in the Arabic Language

“Bend the truth”: Benchmark dataset for fake news detection in Urdu language and its evaluation

Collaborators (4)

Iqra Ameer

Rita Orji

Abubakar Siddique

Victor S. Sheng

Make your next move.