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Umair Tariq

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Lecturer Computing

Birmingham City University

United Kingdom

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About

Dr. Umair Tariq is an Associate Professor at Birmingham City University in the United Kingdom. His research interests include machine learning applications in healthcare, zero-shot learning, and embedded systems for signature verification. He has recently published articles evaluating CNN architectures for lung cancer detection and exploring novel approaches for cross-modal retrieval in machine learning. Dr. Tariq is also engaged in researching big data applications in home energy management within cloud computing environments.

Recent Grants

Grant: Close

A Clustering-Based Approach for Software Aspect Mining

Open Date: 2025-12-01

Close Date: 2026-05-01

Articles (10)

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2026

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2026

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2026

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2025

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2025

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2024

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2024

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2024

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2023

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2020

Collaborators (2)

Shang-Ming Zhou

University of Plymouth

UNITED KINGDOM

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Muhammad Sadiq

Professor

Shenzhen University

CHINA

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Umair Tariq

Research Interests

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About

Recent Grants

Articles (10)

AI‐Powered Personalization Across Digital Ecosystems: A Trust‐Centric Perspective on Intelligent, Ethical, and Adaptive User‐Centric Systems

Lung Cancer in the New Era: Trends, Innovations, and Future Recommendations

Mental Fatigue in the Modern Era: Neurobiological Mechanisms, Sociocultural Influence, and Translational AI Application

AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions

Urdu Aspect-Category-Opinion-Sentiment (UACOS) Quadruple Extraction: A Transfer Learning Approach

Evaluating CNN Architectures and Hyperparameter Tuning for Enhanced Lung Cancer Detection Using Transfer Learning

ClusterE-ZSL: A Novel Cluster-Based Embedding for Enhanced Zero-Shot Learning in Contrastive Pre-Training Cross-Modal Retrieval

ClusterE-ZSL: A Novel Cluster-Based Embedding for Enhanced Zero-Shot Learning in Contrastive Pre-Training Cross-Modal Retrieval

High-Performance Embedded System for Offline Signature Verification Problem Using Machine Learning

Big Data of Home Energy Management in Cloud Computing

Collaborators (2)

Shang-Ming Zhou

Muhammad Sadiq

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