Kashif Ahmad

Assistant Lecturer

Munster Technological University Cork

Ireland

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Kashif Ahmad is an Assistant Lecturer at Munster Technological University Cork, Ireland. His research areas include artificial intelligence, data-driven education, social media applications, and sustainable cities. Recently, he has contributed to articles that address topics such as water quality analysis through AI, the application of extended reality in education, and the enhancement of deep learning systems. His work also explores adversarial methods in natural language processing and British Sign Language recognition using advanced technologies.

Articles (13)

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (9)

Muhammad Usman

Glasgow Caledonian University

UNITED KINGDOM

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Waleed Ejaz

CANADA

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Muhammad Ali Imran

University of Glasgow

UNITED KINGDOM

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Waleed Iqbal

Teaching Fellow

Queen Mary University of London

UNITED KINGDOM

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BASHEER QOLOMANY

Assistant Professor

University of Nebraska at Kearney

UNITED STATES

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Qammer H. Abbasi

University of Glasgow

UNITED KINGDOM

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Mohamed Rahouti

Assistant Professor

Fordham University

UNITED STATES

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Izzat Alsmadi

Assistant Professor

Texas A&M University - San Antonio

UNITED STATES

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Moussa Ayyash

Chicago State University

UNITED STATES

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Kashif Ahmad

Research Interests

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Articles (13)

Advancing Education Through Extended Reality and Internet of Everything Enabled Metaverses: Applications, Challenges, and Open Issues

Social Media and Artificial Intelligence for Sustainable Cities and Societies: A Water Quality Analysis Use-Case

Explainable event recognition

Data-Driven Artificial Intelligence in Education: A Comprehensive Review

Toward Improved Reliability of Deep Learning Based Systems Through Online Relabeling of Potential Adversarial Attacks

Social Media as an Instant Source of Feedback on Water Quality

Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions

Recognizing British Sign Language using deep learning: a contactless and privacy-preserving approach

Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing

Artificial intelligence based prognostic maintenance of renewable energy systems: A review of techniques, challenges, and future research directions

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions

The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions

Visual Sentiment Analysis from Disaster Images in Social Media

Collaborators (9)

Muhammad Usman

Waleed Ejaz

Muhammad Ali Imran

Waleed Iqbal

BASHEER QOLOMANY

Qammer H. Abbasi

Mohamed Rahouti

Izzat Alsmadi

Moussa Ayyash

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