Hani Hagras

Professor

University of Essex

United Kingdom

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About

Professor Hani Hagras is a faculty member at the University of Essex, United Kingdom. His research interests encompass neuroergonomics, fuzzy systems, and artificial intelligence, with a particular focus on effective brain connectivity, content-based image retrieval, and cognitive neuroscience. He has published extensively on the applications of fuzzy cognitive maps, semi-supervised clustering techniques, and explainable AI in various domains.

Articles (10)

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (2)

Nicolae Radu Zabet

Senior Lecturer

Queen Mary University of London

UNITED KINGDOM

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Maria Laura Filippetti

Lecturer

University of Essex

UNITED KINGDOM

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Hani Hagras

Research Interests

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Articles (10)

Effective Brain Connectivity for fNIRS with Fuzzy Cognitive Maps in Neuroergonomics

Interval Type-2 Beta Fuzzy Near Sets Approach to Content-Based Image Retrieval

Novel Intuitionistic-Based Interval Type-2 Fuzzy Similarity Measures with Application to Clustering

Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives

An explainable artificial intelligence approach for decoding the enhancer histone modifications code and identification of novel enhancers in Drosophila

A hybrid interval type-2 semi-supervised possibilistic fuzzy c-means clustering and particle swarm optimization for satellite image analysis

Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience

Special issue on Recent Advances in Computational Intelligence and Cognitive Systems (RACICS)

Comparing the Performance Potentials of Singleton and Non-singleton Type-1 and Interval Type-2 Fuzzy Systems in Terms of Sculpting the State Space

Nnir: N-non-intersecting-routing algorithm for multi-path resilient routing in telecommunications applications

Collaborators (2)

Nicolae Radu Zabet

Maria Laura Filippetti

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