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Tamer ABUHMED

Associate Professor

Sungkyunkwan University College of Natural Science

South Korea

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Research Interests

Computational Neuroscience

30%

Neurology

30%

Deep Learning

40%

Cognitive Aging

30%

Neurodegenerative Disease

30%

Neuroinformatics

30%

Alzheimer's Disease

30%

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Articles21

Mortality prediction for ICU patients with mental disorders using large language models ensemble and unstructured medical notes

Article Link

Year:

2025

Stealthy Query-Efficient OpaqueAttack Against Interpretable Deep Learning

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Year:

2025

FiSC: A Novel Approach for Fitzpatrick Scale-Based Skin Analyzer’s Image Classification

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Year:

2025

Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges

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Year:

2025

Alzheimer's disease diagnosis in the metaverse

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Year:

2024

Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses

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Year:

2024

SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems

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Year:

2024

Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment

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Year:

2024

Effective Multitask Deep Learning for IoT Malware Detection and Identification Using Behavioral Traffic Analysis

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Year:

2023

Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges

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Year:

2023

TruMuzic: A Deep Learning and Data Provenance-Based Approach to Evaluating the Authenticity of Music

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Year:

2023

Wildfire Susceptibility Mapping Using Deep Learning Algorithms in Two Satellite Imagery Dataset

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Year:

2023

Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson’s disease

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Year:

2023

Henry gas solubility optimization double machine learning classifier for neurosurgical patients

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Year:

2023

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

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Year:

2023

Time-series visual explainability for Alzheimer’s disease progression detection for smart healthcare

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Year:

2023

Computer aided progression detection model based on optimized deep LSTM ensemble model and the fusion of multivariate time series data

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Year:

2023

Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data

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Year:

2022

AR Search Engine: Semantic Information Retrieval for Augmented Reality Domain

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Year:

2022

Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time

Article Link

Year:

2022

An approach for measuring spatial similarity among COVID-19 epicenters

Article Link

Year:

2022

Collaborators8

Hyoungshick Kim

Sungkyunkwan University

SOUTH KOREA

Muhammad imran

Federation University

AUSTRALIA

Soo-Mi Choi

Sejong University

SOUTH KOREA

Yang-Sae Moon

Changwon National University

SOUTH KOREA

farman ali

Assistant Professor

Sejong University

SOUTH KOREA

Simon S. Woo

Sungkyunkwan University

SOUTH KOREA

Abolghasem Sadeghi-Niaraki

Sejong University

SOUTH KOREA

Jose Maria Alonso Moral

Tenured Professor / Profesor Titular de Universidad (TU)

Universidade de Santiago de Compostela

SPAIN

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