Tamer ABUHMED

Associate Professor

Sungkyunkwan University College of Natural Science

South Korea

Research Interests

Explore related searches

Professors in South Korea Professors in Artificial Intelligence Artificial Intelligence professors in South Korea

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Tamer Abuhmed is an Associate Professor at Sungkyunkwan University College of Natural Science, South Korea. His research areas focus on artificial intelligence applications in healthcare, particularly concerning mental health disorders and Alzheimer's disease. Recent articles include work on mortality prediction for ICU patients using large language models and a novel approach for skin image classification.

Articles (21)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (8)

Hyoungshick Kim

Sungkyunkwan University

SOUTH KOREA

View details

Muhammad imran

Federation University

AUSTRALIA

View details

Soo-Mi Choi

Sejong University

SOUTH KOREA

View details

Yang-Sae Moon

Changwon National University

SOUTH KOREA

View details

farman ali

Assistant Professor

Sejong University

SOUTH KOREA

View details

Simon S. Woo

Sungkyunkwan University

SOUTH KOREA

View details

Abolghasem Sadeghi-Niaraki

Sejong University

SOUTH KOREA

View details

Jose Maria Alonso Moral

Tenured Professor / Profesor Titular de Universidad (TU)

Universidade de Santiago de Compostela

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Tamer ABUHMED

Research Interests

Explore related searches

Contact this professor

About

Articles (21)

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

Stealthy Query-Efficient OpaqueAttack Against Interpretable Deep Learning

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

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

Alzheimer's disease diagnosis in the metaverse

Hardening Interpretable Deep Learning Systems: Investigating Adversarial Threats and Defenses

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

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

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

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

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

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

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

Henry gas solubility optimization double machine learning classifier for neurosurgical patients

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

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

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

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

AR Search Engine: Semantic Information Retrieval for Augmented Reality Domain

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

An approach for measuring spatial similarity among COVID-19 epicenters

Collaborators (8)

Hyoungshick Kim

Muhammad imran

Soo-Mi Choi

Yang-Sae Moon

farman ali

Simon S. Woo

Abolghasem Sadeghi-Niaraki

Jose Maria Alonso Moral

Make your next move.