Amel Ksibi
Princess Nourah bint Abdulrahman University
Research areas: Computer Science · Computer Vision and Pattern Recognition · Image Retrieval and Classification Techniques · Advanced Image and Video Retrieval Techniques · Advanced Neural Network Applications
About
AMEL KSIBI received the B.S., M.S., and PhD degrees in computer engineering from the National School of Engineering of Sfax (ENIS), Sfax University, Tunisia, in 2008, 2010, and 2014, respectively. She spent three years at ENIS as a Teaching Assistant before joining the Higher Institute of Computer Science and Multimedia Gabes (ISIMG) as a Permanent Assistant, in 2013.
She joined the Computer Science Department, Umm Qura University (UQU), as an Assistant Professor, in 2014. She joined Princess Nourah Bint Abdulrahman University,
in 2018, where she is currently an Assistant Professor in the Department of Information Systems, College of Computer and Information Sciences. Her research interests include computer vision and image and video analysis.
These research activities are centred on deep learning applied to lifelog image and video understanding, indexing and retrieval.
Employment
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Princess Nourah bint Abdulrahman University Assistant Professor2018 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (73)
- An Energy-Efficient, Conditional Privacy-Preserving, and Blockchain-Assisted CLAS Scheme for VANETs With Immediate Revocation Save
- Evaluating AI reasoning and prompt engineering in automated test case generation: A comparative study of GPT-4o, O1 models, and human QA Save
- A Genetic Algorithm-based Task Scheduler for Scientific Cloud Workflows Using a Fuzzy Approach to Data Placement Save
- A hybrid system for personalized next point-of-interest recommendations using deep learning and fuzzy logic Save
- A secure artificial intelligence-enabled data fusion solution for surgical systems with blockchain technology: a real-time risk mitigation and control monitoring Save
- GraphPharm-X: A cross-modal graph transformer for context-aware drug interaction extraction from clinical text Save
- R-SATNet: Robust Self-Attention Transformer Network for Multi-Step Building Load Forecasting in Smart Energy Systems Save
- GreenMix-pareto: Uncertainty-aware, physics-guided multi-objective optimization of low-carbon concrete mix designs Save
- AI-powered detection of pumpkin leaf diseases using DualFusion-CBAM-stochastic for yield protection and precision agriculture Save
- Explainable Deep Learning for Cyber Threat in IoMT: A Synchronization-Enhanced Sparse Autoencoder Approach Save
- Generative AI-Enhanced Smartwatch System for Eye Rubbing Detection and Personalized Ocular Health Monitoring Using Transformer, Improved TRPO, and WGAN Save
- Multi-Modal Fusion of IoT and EHR Data Using Transformer Networks for Holistic Patient in Consumer-Centric Digital Twins Save
- NeuroAgent-X: A Self-Evolving Cognitive Agent for Securing Consumer IoT Systems Against AI-Enabled Anomalies and Adversarial Threats Save
- Transformer-based deep neural networks for short-term solar power prediction in the Middle East and North Africa regions Save
- LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images Save
- Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques Save
- Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis Save
- A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm Save
- HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting Save
- Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm Save