Home › Researcher directory › Hamza Kheddar
Hamza Kheddar
Affiliation : University Yahia Fares of Medea
- 80Publications (affiliation in Algeria)
- 88Total publications
- 1880Citations
- 21h-index
Research profile
Hamza Kheddar has 80 indexed publications (2018–2026). Their work appears mainly in “International Conference on Telecommunications and Intelligent Systems (ICTIS)”, “arXiv (Cornell University)” and “International Conference on Electronics, Energy and Measurement (IC2EM)”. Their most cited article, “Automatic speech recognition using advanced deep learning approaches: A survey” (2024), has been cited 212 times. 58 of these publications date from the last three years of activity. Their work is co-authored with at least 12 researchers, including institutions in United Kingdom.
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Create my free profile Add my publicationsResearch areas
- Network Security and Intrusion Detection
- Speech and Audio Processing
- Speech Recognition and Synthesis
- Network Packet Processing and Optimization
- Internet Traffic Analysis and Secure E-voting
Publications (80)
- Recent Advances in Transformer and Large Language Models for UAV Applications
- Systematic Analysis on the Use of AI Techniques in Industrial IoT DDoS Attack Detection, Mitigation, and Prevention
- Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey
- Adaptive Bandelet Transform and Transfer Learning for Geometry-Aware Thyroid Cancer Ultrasound Classification
- Real-Time DDoS Detection in Industrial IoT Using Proximal Policy Optimisation and Deep Reinforcement Learning
- BiLSTM Guided LPA Planning, Re-Planning, and Backtracking for Effective and Efficient Emergency Evacuation
- Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges
- Low-Latency DDoS Detection for IIoT and SCADA Networks Using Proximal Policy Optimisation and Deep Reinforcement Learning
- Agentic and Generative AI for Intelligent Autonomous Vulnerability Assessment and Penetration Testing: A Systematic Analysis
- Edge-Optimized Deep and Transfer Learning for Efficient DDoS Detection in IIoT Networks
- IRSA-Net: An Efficient Lightweight Network with Spatial Attention and Iterative Refinement for Retinal Vessel Segmentation
- Resource-Efficient FPGA-Based Envelope Analysis for Bearing Fault Diagnosis
- A Comprehensive Survey on Speech Spoofing and Deepfake Detection: Transformers and Large Language Models
- Hybrid LSTM–LightGBM Model for Multiclass DDoS Attack Detection in 5G and IoT Networks
- TAWJEEH: An Integrated Deep Reinforcement Learning and Heuristic Framework for Cellular Vehicle-to-Everything Enabled Real-Time Multidepot Vehicle Routing Optimization in Urban Logistics
- Transformer-Based Modeling on Multi-Target Water Quality Forecasting in Aquaponic Fish Ponds
- Transformers and large language models for efficient intrusion detection systems: A comprehensive survey
- Innovative AI strategies for enhancing smart building operations through digital twins: A survey
- A robust cross-domain IDS using BiGRU-LSTM-attention for medical and industrial IoT security
- Advanced deep learning and large language models: Comprehensive insights for cancer detection
- Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
- Machine learning and transformers for thyroid carcinoma diagnosis
- Reinforced Residual Encoder–Decoder Network for Image Denoising via Deeper Encoding and Balanced Skip Connections
- Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments
- Smart-contract-based blockchain-enabled decentralized scheme for improving smart-grid security
- Advancing Bearing Fault Diagnosis Using Deep Transfer Learning for Wireless Sensor Networks
- Efficient Fine-Grained LuT-Based Optimization of AES MixColumns and InvMixColumns for FPGA Implementation
- Image and point-cloud classification for jet analysis in high-energy physics: A survey
- A robust framework for noisy speech recognition using Frequency-Guided-Swin Transformer
- Cyber Threat Detection in IIoT and IoMT Using DNN-GRU with Multi-Head Attention
- BreathAI: Transfer Learning-Based Thermal Imaging for Automated Breathing Pattern Recognition
- SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments
- A Systematic Analysis on the Use of AI Techniques in Industrial IoT DDoS Attacks Detection, Mitigation and Prevention
- Empirical evidence on deep learning-enhanced portfolio optimization: integrating CNN-LSTM forecasts with mean-variance theory in cryptocurrency markets
- Multi-Criteria Discovery of Communities in Social Networks Based on Services
- Intrusion Detection System-based DNN+GRU-MHA for Securing Medical and Industrial IoT Environments
- Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments
- High Performance Detection of DDoS Attacks with Hybrid CNN-LSTM Architecture
- Hybrid Deep Neural Networks and Long Short-Term Memory for Distributed Denial of Service Attacks Classification
- Explainable BiLSTM-MHA-Based IDS for IoT Using SHAP and Zero-Day Attack Detection
- Automatic speech recognition using advanced deep learning approaches: A survey
- Reinforcement-Learning-Based Intrusion Detection in Communication Networks: A Review
- Enhancing IoT Security with CNN and LSTM-Based Intrusion Detection Systems
- Deep learning for steganalysis of diverse data types: A review of methods, taxonomy, challenges and future directions
- Advancing 3D point cloud understanding through deep transfer learning: A comprehensive survey
- Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
- Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
- Deep learning techniques for hand vein biometrics: A comprehensive review
- Ultrasound Images Classification of Thyroid Cancer using Deep Transfer Learning
- Improving Pretrained YAMNet for Enhanced Speech Command Detection via Transfer Learning
- Hybrid Machine Learning Approaches For Classification DDoS Attack
- Deep Transfer Learning for Kidney Cancer Diagnosis
- Combined CNN-LSTM for Enhancing Clean and Noisy Speech Recognition
- Transfer Learning-Based Deep Residual Learning for Speech Recognition in Clean and Noisy Environments
- Enhancing Cochlear Implant Signal Coding with Scaled Dot-Product Attention
- Attention Mechanisms with Deep Convolutional Neural Networks for Detection of Distributed Denial of Service Attacks
- Transformer-Based Multi-Head Attention for Noisy Speech Recognition
- Review of: "k2SSL: A Faster and Better Framework for Self-Supervised Speech Representation Learning"
- Deep transfer learning for automatic speech recognition: Towards better generalization
- Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
- AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
- Deep Reinforcement Learning for Intrusion Detection in IoT: A Survey
- Deep Learning-based Analysis of Algerian Dialect Dataset Targeted Hate Speech, Offensive Language and Cyberbullying
- Automatic Speech Recognition with BERT and CTC Transformers: A Review
- Multilinear subspace learning for Person Re-Identification based fusion of high order tensor features
- Machine Learning Approaches for Automated Detection and Classification of Dysarthria Severity
- Noise-Robust Speech Recognition: A Comparative Analysis of LSTM and CNN Approaches
- Deep Learning-and Transfer Learning-based Models for COVID-19 Detection using Radiography Images
- AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions
- Adversarial Example Detection Techniques in Speech Recognition Systems: A review
- Federated Learning for Computer Vision
- Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
- High capacity speech steganography for the G723.1 coder based on quantised line spectral pairs interpolation and CNN auto-encoding
- Speech Steganography based on Double Approximation of LSFs Parameters in AMR Coding
- An Efficient Model for Horizontal Slicing in 5G Network using Practical Simulations
- All you need for horizontal slicing in 5G network
- From 2G to 4G Mobile Network: Architecture and Key Performance Indicators
- Pitch and Fourier magnitude based steganography for hiding 2.4 kbps MELP bitstream
- Smart Robot Navigation Using RGB-D Camera
- Fourier magnitude-based steganography for hiding 2.4 kbpsMELP secret speech
Publication venues
- International Conference on Telecommunications and Intelligent Systems (ICTIS) × 7
- arXiv (Cornell University) × 6
- International Conference on Electronics, Energy and Measurement (IC2EM) × 5
- Information Fusion × 4
- SSRN Electronic Journal × 3
- International Conference on Intelligent Computer Systems, Data Science and Applications (IC2SDA) × 3
Publications per year
- 202616
- 202524
- 202418
- 202313
- 20226
- 20191
- 20182
Collaborations
Partner institutions : University of Sciences and Technology Houari Boumediene · Centre universitaire Salhi Ahmed - Naama · University of Biskra · University of Jijel · London Metropolitan University
Co-authors’ countries : United Kingdom
Co-authors
- Ahmed Cherif Mazari
- Afrah Gueriani
- Yassine Habchi
- Djamel Addou
- Mohamed Maazouz
- Noussaiba Djeffal
- Asma Djama
- Mustapha Hemis
- Sidahmed Lachenani
- Billel Essaid
- Mohamed Ould Zmirli
- Abdelmalik Ouamane
Bibliographic data from OpenAlex (open database).
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