Accueil › Annuaire des chercheurs › Sameh Kaziz
Sameh Kaziz
Affiliation : Centre de Recherche en Microelectronique et Nanotechnologie · University of Sousse
- 32Publications (affiliation tunisienne)
- 32Publications au total
- 573Citations
- 14Indice h
Profil de recherche
Sameh Kaziz compte 32 publications référencées (2015–2026). Ses travaux paraissent principalement dans « IEEE Sensors Journal », « The European Physical Journal Plus » et « Plasmonics ». Son article le plus cité, « Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms » (2024), a été cité 97 fois. 17 de ces publications datent des trois dernières années d’activité. Ses travaux sont cosignés avec au moins 12 chercheurs, notamment dans des établissements de Arabie saoudite.
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Créer mon profil gratuit Ajouter mes publicationsDomaines de recherche
- Microfluidic and Capillary Electrophoresis Applications
- Biosensors and Analytical Detection
- Advanced Fiber Optic Sensors
- Plasmonic and Surface Plasmon Research
- Photonic Crystal and Fiber Optics
Publications (32)
- IoT-Enabled PCF-SPR Glucose Sensor With MLP-Based Performance Prediction
- Integrated Experimental–Numerical PCF-LSPR Sensor for Dopamine Monitoring
- Optimization of Coriolis-driven Lab-on-a-CD biosensors for CRP detection using Box-behnken Design and hybrid TLBO-ANN modeling
- Smart Sensing Nanoplatform with ML-Enhanced Prediction for Simultaneous Neurotransmitter Detection
- Artificial Intelligence Optimization of Au Nanoparticles-Based Photonic Crystal Fiber Biosensor
- Highly Sensitive PCF-SPR Magnetic Sensor Based on Statistical Optimization and MLP Modeling
- Design and optimization of grating based D-shaped PCF-SPR sensor through Taguchi method for RI-based blood cancer sensing
- Performance Prediction of a Highly Sensitive Optimized PCF-SPR Biosensor for Cancer Cell Detection Using MLP-Based ANN Model
- Novel Optimization Approach and AI Performance Prediction of a Highly Sensitive V-Shaped PCF-SPR Sensor for Cancer Cell Detection
- Plackett–Burmann Design and Machine Learning Models for Optimization and Prediction of Confinement Loss in PCF Sensor
- Optimizing microfluidic chip for rapid SARS-CoV-2 detection using Taguchi method and artificial neural network PSO
- Full Confinement Loss Prediction in a Novel X-Shaped PCF-SPR Cancer Biosensor
- Hybrid BBD-ML optimized X-shaped PCF-SPR sensor for sensitive malaria detection
- Optimization for V-Shaped PCF-SPR Sensor Using Machine Learning Approaches
- Optimizing PCF-SPR sensor design through Taguchi approach, machine learning, and genetic algorithms
- Optimization of Lab-On-a-CD by Experimental Design and Machine Learning Models for Microfluidic Biosensor Application
- Optimizing and Predicting Performance of Dual-Side Polished SPR Photonic Crystal Fiber using MLR and ANN Models
- Taguchi method: artificial neural network approach for the optimization of high-efficiency microfluidic biosensor for COVID-19
- Numerical simulation and optimization of AC electrothermal microfluidic biosensor for COVID-19 detection through Taguchi method and artificial network
- Optimization of annular microfluidic biosensor enhanced by active and passive effects using Taguchi’s method coupled with multi-layer perceptron neural networks (MLP-NN) models
- Numerical optimization of microfluidic biosensor detection time for the SARS-CoV-2 using the Taguchi method
- Enhancement of SARS-CoV-2 Detection Time for Integrated Flow Confinement Microfluidic Biosensor
- Optimization of Microfluidic Biosensor Enhanced by Electrothermal Effect Using Taguchi's Method Coupled with MLP-ANN Models
- Hybrid Taguchi-Artificial Neural Network Method for Design and Optimization of Microfluidic Biosensor
- Taguchi optimization of electrothermal microfluidic annular biosensor for rapid SARS-CoV-2 detection
- Taguchi optimization of integrated flow microfluidic biosensor for COVID-19 detection
- 3D simulation of microfluidic biosensor for SARS-CoV-2 S protein binding kinetics using new reaction surface design
- Design parameters optimization of an electrothermal flow biosensor for the SARS-CoV-2 S protein immunoassay
- Simulation of Microfluidic Biosensor for Binding Kinetics of SARS-CoV-2 S Protein Using the Electrothermal Effect
- Enhancement of COVID-19 detection time by means of electrothermal force
- Modulation of Active Sites in Supported Au38(SC2H4Ph)24 Cluster Catalysts: Effect of Atmosphere and Support Material
- Pd 2 Au 36 (SR) 24 cluster: structure studies
Revues de publication
- IEEE Sensors Journal × 6
- The European Physical Journal Plus × 4
- Plasmonics × 2
- Scientific Reports × 2
- Microfluidics and Nanofluidics × 2
- Indian Journal of Physics × 2
Publications par année
- 20267
- 20257
- 20243
- 20238
- 20224
- 20211
- 20152
Collaborations
Établissements partenaires : University of Monastir · Majmaah University
Pays des co-auteurs : Arabie saoudite
Co-auteurs
- Fraj Echouchene
- Mohamed Hichem Gazzah
- Chérif Dridi
- Ibrahim Ben Mariem
- Randa Khemiri
- Hafedh Belmabrouk
- Lamia Guedri-Knani
- Asma Jemmali
- Dhouha Grina
- Maissa Belkhiria
- Yosra Saad
- Maroua Moslah
Données bibliographiques issues d’OpenAlex (base ouverte).
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