A Deep Neural Network based Approach to Energy Efficiency Analysis for Cloud Data Center

A Hybrid GPU-FPGA-based Computing Platform for Machine Learning

A Modeling and Verification Approach to the Design of Distributed IMA Architectures Using TTEthernet

A Real-Time Concurrent Constraint Calculus for Analyzing Avionic Systems Embedded in the IMA Connected Through TTEthernet

A Time-Triggered Constraint-Based Calculus for Avionic Systems

A Tool Suite for the Generation and Validation of Configurations for Software Availability

A hybrid GPU-FPGA based design methodology for enhancing machine learning applications performance

A model-based framework for the design of a symbolic scheduler for pre-emptive real-time tasks

A selective dynamic compiler for embedded Java virtual machines targeting ARM processors

A tool chain for generating the description files of highly available software

An empirical study on detecting fake reviews using machine learning techniques

Building Sentiment Analysis Model and Compute Reputation Scores in E-Commerce Environment Using Machine Learning Techniques

COSMIC Functional Size Measurement Using UML Models

Checking Service Instance Protection for AMF Configurations

Consistency of UML/SPT Models

Design and simulation of distributed IMA architectures using TTEthernet: a model-driven approach

Distributed Real-Time Behavioral Requirements Modeling Using Extended UML/SPT

Diversity-Based Approaches to Software Systems Security

E-Bunny: A Dynamic Compiler for Embedded Java Virtual Machines

Enabling Fog–Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT–Cloud Platform for Future Smart Parking

scientific article published in 2022

Enhancing OpenStack Fault Tolerance for Provisioning Computing Environments

Event driven and semantic based approach for data processing on IoT gateway devices

Experimental Evaluation of OpenStack Compute Scheduler

Exploring Early Availability Requirements Using Use Case Maps

Facilitating Workload Aware Storage Platform by Using Machine Learning Technics

From UML/SPT models to schedulability analysis: approach and a prototype implementation using ATL

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

scientific article published on 05 July 2020

Iterative integration of TTEthernet network flows

Leveraging Linux Containers to Achieve High Availability for Cloud Services

MID: A MetaCASE Tool for a Better Reuse of Visual Notations

Middleware-managed high availability for cloud applications

Model-Driven Approach to the Optimal Configuration of Time-Triggered Flows in a TTEthernet Network

Model-based Approach to Data Center Design and Power Usage Effectiveness Assessment

Multi Features and Multi-time steps LSTM Based Methodology for Bike Sharing Availability Prediction

Multispectral Image Reconstruction From Color Images Using Enhanced Variational Autoencoder and Generative Adversarial Network

NorJADE

scientific article published in 2019

On the Semantic Transparency of Visual Notations: Experiments with UML

Openstack scheduler evaluation using design of experiment approach

Performance Measurement for Cloud Computing Applications Using ISO 25010 Standard Characteristics

Rule based auto-scalability of IoT services for efficient edge device resource utilization

Rule based lightweight approach for resources monitoring on IoT Edge devices

SMT-Based Cost Optimization Approach for the Integration of Avionic Functions in IMA and TTEthernet Architectures

Schedulability Analysis Approach for UML-Based Real-Time Models

Self-Healing Redundancy for OpenStack Applications through Fault-Tolerant Multi-Agent Task Scheduling

Simple Leaderless Consistency Protocol

Specifying Avionic Embedded Systems by Denotations of the Time-Triggered Constraint-Based Calculus

TaijiGNN: A New Cycle-Consistent Generative Neural Network for High-Quality Bidirectional Transformation between RGB and Multispectral Domains

The Impact of the Model-Driven Approach to Software Engineering on Software Engineering Education

Timed-Automata Semantics and Analysis of UML/SPT Models with Concurrency

UML Profiles for Real-Time Systems and their Applications

Unfair Reviews Detection on Amazon Reviews using Sentiment Analysis with Supervised Learning Techniques

Virtual Machine Classification-based Approach to Enhanced Workload Balancing for Cloud Computing Applications