Responsible AI & Scientific Computing

Dr Mireille Esther Gettler Summa

Senior Scientific Advisor — Data Science, Machine Learning & Applied AI

Mathematician and Data Science researcher with more than four decades of experience spanning statistical learning, Machine Learning, European R&I and applied AI.

Dr Chedia Jarray

PhD in Electrical Engineering

Chedia Jarray holds a PhD in Electrical Engineering.

Mohamed Khayri Rahmani

PhD in Electrical Engineering

Mohamed Khayri Rahmani holds a PhD in Electrical Engineering and researches AI-driven energy efficiency and intelligent control.

2026-07-22 · Architectural Engineering and Design Management

The twin-federated-loop architecture: a privacy-preserving and personalized approach to thermal comfort management

Hajer Chtioui; Mohamed Khayri Rahmani; Mireille Gettler Summa; et al.

This journal article presents the Twin-Federated-Loop architecture, focusing on privacy preservation and personalization in thermal comfort management.

2025-12-22 · Advances in Building Energy Research

Numerical and experimental study using a novel approach to balance data for thermal comfort prediction

Mohamed Khayri Rahmani; Hajer Chtioui; Jalel Ben Hadj Slama; et al.

This journal article examines a novel data-balancing approach for thermal comfort prediction through numerical and experimental study.

2025-11-20 · 2025 IEEE International Conference on Advances in Data-Driven Analytics And Intelligent Systems (ADACIS)

Predictive Trajectory-Based Thermal Comfort Control in Smart Buildings

Mohamed Khayri Rahmani; Hajer Chtioui; Jalel Ben Hadj Slama; et al.

This conference paper examines predictive trajectory-based control of thermal comfort in smart buildings.

2025-07-15 · 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)

Gender Role in Thermal Comfort Prediction in Industrial Environments Using a Novel XGBoost Approach

Mohamed Khayri Rahmani; Hajer Chtioui; Jalel Ben Hadj Slama; et al.

This conference paper examines the role of gender in thermal comfort prediction in industrial environments using an XGBoost approach.

2025-07-15 · 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)

Transfer Learning for Predicting Thermal Comfort in Office Environments with Climate Similar to Tunisia: Overcoming Data Scarcity with Deep GRU-BiGRU Models

Mohamed Khayri Rahmani; Hajer Chtioui; Jalel Ben Hadj Slama; et al.

This conference paper explores transfer learning with deep GRU-BiGRU models to address data scarcity in thermal comfort prediction for office environments with climates similar to Tunisia.

2024-03-27 · Journal of Telecommunications and the Digital Economy

Natural Language Processing for Detecting Brand Hate Speech

Latifa Mednini; Zouhaira Noubigh; Mouna Damak Turki

Brand hate is a complex feeling that is not easy for companies to recognize. Mednini and Turki (2022) have confirmed that hate can originate from genuine brand haters or an employee who works with competitors, to…

2023-07 · Journal of Network and Computer Applications

Age of Information minimization in UAV-aided data collection for WSN and IoT applications: A systematic review

Oluwatosin Ahmed Amodu; Umar Ali Bukar; Raja Azlina Raja Mahmood; et al.

The use of unmanned aerial vehicles (UAVs) for data gathering in wireless sensor networks (WSNs) and Internet of Things (IoT) applications has significantly gained interest in recent years. This shift is mainly attributed to the fast…

2023-04-11 · Drones

A Survey on the Design Aspects and Opportunities in Age-Aware UAV-Aided Data Collection for Sensor Networks and Internet of Things Applications

Oluwatosin Amodu; Rosdiadee Nordin; Chedia Jarray; et al.

Due to the limitations of sensor devices, including short transmission distance and constrained energy, unmanned aerial vehicles (UAVs) have been recently deployed to assist these nodes in transmitting their data. The sensor nodes (SNs) in wireless…

2023-03 · Ad Hoc Networks

THz-enabled UAV communications: Motivations, results, applications, challenges, and future considerations

Oluwatosin Ahmed Amodu; Chedia Jarray; Sherif Adeshina Busari; et al.

Unmanned aerial vehicles (UAVs) and Terahertz (THz) communication are promising technologies envisioned to support the race towards enhanced performance with respect to data rate, reliability, coverage, etc. Research on the merger of these two technologies for…