Senior Lecturer, Université Savoie Mont Blanc, IUT d'Annecy
Contact:
E-mail: khadija.arfaoui -@- univ-smb.fr
Telephone: +33(0) 4 50 09 65 59
Office: A 222
Address: LISTIC - Polytech Annecy-Chambéry, BP 80439 - Annecy le Vieux - 74944 ANNECY Cedex, France
Research topics:
My research interests include parallel computing, distributed computing and computer communications. I have mainly worked on optimizing the performance of data-intensive systems, such as the scheduling of scientific workflows in the Cloud and the design and processing of Big Data warehouses. I'm currently working on optimizing the architecture of convolutional neural networks (CNNs) to reduce energy consumption and improve performance.
Framing :
Theses :
2021-2024: Asma Dhaouadi (defended on 11/12/2024)
Theme: Modeling Data Warehousing in the context of Big Data
Summary:
In the era of Big Data, the rapid evolution of technologies makes the choice of tools adapted to experts' needs a complex one. Existing studies on Big Data storage and analysis are often limited and specific. To overcome these limitations, this thesis proposes a generic modeling approach, inspired by model-driven architecture, to guide technology choice at every stage. An interactive framework helps to model a customized pipeline and verify tool interoperability, with connector recommendations. This framework has been validated through case studies on COVID-19 and the 2022 World Cup. User feedback has been satisfactory (85% satisfaction rate).
Internships:
2023: William Paccoud, M2 internship, performance analysis of Big Data warehousing tools
2022: Moenes Ben Soussia, M2 internship, Dynamic load balancing of Cloud servers based on machine learning techniques
2021: EZ-ZAROUALY AZIZA M1 internship, Study and extension of orchestration mechanisms for scientific data stream
for the MUST platform
Key words:
Cloud Computing, Load Balancing, Reinforcement Learning, MUST, Scheduling, Scientific Workflows, Distributed Environments, Data Warehousing, Big Data, Decision Support, Machine Learning, Interoperability, Green Computing, CNN, Neural Networks.
Publications:
Here is the link to my publications on HAL: here
Here is the link to my updated publications from Google Scholar: here
Reading committees:
International magazines:
- IEEE Transactions on Industrial Informatics
- Intelligent Decision Technologies
- International Journal of Computing
- IEEE Transactions on Neural Networks and Learning Systems
- Journal of King Saud University - Computer and Information Sciences
- Jordanian Journal of Computers and Information Technology
International conferences:
- International Conference on Software Engineering Advances (ICSEA 2024, 2022)
-
International Conference on Control, Decisionand Information Technologies(CoDIT 2024, 2023)
- International Conference on the Sciences of Electronics, Technologies of Information and Telecommunications
(SETIT'18) - international conference on Sciences and Techniques of Automatic control and computer engineering
(STA'19)
Teaching:
| Module information | Description |
| Name: Optimization methods for decision support
Hourly volume: 15H Level: BUT 3 - all courses |
This module aims to introduce students to the fundamentals of optimization methods used in decision-making and resource management. Courses will cover techniques such as linear programming, nonlinear programming, as well as heuristic and meta-heuristic approaches adapted to complex problems. Applications include logistics, project planning and business scenario analysis. |
| Name: Optimization methods: introduction to machine learning
Hourly volume: 15H Level: BUT 2
|
This module provides an introduction to the fundamental concepts and tools of machine learning for second-year BUT students. The main objectives are:
- Understand the basics of machine learning, including classification, regression and clustering. - Discover the links between optimization and machine learning, such as optimizing cost functions and adjusting hyperparameters. |
| Communication and low-level operation
Hourly volume: 50H Level BUT 1 |
This module introduces students to the basics of machine-to-machine communication. It covers :
|
| Name: Network Architecture
Hourly volume: 50 H Level: BUT 2, semester 3 |
This module takes an in-depth look at the structuring and organization of computer networks. It includes :
|
| Name: Réseaux Avancés
Hours: 18H Level: BUT 2, semester 4 |
This module explores advanced technologies and issues in modern networks:
|
| Name: Graph theory
Hourly volume: 22H Level: BUT 1 |
|
| Name: Automata and languages
Hourly volume: 22H Level: BUT2, semester 4 |
|
Career path:
Since 2020: Senior lecturer at Annecy IUT
- University: Université Savoie Mont Blanc
- Laboratory: LISTIC, École Polytechnique d'Annecy
- Research team: Representation, Management and Processing of Data for Humans (ReGaRD)
2019 - 2020 : Post-doctoral internship at LAMSADE
- Topic: Multi-objective optimization of scheduling intensive scientific workflows in a Cloud Computing environment, guided by data localization.
- Location: LAMSADE, Université Paris Dauphine, Paris, France
2018 - 2020 : Temporary teaching and research associate (ATER), University of Paris Nanterre, UFR SEGMI.
2013 - 2017 : PhD thesis, RIADI-GDL Laboratory, La Mannouba, Tunisia
- Subject: Scalable approach to scheduling scientific workflows in a Cloud Computing environment, guided by quality of service (QoS) and energy consumption.
- Venue: Tunis Faculty of Science, University of Tunis El Manar
- Research laboratory: RIADI-GDL, Université de la Manouba, Tunisia
- Supported in 2017
2010 - 2013: C/C++ design and development engineer
- Company: EUROGICIEL Ingénierie, Tunisia
- Mission: Design and development of embedded applications in C/C++.
- Customers: SAGEM Défence, THALES, EURODOC
2009 - 2010: C/C++ design and development engineer
- Company: SAGEM COMMUNICATION
- Mission: Development of embedded applications in C/C++.
- Customers: SAGEM COMMUNICATION, Bouygues Télécom
2011: Research Master's degree in computer science, software engineering and decision support
-
- Research laboratory: RIADI-GDL, Université de la Manouba, Tunisia.
2008: Diploma in computer engineering
-
- Institution: National School of Computer Science (ENSI), Tunisia.
2003: Baccalauréat, Mathematics option