RESEARCH

With an interdisciplinary approach in the digital domain, our research team aims to design and implement solutions focusing on security and reliability in distributed systems, IoT systems, and blockchains. This constitutes innovative research paving the way for new exciting innovations and applications in the digital realm. The developed systems are built upon the latest technologies in Artificial Intelligence and Big Data.

​​| Research Laboratory |

Horizon's research laboratory is located in the heart of Novation City, within the IoT Lab, a dynamic environment conducive to innovation. 

In these stimulating premises, our students and research teams materialize several innovative prototypes. In addition to serving as a creative space, the laboratory regularly hosts seminars and specialized training sessions. These events foster knowledge exchange among researchers and professionals, thereby strengthening ties with companies and the thriving industrial ecosystem of Novation City. 

This active collaboration helps encourage the emergence of cutting-edge technological solutions and train a new generation of skilled and seasoned researchers..


| RESEARCH FIELDS |

Security in Distributed Systems

Distributed systems are ubiquitous in our modern digital environment. Our research focuses on the development of advanced techniques to ensure the security and confidentiality of data exchanged in these distributed environments. We particularly concentrate on implementing data protection standards and regulations such as GDPR.

IoT Systems (Internet of Things)

The Internet of Things represents a revolution in how objects interact and communicate with each other. Our research aims to address the challenges related to the security, reliability, and scalability of IoT systems. We explore innovative approaches to secure IoT devices, protect sensitive data, and ensure communication privacy within these interconnected networks. We particularly focus on the geospatial domain, where data sources can include spatial sensors such as drones and satellites. 

Blockchains

Blockchains have emerged as a revolutionary technology with potential applications in various fields, from finance to logistics to healthcare. Our research focuses on enhancing the security, efficiency, and scalability of blockchains. We explore innovative consensus techniques, improved privacy mechanisms, and solutions to address scaling issues to make blockchains more robust and adaptable to a wide range of applications.

| Collaborations with national and international laboratories |


SERCOM

Ecole Polytechnique de Tunisie, Université de Carthage

LAATIS

Eniso, Universié de Sousse

| RESEARCH TEAM |


Asma Mansour

asma.mansour@horizon-tech.tn


Sonia Kotel

sonia.kotel@horizon-tech.tn


Nawel Bayar

nawel.bayar@horizon-tech.tn


​Leila Ghazzah

leila.gazzah@horizon-tech.tn


Rania Yangui

rania.yangui@horizon-tech.tn

| PhD students |


Fatimata Dia

​
Title : Management of Massive Geomatic Data in IoT Systems

The thesis focuses on the storage and processing of geospatial data. Given the volume and heterogeneity of this data, the main objective is to develop efficient processing models and implement optimized storage to accelerate information retrieval. The choice of architecture and technologies will be validated through a case study, particularly focusing on forest fire detection. This practical approach will demonstrate the effectiveness of the system in real-world situations.

Keywords: NoSQL Databases, Deep Learning, Geo Big Data, IoT


| Recent publications |

   |  2023:


 Deep learning-based hard spatial attention for driver in-vehicle action monitoring. Expert Syst.Appl. (2023)
  •  Imen Jegham, Ihsen Alouani, Anouar Ben Khalifa, Mohamed Ali Mahjoub​

 Hard Spatial Attention Framework for Driver Action Recognition at Nighttime. Proceedings of the 15th International Conference on Agents and Artificial Intelligence, ICAART 2023, Volume 3, Lisbon, Portugal, February 22-24, 2023. SCITEPRESS 2023, ISBN 978-989-758-623-1
  •  Karam Abdullah, Imen Jegham, Mohamed Ali Mahjoub, Anouar Ben Khalifa​

 “From functional requirements to NoSQL database models: application to IoT Geospatial Data”. 1st International Workshop On Data Engineering in IoT Systems, DEITS'23, MEDI, Sousse 2023
  •  Fatimata Dia, Nawel Bayar, and Takoua Abdellatif​
 |  2022:


 Meta-RegGNN: Predicting verbal and full-scale intelligence scores using graph neural networks and meta-learning, Predictive Intelligence in Medicine - 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13564, Springer 2022, ISBN 978-3-031-16918-2
  •  I Jegham, I Rekik​

 A multi-convolutional stream for hybrid network for driver action recognition at nighttime 2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022, Istanbul, Turkey, May 17-20, 2022. IEEE 2022, ISBN 978-1-6654-9607-0
  •  K Abdullah, I Jegham, AB Khalifa, MA Mahjoub​

| International events |


| Gallery |