Farou Brahim

       Brahim FAROU received State Engineer degree in computer science systems from National School of Computer Science (Algiers, Algeria) in 2006 and the Magister degree in the sciences and technologies of information and communication from Guelma University in 2009. He received his DSc in Computer Science with distinction in 2016 and the HDR degree with distinction in 2018 from the University of Annaba, Algeria. He is currently associate professor in the computer science department, Guelma University and GADM team member at LabSTIC laboratory. He also occupied many administrative positions, he was deputy head of department responsible for teaching from 2010 to 2012 and he is currently deputy head of the department responsible for post-graduation. His research interests include color constancy, video mining, object recognition, object tracking, surveillance systems and computer vision.

COORDONNEES PROFESSIONNELLES

Enseignant chercheur au département d'informatique

Grade: Professeur

Email Professionnel :farou.brahim@univ-guelma.dz

               

AXES DE RECHERCHE :

Neural Network and Artificiel Intelligence , Big Data; Deep Learning; Data Science, IOT, Image Segmentation, Machine Vision, Image Segmentation, Computer Vision

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 Publications et Communication récentes:

 

 

1.

Rania Farah,Brahim Farou,Zineddine Kouahla,Hamid Seridi,"Data Driven Models on Load Forecasting,"https://doi.org/10.1016/j.dib.2023.109854,In Press, Journal Pre-proof ,Nov 2023,

2.

Dia Eddine Berini,Mohamed Amine Ferrag,Brahim Farou,Hamid Seridi, ‘’Authentication Schemes for Internet of Drones: Taxonomy, Threat Models, and Future Directions’’ ; 3rd International Conference on Computing and Information Technology (ICCIT)At: Tabuk, Saudi Arabia, 2023.

3.

Samir Hallaci,Brahim Farou,Zineddine Kouahla,Hamid Seridi,’’New approach based on light enhancement and real-time dual CNN for classification of COVID-19 X-ray images’’, Evolving Systems,DOI:10.1007/s12530-023-09541-w,2023

4.

Ala-Eddine Benrazek, Brahim Farou,Zineddine Kouahla, Mohamed Amine Ferrag,Hamid Seridi ;’’IoVT-based efficient solution for optimal active smart camera selection in a tracking mission’’ ; Internet of Things 24(5) ;DOI:10.1016/j.iot.2023.100941
5.

Farah Rania,Brahim Farou,Zineddine Kouahla,Hamid Seridi,’’A Comparison of the Finest Electrical Energy Forecast Models’’, International Conference on Decision Aid Sciences and Applications (DASA), 2023, DOI:10.1109/DASA59624.2023.10286785.
6.

Mabrek Zahia,Brahim Farou,Zineddine Kouahla,Hamid Seridi,’’Optimizing Data Transmission in IoT-Based Drone Networks Through Fog Area Division’’, International Conference on Decision Aid Sciences and Applications (DASA),2023 ; DOI:10.1109/DASA59624.2023.10286737
7.

Djakhdjakha Lynda,Brahim Farou,Hamid Seridi,Cissé Hamadoun,’’Towards a Semantic Structure for Classifying IoT Agriculture Sensor Datasets : An Approach based on Machine Learning and Web Semantic Technologies’’, Journal of King Saud University - Computer and Information Sciences 35(8):101700, DOI:10.1016/j.jksuci.2023.101700
8.

Ala-Eddine Benrazek,Zineddine Kouahla,Brahim Farou,Hamid Seridi,’’Tree-based indexing technique for efficient and real-time label retrieval in the object tracking system’’, The Journal of Supercomputing 79(18):1-38, DOI:10.1007/s11227-023-05478-8
9.

Karima Khettabi,Zineddine Kouahla,Brahim Farou,Hamid Seridi,Efficient Method for Continuous IoT Data Stream Indexing in the Fog-Cloud Computing Level, Big Data and Cognitive Computing 7(2):119, DOI:10.3390/bdcc7020119
10

Dia Eddine Berini, Mohamed Amine Ferrag, Brahim Farou, Hamid Seridi,’’HCALA: Hyperelliptic curve-based anonymous lightweight authentication scheme for Internet of Drones’’, Pervasive and Mobile Computing 92(2):101798, DOI:10.1016/j.pmcj.2023.101798
11.

Zahia Mabrek; Brahim Farou; Zineddine Kouahla; Nadjette Benhamida; Hamid Seridi,A novel drone recovery system in IoT environment,, International Journal of Sensor Networks, 2023 Vol.42 No.1, pp.52 – 66, DOI: 10.1504/IJSNET.2023.131250

12.

 Hocine Merabti, Brahim Farou, Hamid Seridi,” A Segmentation-Recognition Approach with a Fuzzy-Artificial Immune System for Unconstrained Handwritten Connected Digits”, Informatica, Volume 42,Issue 1,Pages 95-106, 2018.