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Topics supported by the LAVIA laboratory:

The LAVIA laboratory focuses on themes related to the automatic processing of information from various sources and media. In today's information-rich world, there is a growing need to extract knowledge from different forms of information. Therefore, our motivation for selecting these themes and sub-themes is as follows: 

Images, Signals, Systems, and their applications

Biometrics
Medical imaging and clinical applications
Signal processing and analysis 
Modeling, analysis, and optimization of dynamic systems 
Artificial intelligence applied to signal and image processing

Computer vision systems 

Analysis and understanding of images and video streams 
Recognition, detection, categorization
 indexing, and matching 
Action recognition
Computational photography and photometry
Movement and tracking 
Media analysis for augmented and virtual reality.

Analysis of documents and media 

Speech analysis and recognition
Analysis and recognition of documents 
Natural language processing
Handwriting analysis
Handwriting analysis for the detection of degenerative diseases

Data mining and intelligent decision support systems  

Analysis of data from social networks
Analysis of information dissemination in social networks 
Sentiment analysis
Semantic analysis of data from social networks
Data mining for cybersecurity and network optimization

23

Members of the team

8

Doctoral students

4

Research team

4

Current projects

Research Teams

The LAVIA Laboratory is made up of four (4) research teams:
OUR Research Teams

Current projects

The current projects are shown below:

News & Articles

In this section, we will mention the news, events, and work that has been done or will be done at the laboratory level.

MedPRAI24 6th Mediterranean Conference on Pattern Recognition and Artificial Intelligence September 25-26, 2024

For more information please visit https://medprai.com/index.html.

April 21, 2024

Convolutional Autoencoder-Based medical image compression using a novel annotated medical X-ray imaging dataset

This study extend the investigation to the integration of the the proposed Medical X-ray Imaging Dataset MXID dataset into the domain of medical image compression.

Apil 21, 2024
Play Video
Segmentation-Verification for Handwritten Digit Recognition
Apil 21, 2024

Keyword Spotting from Historical Handwritten Manuscripts using CLBP and CRLBP

This paper uses query-by-example (QBE) and a segmentation-based technique to investigate keyword spotting in historical documents.

April 21, 2024

المجلات العلمية

تعلن المديرية العامة للبحث العلمي والتطوير التكنولوجي عن تحيين قوائم المجلات العلمية من صنف أ ، ب ، والمجلات المفترسة والناشرين المفترسين.

April 21, 2024
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