The Artificial Intelligence and Applications Laboratory

 Introduction to the Laboratory

The Artificial Intelligence and Applications Laboratory is a research unit affiliated with the Faculty of Exact Sciences at the university. It provides an advanced scientific environment for researchers and doctoral students to address all challenges in the field of artificial intelligence, as well as all aspects of designing complex systems, from modeling to implementation. The laboratory is distinguished by its modern technical equipment and hosts numerous research teams, making it a platform well-suited for scientific exchange and research collaboration.

 PR.Abdelkader Laouid

Director of the Artificial Intelligence Laboratory and its Applications

Objectives of the laboratory and the objectives of each research team

  • The Artificial Intelligence and Applications Laboratory aims to provide research opportunities to develop or improve solutions related to the challenges facing our environment. Additionally, the laboratory seeks to offer an advanced research and educational environment for researchers and doctoral students by providing the necessary tools and mechanisms for this purpose.

     

    • • Team 1 strives to adapt traditional algorithms and apply them to networks suffering from significant resource constraints. Today’s world is interconnected with various types of mobile devices that offer numerous advantages but often face challenges related to energy, computational power, and limited storage units., ..
    • • Team 2 aims to leverage artificial intelligence tools, methods, and techniques, as well as advanced information systems, to provide solutions and designs for applications in the agricultural sector in the Wadi and Southern regions.
    • • Team 3 seeks to develop metaheuristic algorithms to study and analyze complex systems across multiple fields. The research focuses on using metaheuristics as tools for analyzing and designing complex dynamic systems, in addition to employing them to solve challenging mathematical optimization problems (NP-hard). Research applications span areas such as artificial intelligence, big data, energy, transportation, computer vision, smart cities, and the Internet of Things. Emphasis is also placed on developing hybrid models that combine multiple algorithms to achieve optimal performance in cloud and fog computing environments., .NP-difficile), ., ..
    • Team 4 aims to develop and apply formal methods to verify the correctness and security of information systems, particularly sensitive and complex ones. The research focuses on designing precise formal models based on modeling languages such as UML and OCL, as well as extended Petri nets, to ensure the analysis and testing of systems before implementation. This helps reduce errors and strengthen cybersecurity. The team also seeks to integrate artificial intelligence into verification processes and develop solutions for verifying critical software in fields such as aviation, healthcare, and industrial systems.

Description of the importance of laboratory equipment

The laboratory includes several modern equipment and technologies that encourage innovation and contribute to enhancing the research and educational environment, thereby improving the quality of research and scientific experiments. Some of these equipment include:,.:

  • High-performance computers dedicated to research, design, and software modeling in the field of artificial intelligence.
  • A 3D printer for creating initial models and prototypes of robots and producing essential components for projects and research in a tangible form.
  • A drone for collecting images and geographic data crucial for training algorithms and models, as well as applying algorithms in real time., .
  • A smart board for delivering interactive lessons and participating in national and international conferences.

Various chips, sensors, and electronic components for building specialized hardware and testing ideas realistically on a small scale.

 

 Activities of the laboratory in collaboration with other entities

  • Participation of doctoral students affiliated with the laboratory in the International Conference on Pattern Analysis and Intelligent Systems (PAIS '24), held on April 24-25, 2024, at the University of Chahid Hamma Lakhdar - El Oued. PAIS ’24 ..

Organization of a training workshop for doctoral students in the department titled "Unleashing the Power of Blockchain Technology Capabilities" on January 29, 2024, supervised by Dr. Noureddine Al-Asla, a professor at the Higher School of Artificial Intelligence - Algiers.

 The human composition of the laboratory 

 First Research Team

Team Leader:

Name: Laouid Abdelkader

Rank: Professor

Specialization: informatique

Professional Email: [email protected]

Phone Number:0669124780

Name

Rank

Specialization

Professional Email

Phone Number

Personal Photo

Madilh Essassi

Assistant Professor B

informatique

[email protected]

0664611833

Khalifa Abdel Nasser

Assistant Professor B

informatique

[email protected]

0674199613

Obeid Mohammed Nadhir

PhD Student

informatique

[email protected]

0675463228

Miloudi Amara

PhD Student

informatique

[email protected]

0782837281

Second Research Team

PhD Student

informatique

[email protected]

0657843108

 

 Second Research Team

Team Leader:

Name: Meftah Sharaf Eddine

Rank: Professor

Specialization: informatique

Professional Email: [email protected]

Phone Number:0661896380

Name

Rank

Specialization

Professional Email

Phone Number

Personal Photo

Karthiu Ismail

Assistant Professor A

informatique

[email protected]

0661667166

Bali Muadh

Assistant Professor A

informatique

[email protected]

0665510957

Barjouh Shafiq

Assistant Professor B

informatique

[email protected]

0699430284

Righi Thabit

PhD Student

informatique

[email protected]

0656669789

 

 Third Research Team

Team Leader:

Name: Ben Ali Abdelkamel

Rank: Assistant Professor A

Specialization: informatique

Professional Email: [email protected]

Phone Number:0664425417

Name

Rank

Specialization

Professional Email

Phone Number

Personal Photo

Elzaiz Fawzi

Assistant Professor B

informatique

[email protected]

0780086823

Hammoud Maryam

Assistant Professor B

informatique

[email protected]

0550357304

 

Yaqoub Mohammed Amin

Assistant Professor B

informatique

[email protected]

0662748640

Gaya Sanaa Sahar

Assistant Professor A

informatique

[email protected]

0665949628

 

Halouat Hakim Saif Eddine

PhD Student

informatique

[email protected]

0676538606

Ben Saleh Hazem

PhD Student

informatique

[email protected]

0665079947

 

 Fourth Research Team

Team Leader:

Name: Abbas Messaoud

Rank: Assistant Professor A

Specialization: informatique

Professional Email: [email protected]

Phone Number:0662307238

Name

Rank

Specialization

Professional Email

Phone Number

Personal Photo

Bouchrit Ammar

Assistant Professor A

informatique

[email protected]

0664256208

Nawi Mohammed Anwar

Assistant Professor A

informatique

[email protected]

0699562910

 

Othmani Samir

Assistant Professor A

informatique

[email protected]

0655989377

 

samir guediri

PhD Student

informatique

[email protected]

0664229249

Elamouri Mohammed Lamine

PhD Student

informatique

[email protected]

0674347589

 

Bouhamed Mohammed Mounir

Assistant Professor B

informatique

[email protected]

0676512199

The scientific output of the Artificial Intelligence Laboratory.

  1. Arabic opinion mining using machine learning techniques: Algerian dialect as a case of study
  2. Rule-Based Arabic Sentiment Analysis using Binary Equilibrium Optimization Algorithm
  3. Machine learning to classify religious communities and detect extremism on social networks: Ml to crcs and de through text tweets on sns
  4. Machine/Deep Learning for obfuscated malware Detection
  5. Categorization of Digital Pathology Image using Deep Learning model
  6. Tuberculosis Detection Using Chest X-Ray Image Classification by Deep Learning
  7. Tuberculosis detection using chest X-ray image classification by deep learning
  8. Pelican Gorilla troop optimization based on Deep feed forward neural network for human activity abnormality detection in smart spaces
  9. An Intelligent Approach Based on Cleaning up of Inutile Contents for Extremism Detection and Classification in Social Networks
  10. A secure multi-agent-based decision model using a consensus mechanism for intelligent manufacturing tasks
  11. A Data Communication Based on Deep Learning Model for Efficient IoT Energy Clustering
  12. Enhancing Proximal Policy Optimization in the Pendulum-v1 Environment Through Clustering-Based State Space Simplification
  13. Comparative Analysis and Application of Large Language Models on FAQ Chatbots
  14. An intelligent agriculture monitoring framework for leaf disease detection using YOLOv7
  15. Intelligent Image Text Detection via Pixel Standard Deviation Representation
  16. A nature-inspired partial distance-based clustering algorithm
  17. Reinforcement Learning Approach for IoT Security using CyberBattleSim: A Simulation-based Study
  18. Using transformers to classify arabic dialects on social networks
  19. Techniques intelligentes pour la gestion de la cohérence des Big data dans le cloud
  20. The KD-GATS algorithm: A way for Optimizing Data Replication with Kruskal-Dijkstra and Genetic Tabu Strategy
  21. SMART Irrigation System (SMARTIS)—Desert Areas
  22. A CNN Model for Early Leukemia Diagnosis
  23. Human Activity Recognition with Anomaly Prediction for E-Health Systems using Lightweight AI
  24. Artificial Intelligence aware Knowledge Graphs and Deep Learning-Based Diagnostic Prediction Model in Healthcare
  25. Comprehensive learning TLBO with recursive precedence-based solution construction and multilevel local search for the linear ordering problem
  26. Improving damage classification via hybrid deep learning feature representations derived from post-earthquake aerial images
  27. A Hybrid GAN-ANN-Based Model for Diabetes Prediction
  28. POSTER – Perspectives d’utilisation de l’IA pour détecter et prends soin les TSA
  29. Intelligent models for early Autism detection from MRI images
  30. A maintainable and iterative development approach of critical systems with FoCaLiZe
  31. A rewriting logic based behaviour semantics of discrete event systems models with complex dynamics
  32. PN2Maude: An automatic tool to generate Maude specification for Petri net models
  33. An Example of a Dynamic CPN Model to Obtain Routes in the Presence of Obstacles Detected Using Machine Learning Techniques
  34. A deep-based compound model for lung cancer detection
  35. Dzchatbot: a medical assistant chatbot in the Algerian Arabic dialect using seq2seq model
  36. Federated learning for multi-institutional on 3D brain tumor segmentation