First National Conference on Innovation
in Data Engineering and AI Science

Exchange to Innovate

11 - 12 June 2025 at University of Science and Technology Of Oran Mohamed Boudiaf USTO MB

 

Welcome to IDEAS 2025!
The IDEAS 2025 conference is a Hybrid major scientific event focused on the latest advancements in data engineering and artificial intelligence. It will bring together researchers, professionals, and students to explore new perspectives and applications of cutting-edge technologies in the field.

This event offers a unique platform to discuss current challenges, innovative solutions, and emerging trends in intelligent systems, data science, and AI.

Why Attend IDEAS 2025?
The goal of this conference is to bring together leaders in the field of AI and data engineering to:

  • - Explore the latest trends and innovations in data technologies and AI.

  • - Share research and practical solutions to current challenges in the field.

  • - Establish partnerships between researchers, professionals, and students for a better digital future.

We invite you to attend the conference, submit your research, and work with us to influence technology in the future!

 

Call for Papers

The Steering Committee of the National Conference on Innovation in Data Engineering and AI Science (IDEAS 2025) is delighted to invite researchers, practitioners, and academics to submit their original contributions to this exciting event. You can find the poster here and the flyer of the event,

We look forward to your submissions and welcoming you to IDEAS 2025 for a memorable and innovative event!

 

DEADLINES

  • Submission Deadline: April 25, 2025
  • Notification of Acceptance: May 20, 2025
  • Camera-Ready Submission: June 1, 2025
  • Conference Dates: June 11-12, 2025

SUBMISSION

  • Authors are invited to submit original, unpublished research papers. Submissions must adhere to the following guidelines:

      • Short Papers: 2-3 pages, including references.
      • Long Papers: 6-8 pages, including references.
  • All papers will undergo a double-blind peer-review process.

 

PUBLICATION

Accepted papers will be included in the conference proceedings and may be considered for publication in a special issue of COST and AJRT Journals.

TOPICS

The IDEAS 2025 conference highlights six main axes, reflecting its commitment to innovation in data engineering and artificial intelligence. Relevant topics include, but are not limited to:  

Big Data Analytics and Visualization

  • - Big Data Frameworks, Data Visualization Techniques, Real-Time Analytics, Predictive Analytics Models

  • - Business Intelligence Integration, Scalable Data Storage, IoT Data Analytics.

  • - Ethical Data Challenges, Healthcare Data Insights, Emerging Analytics Trends.

Artificial Intelligence and Machine Learning

  • - Deep Learning Models, Reinforcement Learning Techniques, Natural Language Processing

    • - AI in Healthcare, Computer Vision Applications, Explainable AI Methods

    - Ethical AI Challenges, Transfer Learning Approaches, Federated Learning Systems, AI for Cybersecurity

Data Engineering and Intelligent Systems

  • - Data Quality Management, Edge Computing Frameworks, Smart Decision Systems.

  • - Data Pipeline Design, Distributed Data Systems, Cloud Data Integration, Intelligent System Architectures

  • - Automated Data Processing, Knowledge Representation Models, Intelligent IoT Systems.

AI Applications in Industry and Healthcare

  • - AI in Manufacturing, Predictive Maintenance Models, Smart Supply Chains, AI in Finance.

  • - Personalized Healthcare Solutions, Medical Imaging Analysis, Drug Discovery Automation.

  • - AI for Remote Monitoring, Healthcare Chatbots Development, Robotics in Surgery.

Ethics, Privacy, and Security in AI and Data Science

  • - AI Ethical Frameworks, Bias in Algorithms, Data Privacy Laws, Secure Data Sharing.

  • - AI in Cybersecurity, Explainability in AI, Responsible Data Usage.

  • - Adversarial AI Attacks, Trustworthy AI Systems, Privacy-Preserving Models.

Emerging Trends in AI and Data Science

  • - Quantum Machine Learning, Neuromorphic Computing, AI-Driven Automation, Synthetic Data Generation.

  • - Autonomous Systems Evolution, Edge AI Integration, Human-AI Collaboration.

  • - AI in Blockchain, Multimodal AI Models, Sustainable AI Practices.

AUTHOR GUIDELINES

 

Submission Process

Ethical Standards

By submitting a paper, authors agree to the following:

Late submissions or incomplete papers will not be reviewed.

Camera-Ready Submission

Once a paper is accepted, authors will be required to:

Presentation at the Conference

At least one author of each accepted paper must register for the conference and present their work during the scheduled session. Failure to present may result in the paper being excluded from the conference proceedings.

Proceedings and Special Issue

Accepted and presented papers will be included in the conference proceedings and may be considered for publication in a special issue of a reputable journal. Details will be provided during the conference.

 

KeyNOTE

Know more about them

clients

Yassine Hadjadj-Aoual

University of Rennes, Inria, CNRS, IRISA, France

Yassine Hadjadj-Aoul is a Full Professor at the University of Rennes, France, and a member of the IRISA Laboratory and INRIA Ermine team. He holds a Ph.D. in Computer Science from the University of Versailles (2007) and completed postdoctoral research at Lille University and UCD, Ireland, as a Marie Curie Fellow. His research spans network automation, congestion control, network slicing, NFV, and QoS/QoE provisioning, with a focus on employing AI-driven strategies, including deep reinforcement learning and advanced heuristics, to optimize next-generation networks.

clients

Chaker Larabi

University of Poitiers, France

Chaker Larabi is a Full Professor at the University of Poitiers and leads the Image Analysis and Synthesis (ASALI) group within the XLIM Institute (UMR CNRS 7252). He received his Ph.D. in 2002 and his Habilitation (HDR) in 2021 from the same university, where he has been a faculty member since 2004. His research focuses on image and video processing, including quality assessment, compression, enhancement, and optimization—using both traditional and learning-based approaches—applied to various content types including immersive media. He has supervised over 20 Ph.D. students and authored more than 250 scientific contributions spanning journals, conferences, book chapters, patents, government reports, and ISO standards. A recipient of the Scientific Excellence Award from the French Ministry of Education, he has served as PI on several national and international projects and has played an active role in standardization bodies such as JPEG (chairing the Advanced Image Coding group for 8 years and the Test & Quality group until 2014), MPEG, and AOM. He currently serves as Senior Associate Editor for IEEE Transactions on Image Processing and has held editorial roles with IEEE TCSVT, Signal Processing: Image Communication, and JVCIR. He is an elected member of the IEEE SPS IVMSP and MMSP technical committees and the EURASIP Technical Area Committee on Visual Information Processing. He regularly contributes to major conferences with various roles, including General Chair of MMSP 2023, and leadership roles at ICIP and ICME.

 

clients

Zoubir ouaret

Biopharm, Algeria

Currently serving as CIO at Biopharm Group, a leading pharmaceutical company in Algeria, he holds a Ph.D. in Computer Science from the National School of Informatics (ESI). With over 20 years of experience in IT project management across sectors like Oil & Gas, transport, and manufacturing, he specializes in complex systems and IT architecture transformation. He is passionate about leveraging emerging technologies such as AI, Gen IA, 3D printing, and IoT in health and life sciences.

In today’s rapidly evolving business landscape, leveraging AI for Enterprise Architecture (EA) has become a strategic imperative. As organizations invest heavily in IT systems to drive transformation, a well-defined EA roadmap is essential to align technology initiatives with business objectives. This talk explores best practices, EA frameworks, and IT governance models. By integrating AI into EA, organizations can optimize IT governance, streamline processes, and effectively manage complex IT portfolios, ultimately enhancing operational efficiency and business alignment.

Committees

 

HONORARY CHAIRS

    Prof. Ahmed Hamou, Rector of the University. 

    Prof. Bachir Djebbar, Dean of the Faculty.

 

CHAIR

    Sarah Benziane, USTO MB University.

    CO-CHAIR

Karima Belmabrouk, USTO MB University

PROGRAM COMMITTEE

Abdelatif Hassini, University of Oran 2
Abdelatif Rahmoun, ESI SBA
Abdelfettah ZEGHOUDI, University of Laghouat
Abdelghani Djebbari, University of Tlemcen
Abdelkader Benyettou, University of Relizane

Abdelkrim Souahlia, University of Djelfa

Abdelmadjid Allali, University of Chlef

Abderrahmane Bendahmane, USTO MB

Ahmed Roumanie, ENSTTIC Oran

Amel Djebbar, ENSE Oran

Amine Dahane, University of Oran 1
Asmaa Boughrara, USTO MB
Asmaa Ourdighi, USTO MB

Badra Khellat Kihel, University of Oran 2
Bouabdellah Kechar, University of Oran 1
Boudjelal Meftah, University of Mascara

Dounia Yedjour, USTO MB

Fatiha Guerroudji, USTO MB
Hachem Slimani, Univesity of Bejaia
Hadria Fizazi, USTO MB
Hafid Haffaf, University of Oran 1

Hafidha Bouziane, USTO MB
Hamza Bousbaa, ENPO
Hayat Bendoukha, USTO MB
Hayat Yedjour, USTO MB

Hicham Reguieg, USTO MB
Karima Belmabrouk, USTO MB
Karima Kies, USTO MB
Khadidja Belbachir, USTO MB
Khaled Belkadi, USTO MB
Latifa Dekhici, USTO MB
Lila Medebber, USTO MB
Mahmoud Zennaki, USTO MB
Malika ALLALI,URERMS ADRAR

M'hamed Abidine, USTHB
Mohamed Dahmani, USTO MB

Mohammed Amine Chikh, University of Tlemcen
Mostefa Benhaliliba, USTO MB

Mourtada Benazouz, University of Tlemcen
Naciima Mellal, University of Oum Bouaghi
Rachida Ghoul Hadiby, USTO MB

Reda Adjoudj, University of Sidi Bel Abbes
Redouane Tlemsani, USTO MB
Saber Harzallah, University of Batna

Samir Benbekriti, ENSTTIC Oran
Sarah Benziane, USTO MB
Sarah Maroc, USTO MB
Sarah Nait Bahloul, USTO MB

Selma Khouri, ESI Alger
Souad Ougouti, USTO MB

Souad khellat, USTO MB

Soufiane Boukli Hacene, University of Sidi Bel Abbes

Yasmina Hernane, USTO MB

 

ORGANIZATION COMMITTEE

Amina Medjahed, USTO MB

Asmaa Boughrara, USTO MB
Asmaa Ourdighi, USTO MB

Bouchiba Guellta, USTO MB
Chemseddine Choucha, USTO MB
Imad Eddine Khiloun, USTO MB
Latifa Dekhici, USTO MB

Mohamed Khaldi, USTO MB
Redouane Tlemsani, USTO MB

Salim Alachaher, USTO MB

Sarah Benziane, USTO MB

Souad Ougouti, USTO MB

 

STEERING COMMITTEE

Asmaa Boughrara, USTO MB
Asmaa Ourdighi, USTO MB
Karima Belmabrouk, USTO MB
Latifa Dekhici, USTO MB
Redouane Tlemsani, USTO MB
Sarah Benziane, USTO MB
Souad Ougouti, USTO MB

 

PUBLICATION COMMITTEE

 

Redouane Tlemsani, USTO MB

Sarah Benziane, USTO MB

POSTER COMMITTEE

Asmaa Boughrara

Asmaa Ourdighi

Souad Ougouti

 

Program ideas 2025

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Day 1: Wednesday, June 11, 2025

8:00 – 9:00 AM | Registration - Auditorium
  • Participant check-in and badge and material distribution.
9:00 – 9:30 AM | Opening Ceremony
  • Welcome speech by the conference chair.
  • Address by the Rector of USTO-MB.
  • Introduction to the conference themes and objectives.
9:30 – 10:15 AM | Keynote 1 by Pr Yassine Hadjaj Aouel
  • "Graph Intelligence and Data Engineering for the Future of AI-Driven Networks"
10:15 – 10:45 AM | Poster Session, Coffee Break & Networking
10:45 – 11:15 AM | Session 1: Intelligent Decision Systems

  • Heterogeneous Graph Neural Networks for Product Recommendation on Transactional Retail Data,

  • Imad KHILOUN (USTO MB),
  • Karima Belmabrouk (USTO MB),
  • Latifa Dekhici

    (USTO MB)
      Comparative Analysis of Mortality Prediction Models at the University Hospital Center of Oran, Algeria,
      • Mohammed Nadjib Osmani (USTO-MB)
    Djamila Benhaddouche ( USTO-MB )
    • Nawal Sad Houari (USTO-MB)

     

    		•
11:15 – 12:00 PM | Keynote 2 by Dr Zoubir Ouaret
  • The Future of IT Governance: Leveraging AI for Next-Generation Enterprise Architecture.
12:00 – 1:30 PM | Lunch Break
2:30 – 3:15 PM | Keynote 3 by Pr Chaker Larabi - Defense room, 3rd floor, Computer Science Department
  • Enhancement and Evaluation of Visual content in the Era of AI.
    • 3:15 – 4:15 AM | Session 2: Artificial Intelligence and Machine Learning - Defense room, 4rd floor, Computer Science Department
    Deep Learning-Based White Blood Cell Segmentation, Soraya Nasser (essbo)
    An Empirical Study on the Effectiveness and Efficiency of Machine Learning Classifiers for Liver Disease Prediction,
  • Mohamed Amine Nemmich (Djillali Liabes University of Sidi Bel Abbes)*
  • Asmaa BOUDALI (Department of Electronics, Laboratory of coding and security of information, Sciences and Technology University of Oran Mohamed Boudiaf)
  • Noureddine BOUKHARI (Department of Mathematics, Djillali liabes University of Sidi Bel Abbes)
  • Fatima DEBBAT ( Department of Computer Science, Mustapha Stambouli University of Mascara, Mascara )
    • Enhancing Noisy Speech Recognition with CNN-LSTM Based Attention Mechanisms
  • Noussaiba Djeffal (Speech and Signal Processing Laboratory)*
  • Hamza Kheddar (University of MEDEA)
  • Djamel Addou (USTHB)
    • Machine Learning Algorithms for Enhancing MPPT in Clean Energy Systems,
  • ADDOU Asmaa (University of Science and Technology of Oran Mohammed BOUDIAF USTO-MB)*
  • Mazouz Nacera (USTO-MB)
  • 3:15 – 4:15 AM | Session 3: Artificial Intelligence and Machine Learning - Conference room, 3rd floor, Computer Science Department
    PGFCC-Based Transformer Model for Robust Noisy Speech Recognition,
  • Noussaiba Djeffal (Speech and Signal Processing Laboratory)
  • Djamel Addou ( USTHB )
  • Hamza Kheddar (University of MEDEA)
    • A Concise Overview Of Vehicle Detection Techniques
  • Mohamed Zentar (Université 8 Mai 1945 de Guelma)
    • Predicting Fire Forest in Algeria : A new Approach
    • Houda EL BOUHISSI (University of Bejaia, Faculty of Exact Sciences, LIMED Laboratory, 06000, Bejaia, Algeria)
    • Naima ILLOUL ( University of Bejaia, Faculty of Exact Sciences, LIMED Laboratory, 06000, Bejaia, Algeria )
      • A Comparative Study of Bio-Inspired Algorithms for Feature Selection in Biomedical Data
      • badra KHELLAT KIHEL (Mohamed BenAhmed Oran2 University Oran, Algeria)

  •  

4:00 – 4:30 AM | Coffee Break & Networking
4:30 – 5:15 AM | Session 4: AI Applications in Industry and Healthcare - Conference room, 4rd floor, Computer Science Department
Using Chatbot in E-commerce to Improve Profit : Artificial Intelligence in practice,
  • Houda EL BOUHISSI (University of Bejaia, Faculty of Exact Sciences, LIMED Laboratory, 06000, Bejaia, Algeria)
  • Essaid FERHAT ( University of Bejaia, Faculty of Exact Sciences, LIMED Laboratory, 06000, Bejaia )
  • Naima BOUAGAL ( University of Bejaia, Faculty of Exact Sciences, LIMED Laboratory, 06000, Bejaia )
    • Deep Learning-Based Classification of Knee Osteoarthritis Using Gaussian Noise Augmentation and Knowledge Distillation, Messaoudene Khadidja
    From Football to Facebook: A Tiki-Taka Metaheuristic for Detecting Fake Profiles with Random Forests
  • Nadir Mahammed (Ecole Supérieure en Informatique Sidi Bel Abbès)
  • Mahmoud Fahsi (Djillali Liabes University of Sidi Bel Abbes)
  • Souad Bennabi ( Hassiba Benbouali University of Chlef )
  • Imène Saidi (Ecole Superieure en Informatique, Sidi Bel Abbes)
     
4:30 – 5:30 AM | Session 4: Big Data & Advanced Analytics - Defense room, 3rd floor, Computer Science Department
  • Comparative Analysis of Deep Learning-Improved Traditional PET Image Reconstruction Methods
  • Asma Benyelles (Laboratory of biomedical imaging)
    • Enhanced Security in IIoT Networks with Attention-Driven LSTM and DNN Model
  • Afrah GUERIANI (university of Yahia Fares-Medea)
    • Unmanned Aerial Vehicles for Parcel Delivery: Challenges, Case Studies, and Future Perspective, Hichem Cheriet (USTO MB)
    Oral Cancer Detection Using Deep Learning: Feature Extraction and Activation Function Analysis
  • ROUABHI Sarra (Université des Sciences et de la Technologie d'Oran MOHAMED BOUDIAF USTO-MB)
  • HAKIKI Racha Ikram ( Université des Sciences et de la Technologie d'Oran MOHAMED BOUDIAF USTO-MB )
  • TLEMSANI Redouane ( Université des Sciences et de la Technologie d'Oran MOHAMED BOUDIAF USTO-MB )

Day 2: Thursday, June 12, 2025

8:30 – 9:00 AM | Welcome
9:00 – 10:15 AM | Online Presentation
Defense Room – Technical Session 6: AI & Optimization
  • An Enhanced Grey Wolf Optimizer – Rabab BOUSMAHA
  • Student Performance Prediction – Toufik BAZEMLAL
  • Lattice Constant Prediction in Cubic Perovskites – Nadjeh Zeghdoud
  • Classification of Date Fruit Using ML – Ikram Kourtiche
  • Plant Disease Classification with ECA-VGG19 – Khedidja Mekhilef
Conference Room– Technical Session 7: Computer Vision & Biomedical Imaging
  • YOLOv12 for Autonomous Driving – Chahira Kezzal
  • Rice Panicle Detection with Eigen-CAM – Meroua Belmir
  • Brain Tumor Detection with CNN & SVM – Zouhir Iourzikene
  • GAN-LSTM for ECG Anomaly Detection – Nacima Mellal
  • Deep Learning for Antimicrobial Molecules – Touati Chahira
10:15 – 10:45 AM | Coffee Break & Networking
10:45 – 12:15 PM | Parallel Online Presentation
Defense Room – Technical Session 8: Distributed Systems & Network Intelligence
  • VNE in Nested Virtualization via RL – Abderrahim Bouchair
  • Big Data Skyline for Service Selection – Walid Khames
  • Congestion Reduction in IoV – Belhadj Aissa
  • Transformer Monitoring with ML – Boudjella Fatima Zohra
Conference Room – Technical Session 9: Smart Health, Safety & Anomaly Detection
  • Drug Assignment with GCN – Yassine Bouhelassa
  • Water Quality Assessment with DBSCAN – Mohamed Imed Khelil
  • Open Circuit Fault Detection in Motors – Younes Tamissa
  • Hybrid Intrusion Detection in IoMT – Hadil Merzougui
  • CyanoHABs Prediction with Hybrid ML – Bounekhla Oumaima
12:15– 1:00 PM | Closing Ceremony
1:00 PM | Lunch & Networking

 

Contact Information For inquiries, please contact:

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