5th Artificial Intelligence Doctoral symposium

Under the patronage of the the Thematic Agency for Research in Science and Technology -ATRST-

USTHB, Algiers, Algeria, September 18-19, 2022


The access to the online version of the conference proceedings on SpringerLink is possible via the link below for the period from August 31 to September 30, 2023

Conference Proceedings


We are pleased to inform the participants of The 5th Artificial Intelligence Doctoral Symposium (AID 2022) that Springer has formally accepted to publish the proceedings in the series 'Communications in Computer and Information Science (CCIS)’.

Scope and Topics

The Laboratory of Research in Artificial Intelligence (LRIA) of the department of Artificial Intelligence and Data Science (IASD) at the University of Science and Technology Houari Boumediene (USTHB) organizes the 5th Artificial Intelligence Doctoral symposium (AID'2022) to be held on September 18-19, 2022 in Algiers, Algeria at USTHB.
The AID'2022 is directed towards all PhD students who work on topics related to Artificial Intelligence (AI). This event serves as a venue for participants to showcase their scientific research and get an opportunity to discuss it with experts from the area. A number of guest speakers will also be invited to give talks about recent advances in AI field.
The purpose of AID'2022 is not only to provide a forum for doctoral students to present their research work, developments, and applications in the area of Artificial Intelligence but also to promote research in AI and foster scientific exchange between researchers. The best papers will be selected and their authors will be given a chance to present them at the doctoral symposium.


In Algiers, Algeria at USTHB


September 18-19, 2022


Call For Papers


  • Artificial Vision and Virtual Reality
  • Image and Signal Processing
  • Object Detection and Recognition
  • Metaheuristics and Swarm Intelligence
  • Agents and Multi-agent Systems
  • Machine Learning and Reinforcement Learning
  • Deep learning and Transfer learning
  • Deep learning and Transfer learning
  • Data Mining, Graph Mining and Web Mining
  • Knowledge Representation and Reasoning
  • Social Network Mining
  • Ontologies and Semantic Web
  • Information Filtering, Retrieval and Foraging
  • Natural Language Processing
  • Speech Processing and Recognition
  • Recommendation Systems
  • Data Warehouse and Big Data
  • IoT and Cloud Computing
  • GPU/GPGPU Computing
  • Quantum Computing
  • Distributed Intelligence Systems
  • Problem Solving and Constraint Satisfaction
  • Metaheuristics and Swarm Intelligence
  • Agents and Multi-agent Systems
  • Bioinformatics and Visualization
  • Reasoning under Uncertainty and Fuzzy Logic
  • Game Theory
  • Robotics and Industry 4.0


  • Health Domain
  • Industrial Application
  • Covid-19
  • Climate Change
  • Crisis Management
  • Economy and Finance
  • Business Intelligence
  • e-Learning
  • e-Commerce
  • Combinatorial Problems
  • Agriculture 4.0
  • Soil Mapping
  • Security, Privacy, and Trust
  • Timetabling and Scheduling
  • Traffic and transportation systems
  • Transportation problems


General Chair

  • Prof. Habiba DRIAS, LRIA, USTHB, Algeria

Steering Committee

  • Prof. Saliha AOUAT, LRIA, USTHB, Algeria
  • Prof. Hamid AZZOUNE, LRIA, USTHB, Algeria
  • Prof. Dalila BOUGHACI, LRIA, USTHB, Algeria
  • Prof. Habiba DRIAS, LRIA, USTHB, Algeria
  • Prof. Samir KECHID, LRIA, USTHB, Algeria
  • Prof. Feryel SOUAMI, LRIA, USTHB, Algeria

Program Committee Chair

  • Dr. Ilyes KHENNAK, LRIA, USTHB, Algeria

Program Committee Co-Chair

  • Dr. Lyes ABADA, LRIA, USTHB, Algeria

Program Committee

  • Dr. Lyes ABADA
  • Prof. Nouara ACHOUR
  • Prof. Saliha AOUAT
  • Prof. Hamid AZZOUNE
  • Dr. Sadjia BABA-ALI
  • Prof. Nadia BAHA-TOUZÈNE
  • Prof. Salem BENFERHAT
  • Dr. Lamia BERKANI
  • Prof. Dalila BOUGHACI
  • Dr. Saida Ishak BOUSHAKI
  • Dr. Lokmane CHEBOUBA
  • Dr. Djamila DAHMANI
  • Dr. Yassine DRIAS
  • Prof. Fatima GUEDJATI
  • Prof. Allel HADJ-ALI
  • Dr. Drifa HADJIDJ
  • Dr. Kamel Eddine HERAGUEMI
  • Prof. Walid-Khaled HIDOUCI
  • Dr. Célia HIRECHE
  • Prof. Nadjet KAMEL
  • Prof. Samir KECHID
  • Dr. Meriem KHELIFA
  • Prof. Faiza KHELLAF
  • Dr. Ilyes KHENNAK
  • Dr. Nacéra LAICHE
  • Prof. Slimane LARABI
  • Prof. Mimoun MALKI
  • Dr. Imane MESSAOUDI
  • Dr. Hadjer MOULAI
  • Dr. Messaouda NEKKAA
  • Dr. Abdellah REZOUG
  • Prof. Lakhdar SAIS
  • Prof. Amina SERIR
  • Dr. Zahia TAMEN
  • Dr. Hanane TEBBI
  • Prof. Farouk YALAOUI

Organizing Committee (PhD Students, USTHB)

  • Mr. Mohamed AIT MEHDI
  • Ms. Lydia Sonia BENDIMERAD
  • Ms. Naila Aziza HOUACINE
  • Ms. Selma KALI-ALI
  • Ms. Naoual MEBTOUCHE

Paper Submission

Prospective authors are invited to submit their papers in English, not exceeding ten (10) pages using the LNCS (Lecture Notes in Computer Science) formatting guidelines. All submissions will be reviewed by at least two program committee members and accepted papers will be published in the AID'2022 proceedings. The best presented papers will be selected to be published as chapters in a book entitled "Advances in Artificial Intelligence Developments and Applications" edited by Springer. Papers must be submitted through the EasyChair submission system in PDF format at here.


We are pleased to inform the participants of The 5th Artificial Intelligence Doctoral Symposium (AID 2022) that Springer has formally accepted to publish the proceedings in the series 'Communications in Computer and Information Science (CCIS)’.

Keynote Speakers

Prof. Houari SAHRAOUI

Prof. Houari SAHRAOUI

Prof. Houari SAHRAOUI, Department of computer science and operations research, University of Montréal Canada


Learning software artefacts from examples using genetic programming


Over the past decades, the software engineering research community has made significant advances in automating software development and maintenance tasks. This was achieved thanks to the accumulation of knowledge produced by many clusters of researchers working on general-purpose artefacts such as automatic generation of test data, refactoring, program repair or feature location. However, automating domain-specific tasks did not benefit from the same critical masses of researchers. This is particularly the case of manipulating models described with domain-specific languages or domain-specific code libraries (APIs) usage. In this presentation, we discuss the use of genetic programming to transform data or examples of a specific domain into knowledge to automate the development and maintenance tasks of that domain.


Houari Sahraoui is a professor at the software engineering lab GEODES of the department of computer science and operations research, Université de Montréal. He holds a Computer Engineering Diploma from the INI, the National Institute of computer science (1990), Algiers, and a Ph.D. in Computer Science from Pierre & Marie Curie University - LIP6 (1995), with a specialization in AI. His research interests include automated software engineering (SE) and the application of AI techniques to SE. He has published around 200 papers in conferences, workshops, books, and journals. He has served as a program committee member in several IEEE and ACM conferences, as a member of the editorial boards of four journals, and as an organization member of many conferences and workshops. He was the general chair and program chair of many conferences such as IEEE/ACM International Conference on Automated Software Engineering (ASE), ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS), and IEEE Working Conference on Software Visualization (VISSOFT).

Prof. Allel HADJALI

Prof. Houari SAHRAOUI

Prof. Allel HADJALI, ENSMA Poitiers France


On Intelligent Combinatorial Decision Making


Combinatorial decision, Skyline model, Group Pareto dominance, Relaxation, Fuzzy preferences


Short Description: In many real-life applications (e.g., groups recommendation, investments selection, detection of fire/crime-most dangerous places, expert teams selection, etc.), users do not only require analyzing individual objects but also groups of objects to make decisions. Skyline paradigm is one of the most popular and useful approach for multi-criteria data analysis and decision-making. It aims at identifying a set of skyline points that are not dominated in Pareto sense by any other point in a dataset. In the recent two decades, the skyline definition has been extended with different variants and the skyline computation problem for finding the skyline of a given dataset has been studied extensively. One important problem that has been surprisingly neglected to the large extent is the need to find groups of points that are not dominated by others as many real-world applications may require the selection of a group of points. In this talk, we focus on extending the skyline model to the combinatorial context to deal with group skyline set, i.e., groups that are not dominated by any other group in a given dataset. We present the recent developments on group skyline both from the semantic and computational sides. We also tackle explicitly the important issue related to controlling the size of group skyline. Some open challenges on the topic are discussed as well.


Allel HADJALI is Full Professor in Computer Science at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA), Poitiers, France. He is a member of the Data & Model Engineering research team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS/ISEA-ENSMA). His main area of research falls within Data Science field, and more specifically, the research topics related to Data Exploitation & Analysis (sensor data, semantic data, incomplete data), Knowledge Extraction and Recommendation. His current research interests include Soft Computing and Computational Intelligence in Databases (Cooperative/Intelligent Databases, Data fusion/integration, Data quality, Data Uncertainty, Data Privacy and Trust), Machine Learning-based Recommendation, Approximate/Uncertain Reasoning with applications to Artificial Intelligence and Information Systems. His recent works were published in well-known journals (e.g., Applied Soft Computing, Knowledge and Information Systems, Fuzzy Sets and Systems, International Journal of Intelligent Systems, Journal of Intelligent Information Systems and Annals of Mathematics and Artificial Intelligence). He also published several papers in International Conferences (ESWC, ICTAI, Fuzz-IEEE, DEXA, FQAS, SUM, ISMIS, IPMU, CoopIS, IFSA, ACM SAC, ICWS, SCC, ER, VLDB and EDBT (demo papers)). He co-organized several special sessions on "Advances in Soft Computing Applied to Databases and Information Systems" in conjunction with EUSFLAT (2009 and 2011) Conference, “Advances in Bipolarity in Databases” in conjunction with EUSFLAT (2013), “Advances in Data Management in the Context of Incomplete Databases” in conjunction with IFSA (2015) Conference, “Uncertainty in Cloud Computing” in conjunction with DEXA (2017) . He co-organized also several special issues in well-known journals, among them, "Flexible Queries in Information Systems" in Journal of Intelligent Information Systems (2009), "On Advances in Soft Computing Applied to Databases and Information Systems" in Fuzzy Sets and Systems Journal (2011), “Post LFA 2015 Conference” in Fuzzy Sets and Systems Journal (2017), “Uncertain Cloud” in International Journal of Approximate Reasoning (2019). The complete list of his publications is available in http://www.lias-lab.fr/members/allelhadjali.

Prof. Farouk YALAOUI

Prof. Houari SAHRAOUI

Prof. Farouk YALAOUI, University of Troyes, France


Decision-Making Support of Industries in the world of Data and Transitions


Industry 4.0, Real-time, Online Scheduling, Data, Decision-making.


In the era of steady and rapid transitions of technology and society interconnectivity, industries are in an environment of continuing transformations. This profound and constant process of transformation is multifaceted: the production and the manufacturing process, the product creation, the market emerging, the client’s interaction and data management. This work focuses on the two fields of industries which are textile and healthcare. A review will be done on recent trends of the technologies transition, coupling with the transition in client’s consumption behaviors. The different visions and strategies in governmental levels around the worlds will be also stated. Facing the imminent changes, one can highlight the impact on the large and complex flow of information’s. We propose in this work three large approach which impact decision from strategical level to operational level. The work tends to pave the understanding on the impact of data to global vision to real-time decision. Second, we propose three approaches for industry of the future. The first one is the novel Network of Supply Systems (NSS) where the classic supply chain become supply system that considers of the non-linear elements. The NSS takes the interconnectivities as evidence to provide a new point of view of the position of each industry in a larger and connected network of value chains. The second one the Process – Product – Market (PPM) approach where the three elements are active and takes part in the decision in the circular way. The third approach is on the data strategy where we identify the value and the diversity of data. With the three mentioned approaches, we come up with the real time decision in an environment that we have a complete information, a partial information, or no information. That leads to the fields of online and semionline scheduling. We introduce the notation of valuable and valueless information in production, that could be helpful in the case of identifying non-adding value activities in the value chains. In addition, to support the PPM approach, we present in this work our recent research on the smart pricing problem. We close the work with a roadmap to Industries in the world of Data and Transitions.


Professor Farouk YALAOUI is currently a full Professor at Troyes University of Technology (UTT), France, where he is the Senior Vice President for Research of UTT. He is also scientific director of Industrial Chair “Connected Innovation” of UTT since 201 https://chaire-connected-innovation.fr/ and https://www.faroukyalaoui.com/ https://orcid.org/0000-0001-7360-2932. He is the former director of LOSI Lab. (Logistiques et Optimisation des systèmes Industriels) of UTT and and former director of Services and Industries of The future of Troyes Institute (ISIFT). He obtained his Engineering degree in Industrial Engineering from the Polytechnics School of Algiers (Algeria) in 1995, his master’s degree in Industrial System Engineering from Polytechnics Institute of Lorraine (Nancy, France) in 1997, his Ph.D. degree in Production Management from the Troyes University of Technology (UTT) in 2000 and followed by a Habilitation à diriger les recherches (Dr. Hab) from Compiegne University of Technology (UTC) in 2006. His research topic focuses on the scheduling problems, system design, operations research, modeling, analysis and optimization of logistic and production systems, reliability and maintenance optimization and on optimization problems in general. He supervised or co-supervised 28 Ph.D thesis and more than 82 projects since 2001. He is founder and partner of OPTA LP SAS company since 2013 http://www.opta-lp.com/fr/

He is author or co-author of a pattern and more than 500 contributions, publications or communications with 1 patent; 3 books (Ellipses, Hermes-Lavoisier, Willey and Sons), 6 edited books (Springer), 16 book chapters and 95 papers in journals such as IIE Transactions, European Journal of Operational research, International Journal of Production Economics, IEEE Transactions on Reliability, Reliability Engineering and System Safety, Computer & Operations research, Journal of Intelligent Manufacturing. He also published more than 310 papers in conference proceedings. He had presented 51 invited speeches (seminaries or conferences plenary sessions). He was invited by different universities (11) more than 20 times. He is member of editor board of the book series "Automation and Control - Industrial Engineering", ISTE Wiley, London, since 2014. He served or serves as editor to 20 International journal Boards: Engineering Applications of Artificial Intelligence (EAAI, Elsevier, IF. 6,212, 2022), The Scientific World Journal as part of the journal's Operations Research subject area (TSWJ), International journal of Supply and Operations Management (IJSOM), British Journal of Mathematics &computer Science (BJMCS), Journal of Risk Analysis and Crises Response (JRACR), Journal., American Journal of Operations Research (AJOR), Industrial Engineering and Management (IEM), Advances in Computer Science and Engineering (ACSE), Modeling and Simulation in Engineering (MSE), Advances in Artificial Intelligence (AAI), International Journal of Applied Logistics (IJAL). He served as guest editor for Journal special issue (Journal of Multiple Valued Logic and Soft Computing, Journal of Intelligent Manufacturing). He is reviewer for more than 36 international journals.

He is founder and member of steering committee of IWOLIA (since 2010) SHEIC (since 2019) and member IESM-MOSIM Steering Committee, since 2019, Membre IFAC/MIM Steering Committee, since 2021. He is advisory Committees/Organizing Committees members of 36 conferences. He is also member of several international conference committees (about 154 conferences) as (INCOM2021, IFAC WC 2020, IEEE ICALT’2019, INCOM 2018, ICINCO 2017, ACIIDS 2017, IEEE SSCI 2016, MIM 2016, INCOM2015, IESM 2015, MIC’2015, SSEMO-WCCI 2014, IEEE-CIPLS 2014, FLINS’14, IEEE-CIPLS 2013, CIIA’2013, EMO13, MIM 2013, CoDIT 2013, ICSENT’2012, IEEM 2012,), member more than 25 organization committees of conferences and general Chair of IFAC MIM 2016. He organized and or Chair more than 115 tracks or sessions in conference.

He is Vice Chair of IFAC (International federation of Automation and Control) TC group 5.2. He is Chair of a Working Group on multiobjective optimization. He is member of IFAC TC group 5.1. He is member of French Universities National Council (CNU) field Automation, Control, Industrial Engineering (section 61). http://losi.utt.fr/fr/membres/yalaoui.html .. He is member and expert for French ANR agency, and for different agency such French AERES Agency, Natural Sciences and Engineering Research Council of Canada (NSERC), Algerian PNR program.

He is member of Algerian Academy of Science and Technology (AAST) since 2015. He obtained of Annual Award 20117 of the IFAC French National Member Organization (NMO).

Important Dates

  • Deadline for paper submission: August 1, 2022 August 11, 2022 (Extended, Firm Deadline)
  • Notification of acceptance: August 25, 2022
  • Camera-ready paper due: September 1, 2022
  • Conference dates: September 18-19, 2022


Registration fees

Registration packages: (All registration packages include the conference bag, and give access to all conference sessions, lunches and coffee breaks).
Please choose your package:
Full registration 15,000 DA (Including 2-night accomodation)
12,000 DA (Including 1-night accomodation)
Regular registration 8,000 DA (Without accommodation)
Industrials and others 5,000 DA (Without accommodation)


Contact Us


BP 32 Bab Ezzouar, 16111 - Algiers, Algeria


For any information or inquiries related to AID'2022, please contact us at: aid2022@usthb.dz / aid2022.usthb@gmail.com