I2COMSAPP
International Conference on
Artificial Intelligence
and its Practical Applications
in the Age of Digital Transformation
Organized by the Faculty of Sciences and Techniques
Nouakchott University, Nouakchott, Mauritania
23-25 April 2024
Convention Center (Palais des Congrès), Nouakchott, Mauritania
Scope
Artificial Intelligence (AI) technologies hold immense promise for derdeveloping countries by offering innovative solutions to longstanding challenges. By leveraging AI in healthcare, education, economic development, infrastructure, and resource management, these countries can potentially leapfrog traditional development stages and improve the quality of life for their populations. However, it's essential to approach AI deployment with ethical considerations to ensure that the technology serves the best interests of these communities and thus to maximize the expected benefits.
In this context, the "I2COMSAPP" International Conference - Artificial Intelligence and its Applications in the Age of Digital Transformation" aims to provide an excellent opportunity to gather experts, researchers, practitioners, and innovators from various fields to explore the latest advancements, challenges, and practical implementations of artificial intelligence and machine learning (ML) technologies. Moreover, it aims to foster knowledge sharing, collaboration, and networking among professionals who are driving responsible and innovative use of AI and leveraging real-world applications for the betterment of society and industries.
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Topics
Topics of interest include, but are not limited to:
1. Digital Economy-Oriented Artificial Intelligence:
• Algorithmic Trading and Financial Forecasting
• Customer Behavior Analysis
• Fraud Detection and Prevention
• Personalized Marketing and Recommendation Systems
• Etc
2. Artificial Intelligence for Biometrics-based Applications:
• Facial Recognition
• Fingerprint and Iris Recognition
• Voice and Speech Recognition
• Biometric Security Systems
• Etc
3. Artificial Intelligence/Machine Learning Application in Healthcare:
• Disease Diagnosis and Predictive Modeling
• Remote Patient Monitoring
• Remote Diagnosis and Telemedicine
• Electronic Health Records Analysis
• Drug Discovery and Development
• Etc
4. Artificial Intelligence in Education:
• Personalized Learning Paths
• Online and Remote Learningenvironments
• Domain modeling and knowledge extraction
• Intelligent Tutoring Systems
• Automated Grading and Assessment
• Etc
5. Artificial Intelligence/Machine Learning in Intelligent Autonomous Systems:
• Autonomous Vehicles
• Robotics and Drone Applications
• Smart Cities and Infrastructure
• Disaster Management
• Industrial Automation and Manufacturing
• Etc
6. Artificial Intelligence in Oil & Gas/Mining Energy and related Industries:
• Predictive Maintenance for Equipment
• Reservoir Modeling and Optimization
• Environmental Monitoring and Compliance
• Supply Chain Management
• Etc
7. Artificial Intelligence in Agriculture:
• Precision Agriculture
• Crop Disease Detection and Management
• Agricultural Robotics and Automation
• Soil Health Analysis
• Etc
8. Artificial Intelligence for the Help of Disability:
• Assistive Technologies for the Visually Impaired
• Speech Recognition and Augmented Communication
• Mobility Aids and Navigation Systems
• Cognitive Support for Neurodiverse Individuals
• Etc
9. Generative AI:
• Image Generation and Style Transfer
• Text Generation and Natural Language Generation
• Poetry Generation
• Video Synthesis
• Etc
10. Artificial Intelligence in Networking and Cloud Computing:
• AI for 5G/6G
• AI for Cloud/Edge/Fog computing
• AI and Networking
• Etc
Submission
Click the icon to download the Call for Papers
Call for Papers
We are soliciting original contributions that align with the conference's objectives and topics, illustrating the latest research advancements and practical implementations of artificial intelligence (AI) and machine learning (ML) technologies, with a particular emphasis on their potential to drive positive change in developing countries.
Click the icon to download the Paper Template
Submission guidelines
• Contributions should not have been published elsewhere or be under consideration for publication.
• Contributions should be written in English and formatted using Springer style template.
• Contributions should be submitted in full length, between 8 and 15 pages, via the submission system.
• Contributions will be rigorously peer reviewed and checked against any kind of plagiarism.
About this Book Series
Publication
I2COMSAPP proceedings will be published by Springer (confirmed):
All accepted and presented papers will be included in the Conference Proceedings and published by Springer in its indexed LNNS book series (Scopus, Web of Science, SCImago, INSPEC, etc.); the full list of indexing and discovery services of this series can be found by cliking on the picture.
Selected outstanding papers will be invited to submit an extended version to some reputable journals.
NEW: Best Paper Award, attributed by
https://www.arsco.org/
Important Dates
Submission
Deadline
February 10, 2024
Authors
Notification
March 01, 2024
Registration
Deadline
April 13, 2024
Committees
Organizing Committee
Chair
SAID Mohamed
Dean of Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
Members
AHMED Sidi Mohamed
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
CHEIKH Ahmed Salem
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
CHEIKH Sidi
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
DIAGANA Yacouba
Vice Dean of Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania (Chair)
DIAKITE Mohamed Lamine
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
EL BENANY Mohamed Mahmoud
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
Med Val Mohamed ZIAD
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOHAMED SALECK Fatimetou
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
MOHAMEDEN Ahmed
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
MOHAMED SALECK Moustapha
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOHAMEDOU EL GHOTOB Cheikh Tourad
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
SALIHI Mohamed Lamine
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
SANHOURY Mohamed Abderrahmane
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
SID’AHMED Marième
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
SIDI EL MOCTAR Abderahman
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
SIDI El Veth
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
Exhibitions Committee
Chair
MOHAMEDOU EL GHOTOB Cheikh Tourad
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
Members
CHEIKH Sidi
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOHAMEDEN Ahmed
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
Workshops Committee
Chair
CHEIKH Sidi
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
Members
EL BENANY Med Mahmoud
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOHAMEDOU EL GHOTOB Cheikh Tourad
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOHAMEDEN Ahmed
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
Scientific Committee
Steering Board
MOHAMED ELHADJ Yahya (Chair)
DAHD, Arab Center for Research and Policy Studies, Qatar
NANNE Mohamedade Farouk
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
KOBAA Anis
College of Computer Science and Information Systems, Prince Sultan University, KSA
MEZIANE Farid
College of Science and Engineering, University of Derby, UK
DERICHE Mohamed
College of Engineering and Information Technology, Ajman university, UAE
KOUZOU Abdella
Ziane Achour University of Djelfa, Djelfa, Algeria
Members
ABDALI Abdelmounaïm
Control and Informatics for Intelligent Systems and Green Energy , Faculty of Sciences and Techniques, Cadi Ayyad University, Morocco
ABDELALI Ahmed
Qatar Computing Research Institute, Hamad Bin Khalifa University, Qatar
AL-MUBAID Hisham
Univerity of Houston-Clear Lake, USA
AL-SAREM Mohamed
Taibah University, KSA
ALZOLA Juan Ruiz
University of Las Palmas De Gran Canaria, Spain
AMMAR Adel
RIOTU Lab, Prince Sultan University, KSA
ANOUAL El Kah
Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, Morocco
AOURAGH Silhoussine
ENSIAS, Mohamed V university, Morocco
BEBBAH Mohamed
DAHD, Arab Center for Research and Policy Studies, Qatar
BELKASMI Mostafa
ENSIAS, Mohamed V University, Morocco
BELLAFKIH Mostafa
INPT-Rabat, Morocco
BEN LAHMAR EL Habib
Department of Mathematics and Computer Science, Faculty of Sciences Ben M’Sik, Hassan II University, Morocco
BEN SAID Ahmed
Qatar University, Qatar
BENJDIRA Bilel
RIOTU Lab, Prince Sultan University, KSA
BOULILA Wadii
College of Computer Science and Information Systems, Prince Sultan University, KSA
CHEIKH Sidi
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
CHERROUN Hadda
Université UATL Laghouat, Algeria
EJBALI Ridha
Faculty of Sciences of Gabès, University of Gabès, Tunisia
EL BENANY Mohamed Mahmoud
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
Scientific Committee (continuation)
EL BEQQALI Omar
Faculty of Sciences D.M, U.S.M.BA - FES, Morocco
EL OUAHABI Safâa
Polydisciplinary Faculty of Nador, Mohamed I University, Morocco
ELMILOUD Jaara
LARI, Mohamed I University, Morocco
JABBAR Rateb
KINDI Center for Computing Research, Qatar University, Qatar
JAKIMI Abdeslam
Faculty of Science and Technology Errachidia, Université Moulay Ismail, Morocco
FAQIHI Moulay Ahmed
ENSIAS, Mohamed V University, Morocco
GHOUTI Lahouari
College of Computer Science and Information Systems, Prince Sultan University, KSA
GUESSOUMI Ahmed
National Higher School of Artificial Intelligence, Algeria
JARRAR Mustafa
Computer Science, Birzeit University, Palestine
JEMINI Mohamed
LaTICe, University of Tunis, Tunisia
KARRAY Fakhreddine (Fakhri)
Mohamed bin Zayed university of Artificial Intelligence, UAE, University of Waterloo, UK
KISSI Mohamed
FST-Mohammedia, Morocco
LACHGAR Mohamed
National School of Applied Sciences, Chouaib Doukkali University, Morocco
LAKHOUAJA Abdelhak
LARI, Mohamed I University, Morocco
MAHMOUD Qusay
Faculty of Engineering and Applied Science, Ontario Tech University, Canada
MAZROUI Azzeddine
LARI, Mohamed I University, Morocco
MEZIANE Abdelouafi
LARI, Mohamed I University, Morocco
MNAOUER Adel Ben
Faculty of Engineering, Applied Science, and Technology, Canadian University Dubai, UAE
MOHAMEDEN Ahmed
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOHAMEDOU EL GHOTOB Cheikh Tourad
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOUHNI Naoual
Faculty of Sciences and Techniques Errachidia, University Moulay Ismail of Meknès, Morocco
OTHMAN Achraf
Mada – Assistive Technology Center, Qatar
OULD-ELHASSEN AOUEILEYENE Mohamed
Innov’COM Lab, SUPCOM, University of Carthage, Tunisia
OUTFAROUIN Ahmad
National School of Commerce and Management of Dakhla, Morocco
RACHDI Mustapha
University of Grenoble, France
RAMDANI Mohammed
FST-Mohammedia, Morocco
SALEH Hussain
Higher Institute of Earthquake Studies & Research (HIESR), Damascus University, Syria
SATORI Hassan
Department of Computer Science, Mohamed ben Abdellah University, Morocco
TIDHAF Belkacem
Mohamed I University, Morocco
YOUSFI Abdellah
Mohamed V University, Morocco
ZEROUAL Imad
Moulay Ismail University, Morocco
ZERROUKI Taha
Bouira University, Algeria
Scientific Committee (continuation)
ABBAS Fakhar
COMSATS University Islamabad, Pakistan
AISSAT Sid Ali
University of Djelfa, Algeria
BABAR Muhammad
Prince Sultan University (PSU), Riyadh, Saudi Arabia
BETROUNI Nacim
INSERM, University of Lille, Lille University Hospital, France
BOULAALAM Abdelhak
National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, Morocco
ELADOUI Mohammed
UMONS, Belgium
FARMAN Haleem
College of Engineering, Prince Sultan University, KSA
GUPTA Karan
SunPower Corporation
HABEEBVULLA Mohammed
Imam University, KSA
HADROUG Nadji
Djelfa University, Algeria
HARRAG Fouzi
College of Sciences, Ferhat Abbas University, Algeria
KHAN Nauman
University of Malaya, Malaysia
KHAN Zahid
Prince Sultan University, KSA
MAHMOUDI Saïd
UMONS - Faculté Polytechnique, Belgium
MALL Raghvendra
St. Jude Children's Research Hospital, Qatar
MOHAMED BABOU Hafedh
Ecole Supérieure Polytechnique (ESP), Mauritania
MUBARAK Hamdi
Qatar Computing Research Institute, Hamad Ben Khalifa University, Qatar
NADOUR Mohamed
Djelfa University, Algeria
OULD MOULAYE Cheikh
University of Manitoba, Canada
REQQASS Mohammed
Arab Centre for Resarch and Policy Studies, Qatar
ZAKARIA Khiati
Abu Dhabi University, UAE
Keynote Speakers
Prof. Mohamed JEMNI
Director of ICT
at The Arab League Educational,
Cultural and Scientific Organization

Title of Talk: Using AI, Metaverse and NFT in Education to promote Innovation and Entrepreneurship for Youth
Abstract : The Arab League Educational, Cultural and Scientific Organization (ALECSO) is a governmental organization, that is part of the Arab League. It is concerned with promoting and coordinating Arab joint programs and activities in the field of education, culture, and science. ALECSO considers that the use of Information and Communication Technologies (ICTs) to develop education in the Arab world is one of the most important priorities that requires special attention. Therefore, it attaches great importance to the programs and projects it implements. In reference to this, ALECSO has been implementing major pioneering projects in the field of artificial intelligence (AI) and its applications in education, with the primary focus of using this technology to help the Arab world face the major challenges in this field, to innovate educational practices and learning, and to accelerate progress towards achieving Goal 4 of the Sustainable Development Goals.
This presentation seeks to highlight ALECSO’s efforts in the fields of ICT, AI and digital transformation, especially in terms of localizing new technologies in the Arab world, keeping pace with the ever-accelerating technology developments, and working to incorporate them into educational curricula. The aim is to contribute to the creation of a new Arab generation having a strong command of new technologies, coupled with a high sense of initiative, innovation, and entrepreneurship. This would enable Arab youth to enter the new digital economy and take best advantage of the vast opportunities it offers. The presentation highlights, in particular, a qualitative project designed to familiarize Arab youth with cutting edge technologies, such as Metaverse and NFT, and thus prepare them to join the new digital economy, globalized digital markets, and the world of innovation and entrepreneurship.
Short Bio
Mohamed Jemni is a Professor of Computer Science and Educational Technologies at the University of Tunis, Tunisia. He is the Director of ICT at The Arab League Educational, Cultural and Scientific Organization ALECSO (www.alecso.org). He has been the General Director of the Computing Center El Khawarizmi, the Internet services provider for the sector of higher education Tunisia, from 2008 to 2013. He is a Senior member IEEE and co-editor of Springer Lecture Notes in educational Technology.
At ALECSO, he is currently leading several projects related to the promotion of effective use of ICT in education in the Arab world, namely, Artificial Intelligence, Smart Learning, OER, cloud computing and the strategic project of development of the “Unified Arab System for Blockchain-based Certificate Authentication”.
He produced two patents and published more than 300 papers in international journals, conferences and books. He produced many studies for international organizations such as UNESCO and ITU.
Prof. Jemni has been awarded the honorary distinction of Commander of the Order of the Tunisian Republic in May 2009 and the Order of Educational Merit in July 2007.
Prof. Jemni and his research Laboratory have received several awards, including the Silver medal of the International Fair of Inventions in Kuwait 2007, the UNESCO Prize 2008 for the e-learning curriculum they developed for visually impaired, President's Award for the integration of persons with disabilities 2009 and the "World Summit Award (WSA) – Mobile 2010" in the field of social inclusion. In April 2012, his laboratory LaTICE received the Google Student AWARD and he has received the Best Communication Paper of the Web For All 2012. Prof. Jemni received the International Telecommunication Union Award: “ICT Innovation application challenge” during the WSIS Forum in Geneva in May 2013, and the project “ALECSO APPS” that he is leading at ALECSO received the Mohammed bin Rashid Arabic Language Award (in the Technology topic) in May 2017.
His full CV is available at his web page : www.latice.rnu.tn/english/memb_jemni.htm
Prof. Farid MEZIANE
Head of the Data Science Research Centre,
College of Science and Engineering,
University of Derby, United Kingdom

Title of Talk: Exploiting Web Resources to Support Automatic Course Design
Abstract : With the rapid advances in E-learning systems, personalization and adaptability have now become important features in education technology. Furthermore, there are many countries that are struggling to attract teachers in some disciplines such as computer science. This talk will focus on the development of an architecture for A Personalized and Adaptable E-Learning System (APELS) that attempts to contribute to address some of these challenges.
APELS aims to provide a personalized and adaptable learning environment to users from the freely available resources on the Web. Hence allowing individuals and teaching institutions to take advantage of Artificial Intelligence and the availability of learning resources. Architecture makes use of ontology to model a specific learning subject and to extract the relevant learning resources from the Web based on a learner’s model (the learners background, needs and learning styles). The APELS system uses natural language processing techniques to evaluate the content extracted from relevant resources against a set of learning outcomes as defined by standard curricula to enable the appropriate learning of the subject. An application in the computer science field is used to illustrate the working mechanisms of the APELS system and its evaluation based on the ACM/IEEE computing curriculum. An experimental evaluation was conducted with domain experts to evaluate whether APELS can produce the right learning material that suits the learning needs of a learner. The results show that the produced content by APELS is of a good quality and satisfies the learning outcomes for teaching purposes.
Short Bio
Farid Meziane is a professor of Data Science, Head of the Data Science Research Centre, the University’s lead for the Data Science academic research theme and the chair of the college of Science and Engineering Research Committee at the University of Derby, UK. He obtained a PhD in Computer Science from the University of Salford, UK on his work on producing formal specification from Natural Language requirements. The work was considered at that time as pioneering in the area and paved the way for a large interest in automating the production of software specifications from informal requirements.
He has authored over 200 scientific papers and participated in many national and international research projects. He is the co-chair of the international conference on application of Natural Language to information systems; co-chair of the international conference on Information Science and Systems. He is serving in the programme committee of over ten international conferences. He is an associate editor for the data and knowledge engineering (Elsevier) journal and the managing editor of the International Journal of Information Technology and Web Engineering (IDEA publishing). He was awarded the Highly Commended Award from the Literati Club, 2001 for his paper on Intelligent Systems in Manufacturing: Current Development and Future Prospects. His research expertise includes Natural Language processing, semantic computing, data mining and big data and knowledge Engineering.
Prof. Anis KOUBAA
Aide to the President of Research Governance
Director of Research and Initiatives Center
Leader of the Robotics and Internet-of-Things Lab

Title of Talk: Generative AI's Surge: Is it the Countdown to Human Expertise's Expiry ?
Abstract : As the world rapidly adopts the wonders of Generative AI, it prompts a critical examination of the role and longevity of human expertise. This discussion ventures into the profound impact of Generative AI – sophisticated machines capable of solving complex problems, composing essays, designing innovative products, and even dispensing advice in fields like finance, law, and medicine. With these AI systems continually improving and sometimes surpassing human performance in certain areas, we are compelled to ask: Are we approaching a time when human expertise will become redundant? This talk explores the ascension of these technological powerhouses and their potential to redefine our concept of expertise. It invites the audience to reevaluate their views on creativity, competence, and the essence of expertise in the modern era. This topic transcends mere technological advancement; it is a deep dive into the future identity of humanity in a world dominated by automation. As we face this reality, the crucial question emerges: Will human skill and knowledge adapt, evolve, or gradually fade into obscurity ?
Short Bio
Anis Koubaa is a distinguished Full Professor in Computer Science, recognized for his pioneering work at the intersection of Generative AI and Large Language Models (LLMs). Serving as the Research and Initiatives Center Director at Prince Sultan University, Professor Koubaa spearheads groundbreaking research in AI, Unmanned Systems, and the Internet-of-Things. His contributions, such as the "Oyoon" surveillance system for Face Recognition and Vehicle License Plate Identification and the development of PSUGPT, a chatbot assistant for Prince Sultan University leveraging ChatGPT and LLMs, are testament to his innovation.
With over 20 edited books with Springer, his expertise in the field is undisputed. Recognized among the top 2% of scientists by Stanford University, he has received accolades, including the AI Leadership Award in 2022. A highly cited scholar, Professor Koubaa’s significant contributions include the ROSLink protocol and synergies between robots and cloud systems. His primary research interests encompass Generative AI, LLMs, Unmanned Aerial Systems, and the Deep Learning Robot Operating System. Anis Koubaa is also a Senior Fellow of the Higher Education Academy (HEA) of the UK.
Prof. Mohamed DERICHE
Artificial Intelligence Research Center (AIRC),
College of Engineering and Information Technology,
Ajman University, United Arab Emirates

Title of Talk: Evaluating Multimedia Content Quality in the Age of Generative AI.
Abstract : In an era marked by technological advancements, the automatic evaluation of multimedia content, spanning audio, images, and videos, has become integral to machine learning and computer vision-based multimedia systems. Despite the high correlation between current objective multimedia quality metrics and subjective scores, various challenges persist. These challenges encompass disparities in metric performance across datasets and distortions, handling multiple distortions, considerations of run-time performance, memory requirements, and application-specific metrics.
This presentation addresses the imperative of ensuring and enhancing multimedia content quality.  We explore the confluence of multimedia content evaluation, advancements in AI/ML, and the transformative capabilities of Generative Artificial Intelligence (AI). The discussion delves into methodologies and frameworks employed to assess the quality of multimedia content across diverse platforms and formats. We will start by first highlighting the contemporary challenges in evaluating multimedia content, considering factors such as visual aesthetics, perceptual quality, and user engagement. Emphasis will be placed on the dynamic nature of multimedia, where traditional evaluation methods may fall short in capturing the nuances of evolving content types. The talk then shifts focus to the promising role of Generative AI tools in overcoming these challenges. We provide an overview of the latest advancements in generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), elucidating their applicability in both generating and evaluating high-quality multimedia content. Lastly, the presentation concludes with a forward-looking perspective, addressing ethical considerations, potential pitfalls, and future directions in the symbiotic relationship between multimedia content evaluation and generative AI. The overarching goal is to furnish a roadmap for unlocking the potential of generative AI in the evaluation and enhancement of multimedia content, offering valuable insights for industry professionals, researchers, and enthusiasts.
Short Bio
Mohamed Deriche is currently a Professor of AI/ML at the College of Engineering and Information Technology and serving the Artificial Intelligence Research Center (AIRC), Ajman University, Ajman, United Arab Emirates. He received his B.Sc. degree in electrical engineering from the National Polytechnic School, Algeria, and his Ph.D. degree in signal processing from the University of Minnesota in 1994. He worked at Queensland University of Technology, Australia, before joining King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia, where he led the signal processing group. He has published more than 300 papers in multimedia signal and image processing. In 2021, he joined Ajman University to promote the AIRC centre and the new Masters in AI within the College of Eng and IT. He delivered numerous invited talks and chaired several conferences including GlobalSIP-MPSP, IEEE Gulf (GCC), Image Processing Tools and Applications, and TENCON (a Region 10 conference). He has supervised more than 40 M.Sc. and Ph.D. students and is the recipient of the IEEE Third Millennium Medal. He also received the Shauman Best Researcher Award, and both the Excellence in Research and Excellence in Teaching Awards while at KFUPM.
Prof. Muhammad
ABDUL-MAGEED
Canada Research Chair in Natural Language Processing and Machine Learning,
University of British Columbia & Mohamed bin Zayed University of Artificial Intelligence

Title of Talk: Pathways to the Future: Toward Arabic- and Afro-Centric Generative AI.
Abstract : Generative AI has recently emerged as a transformative force, revolutionizing the creation, consumption, and interpretation of content. Utilizing advanced machine learning methods, it possesses the remarkable ability to autonomously generate text, images, audio, and other media forms that are strikingly similar to human-generated content. This talk aims to explore the multifaceted landscape of generative AI, navigating the delicate balance between unlocking its potential and addressing the ethical dilemmas, regulatory challenges, and societal implications of its adoption. Through highlighting recent methodological advancements, I will demonstrate how generative AI can serve as a catalyst for innovation across essential sectors such as education, healthcare, business, and cultural preservation. In particular, I will provide insights into how generative AI can create more personalized learning environments, advance medical research and patient care, foster sustainable economic growth, and safeguard invaluable cultural identities. Additionally, I will outline strategic pathways for leveraging these technologies to achieve equitable outcomes, underscoring the need for a localized approach that addresses the specific requirements of Arabic- and Afro-centric communities. I will also advocate for collaborative policy frameworks that promote transparency, accountability, and inclusivity, ensuring generative AI contributes positively to global society.
Short Bio
Abdul-Mageed maintains an associate professor and a Canada research chair in natural language processing (NLP) and machine learning at the University of British Columbia (UBC), where he is a founding member of UBC's Center for Artificial Intelligence. His research program focuses on deep representation learning and natural language socio-pragmatics, with a goal to innovate more equitable, efficient, and `social’ machines for improved human health, safer social networking, and reduced information overload. He also has a special focus on Arabic NLP. Applications of Abdul-Mageed's work currently span a wide range of speech and language understanding and generation tasks. For example, his group works on language models, automatic speech processing, machine translation, and computational socio-pragmatics in social media.
Before UBC and MBZUAI, Abdul-Mageed held multiple positions including a research scientist at an undisclosed startup, a visiting scholar at the University of Pennsylvania (2016-2018), a visiting assistant professor at the School of Informatics and Computing at Indiana University (2015-2016), and a visiting scholar at Center for Computational Learning Systems at Columbia University (2010-2012). His research has been funded by Advanced Micro Devices Inc (AMD), Amazon, Google, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada, and Canadian Foundation for Innovation. Abdul-Mageed has three US patents.
Registrations
Conference Registration
For those needing entrance visa to Mauritania, they can take it upon arrival at Nouakchott airport. Please send a copy of your passport to conference organizers in case you did not already do it.
At least one author of each paper must be registered to I2ComsApp Conference. The registration details are indicated below :

For I2COMSAPP registration fee payment, please make the relevant amount transfer to the following account number :
From outside Mauritania
Bank name : Banque Islamique de Mauritanie (BIM)
Bank adress : Zone Universitaire N° : 0333 TVZ, Nouakchott, Mauritania
Bank holder name : Association Ibtikar
Compte RIB : 00015 00001 210 095093 01 88
IBAN : MR1300015 00001 210 095093 01 88
SWIFT : BIMMMRMRXXX
• From inside Mauritania
Transfer to the following Bankily or Sedad number:  44808416
National Authors
Student
FREE

Non-student
2000 MRU
Registration fees include:
• Local conference Proceeding + Handbag
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
International Authors
Student
FREE
+ Free Accomodation
for Communicating Students

Non-student
100 USD
Registration fees include:
• Local conference Proceeding + Handbag
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
Simple Attendees (Non-authors)
National
Student
1500 MRU
Non-student
3000 MRU

International
Student
100 USD
Non-student
200 USD
Registration fees include:
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
Workshops Registration
National
Student
500 MRU

Non-student
1000 MRU
Registration fees include:
• Local conference Proceeding + Handbag
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
International
Student
25 USD

Non-student
50 USD
Registration fees include:
• Local conference Proceeding + Handbag
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
Hands-on Workshops
Workshop 1
Unlocking Educational Potential:
A Practical Guide to Integrating Generative Artificial Intelligence in the classroom
This workshop will explore the applications of generative Artificial Intelligence in educational settings. The workshop will cover foundational concepts of AI, specific use cases in teaching and learning, and hands on activities that showcase the integration of AI technologies, from both student and instructor perspectives.
Presenters:
Prof. Cheikh Ould Moulaye (Senior Instructor) and Mariem Moulaye from Manitoba University, Canada.
Workshop 2
Generative AI in the Era of Large Language Models (LLMs)
The development of generative technologies and LLMs for diverse domains presents unique challenges, particularly in ensuring their reliability, safety, and ethical use. This workshop will discuss these challenges focusing on the critical need for trustworthy AI systems that respect privacy, prevent bias, and operate within acceptable boundaries. It will also cover current methods developed to meet these challenges and their wide scale of applications such as in education, finance, and health. This rich linguistic and cultural diversity in the Arab world and North Africa region offers a unique context for the application and development of these technologies. Thus, the workshop will discuss how generative AI can contribute to the region's technological advancement while considering the linguistic and cultural nuances.
Presenters:
Group of expert scientists and professionals from different Universities, MBZUAI and others.
Workshop 3
Presentation of the AlKhalil Platform for Arabic Language Processing
As part of the great interest shown by the information and communication technology industry in natural language processing, particularly for the Arabic language, the Oujda-NLP team carried out the AlKhalil Platform for Arabic Language Processing, with the valuable support of the Arab League Educational, Cultural and Scientific Organization (ALECSO). This platform aims to provide researchers interested in processing the Arabic language with a set of morphosyntactic analyzers developed for this language. From the AlKhalil Platform, researchers can download the code sources and APIs of these analyzers and can also test them.
Presenters:
Prof. Azzeddine Mazroui and Prof. Abdelhak Lakhouaja, from Oujda-NLP team, Mohammad Ist University, Morocco.
Workshop 4
From Machine Learning to Tiny Machine Learning with Edge Impulse
This workshop will guide participants through the journey of creating, training, and deploying machine learning models on edge devices using Edge Impulse. The focus will be on understanding the transition from traditional machine learning to the challenges and optimizations required for tiny machine learning on embedded systems.
Presenters:
Dr. Eng. Mohamed Ould-Elhassen Aoueileyine from Innov’COM Lab, SUPCOM, University of Carthage, Tunisia.
Workshop 5
Medical Image Segmentation
and Surgical Guidance
In this workshop, we will first present the basic concepts of medical image segmentation with artificial intelligence, discussing how it has revolutionized the field of surgical planning in recent years. We will describe some available tools to run advanced segmentation algorithms on medical images. In the second part of the workshop, we will describe the technologies available for image guided medical treatments, reviewing concepts such as electromagnetic and optical tracking systems, image registration and augmented reality. To better understand how these solutions can be tested using open-source software, we will show a live demo of neurosurgical navigation augmented reality smartphone apps on 3D printed phantoms.
Presenters:
Javier Pascau & Mónica García-Sevilla
Universidad Carlos III de Madrid, Madrid, Spain
Discussion Panels
Future of AI : Predictions from industry leaders
Ethics in AI : An open dialogue with experts
Exhibitions
Click the icon to download the Sponsorship Brochure
We invite businesses working in the field of Artificial Intelligence (AI) and machine learning (ML) to showcase their cutting-edge solutions and technologies at the "I2COMSAPP International Conference on Artificial Intelligence and its Applications in the Age of Digital Transformation".This event provides them with a unique platform to exhibit their AI-related products and services, connect with a diverse audience of experts, researchers, and practitioners, and explore potential collaborations and partnerships.
Your participation can help shape the future of AI and its real-world applicationsand contribute to the advancement of AI technologies that are driving positive change in various sectors.

For proposals, please send email to :
1) International Contact (from outside Mauritania): chair@i2comsapp.org
2) Local Contact (from inside Mauritania): cheikhtouradmohamedou@gmail.com
Accomodation
For those coming from abroad, the organization committee has discussed promotional accommodation fees for the three hotels shown below.
For more details, please contact conference organizers :
• Dr. Med Abderrahmane Sanhoury at : senhourry@yahoo.com
• Dr. Med Mahmoud El Benany at : medmhdbennannu@gmail.com
Sunset Hotel
Single room: 110 euros
Double room: 125 euros
Nouakchott Hotel
Single room: 109 euros
Double room: 136 euros
Fasq Hotel
Single room: 225 euros
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Collaborators
University of Derby
Data Science Research Centre, College of Science and Engineering, University of Derby, UK
LARI
Informatics Research Laboratory (LARI), Mohammed I University, Oujda, Morocco
Innovation Center
Innovation Center, Prince Sultan University, KSA
ENSIAS School
Information, Communication and Embedded Systems (ICES)Team at the ENSIAS School, Mohamed V University of Rabat, Morocco
Sponsors
I2COMSAPP International Conference
Artificial Intelligence
and its Applications
in the Age of Digital Transformation
23-25 April 2024
Organized by the
Faculty of Sciences and Techniques,
Nouakchott University, Nouakchott, Mauritania
For more information, please contact :
Tel: + 222 44 80 84 16
FST, Nouakchott University, Nouakchott, Mauritania     |     All rights reserved     |     Copyright © 2024