I2COMSAPP
International Conference on
Artificial Intelligence
and its Practical Applications
in the Age of Digital Transformation
2nd Edition
Organized by the Faculty of Sciences and Techniques
Nouakchott University, Nouakchott, Mauritania
20-22 October 2025
Nouakchott, Mauritania
Visitors
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Scope
Artificial Intelligence (AI) technologies offer transformative potential for developing countries, presenting innovative solutions to longstanding challenges across healthcare, education, economic growth, infrastructure, and sustainable resource management.
By adopting AI-driven approaches, these countries have the opportunity to bypass traditional development stages, accelerating socio-economic progress and significantly enhancing the quality of life.
In alignment with this vision, the International Conference series on Artificial Intelligence and its Applications in the Age of Digital Transformation "I2COMSAPP" serves as an essential platform that convenes global experts, researchers, practitioners, policymakers, and innovators.
The conference promotes the exploration of cutting-edge advancements, identifies key challenges, and showcases practical implementations of AI and Machine Learning (ML) technologies.
Furthermore, it facilitates knowledge exchange, collaboration, and networking among stakeholders committed to responsible and impactful AI innovations that advance societal and industrial progress.
Building upon the academic excellence, substantial social impact, and successful publication outcomes in Springer’s Scopus-indexed Lecture Notes in Networks and Systems (LNNS) series achieved by our inaugural conference, the 2nd edition of I2COMSAPP invites international contributions to delve deeper into recent advances, practical applications, and future trends of AI and ML.
Special emphasis will be placed on the transformative potential of these technologies in fostering sustainable development and improving socio-economic outcomes in developing regions.
Topics
Topics of interest include, but are not limited to:
1. AI for Digital Economy and Finance:
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2. AI for Biometrics and Cybersecurity:
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3. AI for Healthcare and Well-being:
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4. AI for Education and Learning:
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5. AI for Autonomous Systems and Robotics:
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6. AI for Energy and Resource Management:
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7. AI for Agriculture and Food Security:
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8. AI for Culture and Accessibility:
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9. Generative AI and Creative Technologies:
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10. AI for Networking, Cloud, and Emerging Tech:
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11. Other Relevant Topics in AI:
Important Dates
Submission
Deadline
May 31, 2025
Authors
Notification
August 15, 2025
Camera-ready
Deadline
August 31, 2025
Keynote Speakers
Prof. Habib Zaidi
Head of PET Instrumentation & Neuroimaging Laboratory at Geneva University Hospital,
and Professor at the medical school of Geneva University, Switzerland.

Title of Talk: Adventures in deep learning-powered Multimodality Medical Imaging Wonderland
Abstract : Positron emission tomography (PET), x-ray computed tomography (CT), magnetic resonance imaging (MRI), and their combinations (PET/CT and PET/MRI) provide powerful multimodality techniques for in vivo imaging. This talk presents the fundamental principles of multimodality imaging and reviews the major applications of artificial intelligence (AI), in particular deep learning approaches, in multimodality medical image analysis. It will inform the audience about a series of advanced developments recently carried out at the PET instrumentation & Neuroimaging Lab of Geneva University Hospital and other active research groups. To this end, the applications of deep learning in five generic fields of multimodality medical imaging, including imaging instrumentation design, image denoising (low-dose imaging), image reconstruction, quantification and segmentation, radiation dosimetry, and computer-aided diagnosis and outcome prediction, are discussed. Deep learning algorithms have been widely utilized in various medical image analysis problems owing to the promising results achieved in image reconstruction, segmentation, regression, denoising (low-dose scanning), and radiomics analysis. This talk reflects the tremendous increase in interest in quantitative molecular imaging using deep learning techniques in the past decade to improve image quality and to obtain quantitatively accurate data from dedicated standalone (CT, MRI, SPECT, PET) and combined PET/CT and PET/MRI imaging systems. The deployment of DL-powered methods when exposed to a different test dataset requires ensuring that the developed model has sufficient generalizability. This is an important part of quality control measures prior to implementation in the clinic. Novel deep learning techniques are revolutionizing clinical practice and are now offering unique capabilities to the clinical medical imaging community. Future opportunities and the challenges facing the adoption of deep learning approaches and their role in molecular imaging research are also addressed.
Short Bio
Habib Zaidi is Chief physicist and head of the PET Instrumentation & Neuroimaging Laboratory at Geneva University Hospital and a full Professor at the medical school of the University of Geneva. He is also a Professor at the University of Groningen (Netherlands), the University of Southern Denmark (Denmark), and Óbuda University (Hungary). His research is supported by the Swiss National Foundation, the European Commission, private foundations, and industry (Total 11 M+ US$) and centres on hybrid imaging instrumentation (PET/CT and PET/MRI), computational modelling and radiation dosimetry, and deep learning. He was a guest editor for 14 special issues of peer-reviewed journals and serves as founding Editor-in-Chief (scientific) of the British Journal of Radiology (BJR)|Open, Deputy Editor for Medical Physics, and is on the editorial board of leading journals in medical physics and medical imaging. He has been elevated to the grade of fellow of the IEEE, AIMBE, AAPM, IOMP, AAIA, and the BIR. His academic accomplishments in the area of quantitative PET imaging and artificial intelligence-powered multimodality imaging have been well recognized by his peers since he is a recipient of many awards and distinctions among which the prestigious (100’000$) 2010 Kuwait Prize of Applied Sciences (known as the Middle Eastern Nobel Prize) and the 2023 John Mallard Award given by the International Organization for Medical Physics for innovative developments of high scientific quality. Prof. Zaidi has been an invited speaker of over 250 keynote lectures and talks at an international level, has authored over 455+ peer-reviewed articles (h-index=81, more than 24400 citations) in prominent journals, and is the editor of four textbooks.
Prof. Eyad Elyan
Founder and head of the Interactive Machine Vision research group,
School of Computing, Robert Gordon University, UK.

Title of Talk: Practical and Affordable AI: Strategies and Practical Lessons for Sustainable Digital Transformation in Developing Regions
Abstract : Artificial intelligence and machine learning have transformed industries worldwide. Despite this unprecedented progress, developing regions often lag in AI adoption due to infrastructure limitations and resource constraints. This presentation addresses the need for practical AI implementation strategies tailored to emerging economies. The focus will be on fostering data-driven, AI-powered solutions that cross disciplinary boundaries to enhance quality of life. The talk will open with an overview of AI and the current generative AI landscape and trends. Then, key components for successful digital transformation will be outlined. Following this, real-world case studies from multiple sectors will be presented with emphasis on the Oil and Gas Industry. Through these, attendees will gain both theoretical insights and practical tips for initiating and implementing AI-driven solutions with relatively limited resources. The presentation concludes with an overview of challenges, opportunities, and a comprehensive roadmap for digital transformation across various domains, providing the audience with practical lessons to start and manage the AI journey and drive innovation.
Short Bio
Eyad is a renowned researcher in Machine Learning and AI and leads Robert Gordon University’s Machine Vision research Group. He has pioneered the development of AI-driven solutions across different domains and helped businesses to intelligently transform existing practices. Following his completion of a PhD in 3D modelling and human face recognition at the University of Bradford, he joined Robert Gordon University School of Computing as a lecturer in 2009. He then progressed to be a Senior Lecturer in 2015 and a Reader in 2018. In 2020, he was promoted to full Professor in AI. His research is focused on applied computer vision and machine learning. He collaborates extensively with various industries across the UK, actively contributing to the creation of state-of-the-art AI solutions to optimise and digitally transform their operations. Notable examples of his work are his pioneering contribution to the development of an end-to-end solution for processing and analysing Piping and Instrumentation Diagrams (P&ID) between 2017 and 2019. By leveraging advanced technologies for the automatic analysis and processing of complex documents and P&ID diagrams, the project successfully transformed complex and unstructured diagrams into actionable insights , as well as his work on developing AI-driven solutions for remote inspections of Oil and Gas Assets.
Elyan is a Fellow member of the British Higher Education Academy and serves as the Scotland Data Lab Innovation Centre Ambassador. He plays a lead organizing role in various national and prestigious international events, reviewing for many leading international journals in the area of artificial intelligence, computer vision, and machine learning, and is a reviewer for research councils such as EPSRC. He has given numerous talks in the area of Machine Learning, AI, and Big Data Analytics, supervised seven PhD students to successful completion, and examined more than fourteen PhD students at different UK universities.
With a track record encompassing over 100 publications in AI and Machine Learning, supervision of 12 successful PhD completions, and leadership on more than 30 innovative industry projects, he was recognised with the UK Knowledge Transfer Partnership Academic of the Year award in 2023 , an award that is given to individuals for their exceptional skills and commitment in knowledge translation, leadership, team building, and mentoring. In 2024, he was shortlisted as a finalist for the Scottish Knowledge Exchange Award for his contribution to knowledge exchange and innovation in Scotland.
Dr. Imed Zitouni
Director of Engineering - GenAI, ML & Search, Google, USA.

Title of Talk: Coming Soon....
Abstract : Coming Soon
Short Bio

Experience:

Committees
Organizing Committee
DIAGANA Yacouba(Chair)
Dean of Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
CHEIKH Sidi(Vice-Chair)
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
Members
HIMEIDY Mohamed
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
AHMED Sidi Mohamed
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
CHEIKH Ahmed Salem
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
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
MOHAMED SALECK Fatimetou
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
MOHAMEDEN Ahmed
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
Med Val Mohamed ZIAD
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
SID’AHMED Marième
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
SIDI El Veth
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
ZIAD Med Val Mohamed
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
Exhibitions Committee
CHEIKH Sidi(Coordinator)
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
MOHAMEDOU EL GHOTOB Cheikh Tourad
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
Sidi El Veth
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
ABDUL-MAGEED Muhammad
University of British Columbia (Canada)& Mohamed bin Zayed University of Artificial Intelligence (UAE)
DERICHE Mohamed
College of Engineering and Information Technology, Ajman university, UAE
JEMNI Mohamed
LaTICe, University of Tunis, Director of ICT (ALECSO), Tunisia
KOBAA Anis
College of Computer Science and Information Systems, Prince Sultan University, KSA
KOUZOU Abdella
Ziane Achour University of Djelfa, Djelfa, Algeria
MEZIANE Farid
College of Science and Engineering, University of Derby, UK
NANNE Mohamedade Farouk
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
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
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
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
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
ELHAYEKAhmed A
University of Prince Mugrin, Madinah, Kingdom of Saudi Arabia (KSA)
FARMAN Haleem
College of Engineering, Prince Sultan University, KSA
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
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
BOUGHORBEL Sabri
Qatar Computing Research Institute (QCRI), HBKU, Qatar
ZAKARIA Khiati
Abu Dhabi University, UAE
BOUALLEGUE Ridha
Innov'COM, Tunis
YAZIDI Anis
HAUGERUD Harek
Oslo Metro,
BOUAHADDA Hanen
Innov'COM, Tunis
HIZEM Moez
Innov'COM, Tunis
ROMDHANI Imed
The University of Edinburgh,
El OMRI Abdelfateh
EL OMRI Adel
DHAOUADI Mondher
BEN ROMDHANE Karim
Innov'COM, Tunis
BOUSBIA Leila
Innov'COM, Tunis
PALUMBO Fabrizio
Workshops Committee
CHEIKH Sidi(Coordinator)
Faculty of Sciences and Techniques, Nouakchott University, Nouakchott, Mauritania
EL BENANY Med Mahmoud
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
Ahmed Mohameden
Faculty of Sciences and Techniques, Nouakchott University, Mauritania
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'25 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 Scopus-indexed Lecture Notes in Networks and Systems (LNNS) book series (Scopus, Web of Science, SCImago, INSPEC, etc.). The 1st edition was successfully published by Springer in the same book series ( https://link.springer.com/conference/i2comsapp ).
Selected outstanding papers will be invited to submit an extended version to some reputable journals, which will be indicated later.
Workshops
Workshop 1
Harnessing AI for Academic Excellence: A Guide for Economics and Law
The workshop aims to foster meaningful dialogue among faculty in Economics and Law about integrating AI into educational practice, highlighting its benefits and potential applications. It will offer strategies to enhance student learning through AI while ensuring adherence to Academic Integrity policies specific to these fields. The facilitator will utilize active learning approaches such as small-group debates, case studies relevant to Economics and Law, and interactive discussions to encourage collaboration and engagement. Participants will be guided to reflect on their teaching methods, exchange ideas with peers, and collaboratively apply AI-driven innovations to their teaching. Ethical considerations, particularly relevant to Economics and Law, will be a focal point of the workshop. Discussions will address issues such as ethical use of data, potential biases in AI algorithms, and preserving the essential human elements of teaching amidst technological integration. Participants will contemplate these ethical dimensions and develop strategies to navigate them responsibly. Finally, attendees will use AI tools to design a course module in their disciplines, which includes crafting learning outcomes, selecting appropriate pedagogical strategies, and aligning assessment tools—incorporating AI effectively in their course design process.
See more
Presenters:
Prof. Cheikh Ould Moulaye (Senior Instructor) and Mariem Moulaye from Manitoba University, Canada.
Workshop 2
Emerging Trends in Large Language Models
Large Language Models (LLMs) are revolutionizing how humans interact with technology, transforming fields ranging from education and healthcare to creative arts and industry. With unprecedented abilities to comprehend, generate, and reason through human language, LLMs open new possibilities for innovation, problem-solving, and productivity. As these models rapidly evolve, understanding the emerging trends and capabilities becomes crucial to unlocking their full potential across diverse domains. This comprehensive workshop dives deeply into the most exciting and influential developments shaping today’s LLM landscape. Participants will explore advanced reasoning techniques that allow models to handle complex problems, multimodal capabilities enabling integration across text, audio, and visual modalities, and state-of-the-art methods in prompt engineering that maximize model effectiveness. Practical, hands-on sessions will showcase retrieval-augmented generation (RAG), instruction tuning, external tool integration, and extended context windows, highlighting how these innovations substantially improve model accuracy, coherence, and applicability. Additionally, the workshop introduces agent-based systems and agentic workflows, illustrating how LLMs can autonomously orchestrate multiple tasks, reason over outcomes, and collaborate dynamically with other AI systems or external APIs. Participants will learn to design, deploy, and optimize LLM-driven agents capable of achieving complex objectives in real-world applications. Tailored to researchers, developers, and industry professionals, this workshop offers both theoretical insights and practical skills, empowering attendees to lead the next wave of AI-driven innovation.
See more
Presenters:
Group of expert scientists and professionals from different Universities, MBZUAI and others.
Workshop 3
Building an Artificial Intelligence of Things (AIoT) System
This workshop will guide participants through the complete process of building an AIoT system, from data collection to AI model deployment on edge devices. Participants will learn how to integrate AI with IoT to create intelligent, autonomous, and resource-efficient systems. The session will focus on the synergy between IoT, AI, and Edge Computing, with practical hands-on activities using Edge Impulse, Collab and edge computing platforms.
Presenters:
Dr. Eng. Mohamed Ould-Elhassen Aoueileyine from Innov’COM Lab, SUPCOM, University of Carthage, Tunisia.
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 :
Authors
Student
50 USD
(≈2000 MRU)

Non-student
100 USD
(≈4000 MRU)
Registration fees include:
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
Attendees (Non-authors)
Student
75 USD
(≈3000 MRU)

Non-student
150 USD
(≈6000 MRU)
Registration fees include:
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
Workshops Registration
Student
50 USD
(≈2000 MRU)
Registration fees include:
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
Non-student
100 USD
(≈4000 MRU)
Registration fees include:
• Conference Daily Lunch
• Coffee Breaks
• An attendance certificate in Arabic and English language
Discussion Panels
Future of AI : Predictions from industry leaders
Ethics in AI : An open dialogue with experts
Previous Edition
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): mas.infoo23@gmail.com
Accomodation
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
ESP
Ecole Supérieure Polytechnique de Nouakchott, Mauritania
SUPNUM
Institut Supérieur du Numérique, Nouakchott, Mauritania
University of Derby
Data Science Research Centre, College of Science and Engineering, University of Derby, UK
Sponsors
I2COMSAPP International Conference
Artificial Intelligence
and its Applications
in the Age of Digital Transformation
20-22 October 2025
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 © 2025