I2COMSAPP International Conference on Artificial Intelligence and its Practical Applications in the Age of Digital Transformation 3rd Edition
Dates
14–16 Dec 2026
Location
Nouakchott University Campus, Nouakchott.
Organized by
Faculty of Sciences and Techniques
Nouakchott University, Nouakchott, Mauritania
Paper Submission July 31, 2026
Acceptance Decision September 30, 2026
Camera Ready & Registration October 15, 2026
Paper Submission July 31, 2026
Acceptance Decision September 30, 2026
Camera Ready & Registration October 15, 2026
The countdown to innovation has begun.
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 previous editions of the conference, the 3rd 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.
Research Domains
Conference Tracks
AI for Digital Economy and Finance:
• Algorithmic Trading and Financial Forecasting
• Customer Behavior Analysis
• Fraud Detection and Prevention
• Personalized Marketing and Recommendation Systems
• Etc
AI for Biometrics and Cybersecurity:
• Facial Recognition
• Fingerprint and Iris Recognition
• Voice and Speech Recognition
• Biometric Security Systems
• Etc
AI for Healthcare and Well-being:
• Disease Diagnosis and Predictive Modeling
• Remote Patient Monitoring
• Remote Diagnosis and Telemedicine
• Electronic Health Records Analysis
• Drug Discovery and Development
• Etc
AI for Education and Learning:
• Personalized Learning Paths
• Online and Remote Learningenvironments
• Domain modeling and knowledge extraction
• Intelligent Tutoring Systems
• Automated Grading and Assessment
• Etc
AI for Autonomous Systems and Robotics:
• Autonomous Vehicles
• Robotics and Drone Applications
• Smart Cities and Infrastructure
• Disaster Management
• Industrial Automation and Manufacturing
• Etc
AI for Energy and Resource Management:
• Predictive Maintenance for Equipment
• Reservoir Modeling and Optimization
• Environmental Monitoring and Compliance
• Supply Chain Management
• Etc
AI for Agriculture and Food Security:
• Precision Agriculture
• Crop Disease Detection and Management
• Agricultural Robotics and Automation
• Soil Health Analysis
• Etc
AI for Culture and Accessibility:
• Assistive Technologies for the Visually Impaired
• Speech Recognition and Augmented Communication
• Mobility Aids and Navigation Systems
• Cognitive Support for Neurodiverse Individuals
• Etc
Generative AI and Creative Technologies:
• Image Generation and Style Transfer
• Text Generation and Natural Language Generation
• Poetry Generation
• Video Synthesis
• Etc
AI for Networking, Cloud, and Emerging Tech:
• AI for 5G/6G
• AI for Cloud/Edge/Fog computing
• AI and Networking
• Etc
Other Relevant Topics in AI:
Eminent Minds
Keynote Speakers
Haitham Abu-Rub
PhD, IEEE Fellow College of Science and Engineering (CSE) Qatar Environment and Energy research Institute (QEERI), Hamad Bin Khalifa University.
The Role of Artificial Intelligence in Enabling the Next Renewable-Energy-Dominated Grid: Opportunities and Challenges
Talk Abstract
The Role of Artificial Intelligence in Enabling the Next Renewable-Energy-Dominated Grid: Opportunities and Challenges The transition toward a renewable-energy-dominated grid is t...
The Role of Artificial Intelligence in Enabling the Next Renewable-Energy-Dominated Grid: Opportunities and Challenges The transition toward a renewable-energy-dominated grid is transforming the way electrical power systems are planned, operated, and controlled. While the massive integration of renewable energy resources, energy storage systems, electric vehicles, and distributed energy assets offers great opportunities for improving sustainability, efficiency, and resilience, it also introduces significant challenges and expectations. Future power systems will be dominated by power-electronics-based resources, leading to reduced system inertia and new stability concerns that cannot be effectively addressed using conventional approaches. Artificial Intelligence (AI) is emerging as a key enabling technology for addressing these challenges and supporting the transition toward a new reliable grid paradigm that is renewable-energy-dominated. AI techniques can enhance forecasting, control, protection, condition monitoring, asset management, and self-healing operation, enabling more efficient and resilient grid performance. This talk will discuss the role of AI in enabling such intelligent power systems, highlighting key opportunities and challenges. Case studies related to real-time deployment of AI in the power grid will be presented. SHORT BIOGRAPHY Haitham Abu-Rub, PhD, IEEE Fellow College of Science and Engineering (CSE) Qatar Environment and Energy research Institute (QEERI), Hamad Bin Khalifa University. Haitham Abu-Rub is a Professor at the College of Science and Engineering (CSE) and Joint Principal Scientist with Qatar Environment and Energy research Institute (QEERI), Hamad Bin Khalifa University, and an adjunct Professor at Texas A&M University at Qatar (TAMUQ). He received two PhDs, one in electrical engineering from Gdansk University of Technology, Poland, in 1995, and the second Ph.D. degree in humanities from Gdansk University, Poland, in 2004. Abu-Rub has research and teaching experiences at many universities in many countries including Qatar, Poland, Palestine, USA, and Germany. He has served for five years as the chair of Electrical and Computer Engineering Program at TAMUQ and for ten years as the managing director of the Smart Grid Center at the same university. Abu-Rub is the recipient of many national and international awards and recognitions. He is the recipient of Fulbright and Alexander von Humboldt scholarships. Abu-Rub has published over 650 journal and conference papers, three patents, ten books, and over fourteen book chapters. Abu-Rub is a Fellow of IEEE and is the Vice President for Publications at IEEE IES. The Role of Artificial Intelligence in Enabling the Next Renewable-Energy-Dominated Grid: Opportunities and Challenges The transition toward a renewable-energy-dominated grid is t...Bio
Haitham Abu-Rub is a Professor at the College of Science and Engineering (CSE) and Joint Principal Scientist with Qatar Environment and Energy research Institute (QEERI), Hamad Bin...
Haitham Abu-Rub is a Professor at the College of Science and Engineering (CSE) and Joint Principal Scientist with Qatar Environment and Energy research Institute (QEERI), Hamad Bin Khalifa University, and an adjunct Professor at Texas A&M University at Qatar (TAMUQ). He received two PhDs, one in electrical engineering from Gdansk University of Technology, Poland, in 1995, and the second Ph.D. degree in humanities from Gdansk University, Poland, in 2004. Abu-Rub has research and teaching experiences at many universities in many countries including Qatar, Poland, Palestine, USA, and Germany. He has served for five years as the chair of Electrical and Computer Engineering Program at TAMUQ and for ten years as the managing director of the Smart Grid Center at the same university. Abu-Rub is the recipient of many national and international awards and recognitions. He is the recipient of Fulbright and Alexander von Humboldt scholarships. Abu-Rub has published over 650 journal and conference papers, three patents, ten books, and over fourteen book chapters. Abu-Rub is a Fellow of IEEE and is the Vice President for Publications at IEEE IES. Haitham Abu-Rub is a Professor at the College of Science and Engineering (CSE) and Joint Principal Scientist with Qatar Environment and Energy research Institute (QEERI), Hamad Bin...Hend S. Al-Khalifa
Professor Information Technology Department CCIS, King Saud University Saudi Arabia, Riyadh
Arabic Lives in People, Not in Tokens: Bringing Arabic NLP Together with the Sciences of Language, Mind, and Society
Talk Abstract
Arabic AI models Arabic. Linguists study how Arabic works. Social psychologists and sociolinguists study what Arabic does between people. Clinicians and cognitive scientists study...
Arabic AI models Arabic. Linguists study how Arabic works. Social psychologists and sociolinguists study what Arabic does between people. Clinicians and cognitive scientists study what Arabic does inside the mind and brain. These communities study the same language, yet rarely speak. Today's Arabic LLMs already reassure, flatter, validate, and judge Arab users by the millions, and we have almost no principled way to measure what these conversations do to the people on the other side. Drawing on years of interdisciplinary work at King Saud University, this keynote explores what an honest partnership across these communities could look like. The next decade of Arabic AI will not be won by larger models. It will be won by larger conversations. Arabic AI models Arabic. Linguists study how Arabic works. Social psychologists and sociolinguists study what Arabic does between people. Clinicians and cognitive scientists study...Bio
Professor Hend S. Al-Khalifa is a dedicated academic and researcher in the field of Arabic Natural Language Processing and artificial intelligence at King Saud University in Riyadh...
Professor Hend S. Al-Khalifa is a dedicated academic and researcher in the field of Arabic Natural Language Processing and artificial intelligence at King Saud University in Riyadh, Saudi Arabia. She serves as a Professor in the Information Technology Department of the College of Computer and Information Sciences. Over the years, Professor Al-Khalifa has made contributions to her field through her research work, which has resulted in over 200 publications in various workshops, international conferences, and journals. Her work has received recognition, earning her an H-index of 43 and placing her among the most-cited scientists worldwide. Professor Al-Khalifa's career has been marked by achievements such as awards, research grants, and involvement in academic conferences and journals. She has actively participated in the scientific community, bridging her scholarly work with practical applications. In addition to her research contributions, Professor Al-Khalifa has served on the program committees of several international conferences in the field of Natural Language Processing (NLP), including: ACL, NAACL-HLT, EMNLP, ACL-IJCNLP, LREC, ArabicNLP, ACLing, and IALP. She has also taken on leadership roles, co-chairing WANP2023, COLING2025 and ArabicNLP2026, as well as organizing the OSACT (The Workshop on Open-Source Arabic Corpora and Processing Tools) co-located with LREC for 10 years. Furthermore, she also serves as a reviewer on the ACL Rolling Review (ARR) and many international journals e.g. Data-in-Brief, IEEE Access, ACM Transactions on Asian and Low-Resource Language Information Processing, to name a few. Professor Al-Khalifa's research interests include Arabic NLP, Computational Social sciences, Explainable AI, Human-Computer Interaction (HCI), and Computers for People with Special Needs, reflecting her commitment to exploring diverse and impactful areas of computer science and artificial intelligence. Professor Hend S. Al-Khalifa is a dedicated academic and researcher in the field of Arabic Natural Language Processing and artificial intelligence at King Saud University in Riyadh...Discussion Panels
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Collaborators
Academic and research partners
University of Derby
Data Science Research Centre, College of Science and Engineering, University of Derby, UK
Institut Supérieur de Comptabilité et d'Administration des Entreprises
Institut Supérieur de Comptabilité et d'Administration des Entreprises
UNNESCO
Sponsors
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