AI2M4RI: Internnational Workshop on AI & Mathematical Methods for Real‑world Impact Athens, Greece, August 18-20, 2026

International Workshop on AI & Mathematical Methods for Real‑world Impact (AI2M4RI’2026)

In conjunction with:

The 23rd International Conference on Mobile Systems and Pervasive Computing

August 18-20, 2026, Athens, Greece

Description

Artificial Intelligence and mathematical modeling are increasingly driving breakthroughs in solving complex real‑world problems across health, environment, mobility, economics, and social systems. As data grows in scale and complexity, the integration of rigorous mathematical methods with modern AI becomes essential for building reliable, interpretable, and impactful solutions. This workshop brings together researchers, practitioners, and students working at the intersection of AI, machine learning, mathematics, and applied sciences to exchange ideas, present innovative methodologies, and showcase applications that deliver tangible real‑world benefits. It aims to foster interdisciplinary dialogue, highlight emerging challenges, and inspire new collaborations that push the boundaries of AI‑driven mathematical modeling.We invite high‑quality submissions presenting novel models, theoretical insights, applied case studies, or interdisciplinary approaches that leverage AI and mathematical tools to address real‑world challenges.

Topics of interest include (but are not limited to):

• Machine learning and statistical modeling for real‑world data
• Integrating AI, ABM, and Mathematical Tools for Advances in Mining and Geology
• Mathematical modeling, simulation, and dynamical systems
• Explainable, interpretable, and trustworthy AI
• Optimization, control, and decision‑making under uncertainty
• Artificial Intelligence and Probabilistic Modeling for Sports Betting
• AI for health, environment, climate, and public policy
• Spatio‑temporal modeling, forecasting, and geospatial analytics
• AI and mathematical tools for resource‑limited or data‑scarce settings
• Hybrid AI–mathematics approaches (physics‑informed ML, model‑driven ML, etc.)
• Case studies demonstrating real‑world impact
• Probabilistic modeling, Bayesian inference, and uncertainty quantification
• Numerical methods and scientific computing for AI systems
• Graph theory, network science, and graph‑based machine learning
• AI‑Driven Enterprise Management Strategies in Low Income Countries
• Reinforcement learning and sequential decision processes
• Optimization algorithms for large‑scale or complex systems
• AI for epidemiology, disease modeling, and public health surveillance
• Mathematical foundations of deep learning and representation learning
• Fairness, robustness, and bias mitigation in AI models
• Data assimilation, sensor fusion, and real‑time prediction
• AI for sustainable development, agriculture, and natural resource management
• Multi‑agent systems, game theory, and collective intelligence
• AI‑driven mathematical modeling for mobility, logistics, and smart cities
• Computational social science and socio‑economic modeling
• Verification, validation, and reliability of AI‑based mathematical models
• Interdisciplinary applications combining AI, mathematics, and domain expertise

Paper Submission

• Submissions must be original and not under review elsewhere.
• Papers must follow the Procedia Computer Science (ELSEVIER) formatting guidelines. MS Word or LaTeX : https://tinyurl.com/vvpx8d8w
• Maximum length: 6 pages, including figures, tables, and references. 
• All submissions must be uploaded through EasyChair: https://easychair.org/conferences/?conf=ai2m4ri in PDF format before the deadline (see Important Dates).

Important Dates

• Paper submission deadline: April 15th, 2026
• Author notification: May 6th, 2026
• Camera‑ready deadline: June 3rd, 2026

Paper Publication

Workshop Chairs

Selain Kasereka : Centre de recherche ABIL, Department of Mathematics, Statistics and Computer Science, University of Kinshasa, Democratic Republic of Congo, Email: selain.kasereka[at]unikin.ac.cd

Kyandoghere Kyamakya: Institute of Smart Systems Technologies, University of Klagenfurt, AustriaEmail: kyandoghere.kyamakya[at]aau.at

Organizing  Committee

• Roland Kakule, Centre de Recherches Géologiques et Minières, Kinshasa , DR Congo
• Rufin‑Benoît M. Ngoie, Institut Supérieur Pédagogique de Mbanza‑Ngungu, DR Congo
• Alidor Mbayandjambe, University of Kinshasa, Kinshasa, DR Congo
• Reagan Mandiya, Université de Loraine, Loraine, France
• Onesime Mbulayi, University of Padua, Padova, Italy
• Jean-Roger M. Bansimba, Institut Supérieur Pédagogique de Mbanza‑Ngungu, DR Congo
• Godwill Ilunga, University of Padua, Padova, Italy

Technical Program Committee (TPC)

• Emile Franc Doungmo Goufo, University of South Africa, Pretoria, South Africa
• Ho Tuong Vinh, Vietnam National University, Hanoi, Vietnam
• Serge Bisuta Fueza, University of Kinshasa, Kinshasa, DR Congo
• Nathanaël Kasoro Mulenda, University of Kinshasa, Kinshasa, DR Congo
• Apollinaire Ndondo Mboma, University of Lubumbashi, Lubumbashi, DR Congo
• Christian Bope Domilongo, University of Kinshasa, Kinshasa, DR Congo
• Petro Mushidi Tshakwanda, University of New Mexico, New Mexico, USA
• Hervé Kabamba Mbikayi , École Polytechnique de Montréal, Montréal, Canada
• Rebecca Walo Omana, University of Kinshasa, Kinshasa, DR Congo
• Felicien Jordan Masakuna, University of Kinshasa, Kinshasa, DR Congo
• Tasho Tashev, Technical University of Sofia, Sofia, Bulgaria
• Neil Guerrero Gonzalez, Universidad Nacional de Colombia, Colombia, Colombia
• Masoud Sahami, Technical University of Sofia, Sofia, Bulgaria
• Mpyana Mwamba Merlec, Korea University, Seoul, South Korea
• Christian Mulomba Mukendi, KyungSung University, Busan, Republic of Korea
• Joseph-Desiré Bukweli, University of Kinshasa, DR Congo
• Ramadhani Issa, University of Kinshasa, Kinshasa, DR Congo
• Milena Savova-Mratsenkova, Technical University of Sofia, Sofia, Bulgaria
• Jean Lubumba, University of the Witwatersrand,, Johannesburg, South Africa
• Olivier Olela Otafudu, University of Limpopo, Potchefstroom, South Africa
• Rajesh Gupta, Institute of Technology, Nirma University, India
• Fadi Al Machot, Alpen-Adria University (AAU), Klagenfurt, Austria
• Pitshou Bokoro, University of Johannesburg, Johannesburg, South Africa
• Thulane Paepae, University of Johannesburg, Johannesburg, South Africa
• Vianney Witesyavwirwa Kambale, Tshwane University of Technology, Pretoria, South Africa
• Kabeh Mohsenzadegan, Alpen-Adria University (AAU), Klagenfurt, Austria
• Van Duc Nguyen, Hanoi University of Science and Technology (HUST), Hanoi, Vietnam
• Taha Benarbia, Université d'Oran 2 Mohamed Ben Ahmed, Oran, Algeria
• Jean Chamberlain Chedjou, Alpen-Adria University (AAU), Klagenfurt, Austria
• Zhong Li, FernUniversität in Hagen, Hagen, Germany

Contacts details:  selain.kasereka@unikin.ac.cd  or ai2m4ri@gmail.com