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
Important Dates
Paper submission deadline: April 15th, 2026
Author notification: May 6th, 2026
Camera‑ready deadline: June 3rd, 2026
Paper Publication
All accepted and registered papers will be included in “The 23rd International Conference on Mobile Systems and Pervasive Computing” proceedings published by Elsevier Science in the open-access Procedia Computer Science series on-line.
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@unikin.ac.cd
Kyandoghere Kyamakya
Institute of Smart Systems Technologies
University of Klagenfurt, Austria
Email: kyandoghere.kyamakya@aau.at
Organizing Committee
Elhadi M. Shakshuki, Wolfville, Canada
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
Contact:s selain.kasereka@unikin.ac.cd or ai2m4ri@gmail.com