Int'l Workshop on AI & Mathematical Methods for Real‑world Impact
(Hybrid)
(Hybrid)
In conjunction with
The 23rd International Conference on Mobile Systems and Pervasive Computing (MobiSPC)
The 17th International Conference
University of Kinshasa
ABIL Research Center
Institute od Smart Systems & technologies
ESU-RSI
Democratic Republic of the Congo
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).
Maximum length: 6 pages, including figures, tables, and references.
All submissions must be uploaded through EasyChair.
Important Dates
Paper submission deadline: April 15th, 2026
Author notification: May 6th, 2026
Camera‑ready deadline: June 3rd, 2026
Paper Publication
All ccepted 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. Procedia Computer Science is hosted by Elsevier on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com), and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index (http://thomsonreuters.com/conference-proceedings-citation-index/). All papers in Procedia will also be indexed by Scopus (www.scopus.com) and Engineering Village (Ei) (www.engineeringvillage.com). This includes EI Compendex (www.ei.org/compendex). Moreover, all accepted papers will be indexed in DBLP (http://dblp.uni-trier.de/). The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings.
Workshop Chairs
Selain Kasereka
ABIL Research Center
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
Hosted by the Faculty of Sciences and Techologies
Hosted by Vietnam National University