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.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome.

• Submissions must be original and not under review elsewhere.

• Papers must follow the Procedia Computer Science (ELSEVIER) formatting guidelines (MS Word or LaTeX), Generic template PDF

• Maximum length: 6 pages, including figures, tables, and references.

• Authors’ names and affiliations should not be included in the initial submission. This information should only be included in the final version of accepted papers.

• All submissions must be uploaded through EasyChair.

List of Topics

• Anomaly Detection, Diagnosis, and Prognostics (FDI/PHM)

• Hybrid Models: Physics + AI (Physics-Informed / Grey-Box)

• AI for Optimization and Decision Support

• Hybrid Models: Physics + AI (Physics-Informed / Grey-Box)

• 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

Committees

Program Committee

• Selain Kasereka

  ABIL Research Center

  Department of Mathematics, Statistics and Computer Science

  University of Kinshasa, Democratic Republic of the Congo

  Email: selain.kasereka@unikin.ac.cd

• Ruffin-Benoît M. Ngoie

  Department of Mathematics

  Institut Supérieur Pédagogique de Mbanza-Ngungu, Democratic Republic of the Congo

  Email: rbngoie@isp-mbng.ac.cd

Organizing Committee

• Jean-Roger M. Bansimba, Institut Supérieur Pédagogique de Mbanza‑Ngungu, DR Congo

• God'El K. Kinyoka, Université Pédagogique Nationale, DR Congo

• Rama M. Bazangika, Institut Supérieur Pédagogique de Mbanza‑Ngungu, DR Congo

• Roland Kakule, Centre de Recherches Géologiques et Minières, Kinshasa , DR Congo

• Alidor Mbayandjambe, University of Kinshasa, Kinshasa, DR Congo

• Reagan Mandiya, Université de Loraine, Loraine, France

• Onesime Mbulayi, University of Padua, Padova, Italy

• Godwill Ilunga, University of Padua, Padova, Italy

Publication

All accepted and registered papers will be included in “The 18th International Conference on Ambient Systems, Networks and Technologies” 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.

Venue

The conference will be held in Delft, the Netherlands, April 13-15, 2027.

Contact

All questions about submissions should be emailed to Workshop Secretary (ai2m4ri@gmail.com) Prof Selain K. Kasereka (selain.kasereka@unikin.ac.cd) and/or Prof Ruffin-Benoît M. Ngoie (rbngoie@isp-mbng.ac.cd)