collaborators

5 papers

cs.SE2026

Artificial Intelligence and Modeling & Simulation: An Overview

Niclas Feldkamp, Philippe J. Giabbanelli, Istvan David

Artificial intelligence (AI) and Modeling & Simulation (M&S) are increasingly intertwined, reflecting converging research needs across both communities, rapid technological advance…

cs.AI2026

Composing Verifiable Conceptual Models via Building Blocks: Towards Design-Time Verification of Agentic AI Workflows

Noe Y. Flandre, Alexander C. Nwala, Philippe J. Giabbanelli

Agentic AI systems orchestrate multiple LLM-based agents through workflow architectures that coordinate decisions, tools, and external actions. While current platforms emphasize ru…

cs.ET2026

Text-to-Image Generative AI for Modeling and Simulation: Methods, Opportunities, and Applications

Philippe J. Giabbanelli

Text-to-image generation is a form of generative artificial intelligence (GenAI) that converts textual descriptions into images. Most applications of GenAI in modeling and simulati…

stat.AP2026

Socio-Spatial Patterns of Suicide Mortality in the United States

Kushagra Tiwari, M. Amin Rahimian, Marie-Laure Charpignon +2

Suicides cause over 49000 deaths yearly in the United States, 55% involving firearms. Suicide mortality exhibits substantial geographical and sociodemographic heterogeneity; yet th…

cs.AI2026

A Guide to Large Language Models in Modeling and Simulation: From Core Techniques to Critical Challenges

Philippe J. Giabbanelli

Large language models (LLMs) have rapidly become familiar tools to researchers and practitioners. Concepts such as prompting, temperature, or few-shot examples are now widely recog…