SPECIAL SESSION #10

Mario Linares-Vásquez

Universidad de los Andes, Colombia

• m.linaresv@uniandes.edu.co

Artificial intelligence is rapidly transforming how military organizations generate, process, analyze, and exploit information across operational, tactical, and strategic domains. Recent advances in large language models, computer vision, multimodal learning, knowledge representation, and decision-support systems are enabling new approaches to military planning, information analysis, doctrine development, situational awareness, and command support.

As defense institutions increasingly operate in data-intensive environments, one of the principal challenges is no longer the availability of information, but the ability to transform heterogeneous data into reliable knowledge that supports timely and effective decision-making. Addressing this challenge requires interdisciplinary research integrating artificial intelligence, data science, operational expertise, and human-machine collaboration.

This Special Session provides an international forum for researchers, military professionals, government organizations, and industry to present innovative research and practical applications that leverage artificial intelligence to enhance military knowledge, information analysis, and decision support across defense and security domains.

Artificial intelligence is reshaping military organizations by accelerating the transformation of data into actionable knowledge. While considerable research has focused on autonomous systems, cybersecurity, and autonomous platforms, comparatively less attention has been devoted to AI methods that support military knowledge management, information analysis, doctrine development, and operational decision support.

This Special Session aims to bridge that gap by bringing together interdisciplinary contributions from academia, defense organizations, government agencies, and industry. The session seeks to promote scientific discussion on AI-enabled technologies that strengthen military decision-making while ensuring reliability, transparency, and operational relevance.

Contributions describing theoretical advances, innovative methodologies, operational prototypes, experimental evaluations, case studies, and lessons learned are all welcome. We invite original research papers addressing, but not limited to, the following topics:

• Large Language Models (LLMs) for defense applications;
• Natural Language Processing for military documentation and doctrine;
• Retrieval-Augmented Generation (RAG) for defense knowledge systems;
• Knowledge representation and semantic technologies;
• Military knowledge management;
• Artificial intelligence for doctrine development;
• Information analysis using artificial intelligence;
• Decision Support Systems for command and control;
• Human-AI teaming for operational planning and decision-making;
• Computer Vision for defense applications;
• Image and video analysis from airborne, satellite, and unmanned sensors;
• Multimodal artificial intelligence;
• Information fusion from heterogeneous sources;
• Geospatial information analysis;
• Situational awareness supported by AI;
• Predictive analytics for military operations;
• Explainable and trustworthy AI;
• Responsible and ethical AI for defense;
• Digital transformation of military decision-making.

Mario Linares-Vásquez is a Systems and Computing Engineer with a Master's in Systems and Computing Engineering from the Universidad Nacional (Colombia). Ph.D. in Computer Science from William & Mary University. Associate Professor at the School of Engineering of Universidad de los Andes and Director of the Defense Applications Program at the DualTech Ecosystem. Member of the Technological Modernization Committee of the Advisory Council for the National Statistical System. Advisor to the Intelligence and Education Commands of the Colombian Aerospace Force. Second Lieutenant in the Reserve Officer Professional Corps of the Colombian Aerospace Force. IEEE CertfAIed AI Ethics Professional. With over 20 years of experience in the software industry and more than 15 years as a university professor.
Senior IEEE member internationally recognized for his contributions in the area of software evolution and maintenance. Recognized by the research.org portal as a “Top-3 Computer Science Researcher” in Colombia since 2021 and as Colombia’s “Top-1 Science Rising Star” from 2023 to 2005. He has received the ACM Distinguished Paper Award on four occasions and is a three-time winner of the Google Latin America Research Award (LARA). His research interests include Automated Software Engineering, responsible AI usage, universal design, and military innovation. Honored by the Colombian Aerospace Force with the “Marco Fidel Suárez” and “Distinguished Services to Ai