Tom Jeleniewski

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About

Tom Jeleniewski is a researcher at the forefront of integrating artificial intelligence planning with systems engineering, with a primary focus on bridging the gap between model-based systems engineering (MBSE) and automated planning. His most notable contribution is the development of a novel SysML profile that enables the direct embedding of Planning Domain Definition Language (PDDL) semantics into system models, allowing engineers to automatically generate PDDL files from structured SysML diagrams. This work, published in 2025 and already garnering 2 citations, introduces reusable stereotypes for key planning concepts such as types, predicates, functions, and actions, while employing formal OCL constraints to ensure model consistency. Jeleniewski’s research addresses a critical bottleneck in the design of autonomous systems, where manual translation between system models and planning domains is error-prone and time-consuming. By enabling seamless integration, his approach promises to accelerate the development of intelligent, goal-driven systems in domains like robotics and aerospace. His work represents a significant step toward unifying systems engineering and AI planning, making him a rising voice in the MBSE and AI communities.