activity
20212026
most citedThe Evolution of Digital Twins from Reactive to Agentic Systems

8 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CE2026★ 8 cited

The Evolution of Digital Twins from Reactive to Agentic Systems

Omer San, Adil Rasheed, Eda Bozdemir +1

Digital twins are evolving into self-learning, autonomous systems that link models, data, and human interaction. Realizing their full potential depends on interoperability, standar…

eess.SY2025

Large Language Models for Control

Adil Rasheed, Oscar Ravik, Omer San

This paper investigates using large language models (LLMs) to generate control actions directly, without requiring control-engineering expertise or hand-tuned algorithms. We implem…

cs.AI2025★ 1 cited

Hybrid Modeling, Sim-to-Real Reinforcement Learning, and Large Language Model Driven Control for Digital Twins

Adil Rasheed, Oscar Ravik, Omer San

This work investigates the use of digital twins for dynamical system modeling and control, integrating physics-based, data-driven, and hybrid approaches with both traditional and A…

cs.CY2024★ 1 cited

Digital Twin for Wind Energy: Latest updates from the NorthWind project

Adil Rasheed, Florian Stadtmann, Eivind Fonn +12

NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and…

math.NA2023

Enhancing Elasticity Models: A Novel Corrective Source Term Approach for Accurate Predictions

Sondre Sørbø, Sindre Stenen Blakseth, Adil Rasheed +2

With the recent wave of digitalization, specifically in the context of safety-critical applications, there has been a growing need for computationally efficient, accurate, generali…

physics.flu-dyn2023

Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach

Jacob Wulff Wold, Florian Stadtmann, Adil Rasheed +3

Atmospheric flows are governed by a broad variety of spatio-temporal scales, thus making real-time numerical modeling of such turbulent flows in complex terrain at high resolution…

cs.CV2021

Geometric Change Detection in Digital Twins using 3D Machine Learning

Tiril Sundby, Julia Maria Graham, Adil Rasheed +2

Digital twins are meant to bridge the gap between real-world physical systems and virtual representations. Both stand-alone and descriptive digital twins incorporate 3D geometric m…