Luka Grbcic

According to our database, Luka Grbcic authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis.

Oluwamayowa O. Amusat, Luka Grbcic, Remi Patureau, M. Jibran S. Zuberi, Dan Gunter, Michael Wetter

CoRR, April, 2026

2025

Randomness as Reference: Benchmark Metric for Optimization in Engineering.

Stefan Ivic, Sinisa Druzeta, Luka Grbcic

CoRR, November, 2025

Optimizing PyTorch Inference with LLM-Based Multi-Agent Systems.

Kirill Nagaitsev, Luka Grbcic, Samuel Williams, Costin Iancu

CoRR, November, 2025

Artificial intelligence driven laser parameter search: Inverse design of photonic surfaces using greedy surrogate-based optimization.

Luka Grbcic, Minok Park, Juliane Mueller, Vassilia Zorba, Wibe Albert de Jong

Eng. Appl. Artif. Intell., 2025

AutoTandemML: Active learning enhanced tandem neural networks for inverse design problems.

Luka Grbcic, Juliane Müller, Wibe Albert de Jong

Appl. Soft Comput., 2025

2024

Efficient inverse design optimization through multi-fidelity simulations, machine learning, and boundary refinement strategies.

Luka Grbcic, Juliane Müller, Wibe Albert de Jong

Eng. Comput., December, 2024

AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization.

Luka Grbcic, Minok Park, Juliane Müller, Vassilia Zorba, Wibe Albert de Jong

CoRR, 2024

Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing.

Luka Grbcic, Minok Park, Mahmoud Elzouka, Ravi Prasher, Juliane Müller, Costas P. Grigoropoulos, Sean D. Lubner, Vassilia Zorba, Wibe Albert de Jong

CoRR, 2024

2023

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies.

Luka Grbcic, Juliane Müller, Wibe Albert de Jong

CoRR, 2023

2022

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis.

Luka Grbcic, Sinisa Druzeta, Goran Mausa, Tomislav Lipic, Darija Vukic Lusic, Marta Alvir, Ivana Lucin, Ante Sikirica, Davor Davidovic, Vanja Travas, Daniela Kalafatovic, Kristina Pikelj, Hana Fajkovic, Toni Holjevic, Lado Kranjcevic

Environ. Model. Softw., 2022

Reconstruction and analysis of negatively buoyant jets with interpretable machine learning.

Marta Alvir, Luka Grbcic, Ante Sikirica, Lado Kranjcevic

CoRR, 2022

Machine learning based surrogate models for microchannel heat sink optimization.

Ante Sikirica, Luka Grbcic, Lado Kranjcevic

CoRR, 2022

Multi-UAV trajectory planning for 3D visual inspection of complex structures.

Stefan Ivic, Bojan Crnkovic, Luka Grbcic, Lea Matlekovic

CoRR, 2022

Predictive modeling of microbiological seawater quality classification in karst region using cascade model.

Ivana Lucin, Sinisa Druzeta, Goran Mausa, Marta Alvir, Luka Grbcic, Darija Vukic Lusic, Ante Sikirica, Lado Kranjcevic

CoRR, 2022

2021

Numerical modeling of fluid mixing in pipe networks with machine learning applications: doctoral dissertation ; Rad ne sadrži naslov na drugom jeziku.

Luka Grbcic

PhD thesis, 2021

Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network.

Ivana Lucin, Luka Grbcic, Zoran Carija, Lado Kranjcevic

Sensors, 2021

Machine Learning and Simulation-Optimization Coupling for Water Distribution Network Contamination Source Detection.

Luka Grbcic, Lado Kranjcevic, Sinisa Druzeta

Sensors, 2021

2020

A Machine Learning-based Algorithm for Water Network Contamination Source Localization.

Luka Grbcic, Ivana Lucin, Lado Kranjcevic, Sinisa Druzeta

Sensors, 2020

2019

Introducing languid particle dynamics to a selection of PSO variants.

Sinisa Druzeta, Stefan Ivic, Luka Grbcic, Ivana Lucin

CoRR, 2019