Oriol Lehmkuhl

23 papers A 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization. CoRR Isaac Robledo, Alberto Vilariño, Arnau Miró, Oriol Lehmkuhl, Carlos Sanmiguel Vila, Rodrigo Castellanos
2025	J	`jnl`	Can Explicit Subgrid Models Enhance Implicit LES Simulations? A GPU-Oriented High-Order-Solver Perspective. CoRR Gonzalo Rubio, Gerasimos Ntoukas, Miguel Chávez-Modena, Oscar A. Mariño, Bernat Font, Oriol Lehmkuhl, Eusebio Valero, Esteban Ferrer
2025	J	`jnl`	Deep Reinforcement Learning for Active Flow Control around a Three-Dimensional Flow-Separated Wing at Re = 1,000. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez
2025	J	`jnl`	Deep-reinforcement-learning-based separation control in a two-dimensional airfoil. CoRR Xavier Garcia, Arnau Miró, Pol Suárez, Francisco Alcántara-Ávila, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa
2025	J	`jnl`	Discovering Flow Separation Control Strategies in 3D Wings via Deep Reinforcement Learning. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ricardo Vinuesa, Ivette Rodríguez
2025	J	`jnl`	Projection-based stabilization for high-order incompressible flow solvers. CoRR Antonio Blanco-Casares, Vishal Kumar, Daniel Mira, Oriol Lehmkuhl
2024	J	`jnl`	Alya toward exascale: algorithmic scalability using PSCToolkit. J. Supercomput. Herbert Owen, Oriol Lehmkuhl, Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2024	A	`conf`	Alya towards Exascale: Optimal OpenACC Performance of the Navier-Stokes Finite Element Assembly on GPUs. IPDPS Herbert Owen, Dominik Ernst, Thomas Gruber, Oriol Lehmkuhl, Guillaume Houzeaux, Lucas Gasparino, Gerhard Wellein
2024	J	`jnl`	Alya towards Exascale: Optimal OpenACC Performance of the Navier-Stokes Finite Element Assembly on GPUs. CoRR Herbert Owen, Dominik Ernst, Thomas Gruber, Oriol Lehmkuhl, Guillaume Houzeaux, Lucas Gasparino, Gerhard Wellein
2024	J	`jnl`	An algebraic global linelet preconditioner for incompressible flow solvers. J. Comput. Phys. Ramiro de Olazábal, Ricard Borrell, Oriol Lehmkuhl
2024	J	`jnl`	SOD2D: A GPU-enabled Spectral Finite Elements Method for compressible scale-resolving simulations. Comput. Phys. Commun. Lucas Gasparino, F. Spiga, Oriol Lehmkuhl
2024	J	`jnl`	Towards Active Flow Control Strategies Through Deep Reinforcement Learning. CoRR Ricard Montalà, Bernat Font, Pol Suárez, Jean Rabault, Oriol Lehmkuhl, Ivette Rodríguez
2023	J	`jnl`	Active flow control for three-dimensional cylinders through deep reinforcement learning. CoRR Pol Suárez, Francisco Alcántara-Ávila, Arnau Miró, Jean Rabault, Bernat Font, Oriol Lehmkuhl, Ricardo Vinuesa
2022	J	`jnl`	Alya towards Exascale: Algorithmic Scalability using PSCToolkit. CoRR Herbert Owen, Oriol Lehmkuhl, Pasqua D'Ambra, Fabio Durastante, Salvatore Filippone
2021	—	`conf`	A Data-Driven Wall-Shear Stress Model for LES Using Gradient Boosted Decision Trees. ISC Workshops Sarath Radhakrishnan, Lawrence Adu Gyamfi, Arnau Miró, Bernat Font, Joan Calafell, Oriol Lehmkuhl
2020	J	`jnl`	Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics. CoRR Ricard Borrell, Damien Dosimont, Marta Garcia-Gasulla, Guillaume Houzeaux, Oriol Lehmkuhl, V. Mehta, Herbert Owen, Mariano Vázquez, Guillermo Oyarzun
2020	J	`jnl`	Heterogeneous CPU/GPU co-execution of CFD simulations on the POWER9 architecture: Application to airplane aerodynamics. Future Gener. Comput. Syst. Ricard Borrell, Damien Dosimont, Marta Garcia-Gasulla, Guillaume Houzeaux, Oriol Lehmkuhl, V. Mehta, Herbert Owen, Mariano Vázquez, Guillermo Oyarzun
2019	J	`jnl`	A low-dissipation finite element scheme for scale resolving simulations of turbulent flows. J. Comput. Phys. Oriol Lehmkuhl, Guillaume Houzeaux, Herbert Owen, Giorgios Chrysokentis, Ivette Rodríguez
2018	J	`jnl`	Fluid-Structure Interaction Based on HPC Multicode Coupling. SIAM J. Sci. Comput. Juan C. Cajas, Guillaume Houzeaux, Mariano Vázquez, Marta García, Eva Casoni, Hadrien Calmet, Antoni Artigues, Ricard Borrell, Oriol Lehmkuhl, Daniel Pastrana, D. J. Yánez, R. Pons, Jordi Martorell
2016	J	`jnl`	On the properties of discrete spatial filters for CFD. J. Comput. Phys. Aleix Báez Vidal, Oriol Lehmkuhl, Francesc Xavier Trias, C. D. Pérez-Segarra
2015	J	`jnl`	Parallel load balancing strategy for Volume-of-Fluid methods on 3-D unstructured meshes. J. Comput. Phys. Lluís Jofre, Ricard Borrell, Oriol Lehmkuhl, Assensi Oliva
2014	J	`jnl`	Symmetry-preserving discretization of Navier-Stokes equations on collocated unstructured grids. J. Comput. Phys. Francesc Xavier Trias, Oriol Lehmkuhl, Assensi Oliva, C. D. Pérez-Segarra, R. W. C. P. Verstappen
2011	J	`jnl`	Parallel direct Poisson solver for discretisations with one Fourier diagonalisable direction. J. Comput. Phys. Rick Borrell, Oriol Lehmkuhl, Francesc Xavier Trias, Assensi Oliva

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.