Behrang Shafei

28 papers A* 5Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. ICML Toby Boyne, Jose Pablo Folch, Robert M. Lee, Behrang Shafei, Ruth Misener
2025	J	`jnl`	BARK: A Fully Bayesian Tree Kernel for Black-box Optimization. CoRR Toby Boyne, Jose Pablo Folch, Robert M. Lee, Behrang Shafei, Ruth Misener
2025	J	`jnl`	BoFire: Bayesian Optimization Framework Intended for Real Experiments. J. Mach. Learn. Res. Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball, Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, Wagner Steuer Costa, David Walz, Niklas Wulkow, Behrang Shafei
2025	J	`jnl`	Multiobjective Optimization Using the R2 Utility. SIAM Rev. Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2025	J	`jnl`	Scalarisation-based risk concepts for robust multi-objective optimisation. Eur. J. Oper. Res. Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2025	J	`jnl`	System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. Trans. Mach. Learn. Res. Jixiang Qing, Rebecca D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener
2024	J	`jnl`	BoFire: Bayesian Optimization Framework Intended for Real Experiments. CoRR Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball, Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Wagner Steuer Costa, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, David Walz, Niklas Wulkow, Behrang Shafei
2024	J	`jnl`	Dependence in constrained Bayesian optimization. Optim. Lett. Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Ruth Misener
2024	J	`jnl`	Random Pareto front surfaces. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2024	J	`jnl`	Scalarisation-based risk concepts for robust multi-objective optimisation. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2024	J	`jnl`	System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. CoRR Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener
2024	A*	`conf`	Transition Constrained Bayesian Optimization via Markov Decision Processes. NeurIPS Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmir Mutny
2024	J	`jnl`	Transition Constrained Bayesian Optimization via Markov Decision Processes. CoRR Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný
2023	J	`jnl`	Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization. Comput. Chem. Eng. Jose Pablo Folch, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2023	J	`jnl`	Multi-Objective Optimization Using the R2 Utility. CoRR Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei
2023	J	`jnl`	Practical Path-based Bayesian Optimization. CoRR Jose Pablo Folch, James Odgers, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	J	`jnl`	Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization. CoRR Jose Pablo Folch, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	A*	`conf`	Joint Entropy Search for Multi-Objective Bayesian Optimization. NeurIPS Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei
2022	J	`jnl`	Joint Entropy Search for Multi-objective Bayesian Optimization. CoRR Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei
2022	A*	`conf`	SnAKe: Bayesian Optimization with Pathwise Exploration. NeurIPS Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	J	`jnl`	SnAKe: Bayesian Optimization with Pathwise Exploration. CoRR Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
2022	A*	`conf`	Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. NeurIPS Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener
2022	J	`jnl`	Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. CoRR Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener
2014	J	`jnl`	Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods. J. Vis. Commun. Image Represent. Sung Ha Kang, Behrang Shafei, Gabriele Steidl
2013	J	`jnl`	Homogeneous Penalizers and Constraints in Convex Image Restoration. J. Math. Imaging Vis. René Ciak, Behrang Shafei, Gabriele Steidl
2013	—	`—`	Multi-class image segmentation via convex and biconvex optimization. Behrang Shafei
2012	J	`jnl`	A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. Pattern Recognit. Yanyan He, M. Yousuff Hussaini, Jianwei Ma, Behrang Shafei, Gabriele Steidl
2012	J	`jnl`	Segmentation of images with separating layers by fuzzy c-means and convex optimization. J. Vis. Commun. Image Represent. Behrang Shafei, Gabriele Steidl

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.