Federico Serva

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MUMUCD: A Multimodal Multiclass Change Detection Dataset. IEEE Geosci. Remote. Sens. Lett. Federico Serva, Alessandro Sebastianelli, Bertrand Le Saux, Federico Ricciuti
2024	J	`jnl`	IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI. CoRR Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann
2024	—	`conf`	Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting. CVPR Workshops Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider
2024	J	`jnl`	Implicit Assimilation of Sparse In Situ Data for Dense & Global Storm Surge Forecasting. CoRR Patrick Ebel, Brandon Victor, Peter Naylor, Gabriele Meoni, Federico Serva, Rochelle Schneider
2024	J	`jnl`	Polar Stratospheric Cloud Observations at Concordia Station by Remotely Controlled Lidar Observatory. Remote. Sens. Luca Di Liberto, Francesco Colao, Federico Serva, Alessandro Bracci, Francesco Cairo, Marcel Snels
2024	J	`jnl`	Unlocking the Use of Raw Multispectral Earth Observation Imagery for Onboard Artificial Intelligence. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Gabriele Meoni, Roberto Del Prete, Federico Serva, Alix De Beussche, Olivier Colin, Nicolas Longépé
2023	J	`jnl`	Deep-Learning-based Change Detection with Spaceborne Hyperspectral PRISMA data. CoRR Juan Francisco Amieva, A. Austoni, Maria A. Brovelli, Luigi Ansalone, Peter Naylor, Federico Serva, Bertrand Le Saux
2023	J	`jnl`	IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision. CoRR Kai Jeggle, Mikolaj Czerkawski, Federico Serva, Bertrand Le Saux, David Neubauer, Ulrike Lohmann
2023	J	`jnl`	THRawS: A Novel Dataset for Thermal Hotspots Detection in Raw Sentinel-2 Data. CoRR Gabriele Meoni, Roberto Del Prete, Federico Serva, Alix De Beussche, Olivier Colin, Nicolas Longépé
2022	J	`jnl`	Quality Management Framework for Climate Datasets. Data Sci. J. Carlo Lacagnina, Francisco Doblas-Reyes, Gilles Larnicol, Carlo Buontempo, André Obregón, Montserrat Costa-Surós, Daniel San Martín, Pierre-Antoine Bretonnière, Suraj D. Polade, Vanya Romanova, Davide Putero, Federico Serva, Alba Llabrés-Brustenga, Antonio Pérez, Davide Cavaliere, Olivier Membrive, Christian Steger, Núria Pérez-Zanón, Paolo Cristofanelli, Fabio Madonna, Marco Rosoldi, Aku Riihelä, Markel García Díez
2021	—	`conf`	Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts. NeurIPS (Competition and Demos) Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil

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.