Daniel Mendoza

17 papers A* 1A 2B 1C 2Journal 7Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FHIR Granular Sensitive Data Segmentation. Appl. Clin. Inform. Preston Lee, Daniel Mendoza, Martha Kaiser, Eric Lott, Gagandeep Singh, Adela Grando
2025	J	`jnl`	Ingredient-based method to create medication lists and support granular data segmentation. Health Informatics J. Daniel Mendoza, Isca Amanda, Lin Zhao, Darwyn Chern, María Adela Grando
2025	J	`jnl`	VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation. CoRR Anjiang Wei, Huanmi Tan, Tarun Suresh, Daniel Mendoza, Thiago S. F. X. Teixeira, Ke Wang, Caroline Trippel, Alex Aiken
2024	A*	`conf`	MGit: A Model Versioning and Management System. ICML Wei Hao, Daniel Mendoza, Rafael Mendes, Deepak Narayanan, Amar Phanishayee, Asaf Cidon, Junfeng Yang
2024	A	`conf`	Model Selection for Latency-Critical Inference Serving. EuroSys Daniel Mendoza, Francisco Romero, Caroline Trippel
2024	C	`conf`	Stability Impacts of Sandia Frequency Shift Anti-Islanding on a Grid-Connected Inverter. IECON Daniel Mendoza, Maryam Khanbaghi
2024	B	`conf`	Translating Natural Language to Temporal Logics with Large Language Models and Model Checkers. FMCAD Daniel Mendoza, Christopher Hahn, Caroline Trippel
2023	J	`jnl`	MGit: A Model Versioning and Management System. CoRR Wei Hao, Daniel Mendoza, Rafael da Silva, Deepak Narayanan, Amar Phanishayee
2023	—	`conf`	nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models. CAV (2) Matthias Cosler, Christopher Hahn, Daniel Mendoza, Frederik Schmitt, Caroline Trippel
2023	J	`jnl`	nl2spec: Interactively Translating Unstructured Natural Language to Temporal Logics with Large Language Models. CoRR Matthias Cosler, Christopher Hahn, Daniel Mendoza, Frederik Schmitt, Caroline Trippel
2022	—	`conf`	A Transfer Learning Model for Polarity in Touristic Reviews in Spanish from TripAdvisor. IberLEF@SEPLN Daniel Mendoza, Jorge Ramos-Zavaleta, Adrian Rodríguez
2022	J	`jnl`	Dynamic Network Adaptation at Inference. CoRR Daniel Mendoza, Caroline Trippel
2021	—	`conf`	Interference-Aware Scheduling for Inference Serving. EuroMLSys@EuroSys Daniel Mendoza, Francisco Romero, Qian Li, Neeraja J. Yadwadkar, Christos Kozyrakis
2021	—	`conf`	Pushing the Limits of Parallel Discrete Event Simulation for SystemC. A Journey of Embedded and Cyber-Physical Systems Rainer Dömer, Zhongqi Cheng, Daniel Mendoza, Emad Malekzadeh Arasteh
2020	A	`conf`	Lazy Event Prediction using Defining Trees and Schedule Bypass for Out-of-Order PDES. DATE Daniel Mendoza, Zhongqi Cheng, Emad Malekzadeh Arasteh, Rainer Dömer
2020	J	`jnl`	Local rainfall modelling based on global climate information: A data-based approach. Environ. Model. Softw. Daniel Mendoza, Esteban P. Samaniego, Diego E. Mora, Mauricio Espinoza, Esteban A. Pacheco, Alex M. Avilés
2017	C	`conf`	A robust video identification framework using perceptual image hashing. CLEI Francisco Vega, Jose Medina, Daniel Mendoza, Victor Saquicela, Mauricio Espinoza

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.