Samuel Harford

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Improvement of railroad maintenance program: predicting the degradation level of railroad timber ties through the application of the random forest model. Discov. Artif. Intell. Faeze Khademi, Houshang Darabi, Daniel Leeb, Samuel Harford, Vipul Dhariwal
2022	J	`jnl`	A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow. BMC Medical Informatics Decis. Mak. Samuel Harford, Marina Del Rios, Sara Heinert, Joseph Weber, Eddie Markul, Katie Tataris, Teri Campbell, Terry L. Vanden Hoek, Houshang Darabi
2022	J	`jnl`	A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients. BMC Medical Informatics Decis. Mak. Maryam Pishgar, Samuel Harford, Julian Theis, William L. Galanter, Jorge Mario Rodríguez-Fernández, L. H. Chaisson, Y. Zhang, A. Trotter, Karl M. Kochendorfer, A. Boppana, Houshang Darabi
2021	J	`jnl`	Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders. IEEE CAA J. Autom. Sinica Samuel Harford, Fazle Karim, Houshang Darabi
2021	J	`jnl`	Improving Time Series Classification Algorithms Using Octave-Convolutional Layers. CoRR Samuel Harford, Fazle Karim, Houshang Darabi
2021	J	`jnl`	Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models. BMC Medical Informatics Decis. Mak. William L. Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi
2020	J	`jnl`	Adversarial Attacks on Multivariate Time Series. CoRR Samuel Harford, Fazle Karim, Houshang Darabi
2019	—	`conf`	A Framework for Accurate Time Series Classification Based on Partial Observation. CASE Fazle Karim, Houshang Darabi, Samuel Harford, Shun Chen, Anooshiravan Sharabiani
2019	J	`jnl`	Multivariate LSTM-FCNs for time series classification. Neural Networks Fazle Karim, Somshubra Majumdar, Houshang Darabi, Samuel Harford
2018	J	`jnl`	Asymptotic Dynamic Time Warping calculation with utilizing value repetition. Knowl. Inf. Syst. Anooshiravan Sharabiani, Houshang Darabi, Samuel Harford, Elnaz Douzali, Fazle Karim, Hereford Johnson, Shun Chen
2018	J	`jnl`	Multivariate LSTM-FCNs for Time Series Classification. CoRR Fazle Karim, Somshubra Majumdar, Houshang Darabi, Samuel Harford
2017	J	`jnl`	Efficient Classification of Long Time Series by 3-D Dynamic Time Warping. IEEE Trans. Syst. Man Cybern. Syst. Anooshiravan Sharabiani, Houshang Darabi, Ashkan Rezaei, Samuel Harford, Hereford Johnson, Fazle Karim

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.