Paul Landes

11 papers B 1Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning. CoRR John Wu, Yongda Fan, Zhenbang Wu, Paul Landes, Eric Schrock, Sayeed Sajjad Razin, Arjun Chatterjee, Naveen Baskaran, Joshua Steier, Andrea Fitzpatrick, Bilal Arif, Rian Atri, Jathurshan Pradeepkumar, Siddhartha Laghuvarapu, Junyi Gao, Adam R. Cross, Jimeng Sun
2026	J	`jnl`	Social Determinants of Health Prediction for ICD-9 Code with Reasoning Models. CoRR Sharim Khan, Paul Landes, Adam Cross, Jimeng Sun
2025	J	`jnl`	Abstract Meaning Representation for Hospital Discharge Summarization. CoRR Paul Landes, Sitara Rao, Aaron Chaise, Barbara Di Eugenio
2025	J	`jnl`	Enhancing Clinical Models with Pseudo Data for De-identification. CoRR Paul Landes, Aaron Chaise, Tarak Nath Nandi, Ravi K. Madduri
2025	J	`jnl`	Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction. CoRR Paul Landes, Jimeng Sun, Adam Cross
2024	—	`conf`	CALAMR: Component ALignment for Abstract Meaning Representation. LREC/COLING Paul Landes, Barbara Di Eugenio
2024	—	`conf`	RoBERTa Low Resource Fine Tuning for Sentiment Analysis in Albanian. LREC/COLING Krenare Pireva Nuci, Paul Landes, Barbara Di Eugenio
2023	—	`conf`	Hospital Discharge Summarization Data Provenance. BioNLP@ACL Paul Landes, Aaron Chaise, Kunal Patel, Sean S. Huang, Barbara Di Eugenio
2022	B	`conf`	A New Public Corpus for Clinical Section Identification: MedSecId. COLING Paul Landes, Kunal Patel, Sean S. Huang, Adam Webb, Barbara Di Eugenio, Cornelia Caragea
2021	J	`jnl`	DeepZensols: Deep Natural Language Processing Framework. CoRR Paul Landes, Barbara Di Eugenio, Cornelia Caragea
2018	J	`jnl`	A Supervised Approach To The Interpretation Of Imperative To-Do Lists. CoRR Paul Landes, Barbara Di Eugenio

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.