Panayiotis Petousis

16 papers Misc 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury. CoRR David Gordon, Panayiotis Petousis, Susanne B. Nicholas, Alex A. T. Bui
2025	J	`jnl`	Improving Drug Identification in Overdose Death Surveillance using Large Language Models. CoRR Arthur J. Funnell, Panayiotis Petousis, Fabrice Harel-Canada, Ruby Romero, Alex A. T. Bui, Adam Koncsol, Hritika Chaturvedi, Chelsea Shover, David Goodman-Meza
2024	J	`jnl`	Testing Causal Explanations: A Case Study for Understanding the Effect of Interventions on Chronic Kidney Disease. CoRR Panayiotis Petousis, David Gordon, Susanne B. Nicholas, Alex A. T. Bui
2024	J	`jnl`	Towards a framework for interoperability and reproducibility of predictive models. J. Biomed. Informatics Al Rahrooh, Anders O. Garlid, Kelly Bartlett, Warren Coons, Panayiotis Petousis, William Hsu, Alex A. T. Bui
2023	J	`jnl`	Automated Dynamic Bayesian Networks for Predicting Acute Kidney Injury Before Onset. CoRR David Gordon, Panayiotis Petousis, Anders O. Garlid, Keith C. Norris, Katherine R. Tuttle, Susanne B. Nicholas, Alex A. T. Bui
2021	—	`conf`	Autopopulus: A Novel Framework for Autoencoder Imputation on Large Clinical Datasets. EMBC Davina Zamanzadeh, Panayiotis Petousis, Tyler A. Davis, Susanne B. Nicholas, Keith C. Norris, Katherine R. Tuttle, Alex A. T. Bui, Majid Sarrafzadeh
2021	J	`jnl`	TSI-GNN: Extending Graph Neural Networks to Handle Missing Data in Temporal Settings. Frontiers Big Data David Gordon, Panayiotis Petousis, Henry W. Zheng, Davina Zamanzadeh, Alex A. T. Bui
2019	—	`—`	Optimizing cancer screening with POMDPs. Panayiotis Petousis
2019	J	`jnl`	Using Sequential Decision Making to Improve Lung Cancer Screening Performance. IEEE Access Panayiotis Petousis, Audrey Winter, William Speier, Denise R. Aberle, William Hsu, Alex A. T. Bui
2018	Misc	`conf`	Evaluating the Impact of Uncertainty on Risk Prediction: Towards More Robust Prediction Models. AMIA Panayiotis Petousis, Arash Naeim, Ali Mosleh, William Hsu
2018	—	`conf`	Generating Reward Functions Using IRL Towards Individualized Cancer Screening. AIH@IJCAI (Revised Selected Papers) Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui
2018	—	`conf`	Generating reward functions using IRL towards individualized cancer screening. AIH@IJCAI Panayiotis Petousis, Simon X. Han, William Hsu, Alex A. T. Bui
2017	J	`jnl`	A Bayesian model for estimating multi-state disease progression. Comput. Biol. Medicine Shiwen Shen, Simon X. Han, Panayiotis Petousis, Robert E. Weiss, Frank Meng, Alex A. T. Bui, William Hsu
2017	—	`conf`	A Web-based Platform for Evaluating and Disseminating Predictive Models. CRI William Hsu, Frank Meng, Panayiotis Petousis, Weixia Yu, Alex A. T. Bui
2016	J	`jnl`	Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network. Artif. Intell. Medicine Panayiotis Petousis, Simon X. Han, Denise R. Aberle, Alex A. T. Bui
2015	Misc	`conf`	A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer. AMIA Shiwen Shen, Simon X. Han, Panayiotis Petousis, Frank Meng, William Hsu, Alex A. T. Bui

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.