Dana Moukheiber

11 papers A* 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health. CoRR Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Hyung-Chul Lee
2024	J	`jnl`	DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. CoRR Kuan-Ting Kuo, Dana Moukheiber, Sebastián Cajas Ordonez, David S. Restrepo, Atika Rahman Paddo, Tsung-Yu Chen, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Saptarshi Purkayastha, Po-Chih Kuo, Leo Anthony Celi
2024	J	`jnl`	Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities. CoRR Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Mingchen Gao
2024	A*	`conf`	Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health. IJCAI Mira Moukheiber, Lama Moukheiber, Dana Moukheiber, Hyung-Chul Lee
2023	J	`jnl`	Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. Int. J. Medical Informatics Ryan Wang, Li-Ching Chen, Lama Moukheiber, Kenneth Patrick Seastedt, Mira Moukheiber, Dana Moukheiber, Zachary Zaiman, Sulaiman Moukheiber, Tess Litchman, Hari Trivedi, Rebecca Steinberg, Judy W. Gichoya, Po-Chih Kuo, Leo A. Celi
2022	J	`jnl`	Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies. CoRR Ryan Wang, Li-Ching Chen, Lama Moukheiber, Mira Moukheiber, Dana Moukheiber, Zach Zaiman, Sulaiman Moukheiber, Tess Litchman, Kenneth Patrick Seastedt, Hari Trivedi, Rebecca Steinberg, Po-Chih Kuo, Judy Gichoya, Leo Anthony Celi
2022	—	`conf`	Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. DALI@MICCAI Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao
2022	J	`jnl`	Learning to Ask Like a Physician. CoRR Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
2021	—	`conf`	Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. MLMI@MICCAI Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao
2021	J	`jnl`	Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. CoRR Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao
2021	J	`jnl`	LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation. CoRR Mohammad Abuzar Shaikh, Zhanghexuan Ji, Dana Moukheiber, Sargur N. Srihari, Mingchen Gao

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.