Zakaria Mehrab

11 papers A* 5A 2C 1Journal 2Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations. AAAI Kazi Ashik Islam, Zakaria Mehrab, Mahantesh M. Halappanavar, Henning S. Mortveit, Sridhar Katragadda, Jon Derek Loftis, Stefan Hoops, Madhav V. Marathe
2025	—	`conf`	Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting. SIGSPATIAL/GIS Kazi Ashik Islam, Zakaria Mehrab, Mahantesh Halappanavar, Henning S. Mortveit, Sridhar Katragadda, Jon Derek Loftis, Madhav V. Marathe
2025	J	`jnl`	Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting. CoRR Kazi Ashik Islam, Zakaria Mehrab, Mahantesh Halappanavar, Henning S. Mortveit, Sridhar Katragadda, Jon Derek Loftis, Madhav V. Marathe
2025	A*	`conf`	Hazard Function Guided Agent-Based Models: A Case Study of Return Migration from Poland to Ukraine. IJCAI Zakaria Mehrab, S. S. Ravi, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan L. Lewis, Henning S. Mortveit, David Leblang, Madhav V. Marathe
2025	A	`conf`	Modeling and Optimizing Agent-Based Model of Conflict-Induced Forced Migration. AAMAS Zakaria Mehrab
2024	A*	`conf`	A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration. AAAI Zakaria Mehrab, Logan Stundal, Srinivasan Venkatramanan, Samarth Swarup, Bryan Leroy Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, Seyed M. Moghadas, David Leblang, Rita R. Colwell, Madhav V. Marathe
2024	A	`conf`	Network Agency: An Agent-based Model of Forced Migration from Ukraine. AAMAS Zakaria Mehrab, Logan Stundal, Samarth Swarup, Srinivasan Venkatramanan, Bryan Lewis, Henning S. Mortveit, Christopher L. Barrett, Abhishek Pandey, Chad R. Wells, Alison P. Galvani, Burton H. Singer, David Leblang, Rita R. Colwell, Madhav V. Marathe
2022	A*	`conf`	Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites. AAAI Zakaria Mehrab, Mandy L. Wilson, Serina Chang, Galen Harrison, Bryan L. Lewis, Alex Telionis, Justin Crow, Dennis Kim, Scott Spillmann, Kate Peters, Jure Leskovec, Madhav V. Marathe
2022	J	`jnl`	Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19. ACM Trans. Spatial Algorithms Syst. Zakaria Mehrab, Aniruddha Adiga, Madhav V. Marathe, Srinivasan Venkatramanan, Samarth Swarup
2021	A*	`conf`	Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling. KDD Serina Chang, Mandy L. Wilson, Bryan L. Lewis, Zakaria Mehrab, Komal K. Dudakiya, Emma Pierson, Pang Wei Koh, Jaline Gerardin, Beth Redbird, David Grusky, Madhav V. Marathe, Jure Leskovec
2018	C	`conf`	Mining Developer Questions about Major Web Frameworks. WEBIST Zakaria Mehrab, Raquib Bin Yousuf, Ibrahim Asadullah Tahmid, Rifat Shahriyar

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.