Salman Rahman - RankMe

14 papers A* 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reward Engineering for Reinforcement Learning in Software Tasks. CoRR Md Rayhanul Masud, Azmine Toushik Wasi, Salman Rahman, Md. Rizwan Parvez
2025	J	`jnl`	AI Debate Aids Assessment of Controversial Claims. CoRR Salman Rahman, Sheriff Issaka, Ashima Suvarna, Genglin Liu, James Shiffer, Jaeyoung Lee, Md. Rizwan Parvez, Hamid Palangi, Shi Feng, Nanyun Peng, Yejin Choi, Julian Michael, Liwei Jiang, Saadia Gabriel
2025	A*	`conf`	MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. EMNLP Genglin Liu, Vivian T. Le, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel
2025	J	`jnl`	MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations. CoRR Genglin Liu, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel
2025	J	`jnl`	SPARK: Stepwise Process-Aware Rewards for Reference-Free Reinforcement Learning. CoRR Salman Rahman, Sruthi Gorantla, Arpit Gupta, Swastik Roy, Nanyun Peng, Yang Liu
2025	J	`jnl`	X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents. CoRR Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md. Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel
2025	J	`jnl`	Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team. CoRR Md. Tanzib Hosain, Salman Rahman, Md. Kishor Morol, Md. Rizwan Parvez
2024	J	`jnl`	Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model. CoRR Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara
2024	J	`jnl`	Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge. CoRR Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara
2024	—	`conf`	Understanding Disparities in Post Hoc Machine Learning Explanation. FAccT Vishwali Mhasawade, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara
2024	J	`jnl`	Understanding Disparities in Post Hoc Machine Learning Explanation. CoRR Vishwali Mhasawade, Salman Rahman, Zoe Haskell-Craig, Rumi Chunara
2017	—	`conf`	EARS-CTRL: Generating Controllers for Dummies. MoDELS (Satellite Events) Levi Lúcio, Salman Rahman, Saad bin Abid, Alistair Mavin
2017	—	`conf`	Just Formal Enough? Automated Analysis of EARS Requirements. NFM Levi Lúcio, Salman Rahman, Chih-Hong Cheng, Alistair Mavin
2017	—	`conf`	Process-Aware Model-driven Development Environments. MoDELS (Satellite Events) Levi Lúcio, Saad bin Abid, Salman Rahman, Vincent Aravantinos, Ralf Kuestner, Eduard Harwardt

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.