Salar Rahili

14 papers C 3Journal 6Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Correctness-Guaranteed Code Generation via Constrained Decoding. CoRR Lingxiao Li, Salar Rahili, Yiwei Zhao
2021	J	`jnl`	Heart Rate and CGM Feature Representation Diabetes Detection From Heart Rate: Learning Joint Features of Heart Rate and Continuous Glucose Monitors Yields Better Representations. IEEE Access Hootan Rashtian, Solmaz Shariat Torbaghan, Salar Rahili, Michael P. Snyder, Nima Aghaeepour
2019	J	`jnl`	Distributed Average Tracking of Physical Second-Order Agents With Heterogeneous Unknown Nonlinear Dynamics Without Constraint on Input Signals. IEEE Trans. Autom. Control. Sheida Ghapani, Salar Rahili, Wei Ren
2018	J	`jnl`	Distributed Coverage Control of Mobile Sensor Networks in Unknown Environment Using Game Theory: Algorithms and Experiments. IEEE Trans. Mob. Comput. Salar Rahili, Jiahui Lu, Wei Ren, Ubaid M. Al-Saggaf
2018	—	`conf`	Nonlinear Control of Autonomous Flying Cars with Wings and Distributed Electric Propulsion. CDC Xichen Shi, Kyunam Kim, Salar Rahili, Soon-Jo Chung
2018	—	`conf`	Optimal Routing for Autonomous Taxis using Distributed Reinforcement Learning. ICDM Workshops Salar Rahili, Benjamin Rivière, Suzanne Olivier, Soon-Jo Chung
2017	J	`jnl`	Distributed Continuous-Time Convex Optimization With Time-Varying Cost Functions. IEEE Trans. Autom. Control. Salar Rahili, Wei Ren
2017	C	`conf`	Heterogeneous distributed average tracking using nonsmooth algorithms. ACC Salar Rahili, Wei Ren
2016	—	`—`	Distributed Optimization in Multi-Agent Systems: Game Theory Based Sensor Coverage and Continuous-Time Convex Optimization. Salar Rahili
2016	C	`conf`	Distributed average tracking for second-order agents with nonlinear dynamics. ACC Sheida Ghapani, Salar Rahili, Wei Ren
2015	C	`conf`	Distributed convex optimization of time-varying cost functions for double-integrator systems using nonsmooth algorithms. ACC Salar Rahili, Wei Ren, Peng Lin
2015	—	`conf`	Distributed convex optimization of time-varying cost functions with swarm tracking behavior for continuous-time dynamics. CDC Salar Rahili, Wei Ren, Sheida Ghapani
2014	—	`conf`	Game theory control solution for sensor coverage problem in unknown environment. CDC Salar Rahili, Wei Ren
2012	J	`jnl`	Intelligent Selection of Calibration Points Using a Modified Progressive Polynomial Method. IEEE Trans. Instrum. Meas. Salar Rahili, Jafar Ghaisari, Amirhosein Golfar

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.