Zelin Tong

11 papers A 4B 3Misc 1Journal 2Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Asymptotically Optimal Multiprocessor Real-Time Locking for non-JLFP Scheduling. RTAS Zelin Tong, Syed W. Ali, James H. Anderson
2025	A	`conf`	Ros ${ }^{\text {RT }}$: Enabling Flexible Scheduling in Ros 2. RTSS Sizhe Liu, Rohan Wagle, Shareef Ahmed, Zelin Tong, James H. Anderson
2024	—	`conf`	Budgeting Processing Graphs Under Restricted Parallelism. SIES Zelin Tong, James H. Anderson
2024	J	`jnl`	Predictable GPU Sharing in Component-Based Real-Time Systems (Artifact). Dagstuhl Artifacts Ser. Syed W. Ali, Zelin Tong, Joseph Goh, James H. Anderson
2024	B	`conf`	Predictable GPU Sharing in Component-Based Real-Time Systems. ECRTS Syed W. Ali, Zelin Tong, Joseph Goh, James H. Anderson
2023	A	`conf`	Holistically Budgeting Processing Graphs. RTSS Zelin Tong, Shareef Ahmed, James H. Anderson
2023	B	`conf`	Want Predictable GPU Execution? Beware SMIs! ICPADS Rohan Wagle, Zelin Tong, Richard L. Sites, James H. Anderson
2022	B	`conf`	Overrun-Resilient Multiprocessor Real-Time Locking. ECRTS Zelin Tong, Shareef Ahmed, James H. Anderson
2021	J	`jnl`	Statically optimal dynamic soft real-time semi-partitioned scheduling. Real Time Syst. Clara Hobbs, Zelin Tong, Joshua Bakita, James H. Anderson
2021	A	`conf`	TimeWall: Enabling Time Partitioning for Real-Time Multicore+Accelerator Platforms. RTSS Tanya Amert, Zelin Tong, Sergey Voronov, Joshua Bakita, F. Donelson Smith, James H. Anderson
2019	Misc	`conf`	Optimal soft real-time semi-partitioned scheduling made simple (and dynamic). RTNS Clara Hobbs, Zelin Tong, James H. Anderson

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.