Daniel Bochen Tan

14 papers A* 5A 3Journal 5Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Assessing Quantum Layout Synthesis Tools via Known Optimal-SWAP Cost Benchmarks. DAC Shuohao Ping, Wan-Hsuan Lin, Daniel Bochen Tan, Jason Cong
2025	—	`conf`	Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling. ASP-DAC Daniel Bochen Tan, Wan-Hsuan Lin, Jason Cong
2025	A*	`conf`	Reuse-Aware Compilation for Zoned Quantum Architectures Based on Neutral Atoms. HPCA Wan-Hsuan Lin, Daniel Bochen Tan, Jason Cong
2024	A*	`conf`	A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing. ISCA Daniel Bochen Tan, Murphy Yuezhen Niu, Craig Gidney
2024	J	`jnl`	A SAT Scalpel for Lattice Surgery: Representation and Synthesis of Subroutines for Surface-Code Fault-Tolerant Quantum Computing. CoRR Daniel Bochen Tan, Murphy Yuezhen Niu, Craig Gidney
2024	A*	`conf`	Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. ISCA Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han
2024	J	`jnl`	Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling. CoRR Daniel Bochen Tan, Wan-Hsuan Lin, Jason Cong
2024	J	`jnl`	Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors. Quantum Daniel Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong
2024	A	`conf`	Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization. DATE Daniel Bochen Tan, Shuohao Ping, Jason Cong
2024	J	`jnl`	Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization. CoRR Daniel Bochen Tan, Shuohao Ping, Jason Cong
2024	A	`conf`	GNN-Based Performance Prediction of Quantum Optimization of Maximum Independent Set. ICCAD Atefeh Sohrabizadeh, Wan-Hsuan Lin, Daniel Bochen Tan, Madelyn Cain, Sheng-Tao Wang, Mikhail D. Lukin, Jason Cong
2024	A*	`conf`	Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. DAC Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
2024	A	`conf`	Quantum State Preparation Circuit Optimization Exploiting Don't Cares. ICCAD Hanyu Wang, Daniel Bochen Tan, Jason Cong
2023	J	`jnl`	Compiling Quantum Circuits for Dynamically Field-Programmable Neutral Atoms Array Processors. CoRR Daniel Bochen Tan, Dolev Bluvstein, Mikhail D. Lukin, Jason Cong

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.