Zaid Qureshi - RankMe

16 papers A* 2Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Asynchrony and GPUs: Bridging this Dichotomy for I/O with AGIO. ASPLOS (2) Jihoon Han, Anand Sivasubramaniam, Chia-Hao Chang, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2024	J	`jnl`	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses. Proc. VLDB Endow. Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2024	—	`conf`	GMT: GPU Orchestrated Memory Tiering for the Big Data Era. ASPLOS (3) Chia-Hao Chang, Jihoon Han, Anand Sivasubramaniam, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2024	J	`jnl`	LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme. CoRR Jeongmin Brian Park, Kun Wu, Vikram Sharma Mailthody, Zaid Qureshi, Scott A. Mahlke, Wen-mei W. Hwu
2023	J	`jnl`	Accelerating Sampling and Aggregation Operations in GNN Frameworks with GPU Initiated Direct Storage Accesses. CoRR Jeongmin Brian Park, Vikram Sharma Mailthody, Zaid Qureshi, Wen-Mei Hwu
2023	J	`jnl`	CODAG: Characterizing and Optimizing Decompression Algorithms for GPUs. CoRR Jeongmin Brian Park, Zaid Qureshi, Vikram S. Mailthody, Andrew Gacek, Shunfan Shao, Mohammad Almasri, Isaac Gelado, Jinjun Xiong, Chris J. Newburn, I-Hsin Chung, Michael Garland, Nikolay Sakharnykh, Wen-mei W. Hwu
2023	—	`conf`	GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture. ASPLOS (2) Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-mei W. Hwu
2022	J	`jnl`	BaM: A Case for Enabling Fine-grain High Throughput GPU-Orchestrated Access to Storage. CoRR Zaid Qureshi, Vikram Sharma Mailthody, Isaac Gelado, Seungwon Min, Amna Masood, Jeongmin Brian Park, Jinjun Xiong, Chris J. Newburn, Dmitri Vainbrand, I-Hsin Chung, Michael Garland, William J. Dally, Wen-mei W. Hwu
2020	J	`jnl`	EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. CoRR Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-mei W. Hwu
2020	J	`jnl`	EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs. Proc. VLDB Endow. Seungwon Min, Vikram Sharma Mailthody, Zaid Qureshi, Jinjun Xiong, Eiman Ebrahimi, Wen-Mei Hwu
2020	J	`jnl`	Tearing Down the Memory Wall. CoRR Zaid Qureshi, Vikram Sharma Mailthody, Seungwon Min, I-Hsin Chung, Jinjun Xiong, Wen-mei W. Hwu
2019	A*	`conf`	DeepStore: In-Storage Acceleration for Intelligent Queries. MICRO Vikram Sharma Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, Simon Garcia De Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei Hwu
2019	A*	`conf`	FlatFlash: Exploiting the Byte-Accessibility of SSDs within a Unified Memory-Storage Hierarchy. ASPLOS Ahmed H. M. O. Abulila, Vikram Sharma Mailthody, Zaid Qureshi, Jian Huang, Nam Sung Kim, Jinjun Xiong, Wen-mei W. Hwu
2019	—	`conf`	Update on Triangle Counting on GPU. HPEC Carl Pearson, Mohammad Almasri, Omer Anjum, Vikram S. Mailthody, Zaid Qureshi, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu
2019	—	`conf`	Update on k-truss Decomposition on GPU. HPEC Mohammad Almasri, Omer Anjum, Carl Pearson, Zaid Qureshi, Vikram S. Mailthody, Rakesh Nagi, Jinjun Xiong, Wen-mei W. Hwu
2018	—	`conf`	Collaborative (CPU + GPU) Algorithms for Triangle Counting and Truss Decomposition. HPEC Vikram S. Mailthody, Ketan Date, Zaid Qureshi, Carl Pearson, Rakesh Nagi, Jinjun Xiong, Wen-Mei Hwu

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.