Safdar Jamil - RankMe

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

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	DEDUPKV: A Space-Efficient and High-Performance Key-Value Store via Fine-Grained Deduplication. ICS Safdar Jamil, Awais Khan, Xubin He, Youngjae Kim
2025	A	`conf`	KVACCEL: A Novel Write Accelerator for LSM-Tree-Based KV Stores with Host-SSD Collaboration. IPDPS Kihwan Kim, Hyunsun Chung, Seonghoon Ahn, Junhyeok Park, Safdar Jamil, Hongsu Byun, Myungcheol Lee, Jinchun Choi, Youngjae Kim
2025	J	`jnl`	Leveraging Pre-Built Catalogs and Object-Level Scheduling to Eliminate I/O Bottlenecks in HPC Environments. IEEE Access Seoyeong Lee, Junghwan Park, Yoochan Kim, Safdar Jamil, Awais Khan, Seung Woo Son, Jae-Kook Lee, Do-Sik An, Taeyoung Hong, Youngjae Kim
2024	J	`jnl`	A Host-SSD Collaborative Write Accelerator for LSM-Tree-Based Key-Value Stores. CoRR Kihwan Kim, Hyunsun Chung, Seonghoon Ahn, Junhyeok Park, Safdar Jamil, Hongsu Byun, Myungcheol Lee, Jinchun Choi, Youngjae Kim
2024	J	`jnl`	An Analytical Model-based Capacity Planning Approach for Building CSD-based Storage Systems. ACM Trans. Embed. Comput. Syst. Hongsu Byun, Safdar Jamil, Jungwook Han, Sungyong Park, Myungcheol Lee, Changsoo Kim, Beongjun Choi, Youngjae Kim
2024	J	`jnl`	Correction: Scalable NUMA-aware persistent B Clust. Comput. Safdar Jamil, Abdul Salam, Awais Khan, Bernd Burgstaller, Sung-Soon Park, Youngjae Kim
2024	J	`jnl`	Efficient Data Placement in Deduplication Enabled ZenFS via CRC-Based Prediction. IEEE Access Safdar Jamil, Joseph Ro, Jooyoung Hwang, Youngjae Kim
2024	B	`conf`	Towards A Unified Garbage Collection Strategy in ZNS Key-Value Store File Systems Using Same-Victim GC. MASCOTS Hamin Hwangbo, Joseph Ro, Sungjin Byeon, Safdar Jamil, Jun Young Han, Jooyoung Hwang, Youngjae Kim
2023	—	`conf`	A Free-Space Adaptive Runtime Zone-Reset Algorithm for Enhanced ZNS Efficiency. HotStorage Sungjin Byeon, Joseph Ro, Safdar Jamil, Jeong-Uk Kang, Youngjae Kim
2023	J	`jnl`	An Analytical Model-based Capacity Planning Approach for Building CSD-based Storage Systems. CoRR Hongsu Byun, Safdar Jamil, Jungwook Han, Sungyong Park, Myungcheol Lee, Changsoo Kim, Beongjun Choi, Youngjae Kim
2023	Misc	`conf`	MFence: Defending Against Memory Access Interference in a Disaggregated Cloud Memory Platform. SAC Jinhoon Lee, Yeonwoo Jung, Suyeon Lee, Safdar Jamil, Sungyong Park, Kwangwon Koh, Hongyeon Kim, Youngjae Kim, Kangho Kim
2023	J	`jnl`	Scalable NUMA-aware persistent B Clust. Comput. Safdar Jamil, Abdul Salam, Awais Khan, Bernd Burgstaller, Sung-Soon Park, Youngjae Kim
2022	—	`conf`	DenKv: Addressing Design Trade-offs of Key-value Stores for Scientific Applications. PDSW@SC Safdar Jamil, Awais Khan, Kihyun Kim, Jae-Kook Lee, Dosik An, Taeyoung Hong, Sarp Oral, Youngjae Kim
2022	J	`jnl`	Future-Based Persistent Spatial Data Structure for NVM-Based Manycore Machines. IEEE Access Abdul Salam, Safdar Jamil, Sungwon Jung, Sung-Soon Park, Youngjae Kim
2021	J	`jnl`	Parallelizing Shared File I/O Operations of NVM File System for Manycore Servers. IEEE Access June-Hyung Kim, Youngjae Kim, Safdar Jamil, Chang-Gyu Lee, Sungyong Park
2021	—	`conf`	Towards Scalable Manycore-Aware Persistent B+- Trees for Efficient Indexing in Cloud Environments. ACSOS-C Safdar Jamil, Awais Khan, Bernd Burastaller, Youngjae Kim
2020	B	`conf`	A NUMA-aware NVM File System Design for Manycore Server Applications. MASCOTS June-Hyung Kim, Youngjae Kim, Safdar Jamil, Sungyong Park
2020	J	`jnl`	Optimizing Heap Memory Object Placement in the Hybrid Memory System With Energy Constraints. IEEE Access Taeuk Kim, Safdar Jamil, Joongeon Park, Youngjae Kim
2020	J	`jnl`	Optimizing Placement of Heap Memory Objects in Energy-Constrained Hybrid Memory Systems. CoRR Taeuk Kim, Safdar Jamil, Joongeon Park, Youngjae Kim
2020	—	`conf`	ScaleML: Machine Learning based Heap Memory Object Scaling Prediction. NVMSA Joongeon Park, Safdar Jamil, Awais Khan, SangKeun Lee, Youngjae Kim

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.