Ebrahim M. Songhori

31 papers A* 9A 3Misc 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	See it to Place it: Evolving Macro Placements with Vision-Language Models. CoRR Ikechukwu Uchendu, Swati Goel, Karly Hou, Ebrahim M. Songhori, Kuang-Huei Lee, Joe Wenjie Jiang, Vijay Janapa Reddi, Vincent Zhuang
2025	J	`jnl`	A2Perf: Real-World Autonomous Agents Benchmark. CoRR Ikechukwu Uchendu, Jason Jabbour, Korneel Van den Berghe, Joel Runevic, Matthew Stewart, Jeffrey Jian Ma, Srivatsan Krishnan, Izzeddin Gur, Austin Huang, Colton Bishop, Paige Bailey, Wenjie Jiang, Ebrahim M. Songhori, Sergio Guadarrama, Jie Tan, Jordan K. Terry, Aleksandra Faust, Vijay Janapa Reddi
2022	A*	`conf`	A full-stack search technique for domain optimized deep learning accelerators. ASPLOS Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Kartik Prabhu, Quoc V. Le, Anna Goldie, Azalia Mirhoseini
2022	—	`conf`	Scalability and Generalization of Circuit Training for Chip Floorplanning. ISPD Summer Yue, Ebrahim M. Songhori, Joe Wenjie Jiang, Toby Boyd, Anna Goldie, Azalia Mirhoseini, Sergio Guadarrama
2021	J	`jnl`	A Full-stack Accelerator Search Technique for Vision Applications. CoRR Dan Zhang, Safeen Huda, Ebrahim M. Songhori, Quoc V. Le, Anna Goldie, Azalia Mirhoseini
2021	J	`jnl`	A graph placement methodology for fast chip design. Nat. Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe Wenjie Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean
2021	—	`conf`	Delving into Macro Placement with Reinforcement Learning. MLCAD Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan
2021	J	`jnl`	Delving into Macro Placement with Reinforcement Learning. CoRR Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan
2020	J	`jnl`	Chip Placement with Deep Reinforcement Learning. CoRR Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan, Joe W. J. Jiang, Ebrahim M. Songhori, Shen Wang, Young-Joon Lee, Eric Johnson, Omkar Pathak, Sungmin Bae, Azade Nazi, Jiwoo Pak, Andy Tong, Kavya Srinivasa, William Hang, Emre Tuncer, Anand Babu, Quoc V. Le, James Laudon, Richard Ho, Roger Carpenter, Jeff Dean
2019	A*	`conf`	ARM2GC: Succinct Garbled Processor for Secure Computation. DAC Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar
2019	J	`jnl`	ARM2GC: Succinct Garbled Processor for Secure Computation. CoRR Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar
2018	A	`conf`	Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. AsiaCCS M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar
2018	J	`jnl`	Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. CoRR M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar
2018	J	`jnl`	RankMap: A Framework for Distributed Learning From Dense Data Sets. IEEE Trans. Neural Networks Learn. Syst. Azalia Mirhoseini, Eva L. Dyer, Ebrahim M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar
2017	J	`jnl`	ARM2GC: Simple and Efficient Garbled Circuit Framework by Skipping. IACR Cryptol. ePrint Arch. Ebrahim M. Songhori, M. Sadegh Riazi, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar
2017	J	`jnl`	Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. IACR Cryptol. ePrint Arch. M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar
2017	—	`conf`	ExtDict: Extensible Dictionaries for Data- and Platform-Aware Large-Scale Learning. IPDPS Workshops Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar
2017	A*	`conf`	PriSearch: Efficient Search on Private Data. DAC M. Sadegh Riazi, Ebrahim M. Songhori, Farinaz Koushanfar
2017	J	`jnl`	Toward Practical Secure Stable Matching. Proc. Priv. Enhancing Technol. M. Sadegh Riazi, Ebrahim M. Songhori, Ahmad-Reza Sadeghi, Thomas Schneider, Farinaz Koushanfar
2016	J	`jnl`	Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. ACM Trans. Reconfigurable Technol. Syst. Bita Darvish Rouhani, Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar
2016	J	`jnl`	Chime: Checkpointing Long Computations on Interm ittently Energized IoT Devices. IEEE Trans. Multi Scale Comput. Syst. Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar
2016	A*	`conf`	GarbledCPU: a MIPS processor for secure computation in hardware. DAC Ebrahim M. Songhori, Shaza Zeitouni, Ghada Dessouky, Thomas Schneider, Ahmad-Reza Sadeghi, Farinaz Koushanfar
2016	A*	`conf`	Perform-ML: performance optimized machine learning by platform and content aware customization. DAC Azalia Mirhoseini, Bita Darvish Rouhani, Ebrahim M. Songhori, Farinaz Koushanfar
2015	A	`conf`	AHEAD: automated framework for hardware accelerated iterative data analysis. DATE Ebrahim M. Songhori, Azalia Mirhoseini, Xuyang Lu, Farinaz Koushanfar
2015	A*	`conf`	Compacting privacy-preserving k-nearest neighbor search using logic synthesis. DAC Ebrahim M. Songhori, Siam U. Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar
2015	A*	`conf`	Flexible Transformations For Learning Big Data. SIGMETRICS Azalia Mirhoseini, Ebrahim M. Songhori, Bita Darvish Rouhani, Farinaz Koushanfar
2015	J	`jnl`	RankMap: A Platform-Aware Framework for Distributed Learning from Dense Datasets. CoRR Azalia Mirhoseini, Eva L. Dyer, Ebrahim M. Songhori, Richard G. Baraniuk, Farinaz Koushanfar
2015	Misc	`conf`	SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA. FCCM Bita Darvish Rouhani, Ebrahim M. Songhori, Azalia Mirhoseini, Farinaz Koushanfar
2015	A*	`conf`	TinyGarble: Highly Compressed and Scalable Sequential Garbled Circuits. IEEE Symposium on Security and Privacy Ebrahim M. Songhori, Siam U. Hussain, Ahmad-Reza Sadeghi, Thomas Schneider, Farinaz Koushanfar
2013	A	`conf`	Automated checkpointing for enabling intensive applications on energy harvesting devices. ISLPED Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar
2013	A*	`conf`	Idetic: A high-level synthesis approach for enabling long computations on transiently-powered ASICs. PerCom Azalia Mirhoseini, Ebrahim M. Songhori, Farinaz Koushanfar

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.