Febin Sunny - RankMe

33 papers A* 2A 4Misc 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search. CoRR Amin Shafiee, Febin Sunny, Sudeep Pasricha, Mahdi Nikdast
2024	A	`conf`	Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics. DATE Salma Afifi, Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2024	J	`jnl`	Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics. CoRR Salma Afifi, Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2024	A	`conf`	COMET: A Cross-Layer Optimized Optical Phase-Change Main Memory Architecture. DATE Febin Sunny, Amin Shafiee, Benoît Charbonnier, Mahdi Nikdast, Sudeep Pasricha
2024	J	`jnl`	OPIMA: Optical Processing-In-Memory for Convolutional Neural Network Acceleration. CoRR Febin Sunny, Amin Shafiee, Abhishek Balasubramaniam, Mahdi Nikdast, Sudeep Pasricha
2024	J	`jnl`	OPIMA: Optical Processing-in-Memory for Convolutional Neural Network Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Febin Sunny, Amin Shafiee, Abhishek Balasubramaniam, Mahdi Nikdast, Sudeep Pasricha
2024	Misc	`conf`	Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators. VTS Febin Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha
2024	J	`jnl`	Silicon Photonic 2.5D Interposer Networks for Overcoming Communication Bottlenecks in Scale-out Machine Learning Hardware Accelerators. CoRR Febin Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha
2023	J	`jnl`	COMET: A Cross-Layer Optimized Optical Phase Change Main Memory Architecture. CoRR Febin Sunny, Amin Shafiee, Benoît Charbonnier, Mahdi Nikdast, Sudeep Pasricha
2023	—	`conf`	Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing. ACM Great Lakes Symposium on VLSI Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2023	J	`jnl`	Cross-Layer Design for AI Acceleration with Non-Coherent Optical Computing. CoRR Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2023	J	`jnl`	GHOST: A Graph Neural Network Accelerator using Silicon Photonics. CoRR Salma Afifi, Febin Sunny, Amin Shafiee, Mahdi Nikdast, Sudeep Pasricha
2023	J	`jnl`	GHOST: A Graph Neural Network Accelerator using Silicon Photonics. ACM Trans. Embed. Comput. Syst. Salma Afifi, Febin Sunny, Amin Shafiee, Mahdi Nikdast, Sudeep Pasricha
2023	A	`conf`	Machine Learning Accelerators in 2.5D Chiplet Platforms with Silicon Photonics. DATE Febin Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha
2023	J	`jnl`	Machine Learning Accelerators in 2.5D Chiplet Platforms with Silicon Photonics. CoRR Febin Sunny, Ebadollah Taheri, Mahdi Nikdast, Sudeep Pasricha
2023	A*	`conf`	R-TOSS: A Framework for Real-Time Object Detection using Semi-Structured Pruning. DAC Abhishek Balasubramaniam, Febin Sunny, Sudeep Pasricha
2023	—	`conf`	TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics. ACM Great Lakes Symposium on VLSI Salma Afifi, Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2023	J	`jnl`	TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonics. CoRR Salma Afifi, Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2022	—	`conf`	A Silicon Photonic Accelerator for Convolutional Neural Networks with Heterogeneous Quantization. ACM Great Lakes Symposium on VLSI Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2022	J	`jnl`	A Silicon Photonic Accelerator for Convolutional Neural Networks with Heterogeneous Quantization. CoRR Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2022	J	`jnl`	Photonic Networks-on-Chip Employing Multilevel Signaling: A Cross-Layer Comparative Study. ACM J. Emerg. Technol. Comput. Syst. Venkata Sai Praneeth Karempudi, Febin Sunny, Ishan G. Thakkar, Sai Vineel Reddy Chittamuru, Mahdi Nikdast, Sudeep Pasricha
2022	—	`conf`	RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics. ISVLSI Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2022	J	`jnl`	RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics. CoRR Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2022	—	`conf`	SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning. ASP-DAC Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2022	J	`jnl`	Silicon Photonic Microring Resonators: A Comprehensive Design-Space Exploration and Optimization Under Fabrication-Process Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Asif Mirza, Febin Sunny, Peter Walsh, Karim Hassan, Sudeep Pasricha, Mahdi Nikdast
2021	J	`jnl`	ARXON: A Framework for Approximate Communication over Photonic Networks-on-Chip. CoRR Febin Sunny, Asif Mirza, Ishan G. Thakkar, Mahdi Nikdast, Sudeep Pasricha
2021	A*	`conf`	CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator. DAC Febin Sunny, Asif Mirza, Mahdi Nikdast, Sudeep Pasricha
2021	J	`jnl`	CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator. CoRR Febin Sunny, Asif Mirza, Mahdi Nikdast, Sudeep Pasricha
2021	J	`jnl`	Photonic Networks-on-Chip Employing Multilevel Signaling: A Cross-Layer Comparative Study. CoRR Venkata Sai Praneeth Karempudi, Febin Sunny, Ishan G. Thakkar, Sai Vineel Reddy Chittamuru, Mahdi Nikdast, Sudeep Pasricha
2021	J	`jnl`	SONIC: A Sparse Neural Network Inference Accelerator with Silicon Photonics for Energy-Efficient Deep Learning. CoRR Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
2020	—	`conf`	LORAX: Loss-Aware Approximations for Energy-Efficient Silicon Photonic Networks-on-Chip. ACM Great Lakes Symposium on VLSI Febin Sunny, Asif Mirza, Ishan G. Thakkar, Sudeep Pasricha, Mahdi Nikdast
2020	J	`jnl`	LORAX: Loss-Aware Approximations for Energy-Efficient Silicon Photonic Networks-on-Chip. CoRR Febin Sunny, Asif Mirza, Ishan G. Thakkar, Sudeep Pasricha, Mahdi Nikdast
2020	A	`conf`	Silicon Photonic Microring Resonators: Design Optimization Under Fabrication Non-Uniformity. DATE Asif Mirza, Febin Sunny, Sudeep Pasricha, Mahdi Nikdast

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.