Ramashish Gaurav

12 papers B 1Misc 2Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Deep Legendre-SNN for Time Series Classification - Analysis and Enhancements. IEEE Trans. Emerg. Top. Comput. Intell. Ramashish Gaurav, Shrestha Agarwal, Terrence C. Stewart, Yang Yi
2026	Misc	`conf`	Temporal Learning for Edge AI: Hyperdimensional Computing with Legendre Delay Networks. ICNC Md. Rubel Sarkar, Ramashish Gaurav, Govind Sunil Kumar, Shirazush Salekin Chowdhury, Yang Yi
2025	J	`jnl`	DALTON - Deep Local Learning in SNNs via Local Weights and Surrogate-Derivative Transfer. IEEE Trans. Emerg. Top. Comput. Ramashish Gaurav, Duy Anh Do, Thinh Thanh Doan, Yang Yi
2023	J	`jnl`	Reservoir based spiking models for univariate Time Series Classification. Frontiers Comput. Neurosci. Ramashish Gaurav, Terrence C. Stewart, Yang Yi
2022	B	`conf`	Spiking Approximations of the MaxPooling Operation in Deep SNNs. IJCNN Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2022	J	`jnl`	Spiking Approximations of the MaxPooling Operation in Deep SNNs. CoRR Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2022	Misc	`conf`	Spiking Reservoir Computing for Temporal Edge Intelligence on Loihi. SEC Ramashish Gaurav, Terrence C. Stewart, Yang Cindy Yi
2021	—	`conf`	Driving Scene Understanding: How much temporal context and spatial resolution is necessary? Canadian AI Ramashish Gaurav, Bryan P. Tripp, Apurva Narayan
2018	J	`jnl`	A Train Status Assistant for Indian Railways. CoRR Himadri Mishra, Ramashish Gaurav, Biplav Srivastava
2018	—	`conf`	Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model. ITSC Ramashish Gaurav, Biplav Srivastava
2018	J	`jnl`	Estimating Train Delays in a Large Rail Network Using a Zero Shot Markov Model. CoRR Ramashish Gaurav, Biplav Srivastava
2016	—	`conf`	Informed multimodal latent subspace learning via supervised matrix factorization. ICVGIP Ramashish Gaurav, Mridula Verma, Kaushal Kumar Shukla

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.