Parul Shah

13 papers A 1C 5Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2014	J	`jnl`	Multimodal image/video fusion rule using generalized pixel significance based on statistical properties of the neighborhood. Signal Image Video Process. Parul Shah, T. V. Srikanth, Shabbir N. Merchant, Uday B. Desai
2013	J	`jnl`	Context enhancement to reveal a camouflaged target and to assist target localization by fusion of multispectral surveillance videos. Signal Image Video Process. Parul Shah, Chilamakuri Chandra Sekhar Reddy, Shabbir N. Merchant, Uday B. Desai
2013	J	`jnl`	Multifocus and multispectral image fusion based on pixel significance using multiresolution decomposition. Signal Image Video Process. Parul Shah, Shabbir N. Merchant, Uday B. Desai
2012	C	`conf`	Multifocus image fusion algorithm using iterative segmentation based on edge information and adaptive threshold. FUSION Parul Shah, Amy Kumar, Shabbir N. Merchant, Uday B. Desai
2011	—	`conf`	A novel multifocus image fusion scheme based on pixel significance using wavelet transform. IVMSP Parul Shah, T. V. Srikanth, S. N. Merchant, Uday B. Desai
2011	C	`conf`	An efficient adaptive fusion scheme for multifocus images in wavelet domain using statistical properties of neighborhood. FUSION Parul Shah, Shabbir N. Merchant, Uday B. Desai
2011	A	`conf`	An efficient spatial domain fusion scheme for multifocus images using statistical properties of neighborhood. ICME Parul Shah, Shabbir N. Merchant, Uday B. Desai
2011	C	`conf`	Efficient hierarchical fusion using adaptive grouping techniques for visualization of hyperspectral images. ICICS Parul Shah, Maxime Drumetz, S. N. Merchant, Uday B. Desai
2011	C	`conf`	Hierarchical fusion using vector quantization for visualization of hyperspectral images. FUSION Parul Shah, M. Jayalakshmi, Shabbir N. Merchant, Uday B. Desai
2011	C	`conf`	Visualization of multispectral video with moving background based on background extraction and fusion. ICICS B. Chandra Sekhar Reddy, Parul Shah, S. N. Merchant, Uday B. Desai
2010	J	`jnl`	Fusion of Surveillance Images in Infrared and Visible Band Using Curvelet, Wavelet and Wavelet Packet Transform. Int. J. Wavelets Multiresolution Inf. Process. Parul Shah, S. N. Merchant, Uday B. Desai
2009	—	`conf`	OCR-based chassis-number recognition using artificial neural networks. ICVES Parul Shah, Sunil Karamchandani, Taskeen Nadkar, Nikita Gulechha, Kaushik Koli, Ketan Lad
2008	—	`conf`	Adaptive Wavelet Packet Based Audio Steganography using Data History. ICIIS Parul Shah, Pranali Choudhari, Suresh Sivaraman

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.