Aalok Gangopadhyay

13 papers B 1Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DMD-Net: Deep Mesh Denoising Network. CoRR Aalok Gangopadhyay, Shashikant Verma, Shanmuganathan Raman
2025	J	`jnl`	Hand Shadow Art: A Differentiable Rendering Perspective. CoRR Aalok Gangopadhyay, Prajwal Singh, Ashish Tiwari, Shanmuganathan Raman
2024	J	`jnl`	Search Me Knot, Render Me Knot: Embedding Search and Differentiable Rendering of Knots in 3D. Comput. Graph. Forum Aalok Gangopadhyay, Paras Gupta, Tarun Sharma, Prajwal Singh, Shanmuganathan Raman
2023	J	`jnl`	A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence. CoRR Aalok Gangopadhyay, Abhinav Narayan Harish, Prajwal Singh, Shanmuganathan Raman
2023	J	`jnl`	Flow Symmetrization for Parameterized Constrained Diffeomorphisms. CoRR Aalok Gangopadhyay, Dwip Dalal, Progyan Das, Shanmuganathan Raman
2023	J	`jnl`	Search Me Knot, Render Me Knot: Embedding Search and Differentiable Rendering of Knots in 3D. CoRR Aalok Gangopadhyay, Paras Gupta, Tarun Sharma, Prajwal Singh, Shanmuganathan Raman
2022	—	`conf`	APEX-Net: Automatic Plot Extraction Network. NCC Aalok Gangopadhyay, Prajwal Singh, Shanmuganathan Raman
2022	B	`conf`	DMD-Net: Deep Mesh Denoising Network. ICPR Aalok Gangopadhyay, Shashikant Verma, Shanmuganathan Raman
2021	J	`jnl`	APEX-Net: Automatic Plot Extractor Network. CoRR Aalok Gangopadhyay, Prajwal Singh, Shanmuganathan Raman
2017	—	`conf`	Deep Generative Filter for Motion Deblurring. ICCV Workshops Sainandan Ramakrishnan, Shubham Pachori, Aalok Gangopadhyay, Shanmuganathan Raman
2017	J	`jnl`	Deep Generative Filter for Motion Deblurring. CoRR Sainandan Ramakrishnan, Shubham Pachori, Aalok Gangopadhyay, Shanmuganathan Raman
2016	—	`conf`	Dynamic scene classification using convolutional neural networks. GlobalSIP Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman
2015	J	`jnl`	SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks. CoRR Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman

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.