Tanu Gupta

14 papers A 1B 2C 1Journal 2Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SentimentMapper: A framework for mapping of sentiments towards disaster response using social media data. Appl. Intell. Tanu Gupta, Aman Rai, Sudip Roy
2024	—	`conf`	Applications of Artificial Intelligence in Disaster Management. ICCAI Tanu Gupta, Sudip Roy
2023	—	`conf`	Handcrafted Features Based Analysis of Social Media Images for Disaster Response. ICT-DM Tanu Gupta, Sudip Roy
2023	—	`conf`	Hybrid Model for Impact Analysis of Climate Change on Droughts in Indian Region. LOD (1) Ameya Gujar, Tanu Gupta, Sudip Roy
2023	—	`conf`	Impact Analysis of Climate Change on Floods in an Indian Region Using Machine Learning. ICANN (8) Sarthak Vage, Tanu Gupta, Sudip Roy
2023	J	`jnl`	Improved class-specific vector for biomedical question type classification. Int. J. Comput. Sci. Eng. Tanu Gupta, Ela Kumar
2020	C	`conf`	A Hybrid Model based on Fused Features for Detection of Natural Disasters from Satellite Images. IGARSS Tanu Gupta, Sudip Roy
2019	B	`conf`	CrowdVAS-Net: A Deep-CNN Based Framework to Detect Abnormal Crowd-Motion Behavior in Videos for Predicting Crowd Disaster. SMC Tanu Gupta, Vimala Nunavath, Sudip Roy
2019	B	`conf`	WebReLog: A Web-based Tool for Disaster Relief Logistics with Vehicle Route Planning. SMC Naveen Gupta, Tanu Gupta, Subhajyoti Samaddar, Sudip Roy
2018	—	`conf`	A Deep Learning Framework for Recognition of Various Skin Lesions due to Diabetes. ICACCI Tanu Gupta, Satyam Saini, Aradhya Saini, Shrutika Aggarwal, Ankush Mittal
2018	—	`conf`	CARTOONNET: Caricature Recognition of Public Figures. CVIP (1) Pushkar Shukla, Tanu Gupta, Priyanka Singh, Balasubramanian Raman
2018	—	`conf`	Deep Learning Framework for Detection of an Illicit Drug Abuser Using Facial Image. CVIP (1) Tanu Gupta, Meghna Goyal, Gautam Kumar, Balasubramanian Raman
2017	A	`conf`	A Deep Learning Frame-Work for Recognizing Developmental Disorders. WACV Pushkar Shukla, Tanu Gupta, Aradhya Saini, Priyanka Singh, Raman Balasubramanian
2006	—	`conf`	Parallel Mesh Division Algorithm For General Linear Two Point Boundary Value Problems. PARELEC Rajesh K. Bawa, B. V. Rathish Kumar, Tanu Gupta

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.