Sandeep Rathor

17 papers Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Deep Dive into CNN-Driven Image Dehazing Techniques. SN Comput. Sci. Subhash Chand Agrawal, Rajesh Kumar Tripathi, Sandeep Rathor
2025	J	`jnl`	A sturdy CNN-based model for ambience recognition of acoustic communication. Neural Comput. Appl. Sandeep Rathor
2025	J	`jnl`	Detecting and localizing multiple forgeries with TransGAN. Iran J. Comput. Sci. Upasana Singh, Sandeep Rathor, Manoj Kumar
2025	J	`jnl`	Hybrid deep learning and machine learning approach for detecting spatial and temporal forgeries in videos. Neural Comput. Appl. Upasana Singh, Sandeep Rathor, Manoj Kumar
2024	J	`jnl`	A Comprehensive Review on COVID-19 Detection Based on Cough Sounds, Symptoms, CXR, and CT Images. IEEE Access Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Jnanaranjan Mohanty, Khursheed Muzammil, Saiful Islam, Wahaj Ahmad Khan
2024	J	`jnl`	Corrections to "A Comprehensive Review on COVID-19 Detection Based on Cough Sounds, Symptoms, CXR, and CT Images". IEEE Access Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Jnanaranjan Mohanty, Khursheed Muzammil, Saiful Islam, Wahaj Ahmad Khan
2024	J	`jnl`	Corrections to "A Comprehensive Review on COVID-19 Detection Based on Cough Sounds, Symptoms, CXR, and CT Images". IEEE Access Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, Venubabu Rachapudi, Jnanaranjan Mohanty, Khursheed Muzammil, Saiful Islam, Wahaj Ahmad Khan
2024	J	`jnl`	Detecting sequential video forgery using spatiotemporal attention mechanisms. J. Electronic Imaging Upasana Singh, Sandeep Rathor, Manoj Kumar
2023	J	`jnl`	Secure and Embedded Processing Framework for Payload Scattering in Image Steganography with Low Computation Time. Wirel. Pers. Commun. Sandeep Rathor, Subhash Chand Agrawal, Robin Singh Bhadoria, Praphula Kumar Jain
2023	J	`jnl`	The art of context classification and recognition of text conversation using CNN. Int. J. Inf. Decis. Sci. Sandeep Rathor, Sanket Agrawal
2022	J	`jnl`	Sense understanding of text conversation using temporal convolution neural network. Multim. Tools Appl. Sandeep Rathor, Sanket Agrawal
2021	J	`jnl`	A robust model for domain recognition of acoustic communication using Bidirectional LSTM and deep neural network. Neural Comput. Appl. Sandeep Rathor, Sanket Agrawal
2019	J	`jnl`	Acoustic domain classification and recognition through ensemble based multilevel classification. J. Ambient Intell. Humaniz. Comput. Sandeep Rathor, Rakesh Singh Jadon
2019	—	`conf`	Speech Recognition and System Controlling using Hindi Language. ICCCNT Sandeep Rathor, Rakesh Singh Jadon
2019	J	`jnl`	The art of domain classification and recognition for text conversation using support vector classifier. Int. J. Arts Technol. Sandeep Rathor, Rakesh Singh Jadon
2018	—	`conf`	Domain Classification of Textual Conversation Using Machine Learning Approach. ICCCNT Sandeep Rathor, Rakesh Singh Jadon
2018	—	`conf`	Prediction of SGEMM GPU Kernel Performance Using Supervised and Unsupervised Machine Learning Techniques. ICCCNT Sanket Agrawal, Akshay Bansal, Sandeep Rathor

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.