A. Rajesh

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Automated interpretation of fetal abnormalities over real-time sensory sonography using SVM classifier. Multim. Tools Appl. G. Wiselin Jiji, A. Rajesh, A. Muthuraj
2024	—	`conf`	Performance Analysis of IRS Assisted Jamming Detection. NCC Deepak Rathore, Salil Kashyap, A. Rajesh
2024	J	`jnl`	Printed circuit board inspection using computer vision. Multim. Tools Appl. A. Rajesh, G. Wiselin Jiji
2023	J	`jnl`	Analysis of schizophrenia using support vector machine classifier. Multim. Tools Appl. G. Wiselin Jiji, A. Rajesh, Ajitha Kanagaraj
2023	J	`jnl`	Hybrid heuristic mechanism for occlusion aware facial expression recognition scheme using patch based adaptive CNN with attention mechanism. Intell. Decis. Technol. A. Reddy Prasad, A. Rajesh
2023	J	`jnl`	Multi-Objective Load Balancing in Cloud Computing: A Meta-Heuristic Approach. Cybern. Syst. Kethineni Vinod Kumar, A. Rajesh
2023	J	`jnl`	Occlusion-aware FERNet: an optimized patch-based adaptive residual network with attention mechanism for occlusion-aware facial expression recognition. Soft Comput. A. Reddy Prasad, A. Rajesh
2022	J	`jnl`	A novel cluster head selection using Hybrid Artificial Bee Colony and Firefly Algorithm for network lifetime and stability in WSNs. Connect. Sci. Sengathir Janakiraman, A. Rajesh, Gaurav Dhiman, S. Vimal, C. A. Yogaraja, Wattana Viriyasitavat
2022	J	`jnl`	Cognitive Computing for Multimodal Sentiment Sensing and Emotion Recognition Fusion Based on Machine Learning Techniques Implemented by Computer Interface System. Int. J. Commun. Networks Inf. Secur. Arun Kumar Marandi, Gordhan Jethava, A. Rajesh, Sachin Gupta, Shrddha Sagar, Sonia Sharma
2022	J	`jnl`	Performance Analysis of Rectangular Microstrip Wearable Textile Antenna with Series of Slots. J. Commun. A. Rajesh, R. Vani, B. Rama Rao
2020	—	`conf`	On the Efficacy of Antenna Selection at the Massive Antenna Jammer. SPCOM Deepak Rathore, Salil Kashyap, A. Rajesh
2018	J	`jnl`	Implementation of IoT-based VTMS with energy-based routing scheme for smart cities in Indian scenario. Electron. Gov. an Int. J. S. Renuga Devi, A. Rajesh, C. Varun
2017	J	`jnl`	Securing video cloud storage by ERBAC mechanisms in 5g enabled vehicular networks. Clust. Comput. R. Gopi, A. Rajesh

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.