S. Jayashri

16 papers Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	An Ensemble of Deep Transfer Learning Frameworks for Automatic Tuberculosis Detection in Chest X-Ray Images. ICCIDS (1) J. Rajeswari, J. Raja, N. Ramya, S. Jayashri
2022	J	`jnl`	Gradient contouring and texture modelling based CAD system for improved TB classification. Autom. Softw. Eng. J. Rajeswari, J. Raja, S. Jayashri
2021	J	`jnl`	Low Complexity Maximum Likelihood FBMC QAM for Improved Performance in Longer Delay Channels. Wirel. Pers. Commun. M. Subalatha, S. Jayashri, J. Raja, K. Sakthidasan Sankaran
2019	J	`jnl`	A Novel Redundant Hole Identification and Healing Algorithm for a Homogeneous Distributed Wireless Sensor Network. Wirel. Pers. Commun. K. Lakshmi Joshitha, S. Jayashri
2019	J	`jnl`	A hybrid genetic artificial neural network (G-ANN) algorithm for optimization of energy component in a wireless mesh network toward green computing. Soft Comput. B. Prakash, S. Jayashri, T. S. Karthik
2019	J	`jnl`	Establishing an emergency communication network and optimal path using multiple autonomous rover robots. Concurr. Comput. Pract. Exp. S. Sakthitharan, S. Jayashri
2019	J	`jnl`	Interoperability in Heterogeneous Wireless Networks Using FIS-ENN Vertical Handover Model. Wirel. Pers. Commun. E. Rajinikanth, S. Jayashri
2019	J	`jnl`	Performance analysis for lifetime improvement of a regression based clustered network through cluster member allocation and secondary cluster head selection in a distributed WSN. Clust. Comput. K. Lakshmi Joshitha, S. Jayashri
2018	J	`jnl`	Performance metrics on ultra low power polyphase decimation filter using carbon nanotube field effect transistor technology. Int. J. Comput. Aided Eng. Technol. N. Mathan, M. Vadivel, S. Jayashri
2017	J	`jnl`	An Optimized Analysis of Localization Algorithm in Wireless Sensor Networks. Wirel. Pers. Commun. Z. Mary Livinsa, S. Jayashri
2017	J	`jnl`	Intelligent dynamic spectrum allocation with bandwidth flexibility in cognitive radio network. Clust. Comput. T. Veeramakali, S. Jayashri, S. Prabu
2017	J	`jnl`	Optimized Neural Network for Spectrum Prediction Scheme in Cognitive Radio. Wirel. Pers. Commun. P. Supraja, S. Jayashri
2017	J	`jnl`	Public Auditing Scheme for Data Storage Security in Cloud Computing. J. Inf. Sci. Eng. T. Subha, S. Jayashri
2016	J	`jnl`	Modified Bi-directional Routing with Best Afford Path (MBRBAP) for Routing Optimization in MANET. Wirel. Pers. Commun. M. Malathi, S. Jayashri
2016	J	`jnl`	Searchable Encrypted Data File Sharing Method Using Public Cloud Service for Secure Storage in Cloud Computing. Wirel. Pers. Commun. R. Pitchai, S. Jayashri, J. Raja
2014	—	`conf`	A novel approach to efficient and reliable routing in Vanets. ICADIWT G. Mary Valantina, S. Jayashri

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.