D. Rajya Lakshmi

12 papers Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Residual Twin directional neural network (DRTNN) based user intention Discovery and product recommendation in e-commerce website. Expert Syst. Appl. B. Siva Jyothi, D. Rajya Lakshmi, G. Neelima
2022	J	`jnl`	Integration of optimized local directional weber pattern with faster region convolutional neural network for enhanced medical image retrieval and classification. Comput. Intell. Dhupam Bhanu Mahesh, Bindu Madhuri, D. Rajya Lakshmi
2021	J	`jnl`	Mutation Testing and Its Analysis on Web Applications for Defect Prevention and Performance Improvement. Int. J. e Collab. Suguna Mallika S., D. Rajya Lakshmi
2021	J	`jnl`	Optimized Local Weber and Gradient Pattern-based medical image retrieval and optimized Convolutional Neural Network-based classification. Biomed. Signal Process. Control. Dhupam Bhanu Mahesh, Gorti Satyanarayana Murty, D. Rajya Lakshmi
2020	J	`jnl`	Combining optimal wavelet statistical texture and recurrent neural network for tumour detection and classification over MRI. Multim. Tools Appl. S. Salma Begum, D. Rajya Lakshmi
2020	J	`jnl`	Identifying Fraudulent Behaviors in Healthcare Claims Using Random Forest Classifier With SMOTEchnique. Int. J. e Collab. Naga Jyothi P., D. Rajya Lakshmi, K. V. S. N. Rama Rao
2018	J	`jnl`	DFTDT: distributed functional tangent decision tree for aqua status prediction in wireless sensor networks. Int. J. Mach. Learn. Cybern. Suresh Babu Chandanapalli, Edara Sreenivasa Reddy, D. Rajya Lakshmi
2017	J	`jnl`	FTDT: Rough set integrated functional tangent decision tree for finding the status of aqua pond in aquaculture. J. Intell. Fuzzy Syst. Suresh Babu Chandanapalli, Edara Sreenivasa Reddy, D. Rajya Lakshmi
2015	J	`jnl`	Efficient Design and Deployment of Aqua Monitoring Systems Using WSNs and Correlation Analysis. Int. J. Comput. Commun. Control Suresh Babu Chandanapalli, Edara Sreenivasa Reddy, D. Rajya Lakshmi
2012	—	`conf`	A Novel Model for Encryption of Telugu Text Using Visual Cryptography Scheme. ACITY (2) G. Lakshmeeswari, D. Rajya Lakshmi, Yarramalle Srinivas, G. Hima Bindu
2012	J	`jnl`	Feature Extraction Methods for Color Image Similarity CoRR R. Venkata Ramana Chary, D. Rajya Lakshmi, K. V. N. Sunitha
2010	J	`jnl`	Cryptanalysis of a more efficient and secure dynamic id-based remote user authentication scheme CoRR Mohammed Aijaz Ahmed, D. Rajya Lakshmi, Sayed Abdul Sattar

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.