Parthajit Roy

14 papers Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Can bipartite graph be effective tool for clustering: A self-organizing map-based automated plant disease detection. Int. J. Wavelets Multiresolution Inf. Process. Aditi Ghosh, Parthajit Roy
2024	J	`jnl`	Algorithms to compare pentagonal pyramidal/bipyramidal metal complexes on protein structure. Int. J. Comput. Biol. Drug Des. Swati Adhikari, Parthajit Roy
2024	J	`jnl`	An automated model for leaf image-based plant recognition: an optimal feature-based machine learning approach. Innov. Syst. Softw. Eng. Aditi Ghosh, Parthajit Roy
2024	J	`jnl`	CavDetect: A DBSCAN Algorithm based Novel Cavity Detection Model on Protein Structure. CoRR Swati Adhikari, Parthajit Roy
2024	J	`jnl`	Suitability of curvature as a feature for image-based pattern recognition: a case study on leaf image classification based on machine learning. Soft Comput. Aditi Ghosh, Parthajit Roy, Paramartha Dutta
2022	J	`jnl`	A geometry based approach to compare five metal binding sites on biomolecular structures. Int. J. Comput. Biol. Drug Des. Swati Adhikari, Parthajit Roy
2022	J	`jnl`	Contact networks in RNA: a structural bioinformatics study with a new tool. J. Comput. Aided Mol. Des. Parthajit Roy, Dhananjay Bhattacharyya
2022	J	`jnl`	MetBP: a software tool for detection of interaction between metal ion-RNA base pairs. Bioinform. Parthajit Roy, Dhananjay Bhattacharyya
2021	J	`jnl`	A homomorphic computational model for Chinese remainder theorem-based secret sharing. Innov. Syst. Softw. Eng. Parthajit Roy
2021	—	`conf`	AI Based Automated Model for Plant Disease Detection, a Deep Learning Approach. CICBA Aditi Ghosh, Parthajit Roy
2021	J	`jnl`	Simultaneous streamflow forecasting based on hybridized neuro-fuzzy method for a river system. Neural Comput. Appl. Joseph Tripura, Parthajit Roy, A. K. Barbhuiya
2019	J	`jnl`	Analysis of Precipitation Variability using Memory Based Artificial Neural Networks. Int. J. Appl. Metaheuristic Comput. Shyama Debbarma, Parthasarathi Choudhury, Parthajit Roy, Ram Kumar
2012	—	`conf`	A Delaunay Triangulation Preprocessing Based Fuzzy-Encroachment Graph Clustering for Large Scale GIS Data. ISED Parthajit Roy, J. K. Mandal
2011	—	`conf`	A Novel Fuzzy-GIS Model Based on Delaunay Triangulation to Forecast Facility Locations (FGISFFL). ISED Parthajit Roy, J. K. Mandal

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.