Raj Kumar Patra

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A meta-heuristic aided arrhythmia classification model using advanced deep learning technique with multiple feature extraction mechanisms. Comput. Biol. Chem. Jay Raval, Kamalesh V. N., Raj Kumar Patra
2025	J	`jnl`	A novel pulmonary emphysema detection using Seg-ResUnet-based abnormality segmentation and enhanced heuristic algorithm-aided deep learning. Expert Syst. Appl. K. B. V. Brahma Rao, Naresh Kumar Kar, Kamal K. Mehta, Mohan Awasthy, Srinivas Konda, Raj Kumar Patra
2025	J	`jnl`	VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification. Big Data Cogn. Comput. Kambham Pratap Joshi, Vishruth Boraiah Gowda, Parameshachari Bidare Divakarachari, Paramesh Siddappa Parameshwarappa, Raj Kumar Patra
2024	J	`jnl`	CNN-CLFFA: Support Mobile Edge Computing in Transportation Cyber Physical System. IEEE Access Ashok Bhansali, Raj Kumar Patra, Parameshachari Bidare Divakarachari, Przemyslaw Falkowski-Gilski, Gandla Shivakanth, Sujatha N. Patil
2023	J	`jnl`	Computer succoured vaticination of multi-object detection and histogram enhancement in low vision. Int. J. Biom. Ramakant Chandrakar, Rohit Raja, Rohit Miri, Raj Kumar Patra, Upasana Sinha
2023	J	`jnl`	Feature Selection Using Selective Opposition Based Artificial Rabbits Optimization for Arrhythmia Classification on Internet of Medical Things Environment. IEEE Access G. S. Nijaguna, N. Dayananda Lal, Parameshachari Bidare Divakarachari, Rocío Pérez de Prado, Marcin Wozniak, Raj Kumar Patra
2023	J	`jnl`	Pulmonary lung nodule detection and classification through image enhancement and deep learning. Int. J. Biom. Nuthanakanti Bhaskar, Tumkur Sureshkumar Ganashree, Raj Kumar Patra
2023	J	`jnl`	User-segregation based channel estimation in the MIMO system. Phys. Commun. Raj Kumar Patra, M. Hema Kumar, Kalyanapu Srinivas, P. Chandra Sekhar, S. J. Subhashini
2022	J	`jnl`	Feature Weighted Attention - Bidirectional Long Short Term Memory Model for Change Detection in Remote Sensing Images. Remote. Sens. Raj Kumar Patra, Sujata N. Patil, Przemyslaw Falkowski-Gilski, Zbigniew Lubniewski, Rachana Poongodan
2022	J	`jnl`	Twitter sentiment analysis using ensemble based deep learning model towards COVID-19 in India and European countries. Pattern Recognit. Lett. D. Sunitha, Raj Kumar Patra, N. V. Babu, A. Suresh, Suresh Chand Gupta
2022	J	`jnl`	Vehicle type classification using graph ant colony optimizer based stack autoencoder model. Multim. Tools Appl. Kavitha Rani Balmuri, M. Varaprasad Rao, Raj Kumar Patra, Srinivas Konda, G. Madhukar
2018	J	`jnl`	Physiological trait-based biometrical authentication of human-face using LGXP and ANN techniques. Int. J. Inf. Comput. Secur. Rohit Raja, Tilendra Shishir Sinha, Raj Kumar Patra, Shrikant Tiwari
2018	J	`jnl`	Research studies on human cognitive ability. Int. J. Intell. Def. Support Syst. G. R. Sinha, K. Srujan Raju, Raj Kumar Patra, Daw Win Aye, Daw Thuzar Khin
2017	J	`jnl`	Extraction of geometric and prosodic features from human-gait-speech data for behavioral pattern detection: Part I. Turkish J. Electr. Eng. Comput. Sci. Raj Kumar Patra, Tilendra Shishir Sinha, Ravi Prakash Dubey

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.