Rajkumar Palaniappan

15 papers Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Hardware-in-the-Loop testing for low-inertia grids. Elektrotech. Informationstechnik Felix Goeke, Julian Hohmann, Rajkumar Palaniappan, Christian Rehtanz
2024	J	`jnl`	An Overview on Robot Process Automation: Advancements, Design Standards, its Application, and Limitations. Informatica (Slovenia) Rajkumar Palaniappan
2024	—	`conf`	Anomaly Detection in Low-Voltage Grids with LSTM Autoencoders: A Study on Future Scenario Impacts. ISGT EUROPE Razieh Balouchi Anaraki, Rajkumar Palaniappan, Ulf Häger, Christian Rehtanz
2024	J	`jnl`	Comparative Analysis of Support Vector Machine, Random Forest and k-Nearest Neighbor Classifiers for Predicting Remaining Usage Life of Roller Bearings. Informatica (Slovenia) Rajkumar Palaniappan
2024	—	`conf`	Data-driven Approaches for Anomaly Detection in Low-Voltage Grid Net Power. ISGT EUROPE Razieh Balouchi Anaraki, Rajkumar Palaniappan, Ulf Häger, Christian Rehtanz
2023	J	`jnl`	System-level Testing of the Congestion Management Capability of a Hardware-Independent Optimal Power Flow Algorithm. CoRR Thomas Schwierz, Rajkumar Palaniappan, Oleksii Molodchyk, Christian Rehtanz
2022	J	`jnl`	Implementation of Machine Learning-based DER Local Control Schemes on Measurement Devices for Counteracting Communication Failures. CoRR Rajkumar Palaniappan, Jan-Niklas Ceschlaw, Stavros Karagiannopoulos, Christian Rehtanz
2020	—	`conf`	An Intelligent Measurement and Control Device for Active Distribution Grids. ISGT-Europe Rajkumar Palaniappan, Björn Bauernschmitt, Dominik Hilbrich, Christian Rehtanz
2019	J	`jnl`	Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features. Comput. Biol. Medicine Fizza Ghulam Nabi, Kenneth Sundaraj, Chee Kiang Lam, Rajkumar Palaniappan
2017	J	`jnl`	Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation. Comput. Methods Programs Biomed. Rajkumar Palaniappan, Kenneth Sundaraj, Sebastian Sundaraj
2015	J	`jnl`	A telemedicine tool to detect pulmonary pathology using computerized pulmonary acoustic signal analysis. Appl. Soft Comput. Rajkumar Palaniappan, Kenneth Sundaraj, Sebastian Sundaraj, N. Huliraj, S. S. Revadi
2015	J	`jnl`	Physiological signal based detection of driver hypovigilance using higher order spectra. Expert Syst. Appl. Arun Sahayadhas, Kenneth Sundaraj, M. Murugappan, Rajkumar Palaniappan
2014	J	`jnl`	A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals. BMC Bioinform. Rajkumar Palaniappan, Kenneth Sundaraj, Sebastian Sundaraj
2014	J	`jnl`	Detection of emotions in Parkinson's disease using higher order spectral features from brain's electrical activity. Biomed. Signal Process. Control. Yuvaraj Rajamanickam, M. Murugappan, Norlinah Mohamed Ibrahim, Kenneth Sundaraj, Mohd Omar, Khairiyah Mohamad, Rajkumar Palaniappan
2013	J	`jnl`	Gesture recognition system using 2D-invariant moment feature and Elman neural network. Int. J. Artif. Intell. Soft Comput. Murugesa Pandiyan Paulraj, C. R. Hema, Sazali Yaacob, Mohd Shuhanaz Zanar Azalan, Rajkumar Palaniappan

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.