R. Karthikeyan

12 papers C 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SimNav-XR: an extended reality platform for mobile robot simulation using ROS2 and Unity3D. Frontiers Robotics AI Prakash Aryan, Sujala D. Shetty, V. Kalaichelvi, R. Karthikeyan
2025	J	`jnl`	A Comprehensive Survey of Path Planning Algorithms for Autonomous Systems and Mobile Robots: Traditional and Modern Approaches. IEEE Access Anusha Alexander, Kalaichelvi Venkatesan, Jinane Mounsef, R. Karthikeyan
2025	—	`conf`	A Retrieval-Augmented Generation (RAG)-Based LLM for Modern Warehouse Automation and Management. CASE Kabita Choudhary, Sheeba Uruj, Abhinav Pathak, V. Kalaichelvi, Sujala D. Shetty, R. Karthikeyan, Tarek Taha, Rajkumar Muthusamy
2025	J	`jnl`	Adaptive emergency response and dynamic crowd navigation for mobile robot using deep reinforcement learning. Frontiers Robotics AI Anusha Alexander, V. N. Suchir Vangaveeti, Kalaichelvi Venkatesan, Jinane Mounsef, R. Karthikeyan
2025	J	`jnl`	Comparative Analysis of GPT-4 and LLaMA 3.2 Integration With Speech Processing Models for Enhancing Human-Robot Interaction and Motion Control in Real-World Applications. IEEE Access Sheeba Uruj, Riddhi Goswami, Sujala D. Shetty, Kalaichelvi Venkatesan, R. Karthikeyan
2025	J	`jnl`	Performance evaluation of vision based path planning for dynamic real-time scenarios of mobile robot. Multim. Tools Appl. Abhilasha Singh, Yaamunan Sridhar, V. Kalaichelvi, R. Karthikeyan
2024	J	`jnl`	Machine learning-based multi-sensor fusion for warehouse robot in GPS-denied environment. Multim. Tools Appl. Abhilasha Singh, V. Kalaichelvi, R. Karthikeyan
2023	J	`jnl`	Performance analysis of object detection algorithms for robotic welding applications in planar environment. Int. J. Comput. Integr. Manuf. Abhilasha Singh, V. Kalaichelvi, R. Karthikeyan
2022	J	`jnl`	Prototype design and performance analysis of genetic algorithm-based SLAM for indoor navigation using TETRIX Prizm mobile robot. Int. J. Mechatronics Autom. Abhilasha Singh, V. Kalaichelvi, R. Karthikeyan
2018	C	`conf`	Real-Time Tracing Of A Weld Line Using Artificial Neural Networks. ICIS Srinath Hanumantha Rao, V. Kalaichelvi, R. Karthikeyan
2018	J	`jnl`	Tracing a Weld Line using Artificial Neural Networks. Int. J. Networked Distributed Comput. Srinath Hanumantha Rao, V. Kalaichelvi, R. Karthikeyan
2013	J	`jnl`	Analysis of gas metal arc welding process using GA tuned fuzzy rule based system. J. Intell. Fuzzy Syst. V. Kalaichelvi, R. Karthikeyan, D. Sivakumar

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.