Ramkumar Thirunavukarasu

18 papers Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	QoS-aware quantum service composition using multi-objective optimization. Quantum Mach. Intell. Rajganesh Nagarajan, Ramkumar Thirunavukarasu
2025	J	`jnl`	A Container-Based Cloud Broker for Effective Service Provisioning in Multicloud Environment. Int. J. Intell. Syst. Vinothiyalakshmi P., Rajganesh Nagarajan, Ramkumar Thirunavukarasu, Arun Pandian J., Evans Kotei
2025	J	`jnl`	A Trusted Multi-Cloud Brokerage System for Validating Cloud Services Using Ranking Heuristics. Future Internet Rajganesh Nagarajan, Vinothiyalakshmi P., Ramkumar Thirunavukarasu, Arun Pandian J.
2025	J	`jnl`	Enhanced Multi-Level Recommender System Using Turnover-Based Weighting for Predicting Regional Preferences. Comput. Venkatesan Thillainayagam, Ramkumar Thirunavukarasu, Arun Pandian J.
2024	J	`jnl`	A Novel Convolutional Neural Network Model for Automatic Speaker Identification From Speech Signals. IEEE Access Arun Pandian J., Ramkumar Thirunavukarasu, Evans Kotei
2024	J	`jnl`	A comprehensive review on transformer network for natural and medical image analysis. Comput. Sci. Rev. Ramkumar Thirunavukarasu, Evans Kotei
2024	J	`jnl`	Tuberculosis Detection From Chest X-Ray Image Modalities Based on Transformer and Convolutional Neural Network. IEEE Access Evans Kotei, Ramkumar Thirunavukarasu
2024	J	`jnl`	Visual attention condenser model for multiple disease detection from heterogeneous medical image modalities. Multim. Tools Appl. Evans Kotei, Ramkumar Thirunavukarasu
2023	J	`jnl`	A Systematic Review of Transformer-Based Pre-Trained Language Models through Self-Supervised Learning. Inf. Evans Kotei, Ramkumar Thirunavukarasu
2022	J	`jnl`	A neuro-fuzzy based healthcare framework for disease analysis and prediction. Multim. Tools Appl. Rajganesh Nagarajan, Ramkumar Thirunavukarasu
2022	J	`jnl`	Towards computational solutions for precision medicine based big data healthcare system using deep learning models: A review. Comput. Biol. Medicine Ramkumar Thirunavukarasu, C. George Priya Doss, Gnanasambandan Ramanathan, Mohanraj Gopikrishnan, Venketesh Palanisamy
2021	J	`jnl`	An Improved Fuzzy Adaptive Firefly Algorithm-Based Hybrid Clustering Algorithms. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Anmol Agrawal, B. K. Tripathy, Ramkumar Thirunavukarasu
2020	J	`jnl`	Anaphora and coreference resolution: A review. Inf. Fusion Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu
2019	J	`jnl`	A fuzzy-based decision-making broker for effective identification and selection of cloud infrastructure services. Soft Comput. Rajganesh Nagarajan, Ramkumar Thirunavukarasu
2019	J	`jnl`	Implications of big data analytics in developing healthcare frameworks - A review. J. King Saud Univ. Comput. Inf. Sci. Venketesh Palanisamy, Ramkumar Thirunavukarasu
2018	J	`jnl`	A Fuzzy-Based Intelligent Cloud Broker with MapReduce Framework to Evaluate the Trust Level of Cloud Services Using Customer Feedback. Int. J. Fuzzy Syst. Rajganesh Nagarajan, Ramkumar Thirunavukarasu, Selvamuthukumaran Shanmugam
2018	J	`jnl`	Anaphora and Coreference Resolution: A Review. CoRR Rhea Sukthanker, Soujanya Poria, Erik Cambria, Ramkumar Thirunavukarasu
2016	J	`jnl`	A Review on Broker Based Cloud Service Model. J. Comput. Inf. Technol. Rajganesh Nagarajan, Ramkumar Thirunavukarasu

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.