Ramesh Devarapalli

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A comprehensive review of optimization, market strategies, and AI applications in energy storage systems. Evol. Intell. S. S. Kumaresh, Ramesh Devarapalli, Fausto Pedro García Márquez, Hakan Acaroglu
2024	J	`jnl`	Crystal Symmetry-Inspired Algorithm for Optimal Design of Contemporary Mono Passivated Emitter and Rear Cell Solar Photovoltaic Modules. Algorithms Ram Ishwar Vais, Kuldeep Sahay, Tirumalasetty Chiranjeevi, Ramesh Devarapalli, Lukasz Knypinski
2024	J	`jnl`	Metaheuristic Algorithms in Optimal Design of Engineering Problems. Algorithms Lukasz Knypinski, Ramesh Devarapalli, Marcin Kaminski
2023	J	`jnl`	Application of AI-Based Algorithms for Industrial Photovoltaic Module Parameter Extraction. SN Comput. Sci. Vandrasi Raja Kumar, Sravana Kumar Bali, Ramesh Devarapalli
2023	J	`jnl`	Bird Swarm Algorithm Optimized TIDD Controller for Multi-area Load Frequency Control Application. SN Comput. Sci. Sanjeev Kumar Bhagat, Sadasiva Behera, Arindita Saha, Tanima Bal, Tirumalasetty Chiranjeevi, Ramesh Devarapalli, Naladi Ram Babu
2023	J	`jnl`	Comparison of Meta-Heuristic Optimization Algorithms for Global Maximum Power Point Tracking of Partially Shaded Solar Photovoltaic Systems. Algorithms Timmidi Nagadurga, Ramesh Devarapalli, Lukasz Knypinski
2022	J	`jnl`	An approach to solve OPF problems using a novel hybrid whale and sine cosine optimization algorithm. J. Intell. Fuzzy Syst. Ramesh Devarapalli, B. Venkateswara Rao, Bishwajit Dey, K. Vinod Kumar, Hasmat Malik, Fausto Pedro García Márquez
2022	J	`jnl`	Gray wolf optimization-based optimal grid connected solar photovoltaic system with enhanced power quality features. Concurr. Comput. Pract. Exp. Timmidi Nagadurga, P. V. R. L. Narasimham, V. S. Vakula, Ramesh Devarapalli
2022	J	`jnl`	Wind integrated power system to reduce emission: An application of Bat algorithm. J. Intell. Fuzzy Syst. B. Venkateswara Rao, Ramesh Devarapalli, Hasmat Malik, Sravana Kumar Bali, Fausto Pedro García Márquez, Tirumalasetty Chiranjeevi
2021	J	`jnl`	A novel approach of intensified barnacles mating optimization for the mitigation of power system oscillations. Concurr. Comput. Pract. Exp. Ramesh Devarapalli, Biplab Bhattacharyya, Archana Kumari
2021	J	`jnl`	A novel hybrid algorithm for solving emerging electricity market pricing problem of microgrid. Int. J. Intell. Syst. Bishwajit Dey, Biplab Bhattacharyya, Ramesh Devarapalli
2021	J	`jnl`	Anderson Corollary Based on New Approximation Method for Continuous Interval Systems. IEEE Access Jagadish Kumar Bokam, Vinay Pratap Singh, Sharada Nandan Raw, Ramesh Devarapalli, Fausto Pedro García Márquez
2020	J	`jnl`	An intelligent EGWO-SCA-CS algorithm for PSS parameter tuning under system uncertainties. Int. J. Intell. Syst. Ramesh Devarapalli, Biplab Bhattacharyya, Nikhil K. Sinha

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.