Sachchida Nand Chaurasia

12 papers Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Lightweight Hybrid Convolutional Kolmogorov-Arnold Network for Efficient Image Classification on CIFAR-10. PReMI (2) Himanshu Singh, Sachchida Nand Chaurasia
2024	J	`jnl`	Genetic Algorithm Incorporating Group Theory for Solving the General Travelling Salesman Problem. SN Comput. Sci. Dharm Raj Singh, Manoj Kumar Singh, Sachchida Nand Chaurasia, Anshul Verma
2024	J	`jnl`	Hybrid Heuristic for Solving the Euclidean Travelling Salesman Problem. SN Comput. Sci. Dharm Raj Singh, Manoj Kumar Singh, Sachchida Nand Chaurasia, Pradeepika Verma
2023	J	`jnl`	A Comprehensive Analysis of Indian Legal Documents Summarization Techniques. SN Comput. Sci. Saloni Sharma, Surabhi Srivastava, Pradeepika Verma, Anshul Verma, Sachchida Nand Chaurasia
2019	J	`jnl`	An evolutionary algorithm based hyper-heuristic framework for the set packing problem. Inf. Sci. Sachchida Nand Chaurasia, Joong Hoon Kim
2017	J	`jnl`	Hybrid evolutionary approaches for the single machine order acceptance and scheduling problem. Appl. Soft Comput. Sachchida Nand Chaurasia, Alok Singh
2017	J	`jnl`	Hybrid metaheuristic approaches for the single machine total stepwise tardiness problem with release dates. Oper. Res. Sachchida Nand Chaurasia, Shyam Sundar, Alok Singh
2016	J	`jnl`	A hybrid heuristic for dominating tree problem. Soft Comput. Sachchida Nand Chaurasia, Alok Singh
2015	J	`jnl`	A hybrid evolutionary algorithm with guided mutation for minimum weight dominating set. Appl. Intell. Sachchida Nand Chaurasia, Alok Singh
2015	J	`jnl`	A hybrid swarm intelligence approach to the registration area planning problem. Inf. Sci. Sachchida Nand Chaurasia, Alok Singh
2015	—	`conf`	An Ant Colony Optimization Approach for the Dominating Tree Problem. SEMCCO Shyam Sundar, Sachchida Nand Chaurasia, Alok Singh
2014	J	`jnl`	A hybrid evolutionary approach to the registration area planning problem. Appl. Intell. Sachchida Nand Chaurasia, Alok Singh

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.