Abhirup Khanna

11 papers Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-Driven Multi-Agent Energy Management for Sustainable Microgrids: Hybrid Evolutionary Optimization and Blockchain-Based EV Scheduling. Comput. Abhirup Khanna, Divya Srivastava, Anushree Sah, Sarishma Dangi, Abhishek Sharma, Sew Sun Tiang, Jun-Jiat Tiang, Wei Hong Lim
2024	—	`conf`	Federated Multi-Agent Reinforcement Learning for Incentive-Based DRS over Blockchain enabled Microgrids. ICSPIS Abhirup Khanna, Piyush Maheshwari
2024	—	`conf`	Sustainable Industrial Energy Management: Multi-Agent Deep Reinforcement Learning with GA and Digital Twins. ICSPIS Abhirup Khanna, Piyush Maheshwari
2023	—	`conf`	Blockchain-Powered NFTs: A Paradigm Shift in Carbon Credit Transactions for Traceability, Transparency, and Accountability. EMCIS (1) Abhirup Khanna, Piyush Maheshwari
2022	J	`jnl`	Blockchain-Cloud Integration: A Survey. Sensors Abhirup Khanna, Anushree Sah, Vadim Bolshev, Alessandro Burgio, Vladimir Panchenko, Marek Jasinski
2022	J	`jnl`	Blockchain-based transfer learning for health screening with digital anthropometry from body images. Netw. Model. Anal. Health Informatics Bioinform. Chandra Priya Jayabal, Tanupriya Choudhury, Abhirup Khanna, Roselin Preethi
2020	—	`conf`	Blockchain Technology for Hospitality Industry. EMCIS Abhirup Khanna, Anushree Sah, Tanupriya Choudhury, Piyush Maheshwari
2020	—	`conf`	Intelligent Mobile Edge Computing: A Deep Learning Based Approach. ICACDS Abhirup Khanna, Anushree Sah, Tanupriya Choudhury
2020	J	`jnl`	Oppositional spotted hyena optimizer with mutation operator for global optimization and application in training wavelet neural network. J. Intell. Fuzzy Syst. Nibedan Panda, Santosh Kumar Majhi, Sarishma Singh, Abhirup Khanna
2020	—	`conf`	Reading Political Sentiment and Mood of the Electorate Through Twitter Data. ICSPIS Abhirup Khanna, Ananya Bansal, Amit Agarwal, Piyush Maheshwari
2019	J	`jnl`	An Adaptive Approach Towards Computation Offloading for Mobile Cloud Computing. Int. J. Inf. Technol. Web Eng. Archana Kero, Abhirup Khanna, Devendra Kumar, Amit Agarwal

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.