Aakash Singh - RankMe

18 papers C 4Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Longitudinal Measurement Study of Log4Shell Exploitation from an Active Network Telescope. CoRR Aakash Singh, Kuldeep Singh Yadav, V. Anil Kumar, Samiran Ghosh, Pranita Baro, Basavala Bhanu Prasanth
2026	J	`jnl`	Internet-Scale Measurement of React2Shell Exploitation Using an Active Network Telescope. CoRR Aakash Singh, Kuldeep Singh Yadav, Md Talib Hasan Ansari, V. Anil Kumar
2026	J	`jnl`	SAFEPLAY-X: A comprehensive gameplay video dataset for violence detection with explainable deep learning applications. Expert Syst. Appl. Aakash Singh, Vinayak Bansal, Muskan Saini, Deepawali Sharma, Vivek Kumar Singh
2025	J	`jnl`	Data to Decisions: A Computational Framework to Identify skill requirements from Advertorial Data. CoRR Aakash Singh, Anurag Kanaujia, Vivek Kumar Singh
2025	J	`jnl`	EmoGif: A Multimodal Approach to Detect Emotional Support in Animated GIFs. IEEE Trans. Comput. Soc. Syst. Aakash Singh, Deepawali Sharma, Vivek Kumar Singh
2025	J	`jnl`	Misogynistic attitude detection in YouTube comments and replies: A high-quality dataset and algorithmic models. Comput. Speech Lang. Aakash Singh, Deepawali Sharma, Vivek Kumar Singh
2024	J	`jnl`	A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images. CoRR Aakash Singh, Vivek Kumar Singh
2024	J	`jnl`	A hybrid transformer-sequencer approach for age and gender classification from in-wild facial images. Neural Comput. Appl. Aakash Singh, Vivek Kumar Singh
2024	J	`jnl`	Analysis and Control of Impedance Network Integrated High Voltage Gain USMC for Wider Output Frequency. IEEE Trans. Ind. Electron. Vulavakayala Siva, M. Raghuram, Aakash Singh, Santosh Kumar Singh
2024	C	`conf`	Analysis and Control of Three-Level Bidirectional DC-DC Converter for Battery Charging Application. IECON Siripuram Yamini, Dhiraj Kumar, Aakash Singh, Suvendu Samanta
2024	C	`conf`	Modeling and Control of Three Level TNPC PFC Rectifier for lower THD. IECON Yojan Sharma, Aakash Singh, Suvendu Samanta
2024	J	`jnl`	Towards a large sized curated and annotated corpus for discriminating between human written and AI generated texts: A case study of text sourced from Wikipedia and ChatGPT. Nat. Lang. Process. J. Aakash Singh, Deepawali Sharma, Abhirup Nandy, Vivek Kumar Singh
2023	—	`conf`	A Comparison of Machine Learning Algorithms and Transformer-based Methods for Multiclass Sentiment Analysis on Twitter. ICCCNT Aakash Singh, Suresh Kumar
2023	J	`jnl`	Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers. CoRR Aakash Singh, Vivek Kumar Singh
2023	C	`conf`	Quadratic High Gain Converter Based on Active Switched Inductor and Capacitor-Diode Network for DC Microgrid. IECON Aakash Singh, Vulavakayala Siva, Santosh Kumar Singh
2022	C	`conf`	Enhanced Voltage Gain of USMC by Modified Quasi Z source Impedance Network. IAS Vulavakayala Siva, Aakash Singh, M. Raghuram, Avneet Kumar, Santosh Kumar Singh
2022	J	`jnl`	Indian Science Reports: a web-based scientometric portal for mapping Indian research competencies at overall and institutional levels. Scientometrics Vivek Kumar Singh, Abhirup Nandy, Prashasti Singh, Mousumi Karmakar, Aakash Singh, Hiran H. Lathabai, Satya Swarup Srichandan, Anurag Kanaujia
2020	—	`conf`	Self-centeredness of Generalized Petersen Graphs. CALDAM Priyanka Singh, Pratima Panigrahi, Aakash 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.