Abhishek Kumar Singh

15 papers A* 1A 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages. NAACL (Findings) Abhishek Kumar Singh, Vishwajeet Kumar, Rudra Murthy, Jaydeep Sen, Ashish R. Mittal, Ganesh Ramakrishnan
2024	—	`conf`	An Efficient Data Management Policy For IoT Application with Tangential Data Control System in a Cloud Fog Environment. ICCCNT Kalka Dubey, Aman Raj, Abhishek Kumar Singh, Satyam Kumar Tripathi
2024	J	`jnl`	Design and optimization of three class object detection modalities for manufacturing steel surface fault diagnosis and dimensionality classification. Int. J. Syst. Assur. Eng. Manag. Anurag Sinha, Vandana Sharma, Ahmed Alkhayyat, Suman, Biresh Kumar, Neetu Singh, Abhishek Kumar Singh, Shatrudhan Pandey
2024	J	`jnl`	FashionSD-X: Multimodal Fashion Garment Synthesis using Latent Diffusion. CoRR Abhishek Kumar Singh, Ioannis Patras
2024	J	`jnl`	INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages. CoRR Abhishek Kumar Singh, Rudra Murthy, Vishwajeet Kumar, Jaydeep Sen, Ganesh Ramakrishnan
2023	J	`jnl`	Using network metrics to explore the community structure that underlies movement patterns. CoRR Anh Pham Thi Minh, Abhishek Kumar Singh, Soumya Snigdha Kundu
2022	J	`jnl`	Rayleigh-type wave propagation in exponentially graded initially stressed composite structure resting on rigid and yielding foundations. Appl. Math. Comput. Shalini Saha, Abhishek Kumar Singh, Amares Chattopadhyay
2019	J	`jnl`	Experimental analysis of Android malware detection based on combinations of permissions and API-calls. J. Comput. Virol. Hacking Tech. Abhishek Kumar Singh, C. D. Jaidhar, Ajay Kumara M. A.
2019	J	`jnl`	Hybrid MemNet for Extractive Summarization. CoRR Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
2019	J	`jnl`	Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. CoRR Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
2018	J	`jnl`	Effective sensing radius (ESR) and performance analysis of static and mobile sensor networks. Telecommun. Syst. Sunandita Debnath, Ashraf Hossain, Sultan Mahmood Chowdhury, Abhishek Kumar Singh
2018	A*	`conf`	Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization. AAAI Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
2017	A	`conf`	Hybrid MemNet for Extractive Summarization. CIKM Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma
2014	J	`jnl`	Business and Social Behaviour Intelligence Analysis Using PSO. Int. J. Interact. Multim. Artif. Intell. Vinay S. Bhaskar, Abhishek Kumar Singh, Jyoti Dhruw, Anubha Parashar, Mradula Sharma
2013	J	`jnl`	Personalized real time weather forecasting. CoRR Abhishek Kumar Singh, Aditi Sharma, Rahul Mishra

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.