Sandeep Mathias

16 papers A* 1B 1Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning. COLING Workshops Medha Jeenoor, Madiha Aziz, Saipriya Dipika Vaidyanathan, Avijit Samantraya, Sandeep Mathias
2024	—	`conf`	ISEP_Presidency_University at MLSP 2024 Shared Task: Using GPT-3.5 to Generate Substitutes for Lexical Simplification. BEA Benjamin Dutilleul, Mathis Debaillon, Sandeep Mathias
2022	—	`conf`	Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays. NAACL-HLT Rahul Kumar, Sandeep Mathias, Sriparna Saha, Pushpak Bhattacharyya
2021	J	`jnl`	A Survey on Using Gaze Behaviour for Natural Language Processing. CoRR Sandeep Mathias, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya
2021	J	`jnl`	Cognitively Aided Zero-Shot Automatic Essay Grading. CoRR Sandeep Mathias, V. Rudra Murthy, Diptesh Kanojia, Pushpak Bhattacharyya
2021	J	`jnl`	Many Hands Make Light Work: Using Essay Traits to Automatically Score Essays. CoRR Rahul Kumar, Sandeep Mathias, Sriparna Saha, Pushpak Bhattacharyya
2020	A*	`conf`	A Survey on Using Gaze Behaviour for Natural Language Processing. IJCAI Sandeep Mathias, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya
2020	—	`conf`	Can Neural Networks Automatically Score Essay Traits? BEA@ACL Sandeep Mathias, Pushpak Bhattacharyya
2020	—	`conf`	Cognitively Aided Zero-Shot Automatic Essay Grading. ICON Sandeep Mathias, V. Rudra Murthy, Diptesh Kanojia, Pushpak Bhattacharyya
2020	—	`conf`	Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour. AACL/IJCNLP Sandeep Mathias, V. Rudra Murthy, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya
2020	J	`jnl`	Happy Are Those Who Grade without Seeing: A Multi-Task Learning Approach to Grade Essays Using Gaze Behaviour. CoRR Sandeep Mathias, V. Rudra Murthy, Diptesh Kanojia, Abhijit Mishra, Pushpak Bhattacharyya
2018	B	`conf`	ASAP++: Enriching the ASAP Automated Essay Grading Dataset with Essay Attribute Scores. LREC Sandeep Mathias, Pushpak Bhattacharyya
2018	—	`conf`	Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour. ACL (1) Sandeep Mathias, Diptesh Kanojia, Kevin Patel, Samarth Agrawal, Pushpak Bhattacharyya
2018	J	`jnl`	Eyes are the Windows to the Soul: Predicting the Rating of Text Quality Using Gaze Behaviour. CoRR Sandeep Mathias, Diptesh Kanojia, Kevin Patel, Samarth Agrawal, Abhijit Mishra, Pushpak Bhattacharyya
2018	—	`conf`	Thank "Goodness"! A Way to Measure Style in Student Essays. NLP-TEA@ACL Sandeep Mathias, Pushpak Bhattacharyya
2018	—	`conf`	The Whole is Greater than the Sum of its Parts: Towards the Effectiveness of Voting Ensemble Classifiers for Complex Word Identification. BEA@NAACL-HLT Nikhil Wani, Sandeep Mathias, Jayashree Aanand Gajjam, Pushpak Bhattacharyya

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.