Sainik Kumar Mahata

30 papers Journal 16Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Dynamics of Character Embeddings in Indian Mythology: A Physics-Informed Neural Networks Approach. FIRE Apurba Paul, Anish Goswami, Sainik Kumar Mahata, Dipankar Das
2024	—	`conf`	A Hybrid Approach to Sarcasm Detection in Dravidian Code-Mixed Texts. FIRE (Working Notes) Prasun Maity, Dipanjan Saha, Sayan Das, Sainik Kumar Mahata
2024	J	`jnl`	Consensus-Based Machine Translation for Code-Mixed Texts. ACM Trans. Asian Low Resour. Lang. Inf. Process. Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2024	—	`conf`	Enhancing Accuracy in Indian Language Summarization. FIRE (Working Notes) Rishika Jha, Rakshit Ahuja, Sainik Kumar Mahata, Monalisa Dey, Dipankar Das
2024	J	`jnl`	Security Threats in Agentic AI System. CoRR Raihan Khan, Sayak Sarkar, Sainik Kumar Mahata, Edwin Jose
2022	J	`jnl`	Simplification of English and Bengali Sentences for Improving Quality of Machine Translation. Neural Process. Lett. Sainik Kumar Mahata, Avishek Garain, Dipankar Das, Sivaji Bandyopadhyay
2021	—	`conf`	Classification of COVID19 tweets using Machine Learning Approaches. SMM4H@NAACL-HLT Anupam Mondal, Sainik Kumar Mahata, Monalisa Dey, Dipankar Das
2021	J	`jnl`	Investigating the roles of sentiment in machine translation. Mach. Transl. Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2020	J	`jnl`	Development of POS tagger for English-Bengali Code-Mixed data. CoRR Tathagata Raha, Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2020	—	`conf`	JUNLP at SemEval-2020 Task 9: Sentiment Analysis of Hindi-English Code Mixed Data Using Grid Search Cross Validation. SemEval@COLING Avishek Garain, Sainik Kumar Mahata, Dipankar Das
2020	—	`conf`	JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags. FIRE (Working Notes) Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2020	J	`jnl`	JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags. CoRR Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2020	J	`jnl`	JUNLP@SemEval-2020 Task 9: Sentiment Analysis of Hindi-English code mixed data. CoRR Avishek Garain, Sainik Kumar Mahata, Dipankar Das
2020	—	`conf`	Performance Gain in Low Resource MT with Transfer Learning: An Analysis concerning Language Families. FIRE Sainik Kumar Mahata, Subhabrata Dutta, Dipankar Das, Sivaji Bandyopadhyay
2020	J	`jnl`	Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation. CoRR Sainik Kumar Mahata, Amrita Chandra, Dipankar Das, Sivaji Bandyopadhyay
2019	—	`conf`	Code-Mixed to Monolingual Translation Framework. FIRE Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay
2019	J	`jnl`	Code-Mixed to Monolingual Translation Framework. CoRR Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay
2019	J	`jnl`	JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English. CoRR Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2019	—	`conf`	JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English. WMT (2) Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, Sivaji Bandyopadhyay
2019	J	`jnl`	JUMT at WMT2019 News Translation Task: A Hybrid approach to Machine Translation for Lithuanian to English. CoRR Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, Sivaji Bandyopadhyay
2019	J	`jnl`	MTIL2017: Machine Translation Using Recurrent Neural Network on Statistical Machine Translation. J. Intell. Syst. Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2019	J	`jnl`	Normalyzing Numeronyms - A NLP approach. CoRR Avishek Garain, Sainik Kumar Mahata, Subhabrata Dutta
2019	—	`conf`	Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet Level Using Deep Learning. IberLEF@SEPLN Avishek Garain, Sainik Kumar Mahata
2019	J	`jnl`	Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning. CoRR Avishek Garain, Sainik Kumar Mahata
2018	—	`conf`	JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English. WMT (shared task) Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2018	J	`jnl`	Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages. CoRR Soumil Mandal, Sainik Kumar Mahata, Dipankar Das
2018	J	`jnl`	SMT vs NMT: A Comparison over Hindi & Bengali Simple Sentences. CoRR Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay
2018	—	`conf`	SMT vs NMT: A Comparison over Hindi and Bengali Simple Sentences. ICON Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay
2017	—	`conf`	BUCC2017: A Hybrid Approach for Identifying Parallel Sentences in Comparable Corpora. BUCC@ACL Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
2016	—	`conf`	WMT2016: A Hybrid Approach to Bilingual Document Alignment. WMT Sainik Kumar Mahata, Dipankar Das, Santanu Pal

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.