Raju Hazari

23 papers Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
2026 — conf
CA-CNN Deep Learning Model for Image Classification.
ASCAT
M. J. Elizabeth, Raju Hazari
2026 — ed.
Cellular Automata Technology - 5th Asian Symposium, ASCAT 2026, Calicut, India, February 25-27, 2026, Revised Selected Papers
ASCAT
Raju Hazari, Sukanta Das, Jimmy Jose
2026 J jnl
Cross-modal uncertainty modeling framework for unseen video anomaly detection.
Neurocomputing
Prabhu Prasad Dev, Pranesh Das, Raju Hazari
2025 — conf
Cellular Automata-based Toxicity Analysis for Social Media Comments.
ASCAT
M. J. Elizabeth, Raju Hazari
2025 J jnl
Cellular Automaton-Based Sentiment Analysis for Bipolar Classification of Reviews.
Complex Syst.
Elizabeth M. J, Parimal Pal Chaudhuri, Raju Hazari
2025 J jnl
SCACSBD: a scalable clustering approach for complex-shaped big data.
J. Supercomput.
Agnijit Basu, Binu Jose Ambrose, Raju Hazari, Pranesh Das
2025 — conf
Spec-SCAN: Spectrum Learning in Shared Channel using Neural Networks.
CCNC
Raju Hazari, Gaurav Singh, Devika Renjith, Divya Krishnan, Pavanitha B, Habeeb Olufowobi, Debashri Roy
2024 J jnl
Cellular Automaton-Based Sentiment Analysis Using Deep Learning Methods.
Complex Syst.
M. J. Elizabeth, Raju Hazari
2024 — conf
Enhancing Automated Short Answer Grading with Prompt-Driven Augmentation and Prompt Adaptive Oversampling.
ICPR (31)
P. P. Afeefa, Raju Hazari, Pranesh Das
2024 — conf
MCANet: Multimodal Caption Aware Training-Free Video Anomaly Detection via Large Language Model.
ICPR (32)
Prabhu Prasad Dev, Raju Hazari, Pranesh Das
2024 — conf
Sentiment Analysis for Code-Mixed Data Using Cellular Automata with Deep Learning Models.
ACRI
M. J. Elizabeth, Avinash Krishna Kommineni, Raju Hazari
2023 — conf
Cellular Automata-Based Sentiment Analysis.
ASCAT
M. J. Elizabeth, Akash Kumar Panda, Parimal Pal Chaudhuri, Raju Hazari
2023 — conf
MSDeepNet: A Novel Multi-stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos.
DeLTA
Prabhu Prasad Dev, Pranesh Das, Raju Hazari
2022 — conf
A New Notion of Universality in Respect of Logic Gates Generation Capability of ECAs.
ASCAT
Raju Hazari
2022 J jnl
Analysis of Coronavirus Envelope Protein with Cellular Automata (CA) Model.
CoRR
Raju Hazari, Parimal Pal Chaudhuri
2022 J jnl
Analysis of coronavirus envelope protein with cellular automata model.
Int. J. Parallel Emergent Distributed Syst.
Raju Hazari, Parimal Pal Chaudhuri
2022 — conf
Cellular Automata Enhanced Machine Learning Model for Toxic Text Classification.
ACRI
M. J. Elizabeth, Shekhat Meet Parsotambhai, Raju Hazari
2022 J jnl
Cellular Automata Model for Non-Structural Proteins Comparing Transmissibility and Pathogenesis of SARS Covid (CoV-2, CoV) and MERS Covid.
CoRR
Raju Hazari, Parimal Pal Chaudhuri
2018 J jnl
ECA 184 Can Implement Any Logic Circuits.
J. Cell. Autom.
Raju Hazari, Soma Kundu, Mahima Bhardwaj, Sukanta Das
2018 J jnl
Number Conservation Property of Binary Cellular Automata Under α-Asynchronous Update.
J. Cell. Autom.
Raju Hazari, Sukanta Das
2016 J jnl
On Number Conservation of Non-uniform Cellular Automata.
CoRR
Raju Hazari, Sukanta Das
2014 J jnl
Number Conservation Property of Elementary Cellular Automata under Asynchronous Update.
Complex Syst.
Raju Hazari, Sukanta Das
2012 — conf
Design of Hardware for Deterministic Nagel-Schreckenberg Traffic Model.
ISED
Raju Hazari, Kamalika Bhattacharjee, Sukanta Das

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.