Uma Maheswari Balasubramanian

11 papers Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated System to Optimize the Process and Energy Consumption for Sewage Treatment Plant Based on Gas Emission by Using Sensors and IoT. IEEE Access S. Ullas, Uma Maheswari Balasubramanian, Seshaiah Ponnekanti, T. M. Mohan Kumar
2025	J	`jnl`	Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications. IEEE Access Vadivel Shanmugam, Uma Maheswari Balasubramanian
2024	J	`jnl`	An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks. Big Data Min. Anal. Saravanan Selvam, Uma Maheswari Balasubramanian
2024	J	`jnl`	Crossover Boosted Grey Wolf Optimizer-based framework for leader election and resource allocation in Intrusion Detection Systems for MANETs. Trans. Emerg. Telecommun. Technol. Saravanan Selvaraj, Manikandan Nanjappan, Mythili Nagalingam, Uma Maheswari Balasubramanian
2024	J	`jnl`	Dynamic behavioral profiling for anomaly detection in software-defined IoT networks: A machine learning approach. Peer Peer Netw. Appl. Senthilraja P, Kanmani Palaniappan, Brindha Duraipandi, Uma Maheswari Balasubramanian
2024	J	`jnl`	UASDAC: An Unsupervised Adaptive Scalable DDoS Attack Classification in Large-Scale IoT Network Under Concept Drift. IEEE Access Saravanan Selvam, Uma Maheswari Balasubramanian
2023	—	`conf`	Ensemble Learning Based Social Engineering Fraud Detection Module for Cryptocurrency Transactions. MIKE Vishvesh Pathak, Uma Maheswari Balasubramanian, S. Geetha
2023	J	`jnl`	Forecasting Coronary Heart Disease Risk With a 2-Step Hybrid Ensemble Learning Method and Forward Feature Selection Algorithm. IEEE Access Sushree Chinmayee Patra, Uma Maheswari Balasubramanian, Peeta Basa Pati
2019	J	`jnl`	An Improved Delay Resistant Adaptive Multicasting Strategy for High Definition Video Delivery in Wireless Overlay Network. Wirel. Pers. Commun. Uma Maheswari Balasubramanian, T. K. Ramesh Shetty
2018	J	`jnl`	An Improved Delay-Resistant and Reliable Hybrid Overlay for Peer-to-Peer Video Streaming in Wired and Wireless Networks. IEEE Access Uma Maheswari Balasubramanian, T. K. Ramesh Shetty
2018	—	`conf`	Improved Quality Detection Technique for Fruits Using GLCM and MultiClass SVM. ICACCI AKNS Aishwarya Chandini, Uma Maheswari Balasubramanian

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.