Olimpiya Saha

14 papers A 1Misc 1Journal 5Unranked 7

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it. CoRR Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha, Pelin Kurt Garberson, Javad Heydari, Mohak Shah
2021	—	`conf`	Deep Reinforcement Learning Based Online Area Covering Autonomous Robot. ICARA Olimpiya Saha, Guohua Ren, Javad Heydari, Viswanath Ganapathy, Mohak Shah
2021	—	`conf`	Efficient Coverage Path Planning in Initially Unknown Environments Using Graph Representation. ICAR Olimpiya Saha, Viswanath Ganapathy, Javad Heydari, Guohua Ren, Mohak Shah
2021	—	`conf`	Online Area Covering Robot in Unknown Dynamic Environments. ICARA Olimpiya Saha, Guohua Ren, Javad Heydari, Viswanath Ganapathy, Mohak Shah
2021	J	`jnl`	Reinforcement Learning-Based Coverage Path Planning with Implicit Cellular Decomposition. CoRR Javad Heydari, Olimpiya Saha, Viswanath Ganapathy
2019	J	`jnl`	Real-time robot path planning from simple to complex obstacle patterns via transfer learning of options. Auton. Robots Olimpiya Saha, Prithviraj Dasgupta, Bradley Woosley
2018	J	`jnl`	A Comprehensive Survey of Recent Trends in Cloud Robotics Architectures and Applications. Robotics Olimpiya Saha, Prithviraj Dasgupta
2018	Misc	`conf`	Efficient Real-Time Robot Navigation Using Incremental State Discovery Via Clustering. FLAIRS Olimpiya Saha, Prithviraj Dasgupta
2018	J	`jnl`	Experience Learning From Basic Patterns for Efficient Robot Navigation in Indoor Environments. J. Intell. Robotic Syst. Olimpiya Saha, Prithviraj Dasgupta
2017	—	`conf`	Improved reward estimation for efficient robot navigation using inverse reinforcement learning. AHS Olimpiya Saha, Prithviraj Dasgupta
2017	—	`conf`	Real-time robot path planning around complex obstacle patterns through learning and transferring options. ICARSC Olimpiya Saha, Prithviraj Dasgupta
2016	—	`conf`	Fast Path Planning Using Experience Learning from Obstacle Patterns. AAAI Spring Symposia Olimpiya Saha, Prithviraj Dasgupta
2016	A	`conf`	Real-time Robot Path Planning Using Experience Learning From Common Obstacle Patterns: (Extended Abstract). AAMAS Olimpiya Saha, Prithviraj Dasgupta
2015	—	`conf`	Factors Affecting the Adoption of Online Discussion Boards in Physical Learning Environments. AMCIS Stacie Petter, Olimpiya Saha, Jie Xiong

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.