Aalap Tripathy

18 papers A* 1A 1B 2Misc 1Journal 3Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	InfrastructureSentinel: Policy Enforced Guardrails for Secure MCP-driven Infrastructure Agents. AAAI Tarun Kumar, Aalap Tripathy, Gayathri Saranathan, Martin Foltin, Suparna Bhattacharya, Scott Hinchley, Donald M. Bahls, David Brookshire, Larry Kaplan, Robert W. Wisniewski
2025	—	`conf`	Framework for tracking metadata, lineage and model provenance in hybrid simulation-AI HPC exascale workflows. CUG Martin Foltin, Andrew Shao, Rishabh Sharma, Shreyas Kulkarni, Ann Mary Justine Koomthanam, Aalap Tripathy, Cong Xu, Wenqian Dong, Suparna Bhattacharya, Brian Sammuli, Paolo Faraboschi
2024	—	`conf`	Active Learning Surrogates for Integrating Electron Microscopy and Computational Insights from Simulations in Autonomous Experiments. SC Workshops Gayathri Saranathan, Ayana Ghosh, Martin Foltin, Ann Mary Justine Koomthanam, Aalap Tripathy, Maxim A. Ziatdinov, Suparna Bhattacharya, Kevin Roccapriore, Paolo Faraboschi
2024	J	`jnl`	Common Metadata Framework: Integrated Framework for Trustworthy Artificial Intelligence Pipelines. IEEE Internet Comput. Ann Mary Justine Koomthanam, Aalap Tripathy, Sergey Serebryakov, Gyanaranjan Nayak, Martin Foltin, Suparna Bhattacharya
2024	J	`jnl`	Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. Frontiers Big Data Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit P. Sheth
2024	—	`conf`	Towards FAIR Workflows for Federated Experimental Sciences. CAI Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Annmary Justine, Maxim A. Ziatdinov, Ayana Ghosh, Kevin Roccapriore, Supama Bhattacharya, Paolo Faraboschi
2023	J	`jnl`	Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability. IEEE Internet Comput. Revathy Venkataramanan, Aalap Tripathy, Martin Foltin, Hong Yung Yip, Annmary Justine, Amit P. Sheth
2023	—	`conf`	Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. SC Workshops Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Maxim A. Ziatdinov, Ann Mary Justine Koomthanam, Suparna Bhattacharya, Ayana Ghosh, Kevin Roccapriore, Sreenivas Rangan Sukumar, Paolo Faraboschi
2022	B	`conf`	Self-learning Data Foundation for Scientific AI. SMC Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin
2013	—	`conf`	A reconfigurable computing architecture for semantic information filtering. IEEE BigData Aalap Tripathy, Ka Chon Ieong, Atish Patra, Rabi N. Mahapatra
2013	B	`conf`	Distributed Collaborative Filtering on a Single Chip Cloud Computer. IC2E Aalap Tripathy, Atish Patra, Suneil Mohan, Rabi N. Mahapatra
2012	—	`conf`	Designing a Collaborative Filtering Recommender on the Single Chip Cloud Computer. SC Companion Aalap Tripathy, Atish Patra, Suneil Mohan, Rabi N. Mahapatra
2012	—	`conf`	Optimizing a Collaborative Filtering Recommender for Many-Core Processors. ICSC Aalap Tripathy, Suneil Mohan, Rabi N. Mahapatra
2011	—	`conf`	Optimizing a Semantic Comparator Using CUDA-enabled Graphics Hardware. ICSC Aalap Tripathy, Suneil Mohan, Rabi N. Mahapatra
2011	—	`conf`	Parallel Processor Core for Semantic Search Engines. IPDPS Workshops Suneil Mohan, Aalap Tripathy, Amitava Biswas, Rabi N. Mahapatra
2010	A	`conf`	A parallel architecture for meaning comparison. IPDPS Suneil Mohan, Amitava Biswas, Aalap Tripathy, Jagannath Panigrahy, Rabi N. Mahapatra
2009	Misc	`conf`	Representation of Complex Concepts for Semantic Routed Network. ICDCN Amitava Biswas, Suneil Mohan, Jagannath Panigrahy, Aalap Tripathy, Rabi N. Mahapatra
2009	—	`conf`	Semantic Key for Meaning Based Searching. ICSC Amitava Biswas, Suneil Mohan, Aalap Tripathy, Jagannath Panigrahy, Rabi N. Mahapatra

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.