Padmashree Ravindra

22 papers A* 1B 2Misc 1Journal 3Unranked 14

Year	Rank	Type	Title / Venue / Authors
2017	—	`conf`	A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop. IEEE BigData HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
2017	A*	`conf`	Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching. WWW HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
2016	B	`conf`	Optimization of Complex SPARQL Analytical Queries. EDBT Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
2016	—	`conf`	Predicting 30-Day Risk and Cost of "All-Cause" Hospital Readmissions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Shanu Sushmita, Garima Khulbe, Aftab Hasan, Stacey Newman, Padmashree Ravindra, Senjuti Basu Roy, Martine De Cock, Ankur Teredesai
2015	—	`conf`	Rewriting complex SPARQL analytical queries for efficient cloud-based processing. IEEE BigData Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
2015	B	`conf`	Scaling Unbound-Property Queries on Big RDF Data Warehouses using MapReduce. EDBT Padmashree Ravindra, Kemafor Anyanwu
2015	—	`conf`	Shared Execution of Clustering Tasks. BigMine Padmashree Ravindra, Rajeev Gupta, Kemafor Anyanwu
2014	—	`conf`	A Semantics-Oriented Storage Model for Big Heterogeneous RDF Data. ISWC (Posters & Demos) HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
2014	—	`ch.`	Algebraic Optimization of RDF Graph Pattern Queries on MapReduce. Large Scale and Big Data Kemafor Anyanwu, Padmashree Ravindra, HyeongSik Kim
2014	J	`jnl`	Nesting Strategies for Enabling Nimble MapReduce Dataflows for Large RDF Data. Int. J. Semantic Web Inf. Syst. Padmashree Ravindra, Kemafor Anyanwu
2014	—	`conf`	SYRql: A Dataflow Language for Large Scale Processing of RDF Data. ISWC (1) Fadi Maali, Padmashree Ravindra, Kemafor Anyanwu, Stefan Decker
2014	—	`conf`	Towards optimization of RDF analytical queries on MapReduce. ICDE Workshops Padmashree Ravindra
2013	—	`conf`	Adaptive Information Passing for Early State Pruning in MapReduce Data Processing Workflows. ICAC Seokyong Hong, Padmashree Ravindra, Kemafor Anyanwu
2013	J	`jnl`	Algebraic Optimization for Processing Graph Pattern Queries in the Cloud. IEEE Internet Comput. Kemafor Anyanwu, HyeongSik Kim, Padmashree Ravindra
2013	—	`conf`	Optimizing RDF(S) queries on cloud platforms. WWW (Companion Volume) HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
2013	—	`conf`	Scalable processing of flexible graph pattern queries on the cloud. WWW (Companion Volume) Padmashree Ravindra, Kemafor Anyanwu
2012	—	`conf`	Scan-Sharing for Optimizing RDF Graph Pattern Matching on MapReduce. IEEE CLOUD HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
2012	—	`conf`	To nest or not to nest, when and how much: representing intermediate results of graph pattern queries in MapReduce based processing. SWIM Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
2011	—	`conf`	An Intermediate Algebra for Optimizing RDF Graph Pattern Matching on MapReduce. ESWC (2) Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
2011	J	`jnl`	From SPARQL to MapReduce: The Journey Using a Nested TripleGroup Algebra. Proc. VLDB Endow. HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
2010	—	`conf`	Towards scalable RDF graph analytics on MapReduce. MDAC@WWW Padmashree Ravindra, Vikas V. Deshpande, Kemafor Anyanwu
2009	Misc	`conf`	RAPID: Enabling Scalable Ad-Hoc Analytics on the Semantic Web. ISWC Radhika Sridhar, Padmashree Ravindra, Kemafor Anyanwu

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.