Sabbir M. Rashid

30 papers B 1Journal 8Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Designing and Evaluating an Ensemble Reasoning-based Clinical Decision Support System. Data Intell. Sabbir M. Rashid, Deborah L. McGuinness
2025	—	`conf`	Improving Tabular Reusability Through Data Dictionary Descriptions. ICSC Matthew Johnson, Sabbir M. Rashid, Deborah L. McGuinness
2024	—	`conf`	ARCLIGHT: Automated Clustering and Curriculum Learning Guided by Human Training. HGAIS@ISWC Jamie P. McCusker, Henrique Santos, Rishi Singh, Sabbir M. Rashid, Abraham Sanders, Grace Roessling, Hongji Guo, Bashirul Azam Biswas, Deborah L. McGuinness, Tomek Strzalkowski, Qiang Ji, Jay Miller
2024	—	`conf`	Supporting Next-Generation Science with a Semantic Ecosystem. ISWC (Posters/Demos/Industry) Sabbir M. Rashid, John S. Erickson, Jamie P. McCusker, Henrique Santos, Paulo Pinheiro, Shruthi Chari, Matthew Johnson, Jade S. Franklin, Kelsey Rook, Deborah L. McGuinness
2023	B	`conf`	A Concise Ontology to Support Research on Complex, Multimodal Clinical Reasoning. ESWC Sabbir M. Rashid, Jamie P. McCusker, Daniel M. Gruen, Oshani Seneviratne, Deborah L. McGuinness
2023	—	`conf`	SciKG: Tutorial on Building Scientific Knowledge Graphs from Data, Data Dictionaries, and Codebooks. ESWC Workshops Henrique Santos, Paulo Pinheiro, Jamie P. McCusker, Sabbir M. Rashid, Deborah L. McGuinness
2023	J	`jnl`	Semantically enabling clinical decision support recommendations. J. Biomed. Semant. Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Jamie P. McCusker, Jade S. Franklin, Miao Qi, Kristin P. Bennett, Ching-Hua Chen, James A. Hendler, Deborah L. McGuinness
2022	J	`jnl`	Knowledge Graphs. ACM Comput. Surv. Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann
2021	—	`conf`	Creating and Visualizing the Materials Science Knowledge Graph with Whyis. ISWC (Posters/Demos/Industry) Jamie P. McCusker, Michael Deagen, Tolulomo Fateye, Anya Wallace, Sabbir M. Rashid, Deborah L. McGuinness
2021	—	`book`	Knowledge Graphs Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, José Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann
2020	—	`conf`	Employing Hybrid Reasoning to Support Clinical Decision-Making/span. DC@ISWC Sabbir M. Rashid
2020	J	`jnl`	Knowledge Graphs. CoRR Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, José Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, Sabbir M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan F. Sequeda, Steffen Staab, Antoine Zimmermann
2020	—	`conf`	NanoMine: A Knowledge Graph for Nanocomposite Materials Science. ISWC (2) Jamie P. McCusker, Neha Keshan, Sabbir M. Rashid, Michael Deagen, L. Catherine Brinson, Deborah L. McGuinness
2020	J	`jnl`	The Semantic Data Dictionary - An Approach for Describing and Annotating Data. Data Intell. Sabbir M. Rashid, James P. McCusker, Paulo Pinheiro, Marcello Peixoto Bax, Henrique Santos, Jeanette A. Stingone, Amar K. Das, Deborah L. McGuinness
2019	—	`conf`	Automating Population Health Studies Through Semantics and Statistics. SAWSemStats@ISWC Alexander New, Miao Qi, Shruthi Chari, Sabbir M. Rashid, Oshani Seneviratne, Jamie P. McCusker, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
2019	—	`conf`	Enabling Trust in Clinical Decision Support Recommendations through Semantics. SeWeBMeDa@ISWC Oshani Seneviratne, Amar K. Das, Shruthi Chari, Nkechinyere N. Agu, Sabbir M. Rashid, Ching-Hua Chen, Jamie P. McCusker, James A. Hendler, Deborah L. McGuinness
2019	J	`jnl`	Reflections on Successful Research in Artificial Intelligence: An Introduction. AI Mag. Ching-Hua Chen, James A. Hendler, Sabbir M. Rashid, Oshani Seneviratne, Daby Sow, Biplav Srivastava
2019	—	`conf`	Semantically-targeted analytics for reproducible scientific discovery. AIDR Alexander New, Shruthi Chari, Miao Qi, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
2018	—	`conf`	A Music Theory Ontology. SAAM@ISWC Sabbir M. Rashid, David De Roure, Deborah L. McGuinness
2018	—	`conf`	Annotating Diverse Scientific Data With HAScO. ONTOBRAS Paulo Pinheiro, Marcello Peixoto Bax, Henrique Santos, Sabbir M. Rashid, Zhicheng Liang, Yue Liu, Yarden Ne'eman, Jamie P. McCusker, Deborah L. McGuinness
2018	—	`conf`	Creating and Using an Education Standards Ontology to Improve Education. SW4SG@ISWC Sabbir M. Rashid, Deborah L. McGuinness
2018	—	`conf`	Developing Scientific Knowledge Graphs Using Whyis. SemSci@ISWC Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness
2018	—	`conf`	HADatAc: A Framework for Scientific Data Integration using Ontologies. ISWC (P&D/Industry/BlueSky) Paulo Pinheiro, Henrique Santos, Zhicheng Liang, Yue Liu, Sabbir M. Rashid, Deborah L. McGuinness, Marcello Peixoto Bax
2018	—	`conf`	Knowledge Integration for Disease Characterization: A Breast Cancer Example. ISWC (2) Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness
2018	J	`jnl`	Knowledge Integration for Disease Characterization: A Breast Cancer Example. CoRR Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, James A. Hendler, Deborah L. McGuinness
2018	—	`conf`	Ontology-enabled Breast Cancer Characterization. ISWC (P&D/Industry/BlueSky) Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari, Jamie P. McCusker, Kristin P. Bennett, Jim Hendler, Deborah L. McGuinness
2018	J	`jnl`	Semantically-aware population health risk analyses. CoRR Alexander New, Sabbir M. Rashid, John S. Erickson, Deborah L. McGuinness, Kristin P. Bennett
2018	—	`conf`	The Whyis Knowledge Graph Framework in Action. ISWC (P&D/Industry/BlueSky) Jamie P. McCusker, Sabbir M. Rashid, Nkechinyere Agu, Kristin P. Bennett, Deborah L. McGuinness
2017	—	`conf`	Broad, Interdisciplinary Science WebSci Jamie P. McCusker, Sabbir M. Rashid, Zhicheng Liang, Yue Liu, Katherine Chastain, Paulo Pinheiro, Jeanette A. Stingone, Deborah L. McGuinness
2017	—	`conf`	The Semantic Data Dictionary Approach to Data Annotation & Integration. SemSci@ISWC Sabbir M. Rashid, Katherine Chastain, Jeanette A. Stingone, Deborah L. McGuinness, Jamie P. McCusker

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.