Adina Crainiceanu
(A-di-na Cray-nee-cha-noo)

Associate Professor

Computer Science Department
United States Naval Academy
572M Holloway Road, Stop 9F
Annapolis, MD, 21402-5002, USA
Phone: 1 (410) 293-6822
Fax: 1 (410) 293-2686
Email: adina [at] usna [dot] edu



My research lies at the intersection of databases and distributed systems, with a focus on finding information in dynamic, large, decentralized systems (designing efficient index structures and algorithms ). Another focus is on organizing, storing and ultimately processing different types of data (relational, XML, RDF, etc) Specific projects include building systems and algorithms for distributed data provenance to keep track of data as it is created, modified, and transmitted between multiple users/systems, and creating a distributed index for XML data to allow fast query processing for XPath queries.


Selected Publications:

Fan Yang, Adina Crainiceanu, Zhiyuan Chen, Don Needham. Cluster-Based Join for Geographically Distributed Big RDF Data. IEEE BigData Congress (July 2019)

Samson Oni, Zhiyuan Chen, Adina Crainiceanu, Karuna Joshi, Don Needham. Situation-Aware Access Control in Federated Data-as-a-Service for Maritime Search And Rescue. IEEE International Conference on Services Computing (SCC 2019). (July 2019)

Ciprian Crainiceanu, Adina Crainiceanu. Upstrap. Biostatistics. (September 2018)

Rachel Cooper, Lei Huang, Rebecca Hardy, Adina Crainiceanu, Tamara Harris, Jennifer Schrack, Ciprian Crainiceanu, Diana Kuh. Obesity history and daily patterns of physical activity at age 60-64 years: findings from the MRC National Survey of Health and Development. Journal of Gerontology: Medical Sciences (2017)

Adina Crainiceanu, Daniel Lemire. Bloofi: Multidimensional Bloom Filters. Information Systems (2015)

Adina Crainiceanu. Bloofi: A Hierarchical Bloom Filter Index with Applications to Distributed Data Provenance. Cloud Intelligence (Cloud-I 2013) - a VLDB 2013 Workshop (August 2013)

Roshan Punnoose, Adina Crainiceanu, David Rapp. SPARQL in the Clouds Using Rya. Information Systems Journal (2013)

H Shou, A Eloyan, S Lee, V Zipunnikov, Adina Crainiceanu, MB Nebel, B Caffo, MA Lindquist, CM Crainiceanu. Quantifying the reliability of image replication studies: The image intraclass correlation coefficient (I2C2). Cognitive, Affective, & Behavioral Neuroscience. 13(4), p. 714-724, 2013

Roshan Punnoose, Adina Crainiceanu, David Rapp. Rya: A Scalable RDF Triple Store for the Clouds. Cloud Intelligence - a VLDB 2012 Workshop (August 2012)

Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram. Load Balancing and Range Queries in P2P Systems using P-Ring. ACM Transactions on Internet Technology (TOIT). 10, 4, Article 16 (March 2011)

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