Publications

Conference and Workshop Proceedings

• 1. Andre Kashliev*, "Typetheoretic Approach to Big Data Workflow Composition", IEEE International Conference on Electronic Communications, Internet of Things and Big Data (IEEE ICEIB), research article, in press, 2024.

  2. Andre Kashliev, Kaitlyn Tracy, "A Provenance-Aware Approach to Big Data Workflow Management in Heterogeneous Cloud Environments",  International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), research article, in press, 2024.

  3. Andrii Kashliev, "Storage and Querying of Large Provenance Graphs Using NoSQL DSE", IEEE International Conference on Intelligent Data and Security (IEEE IDS), pp. 260-262, Baltimore, MD, USA, 2020.

  4. Artem Chebotko, Andrey Kashlev, Shiyong Lu, “A Big Data Modeling Methodology for Apache Cassandra”, in Proc. of the IEEE International Congress on Big Data (BigData Congress), pp. 238-245, New York, NY, Research Track, 2015. Acceptance rate: 20%. pdf

  5. Mahdi Ebrahimi, Aravind Mohan, Shiyong Lu, and Andrey Kashlev, “BDAP: A Big Data Placement Strategy for Cloud-Based Scientific Workflows”, in Proc. of the First IEEE International Conference on Big Data Computing Services and Applications (BigDataService), pp. 105-114, San Francisco, CA, 2015. Acceptance rate: 26%. pdf

  6. Andrey Kashlev, Shiyong Lu, “A System Architecture for Running Big Data Workflows in the Cloud”, in Proc. of the IEEE International Conference on Services Computing (SCC), pp. 51-58, Anchorage, AK, Research Track, 2014. Acceptance rate: 19%. pdf

  7. Andrey Kashlev, Shiyong Lu, and Artem Chebotko, “Coercion Approach to the Shimming Problem in Scientific Workflows”, in Proc. of the IEEE International Conference on Services Computing (SCC), pp. 416-423, Santa Clara, CA, 2013. pdf

  8. Artem Chebotko, John Abraham, Pearl Brazier, Anthony Piazza, Andrey Kashlev, and Shiyong Lu, “Storing, Indexing and Querying Large Provenance Data Sets as RDF Graphs in Apache HBase”, in Proc. of the IEEE International Workshop on Scientific Workflows: Advances in Workflows Addressing the Big Data Challenge (SWF), pp. 1-8, Santa Clara, CA, 2013. pdf

  9. Andrey Kashlev, Artem Chebotko, John Abraham, Pearl Brazier, and Shiyong Lu, “Benchmarking Bottom-Up and Top-Down Strategies for SPARQL-to-SQL Query Translation”, in Proc. of the 2012 International Conference on Semantic Web and Web Services (SWWS'12), pp. 17-23, Las Vegas, Nevada, 2012. Acceptance rate: 29%. pdf

  10. Artem Chebotko, Eugenio De Hoyos, Carlos Gomez, Andrey Kashlev, Xiang Lian, and Christine Reilly, “UTPB: A Benchmark for Scientific Workflow Provenance Storage and Querying Systems”, in Proc. of IEEE International Workshop on Scientific Workflows (SWF'12), pp. 17-24, Honolulu, Hawaii, 2012. pdf

  11. Andrey Kashlev and Artem Chebotko, “SPARQL-to-SQL Query Translation: Bottom-Up or Top-Down?”, in Proc. of the IEEE International Conference on Services Computing (SCC), pp. 757-758, Washington DC,  2011. pdf

  12. Pearl Brazier, Artem Chebotko, Eric Gonzalez, Andrey Kashlev, and Anthony Piazza, “Supporting Geosciences Web Services Metadata Management and Discovery”, in Proc. of the IEEE International Conference on Services Computing (SCC), pp. 625-626, Miami, FL, 2010. pdf

Journal Articles

• 1. Andrey Kashlev, Shiyong Lu, Aravind Mohan, "Big Data Workflows: A Reference Architecture and the DATAVIEW System", Services Transactions on Big Data (STBD), 4(1), pp.1-19, 2017. pdf

  2. Andrey Kashlev, Shiyong Lu, and Artem Chebotko, “Typetheoretic Approach to the Shimming Problem in Scientific Workflows”, IEEE Transactions on Services Computing (TSC), 8(5), pp.795-809, Impact factor: 2.36, 2015. pdf

  3. Mahdi Ebrahimi, Aravind Mohan, Andrey Kashlev, Shiyong Lu, and Robert Reynolds, “Task and Data Allocation Strategies for Big Data Workflows”, International Journal of Big Data (IJBD), 2(2), pp.28-42, 2015. pdf

  4. Chunhyeok Lim, Shiyong Lu, Artem Chebotko, Farshad Fotouhi, and Andrey Kashlev, "OPQL: Querying Scientific Workflow Provenance at the Graph Level", Data & Knowledge Engineering (DKE), vol. 88, pp.37-59, 2013. pdf

  5. Zijiang Yang, Shiyong Lu, Ping Yang, and, Andrey Kashlev, “Trustworthy and Dynamic Mobile Task Scheduling in Data-Intensive Scientific Workflow Environments”, International Journal of Computers and Their Applications (IJCA), 20(2), pp.65-77, 2013. pdf

Ph.D. Dissertation

• • Andrii Kashliev, "Big Data Management Using Scientific Workflows", Department of Computer Science, Wayne State University, 2016.​

Technical Reports 

• 1. Andrii Kashliev, "Storing and Querying Large Provenance Graphs in the Cloud Using NoSQL DSE", Technical Report TR-BIGDATA-032020-K, Dept. of Computer Science, Eastern Michigan University, 2020. pdf

1. Andrey Kashlev, "KDM Data Modeling Tool in Action: An IoT Application", Technical Report TR-BIGDATA-012018-K-pt1, Dept. of Computer Science, Eastern Michigan University, 2018. pdf

   1. Andrey Kashlev, "KDM Data Modeling Tool in Action: A Media Cataloging Application", Technical Report, TR-BIGDATA-012018-K-pt2, Dept. of Computer Science, Eastern Michigan University, 2018. pdf

   2. Artem Chebotko, Andrey Kashlev, and Shiyong Lu, “A Big Data Modeling Methodology for Apache Cassandra”, Technical Report TR-BIGDATA-05-2015-CKL, Dept. of Computer Science, Wayne State University, 2015. pdf

   3. Andrey Kashlev and Shiyong Lu, “A System Architecture for Running Big Data Workflows in the Cloud”, Technical Report TR-BIGDATA-02-2014-KL, Dept. of Computer Science, Wayne State University, 2014. pdf

   4. Andrey Kashlev, Shiyong Lu, and Artem Chebotko, “Typetheoretic Approach to the Shimming Problem in Scientific Workflows”, Technical Report TR-BIGDATA-10-2013-KLC, Dept. of Computer Science, Wayne State University, 2013. pdf

Abstracts and Posters

• 1. Andre Kashliev, "Scalable Storage and Querying of RDF graphs with DynamoDB", International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2024.

  2. Craig Campbel, Andrey Kashlev, Exploring False Positive Probability Rates in Bloom Filters, EMU Undergraduate Symposium, 2018.

  3. Paul Gossman, Andrey Kashlev, Improving Education Using Big Data, EMU Undergraduate Symposium, 2017.

  4. Andrey Kashlev, Artem Chebotko, Shiyong Lu, “KDM: A Big Data Modeling Tool for Apache Cassandra”, poster, Big Data & Business Analytics Symposium, Detroit, MI, 2016.

  5. Andrey Kashlev and Artem Chebotko, “World’s Best Data Modeling Tool for Apache Cassandra”, abstract and talk, Cassandra Summit 2015, Santa Clara, CA, 2015.

  6. Andrey Kashlev and Artem Chebotko, “SPARQL-to-SQL Query Translation: Bottom-Up or Top-Down?”, poster, IEEE International Conference on Services Computing (SCC), Washington DC, 2011.

  7. Pearl Brazier, Artem Chebotko, Eric Gonzalez, Andrey Kashlev, and Anthony Piazza, “Supporting Geosciences Web Services Metadata Management and Discovery”, poster, IEEE International Conference on Services Computing (SCC), Miami, FL, 2010.

*Over the years, my name spelling appeared in my publications as Andre Kashliev, Andrey Kashlev, and Andrii Kashliev.