Olga Papaemmanouil
Degrees
Brown University, Ph.D.Brown University, M.S.
University of Athens, M.S.
University of Patras, B.S.
Expertise
Systems for Data Science, big data systems, cloud computing and cloud databases, interactive big data analytics and exploration, query optimization, query performance modeling.Profile
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Olga Papaemmanouil is an Associate Professor in the Department of Computer Science at Brandeis University. Her research interest lies in the area of data management with a recent focus on applying machine learning techniques in the domain of cloud databases, data exploration, query optimization and query performance prediction. She received her undergraduate degree in Computer Science and Informatics at the University of Patras, Greece in 1999. In 2001, she received her Sc.M. in Information Systems at the University of Economics and Business, Athens, Greece. She then joined the Computer Science Department at Brown University, where she completed her Ph.D in Computer Science at Brown University in 2008. She is the recipient of an Amazon Research Award (2019), two Huawei Innovation Research Awards (2018, 2017), an NSF Career Award (2013), a Best Demonstration Award (SIGMOD 2015), a Paris Kanellakis Fellowship (2002) and multiple NSF grants.
Courses Taught
| COSI | 12b | Advanced Programming Techniques |
| COSI | 131a | Operating Systems |
| COSI | 132b | Networked Information Systems |
| COSI | 143b | Data Management for Data Science |
Awards and Honors
Amazon Research Award (2019)
Huawei Faculty Award (2018)
Huawei Faculty Award (2017)
National Science Foundation (NSF) Career Award (2013)
Scholarship
Garcıa Murillo D, Rogovin O, Zhao Y, Chen S, Wang Z, Papaemmanouil O, Van Hooser SD.. "NDI: A platform-independent data interface and database for neuroscience physiology and imagingexperiments." (2021): <https://www.biorxiv.org/>.
Nikos Bikakis, George Papastefanatos, Olga Papaemmanouil. "Big Data Exploration, Visualization and Analytics." Big Data Research 18 (2019). (2021).
C. Zhang, R. Marcus, O. Papaemmanouil,. Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning. Proc. of 2nd International Workshop on Applied AI for DatabaseSystems and Applications. (aiDB). 2020.
R. Marcus, P. Negi, H. Mao, C. Zhang, M. Alizadeh, T. Kraska, O. Papaemmanouil,. "Neo: A Learned Query Optimizer." In Proceedings of the Very Large Databases Endowment (PVLDB), 2019.
Ryan Marcus, Chi Zhang, Shuai Yu, Geoffrey Kao, Olga Papaemmanouil. "NashDB: Fragmentation, Replication, and Provisioning using Economic Methods, (Demonstration)." In Proceedings of 45th International Conference on Very Large Databases (VLDB), 2019.
Ryan Marcus, Olga Papaemmanouil. "Towards a Hands-Free Query Optimizer through Deep Learning." 9th Biennial Conference in Innovative Data Systems Research (CIDR 2019), Asilomar, CA. January 2019.
Ryan Marcus, Papaemmanouil, Olga. "Plan-Structured Deep Neural Networks for Query Performance Prediction." In Proceedings of the Very Large Databases Endowment (PVLDB), 2019.
Ryan Marcus, Olga Papaemmanouil, Sofiya Semenova, Solomon Garber,. "NashDB: An Economic Approach to Fragmentation, Replication and Provisioning for Elastic Databases." 37th ACM Special Interest Group in Data Management (SIGMOD 2018), Houston Texas. June 2018.
Ryan Marcus, Olga Papaemmanouil. "Deep Reinforcement Learning for Join Order Enumeration." 1st International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM 2018), SIGMOD 2018 Workshops, Houston, TX. June 2018.
Ryan Marcus, Olga Papaemmanouil. "Flexible Operator Embeddings via Deep Learning." April 2019.
Ryan Marcus, Olga Papaemmanouil. "Releasing Cloud Databases from the Chains of Predictions Models." 8th Biennial Conference in Innovative Data Systems Research, Santa Cruz, California. January 2017.
Ryan Marcus, Sofiya Semenova, Olga Papaemmanouil. "A Learning-based Service for Cost and Performance Management of Cloud Databases (Demonstration)." 33rd IEEE International Conference on Data Engineering (ICDE 2017), San Diego, CA. April 2017.
Kyriaki Dimitriadou, Olga Papaemmanouil, and Yanlei Diao. "AIDE: An Active Learning-based Approach for Interactive Data Exploration." IEEE Transactions on Knowledge and Data Engineering (TKDE) 28. 11 (2016): 2842 - 2856.
Olga Papaemmanouil, Yanlei Diao, Kyriaki Dimitriadou, Liping Peng. "Interactive Data Exploration via Machine Learning Models." IEEE Data Engineering Bulletin 39. 4 (2016): 21-30.
R. Marcus, O. Papaemmanouil. "Workload Management for Cloud Databases via Machine Learning." 7th International Workshop on Cloud Data Management (ICDE CloudDM ’16), Finland. May 2016.
Ryan Marcus, Olga Papaemmanouil. "WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases." Very Large Databases Endowment (PVLDB) 9. 10 (2016): 780-791.
Zhan Li, Olga Papaemmanouil, Georgia Koutrika. "CourseNavigator: An Interactive System for Learning Path Exploration." 3rd International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2016), San Franscisco. July 2016.
Zhan Li, Olga Papaemmanouil, Mitch Cherniack. "OptMark: A Toolkit for Benchmarking Query Optimizers." 25th ACM International Conference on on Information and Knowledge Management (CIKM 2016), Indianapolis. October 2016.
Idreos S., O. Papaemmanouil, Chaudhuri S.. "Overview of Data Exploration Techniques." In Proceedings of 34rd ACM Special Interest Group in Data Management (SIGMOD ’15), Australia. 2015.
J. Duggan, O. Papaemmanouil, L. Battle, and M. Stonebraker,. "Skew-Aware Join Execution for Array Databases,." In Proceedings of 34rd ACM Special Interest Group in Data Management (SIGMOD ’15), Australia. 2015.
Papaemmanouil, Olga. "XCloud: Extensible Performance Management for Cloud Data Services." In Proceedings of the 7th Biennial Conference in Innovative Data Systems Research (CIDR 2015), Asilomar, CA. 2015.
Y. Diao, K. Dimitriadou, Z. Li, W. Liu, O. Papaemmanouil, K. Peng, L. Peng. "AIDE: An Automatic User Navigation System for Interactive Data Exploration." International Conference on Very Large Databases (VLDB ’15), Hawai. September 2015.
D. Stamatakis, O. Papaemmanouil. SLA-driven Workload Management for Cloud Databases. Proc. of 6th International Workshop on Cloud Data Management (CloudDB '14). Chicago, IL: 2014.
J. Duggan, O. Papaemmanouil, U. Cetintemel, E. Upfal. Contender: A Resource Modeling Approach for Concurrent Query Performance Prediction. Proc. of 17th International Conference on Extending Database Technology (EDBT '14). Athens, Greece: 2014.
K. Dimitriadou, O. Papaemmanouil, Y. Diao. Interactive Data Exploration based on User Relevance Feedback. Proc. of 9th International Workshop on Self-Managing Databases Systems (SMDB '14). Chicago, IL: 2014.
Z. Peng, M. Cherniack, O. Papaemmanouil. Devel-Op: An Optimizer Development Environment (Demonstration). Proc. of 30th IEEE International Conference on Data Engineering (ICDE '14). Chicago, IL: 2014.
M. Stonebraker, J. Duggan, L. Battle, O. Papaemmanouil. "SciDB DBMS Research at MIT." IEEE Data Engineering Bulletin (invited paper) 36. 4 (2013): pages 21-30.
U. Cetintemel, M. Cherniack, J. DeBrabant, Y. Diao, K. Dimitriadou, A. Kalinin, O. Papaemmanouil, S. Zdonik. Query Steering for Interactive Data Exploration. Proc. of 6th Biennial Conference in Innovative Data Systems Research (CIDR 2013). Asilomar, CA, USA: 2013.
Papaemmanouil, Olga. Supporting Extensible Performance SLAs for Cloud Databases. Proc. of International Workshop in Data Management in the Cloud (DMC). Washington, DC: 2012.
J. Duggan, U. Cetintemel, O. Papaemmanouil,, E. Upfal. "Performance prediction for concurrent database workloads." In Proceedings of the 30th ACM Special Interest Group on Management of Data (SIGMOD 2011), June 2011.
Jennie Rogers, Papaemmanouil Olga, Ugur Cetintemel. "A Generic Auto-Provisioning Framework for Cloud Databases." In Proceeding of the 5th International Workshop on Self-Managing Database Systems (SMDB), Co-located with International Conference on Data Engineering (ICDE) 2010, Long Beach, CA. March 2010.
O. Papaemmanouil, N. Tran, M. Cherniack. "A Development Environment for Query Optimizers." In Proceedings of the 3rd International Workshop on Testing Database Systems (DBTest '10), June 2010.
Papaemmanouil Olga, Basu Sujoy, Banerjee Sujata. QoS-Aware Processing for Multi-Tenant Stream-Based Systems. Brandeis Technical Report CS-09-271. Brandeis University: 2010.
Papaemmanouil Olga, Ugur Cetintemel, John Jannotti. "Supporting Generic Cost Models for Wide-Area Stream Processing." International Conference on Data Engineering (ICDE09), Shanghai, China. April 2009.