[Resume (TEXT)] [Resume (PDF)] [CV (PDF)] [Teaching] [Utah Data Group]

I have earned the title of Doctor of Philosophy at the School of Computing at University of Utah. I am actively seeking positions as a Research Engineer, Software Developer, Data Analyst, and Cluster Administrator. Please see the [plain-text] or [PDF] version of my resume!!!

PhD Dissertation

Research Interests

Summarizing massive data in distributed and parallel frameworks; ranking, monitoring, and tracking big data; scalable query processing in large databases; uncertainties and fuzzy string and textual data.

Projects

1. Data Summaries for Massive Data
2. Ranking and Monitoring Probabilistic Data

Recent Publications

• Journals
• Semantics of Ranking Queries for Probabilistic Data (Project Website),
  by J. Jestes, G. Cormode, F. Li, K. Yi,
  Vol. 23, No. 12, pages 1903-1917, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2011.
• Conferences
• Quality and Efficiency for Kernel Density Estimates in Large Data (Project Website), (Talk),
  by Y. Zheng, J. Jestes, J. Phillips, F. Li
  In Proceedings of 32nd ACM SIGMOD International Conference on Management of Data (SIGMOD 2013), pages TBA, NYC, NY, June 2013.
• Ranking Large Temporal Data (Talk),
  by J. Jestes, J. Phillips, F. Li, M. Tang
  In Proceedings of 38th International Conference on Very Large Databases (VLDB 2012), PVLDB 5(11): 1412-1423, Istanbul, Turkey, August, 2012.
• Building Wavelet Histograms on Large Data in MapReduce (Project Website), (Talk),
  by J. Jestes, K. Yi, F. Li
  In Proceedings of 38th International Conference on Very Large Databases (VLDB 2012), PVLDB 5(2): 109-120, Istanbul, Turkey, August, 2012.
• Efficient Parallel kNN Joins for Large Data in MapReduce (Project Website), (Talk),
  by C. Zhang, F. Li, J. Jestes
  In Proceedings of 15th International Conference on Extending Database Technology (EDBT 2012), pages 38-49, Berlin, Germany, March, 2012.
• Efficient Threshold Monitoring for Distributed Probabilistic Data (Project Website), (Talk),
  by M. Tang, F. Li, J. Phillips, J. Jestes
  In Proceedings of 28th IEEE International Conference on Data Engineering (ICDE 2012), pages 1120-1131, Washington DC. April, 2012.
• Probabilistic String Similarity Joins (Project Website), (Talk),
  by J. Jestes, F. Li, Z. Yan, K. Yi,
  In Proceedings of 29th ACM SIGMOD International Conference on Management of Data (SIGMOD 2010), pages 327-338, Indianapolis, Indiana, June 2010.
• Ranking Distributed Probabilistic Data (Project Website), (Talk),
  by F. Li, K. Yi, J. Jestes,
  In Proceedings of 28th ACM SIGMOD International Conference on Management of Data (SIGMOD 2009), pages 361-374, Providence, USA, June 2009.

Professional Services

• Services:
• Publicity Chair, MobiDE'13, 12th International ACM Workshop on Data Engineering for Wireless and Mobile Access.
• Invited Reviewer for the following journals:
• IEEE Transactions on Knowledge and Date Engineering (TKDE).
• Distributed and Parallel Databases (DAPD).
• External Reviewer for the following journals:
• Information Systems.
• Distributed and Parallel Databases (DAPD).
• IEEE/ACM Transactions on Networking (TON).
• IEEE Transactions on Knowledge and Date Engineering (TKDE).
• The International Journal on Very Large Data Bases (VLDBJ).
• External Reviewer for the following conferences:
• 14th International Conference on Web-Age Information Management (WAIM 2013).
• 29th IEEE International Conference on Data Engineering (ICDE 2013).
• 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2013).
• 12th IEEE International Conference on Data Mining (ICDM 2012).
• 13th International Conference on Web-Age Information Management (WAIM 2012).
• 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012).
• 23rd Scientific and Statistical Database Management Conference (SSDBM 2011).
• 12th International Symposium on Spatial and Temporal Databases (SSTD 2011).
• 11th International Conference on Mobile Data Management (MDM 2010).
• 9th IEEE International Conference on Data Mining (ICDM 2009).

Biography

Jeffrey Jestes graduated from N.B. Forrest High School, with honors as valedictorian, in Jacksonville, FL in 2004. He received the B.S. degree in computer science, with honors as Summa Cum Laude, from Florida State University in 2008. He was a PhD student in the Computer Science Department, Florida State University between August 2008 and July 2011. He earned his doctorate from the School of Computing, University of Utah, in July 2013. He has interned twice with Microsoft Research in the eXtreme Computing Group during his PhD, studying solutions to problems in massive data and cloud computing. His current research interests include summarizing massive data in distributed and parallel frameworks; ranking, monitoring, and tracking big data; scalable query processing in large databases.