Feifei Li

GRANTS

• Neighborhood Looking Glass: 360 Degree Automated Characterization of the Built Environment for Neighborhood Effects Research, NIH R01, co-PI, 09/01/18- 08/31/22, $1,340,980.
• III: Small: Persistent Data Summaries: Temporal Analytics on Big Data Histories, NSF IIS, PI, 08/01/18- 08/31/21, $499,934. NSF link
• SaTC: CORE: Medium: Large-Scale Data Driven Anomaly Detection and Diagnosis from System Logs, NSF SaTC, PI, 08/01/18- 08/31/22, $1,100,000. NSF link
• Visa Research Faculty Award, Single PI, 09/2017, $35,000.
• University of Utah Presidential Scholar Award, Single PI, 09/2017, $10,000.
• SaTC: CORE: Small: Efficient Hardware-Aware and Hardware-Enabled Algorithms for Secure In-Memory Databases, NSF CNS, co-PI, 09/01/17- 08/31/20, $516,000. NSF link
• Scalability and Performance Improvement for Apache Carbon Data, Gift from Huawei, Single PI, 03/01/17- 02/28/18, $80,000.
• III: Small: Towards a Database Engine for Interactive and Online Sampling and Analytics, NSF IIS, Single PI, 09/01/16- 08/31/19, $500,000. NSF link
• Medium: Collaborative: Seal: Secure Engine for AnaLytics - From Secure Similarity Search to Secure Data Analytics, PI, NSF SaTC, co-PI Jeff Phillips, PI at UCSB Rachel Lin, 07/15/15- 06/30/19, $942,056: $600,007 at Utah and $342,049 at UCSB. NSF link1, NSF link2
• Spatio-Temporal Online Analytics With Concept Enriched Text, Google Research Award, 02/2015-02/2016, $57,640.
• Automated Query Engine for Large Heterogeneous Data, NSFC (NSF China) Oversea Collaboration Grant, 01/01/2015-12/31/2016, Chinese RMB 200,000.
• CIF21 DIBBs: STORM: Spatio-Temporal Online Reasoning and Management of Large Data, PI, NSF DIBBs Program, 11/01/14-10/31/17, $1,157,975 Project Website, NSF link.
• Research Experience for Undergraduate (REU Supplement for the NSF BIGDATA grant), PI, NSF, 04/13-04/16, $16,006.
• BIGDATA: Small: DCM: DA: Building a Mergeable and Interactive Distributed Data Layer for Big Data Summarization Systems, PI, NSF BIGDATA Program, 09/15/13-08/31/16, $685,380. Project Website, NSF link.
• TWC: Medium: TCloud: A Self-Defending, Self-Evolving and Self-Accounting Trustworthy Cloud Platform, co-PI, NSF SaTC Program, 09/01/13-08/31/17, $999,991. Project Website, NSF link.
• CSR: Medium: Energy-Efficient Architectures for Emerging Big-Data Workloads, co-PI, NSF CNS Program, 07/01/13-06/30/17, $873,286. Project Website, NSF link.
• Research Experience for Undergraduate (REU Supplement for the CAREER grant), PI, NSF, 07/13/12-07/12/13, $16,000.
• Time-Sensitive and Keyword-Aware Recommendation in Large Data", sole-PI, two HP Labs IRP Awards, 09/01/2011-08/31/2013, $125,000.00.
• Non-Conventional Search and Identification of Delinquent Parent, FLorida Department of Revenue-Child Support Enforcement, co-PI, 02/11-09/13, $632,465.00.
• COFRS (Committee on Faculty Research Support) Award, Efficient Aggregate Similarity Search, sole PI, Florida State University, 2011, $14,000.
• CAREER: Novel Query Processing Techniques for Distributed Probabilistic Data, sole PI, NSF IIS Program, 02/01/11-01/31/16, $498,138. Project Website, NSF link
• Industry Gift, PI, HP Labs China, 08/2010, $3000.
• Scholarships for Service at Florida State University, co-PI, NSF Division of Undergraduate Education, 09/16/10-08/31/14, $1,853,894, NSF link.
• III:Small:Efficient Ranking and Aggregate Query Processing for Probabilistic Data, single PI, NSF IIS Program, 09/01/09-08/31/12, $328,831, Project Website, NSF link.
• CT-ISG: Collaborative Research: Towards Trustworthy Database Systems, PI, NSF Cyber Trust Program, 10/01/08-09/30/11, $150,620. Project Website, NSF link
• Research Experience for Undergraduate (REU Supplement for the CT-ISG grant), PI, NSF, 06/16/09-09/30/11, $12,000.
• DoD 2009 IASP (Information Assurance Scholarship Program) Grant, co-PI, 08/09-08/10, $46,997.
• Building Trustworthy Database Systems, PI, FSU CRC Planning Grant, 12/01/07-11/30/08, $12,000.
• Query Verification, PI, FSU CRC First Year Assistant Professor Grant, 05/08-08/08, $16,000
• Ranking and Aggregate Query Processing for Large Scientific Data with Fuzzy Information, Source: FSU Undergraduate Research Award, PI, Student: Justin DeBrabant, $4,000, 2009.

PROFESSIONAL EXPERIENCE

• Director of the database team at Alibaba/Alibaba Cloud, Vice President. Present
• Professor (adjunct faculty), School of Computing, University of Utah, Salt Lake City, UT, 2020 - 2020.
• Professor (on leave), School of Computing, University of Utah, Salt Lake City, UT, 05/2018 - 2020.
• Associate Professor, School of Computing, University of Utah, Salt Lake City, UT, 07/2013 - 04/2018
• Visiting Professor, Department of Computer Science and Engineering and ZhiYuan College, Shanghai Jiao Tong University, Shanghai, China, 07/2014 - 07/2015
• Assistant Professor, School of Computing, University of Utah, Salt Lake City, UT, 08/2011 - 06/2013
• Assistant Professor & Director of the SAIT Laboratory, Computer Science Department, Florida State University, Tallahassee, FL, 08/2007 - 08/2011
• Summer Internship, Database Research Group, Microsoft Research, Redmond, WA, 05/2007 - 08/2007
• Rresearch Consultant, Database Management Research Department, AT&T Labs Research, Florham Park, NJ, 2007- 2009
• Summer Internship,  Database Research Group, IBM T.J. Watson Research Center, Hawthorne, NY 06/2006 - 09/2006
• Summer Internship,  SQL Server Group, Microsoft Corp., Redmond WA, 06/2005 - 09/2005 
• Research Assistant, Department of Computer Science, Boston University,05/2003 - 05/2007
• Teaching Assistant, Department of Computer Science, Boston University,09/2002 - 05/2003

PROFESSIONAL SERVICE

• Services:
  
  Please refer to this page.
  


• Program Committee Memberships:
  
  Please refer to this page.
  
  
• Reviewers/Panelists for Grant Proposals:
  
  Please refer to this page.
  
  

EXTERNAL PRESENTATIONS

• 10/2020, Cloud Native Database Systems for Enterprise Applications. Conference Keynote Talk, ACM SoCC 2020.
• 08/2019, Cloud Native Database Systems: Challenges and Opportunities. Industry Keynote Talk, VLDB 2019.
• 01/2017, NSF DIBBs Workshop, Panelist.
• 12/2016, In-memory spatial databases and analytics. International Conference on Data Science.
• 12/2016, Simba: In-memory Spatial Big Data Analytics, HKUST.
• 08/2016, Interactive data manaement and analytics, Ali Cloud, Alibaba.
• 07/2016, Towards Interactive, Online, and Secure Big (Spatial) Data Analytics, VLDB Summer School.
• 06/2016, Online Aggregation over Joins, SIGMOD
• 04/2015, Interactive Online Data Analytics, Database Technology Conference China.
• 12/2014, STORM: Towards Interactive Data Analytics, Harbin Institute of Technology, Harbin, China.
• 11/2014, Interactive Data Analytics on Big Data, Hong Kong University of Science and Technology, Hong Kong.
• 11/2014, Interactive Data Analytics on Big Data, AnHui University
• 11/2014, Interactive Data Analytics on Big Data, Beijing University of Posts and Telecommunications.
• 10/2014, Interactive Data Analytics on Big Data, Nanyang Technological University, Singapore.
• 10/2014, Interactive Data Analytics on Big Data, XiDian University.
• 10/2014, Interactive Data Analytics on Big Data, Suchow University.
• 10/2014, Interactive Data Analytics on Big Data, Wuhan University.
• 09/2014, Secure Data Analytics in the Cloud, Invited Seminar, National Database Conference of China (NDBC) 2014.
• 09/2014, Interactive Data Analytics on Big Data, Distinguished Lecture Series, ZhiYuan College, Shanghai Jiao Tong University 2014.
• 09/2014, Interactive Data Analytics on Big Data, Invited Seminar, ApWeb 2014.
• 08/2014, Secure Data Analytics in the Cloud, Jiangsu University.
• 08/2014, Interactive Data Analytics on Big Data, Invited Talk, Forum of Future Data (FFD) Workshop 2014.
• 12/2013, Summarizing and interacting with large data, Big Data Workshop, East China Normal University.
• 08/2013, Summarizing large data and towards building local search engines, Database summer school, Fudan University.
• 06/2013, Towards Building an Automatic Query Engine for Large Heterogeneous Data, Microsoft Research Asia Database Summer School, in Conjunction with WAIM'13.
• 06/2013, Query Processing Techniques for Probabilistic Data, Hong Kong University of Science and Technology, Hong Kong.
• 09/2012, Flexible and Scalable Similarity Matching, Database Colloquium, Cornell University.
• 07/2012, Parallel kNN Join for Large Data in MapReduce, HP Labs China, Beijing, China.
• 01/2012, Building Wavelet Histograms for Larage Data in MapReduce, Shanghai Jiaotong University, Shanghai, China.
• 12/2011, Building Wavelet Histograms for Larage Data in MapReduce, HP Labs China, Beijing, China.
• 12/2011, Building Wavelet Histograms for Larage Data in MapReduce, Tsinghua University, Beijing, China.
• 12/2011, Building Wavelet Histograms for Larage Data in MapReduce, Renming University, Beijing, China.
• 11/2011, Building Wavelet Histograms for Larage Data in MapReduce, Indiana University-Purdue University Indianapolis, Indianapolis.
• 11/2011, Multi-Approximate-Keyword-Routing in GIS Data, ACM SIGSPATIAL GIS 2011, Chicago, IL.
• 06/2011, Flexible Aggregate Similarity Search, SIGMOD 2011, Athens, Greece.
• 04/2011, Summarizing Massive Datasets, University of Utah, Salt Lake City, UT.
• 07/2010, Query Authentication for Outsourced Databases, HP Lab China, Beijing, China
• 07/2010, Query Authentication for Outsourced Databases, Tsinghua University, Beijing, China
• 07/2010, Modeling, Using, and Querying Probabilistic Strings, Renming University, Beijing, China
• 03/2010, K Nearest Neighbor Queries and kNN-Joins in Large Relational Databases (Almost) for Free, Long Beach, CA.
• 03/2010, Approximate String Search in Spatial Databases, ICDE 2010, Long Beach, CA.
• 03/2010, Probabilistic String Similarity Joins, Yahoo! Research, Santa Clara, CA.
• 12/2009, Query and Data Security in the Database-as-a-Service Model, Computer Science Department, Shanghai Jiao Tong University, Shanghai, China.
• 08/2008, Approximate Aggregation in Sensor Networks, China 973 Wireless Sensor Network Lab, Shanghai Jiao Tong University, Shanghai, China.
• 06/2008, Finding Frequent Items in Probabilistic Data, School of Computing Science, Simon Fraser University, Vancouver, Canada.
• 04/2008, PIRS: Query Verification on Data Streams, ICDE 2008, Cancun, Mexico.
• 04/2008, Efficient Query Processing for Top-k Queries on Uncertain Data (poster), ICDE 2008, Cancun, Mexico.
• 09/2007, Authenticating Sliding Window Queries over Data Streams, VLDB 2007, Vienna, Austria.
• 07/2007, Optimized Transaction Time Versioning Inside a Database Engine, Microsoft Research, Redmond, WA.
• 04/2007, Privacy Preservation on Evolving Streams through Correlation Tracking, ICDE 2007, Istanbul, Turkey.
• 03/2007, Data and Query Security for the Data Publishing Model, AT&T Labs - Research, Florham Park, NJ.
• 03/2007, Data and Query Security for the Data Publishing Model, IBM T. J. Watson Research Center, Hawthorne, NY.
• 02/2007, Data and Query Security for the Data Publishing Model, Florida State University, Tallahassee, FL.
• 08/2006, Privacy Preservation on Evolving Streams through Correlation Tracking, IBM T. J. Watson Research Center, Hawthorne, NY.
• 06/2006, Dynamic Authenticated Index Structures for Outsourced Databases , SIGMOD 2006, Chicago, IL.
• 04/2006, Characterizing and Exploiting Reference Locality in Data Stream Applications, ICDE 2006, Atlanta, GA.
• 04/2004, Spatio-Temporal Aggregation Using Sketches, ICDE 2004, Boston, MA.

TEACHING EXPERIENCE

• Database Systems and Big Data Management, ZhiYuan College, ACM Class, Shanghai Jiao Tong University
  Fall 2014, Spring 2015.
• CS5530 Database Systems (undergrad), School of Computing, University of Utah
  Spring 2013, Spring 2014, Spring 2016, Spring 2017.
• CS7941 Data Reading Group, School of Computing, University of Utah
  Spring 2013.
• CS6530 Advanced Database Systems (grad), School of Computing, University of Utah
  Fall 2012, Fall 2013, Fall 2016, Fall 2017.
• CS6931 Database Seminar, School of Computing, University of Utah
  Spring 2012.
• CS6960 Database Kernels and Large Data Management, School of Computing, University of Utah
  Fall 2011.
• COP4710 Introduction to Databases (undergraduate level course), Computer Science Department, Florida State University
  Fall 2010, Spring 2010, Fall 2009, Fall 2008, Spring 2008.
• COP5725, Database Systems (graduate level course), Computer Science Department, Florida State University
  Spring 2011, Spring 2010, Spring 2009, Fall 2007.
• CIS5910 Advanced Topics in Data Management (graduate level course), Computer Science Department, Florida State University
  Fall 2008.

PATENTS

• CO-Inventor, Scalable Multi-Query Optimization for SPARQL, US patent number 9,542,444.
• CO-Inventor, Scalable Multi-Query Optimization for SPARQL, US patent number 9,280,583.
• CO-Inventor, Scalable summarization of data graphs, US Patent number 8,977,650.
• CO-Inventor, Scalable summarization of data graphs, US Patent number 8,984,019.
• CO-Inventor, Methods and apparatus for ranking uncertain data in a probabilistic database, US Patent number 8,825,640.
• CO-Inventor, Verification of Outsourced Data Streams, US patent number 8.112.802.
• CO-Inventor, Preserving Privacy of One-Dimensional Data Streams Using Dynamic Correlations, US patent number 7.853.545.
• CO-Inventor, Preserving Privacy of One-Dimensional Data Streams by Perturbing Data With Noise and Using Dynamic Autocorrelation, US patent number 7.840.516.