Jees Augustine

Jees Augustine

I was an ordinary person who studied hard. There's no miracle people! - Richard P. Feynman

I am a Ph.D. Graduate in Computer Science and Engineering form The University of Texas at Arlington

My Ph.D. Advisor is Dr. Gautam Das

My Erdös Number is : 3

[SIGMOD 2021] Our work "A Generalized Approach for Reducing Expensive Distance Calls for A Broad Class of Proximity Problems" has been accepted to ACM SIGMOD Research Track!!   To be updated

Invited paper, Communications of the ACM Research Highlights, 2020 Our work "Scalable Signal Reconstruction for a Broad Range of Applications" is invited to appear in Communications of the ACM Research Highlights, 2020   >Paper<

⌘ [VLDB 2020] Our work "Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins" has been accepted to PVLDB demonstration Track   >Paper<

⌘[SIGMOD, 2020]Our work "Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries" is accepted to SIGMOD   >Paper<

⌘ [VLDB Journal 2020] Extended vesion(Invited) of our 2018 VLDB paper is now publised as "Scalable algorithms for signal reconstruction by leveraging similarity joins"   >Paper<

⌘[ACM SIGMOD Record 2019] Our work on "Efficient Signal Reconstruction for a Broad Range of Applications" has been accepted to the SIGMOD Records   >Paper<

[2018 ACM SIGMOD Research Highlight Award] - For our work "Leveraging Similarity Joins for Signal Reconstruction" (Awarded to top-5 resarch accross all top Database confernces -SIGMOD - VLDB - PODS - ICDE - EDBT - ICDT - etc. ) & Highlighted as a work likely to have broad appeal across the Computer Science Community   Link to Announcement Email

⌘ Computer Science Engineering IAB Endowed Scholarship 2019, by CSE, UTA

⌘ Kelcy Warren Graduate Fellowship for Engineering 2019 (Awarded to 6 Researchers by College of Engineering, UTA)

⌘ Cyneta Networks Outstanding Teaching Assistant-Graduate 2019 (Awarded to top Graduate Teaching Assistant in CSE, UTA)

⌘ pVLDB Best Reproducible Research Award 2018 ( \First ever pVLDB Reproducibility award) Link

⌘ Our work 'Leveraging Similarity Joins for Signal Reconstruction' will be featuring in VLDB'19 for its Zero Effort Reproducibility

⌘ Our paper 'Leveraging Similarity Joins for Signal Reconstruction' is invited for Best of VLDB'18 Journal (less than 1% of the accepted papers)

VLDB'18 Travel Award to attend the VLDB'18 at Rio de Janeiro, Brazil