Aneesh Raman

Boston University. DiSC Lab and MiDAS Group.

profile.jpg

Email: [email protected]

Office: 925C, CCDS

Hi! I am a PhD candidate at Boston University adivsed by Prof. Manos Athanassoulis. My research focuses on Database systems, particularly indexing and access methods. Recently, I have been working on instance-optimized indexes that harness inherent data order or sortedness to improve performance.

Before joining Boston University, I attended Purdue University Fort Wayne for my bachelors degree.

I am currently on the job market, looking for full-time opportunities in the industry.

news

Oct 02, 2024 Our work on Quick Insertion Tree (QuIT) has been accepted at EDBT 2025!
Jun 09, 2024 Presenting our latest work in DBTest @ SIGMOD 2024 in Santiago, Chile 🇨🇱
May 28, 2024 Interning at the Data Systems Group @ Microsoft Research for the summer!
May 23, 2024 Presenting a poster about Benchmarking Learned and LSM Indexes at NEDB Day 2024.
May 24, 2023 Interning at SystemsResearch @ Google for the summer!

selected publications

  1. EDBT
    QuIT your B+-tree for the Quick Insertion Tree
    Aneesh Raman, Konstantinos Karatsenidis, Shaolin Xie, and 3 more authors
    In Proceedings 28th International Conference on Extending Database Technology, EDBT 2025, Barcelona, Spain, March 25-28, 2025, 2025
  2. DBTest
    Benchmarking Learned and LSM Indexes for Data Sortedness
    Aneesh Raman, Andy Huynh, Jinqi Lu, and 1 more author
    In Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024, 2024
  3. ICDE
    Indexing for Near-Sorted Data
    Aneesh Raman, Subhadeep Sarkar, Matthaios Olma, and 1 more author
    In 39th IEEE International Conference on Data Engineering, ICDE 2023, Anaheim, CA, USA, April 3-7, 2023, 2023