Tarikul Islam Papon

PhD Researcher

Computer Science Department
Boston University


I am Md Tarikul Islam Papon, a PhD candidate at the Computer Science Department of Boston University advised by Professor Manos Athanassoulis. I am a member of the BU Data-intensive Systems and Computing (DiSC) lab, and part of the MiDAS group@BU. My research interests broadly include Data Systems, specifically focusing on hardware-aware data management challenges, stemming from the evolution of storage and memory devices. During last summer, I worked as a Research Scientist Intern with the Parallel Computing Lab at Intel.

Prior to joining Boston University, I was a lecturer at the Department of Computer Science & Engineering (CSE) in Bangladesh University of Engineering & Technology (BUET) for 4 years. I completed my MSc and BSc degree from the same department under the supervision of Dr. Ashikur Rahman. There I worked on medical informatics using various machine learning and embedded system techniques for health monitoring.

Outside of the office I enjoy traveling and playing Pool (mostly 8 Ball and 9 Ball) and Table Tennis. I also love watching movie and tv series.

Professional Experience

  • PhD Researcher, Boston Univeristy (Sept 2019 - Present)
  • Research Scientist Intern, Intel Corporation (May 2022 - Sept 2022)
  • Research Intern, Microsoft Research (May 2021 - Aug 2021)
  • Lecturer, Bangladesh University of Engineering and Technology (Oct 2015 - August 2019)

[Recent News]

  • Publication
  • Highlight
  • Others
  • Feb 2023 - Our vision paper "Relational Fabric: Transparent Data Transformation" got accepted in ICDE 2023!
  • Nov 2022 - Our work "ACEing the Bufferpool Management Paradigm for Modern Storage Devices" got accepted in ICDE 2023!
  • June 2022 - Our work "Relational Memory: Native In-Memory Accesses on Rows and Columns" got accepted in EDBT 2023! [Official Paper]
  • May 2022 - Really excited to share that I have joined Intel as a Research Scientist Intern for this Summer!
  • May 2022 - I am have been awarded this year's BU Computer Science Research Excellence Award!
  • Mar 2022 - Our invited article on "Building Deletion-Compliant Data Systems" has been accepted in IEEE DEBull. [Official Paper]
  • Jan 2022 - One of my MSc works "UACD: A Local Approach for Identifying the Most Influential Spreaders in Twitter in a Distributed Environment" got accepted in Social Network Analysis and Mining (SNAM)! [Official Paper]
  • June 2021 - Our work "A Parametric I/O Model for Modern Storage Devices" got accepted in DaMoN 2021! [Official Paper] [Video] [Slides]
  • Mar 2021 - Really excited to share that I will be joining Microsoft Research as a Research Intern in Summer 2021!
  • Jan 2021 - "The Need for a New I/O Model" wins honorable mention for Best Gong Show talk at CIDR 2021! [Paper] [Website] [Video] [Slides]
  • Oct 2020 - Our work on "The Need for a New I/O Model" has been accepted in the gong show of CIDR, 2021!
  • Jul 2020 - Lethe resources are now online! [Paper] [arXiv] [Website] [SIGMOD Presentation Video] [Slides]
  • May 2020 - My current research work on "Parametric I/O Model" was voted as the Best Research Project by peer evaluation in CS 591 class!
  • Mar 2020 - Our work "Lethe: A Tunable Delete-Aware LSM Engine" has been accepted for publication in SIGMOD, 2020!
  • Jan 2020 - Our work "Lethe: A Delete-Aware LSM-Based Storage Engine" has been accepted as a Spotlight Talk in NEDB Day 2020! [Poster]


I am currently developing a new design paradigm for interacting with durable storage that takes into account performance asymmetry between read and write operations, as well as the variable access concurrency that different devices may support. In addition, I am designing new abstractions for data systems architectures supporting efficient hybrid transactional/analytical processing (HTAP). I am also working on designing modern data systems that can support efficient persistent deletes. Prior to joining BU, I worked on medical informatics including software/hardware co-design approaches using various machine learning and embedded system techniques for tele-health monitoring.

My Research Interest Wordl

Current Projects

The New Parametric I/O Model

We propose a simple yet expressive I/O model that considers asymmetry and concurrency of contemporary storage devices.

Learn more
Lethe: A Tunable Delete-Aware LSM Engine

Lethe provides persistence guarantees for delete operations within bounded time and enables efficient secondary range deletes in LSM-based storage engines.

Learn more
Relational Memory

We introduce a new type of near-memory computation to transform between row-oriented data to column-oriented data on the fly.

Coming soon...


Computer Science Department, CDS 925
Boston University
665 Commonwealth Avenue
Boston, MA 02215