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I am a graduate student of the Department of Computer Science at University of North Carolina at Chapel Hill. I am currently working in the Embedded Intelligence Lab under the supervision of Prof. Shahriar Nirjon on Pervaise and Mobile Computing, Embedded & Intermittent Systems and Machine Learning.

The focus of my research is to understand and enhance the usability and processing capabilities of tiny, energy harvesting, batteryless computing devices to realize their full potential in our daily lives by increasing energy-efficiency and introducing timeliness and learning capability.

I am currently looking for full-time positions in academia.


  • 2020

    • Session Chair of ENSsys 2020 in conjunction with ACM SenSys.

    • Invited talk at Georgia Institute of Technology (Georgia Tech).

    • Selected for the EECS Rising Stars, 2020 at UC Berkley.

    • Selected for ACM CRA-WP Career Mentoring Workshop, 2020.

    • I became the finalist of the prestigious Gaetano Borriello Outstanding Student Award, UbiComp/ISWC 2020.

    • We got the Best Presentation, Judges Award at UbiComp 2020.

    • Successfully finished my internship at Digital Health Lab in Samsung Research America.

    • Two papers co-authored with Digital Health Lab, SRA on breath monitoring and time synchronization for cough monitoring got accepted in ICMI 2020.

    • My work on Time-Sensitive On-Device Deep Inference in Intermittent Systems got accepted in IMWUT/UBICOMP'20.

    • Our work on Intelligent Charger got accepted in IEEE Design & Test.

    • My paper on Real-Time Intermittent Systems got accepted in RTAS 2020.

    • Our paper on Intermittent Learning got accepted in IMWUT-UbiComp 2020.

Professional Experience

  • 05/2020 08/2020

    Summer Research Intern

    Samsung Research America

  • 06/2017 08/2017

    Summer Research Intern

    Nokia Bell Labs

  • 02/2015 07/2016

    Quantitative Software Engineer

    Stochastic Logic Ltd.


  • Ph.D. 2021 (Expected)

    Ph.D. in Computer Science

    University of North Carolina at Chapel Hill

  • B.Sc. 2016

    B.Sc. in Computer Science and Engineering

    Bangladesh University of Engineering & Technology

Honors, Awards and Grants

  • 2020
    EECS Rising Star, UC Berkley 2020.
    I am selected to attend the prestigious EECS Rising Star Workshop 2020 at University of California Berkley.

  • 2020
    Finalist, Gaetano Borriello Outstanding Student Award, UbiComp/ISWC 2020.
    I became a finalist of the prestigious Gaetano Borriello Outstanding Student Award, UbiComp/ISWC 2020 for my contribution in the field of ubiquitois computing.

  • 2020
    Best Presentation, Judge's Award & UBICOMP 2020
    We have recieved the Best Presentation Award, Judge's Choice for our paper on intermittent learning.

  • 2018
    Runner-Up Best App Award & Best Presentation Award, VNC
    We have recieved Runner-Up best App Award for the smartphone platform we have developed for pedestrian safety in Vehicular Network Conference, 2018. We have also recieved the Best Presentation Award.

  • 2017
    N2Women Young Researcher Fellowship Award
    I have recieved N2Women Young Researcher Fellowship Award in 2017 for attending MobiSys 2017. It is a prestigous award for female graduate students at the early years of their graduation. As the part of this award, I have been closely related with the organization of N2Women Workshop in MobiSys 2017. I have also organized the discussion panel featuring some of the brilliant female researchers of our community.

  • 2016
    Runner-Up Best Demo Award
    Our demo on pedestrian safety using acoustic signals recieved the Runner-Up Best Demo Award.

  • 2016-2018
    NSF Travel Grant
    I have recieved NSF Travel Grants to present my works at SenSys, MobiSys, CPS Week, and MMSys.
  • 2015
    Dean’s List Award
    This award is presented by Bangladesh University of Engineer & Technology as a recognition of excellent academic performance.
  • 2013
    World Finalist & National Champion, Microsoft Imagine Cup
    We envisioned a continuous health monitoring system that connects the patients with their loved ones and physicians. We designed and developed a wrist band that measures pulse rate and informs the loved ones and physicians in need. It relies on regular cellular phone network for increased reachability and availability in places where internet is not present. We call it "Happy Watch".