cv.yml

- title: General Information
  type: map
  contents:
    - name: Full Name
      value: Fakrul Islam Tushar
    - name: Email
      value: tushar.ece@duke.edu
    - name: Phone
      value: +1 984-244-4464
    - name: Location
      value: Durham, NC, United States
    - name: GitHub
      value: https://github.com/fitushar
    - name: LinkedIn
      value: https://www.linkedin.com/in/fitushar/
    - name: Website
      value: https://fitushar.github.io/

- title: Education
  type: time_table
  contents:
    - title: PhD, Electrical and Computer Engineering
      institution: Duke University, NC, USA
      year: Aug 2021 - May 2025
      description:
        - Research focuses on AI & In-Silico trials in lung health.
    - title: MSc, Medical Imaging and Applications (MaIA)
      institution: Erasmus+ @uB (France), UNICAS (Italy), UdG (Spain), Duke University (USA)
      year: Sept 2017 - July 2019
    - title: BSc, Electrical and Electronic Engineering
      institution: American International University-Bangladesh (AIUB)
      year: Jan 2013 - Feb 2017

- title: Experience
  type: time_table
  contents:
    - title: Research Fellow
      institution: Duke Radiology
      year: Oct 2019 - Feb 2021
    - title: Summer Internship
      institution: Duke Radiology
      year: July 2018 - Sept 2018

- title: Projects
  type: time_table
  contents:
    - title: Lung Cancer Longitudinal AI with Rule-Based Interpretability (CLARITY)
      year: In progress
      description:
        - Development of a foundational AI with synthetic longitudinal digital humans.
    - title: Virtual Lungs Screening Trials (VLST)
      description:
        - In Silico alternative to clinical trials through Digital Human Twin, Virtual Scanner, and AI readers.
        - Publications: RSNA24, SPIE24 (Travel Award), VITM24 (Best Poster), Med.AI.
        - Details: https://fitushar.github.io/VLST.github.io/
    - title: Transparency in Health AI
      description:
        - Understanding the transparency and limitations of AI.
        - Publications: IEEE Access, SPIE22.
        - Details: https://fitushar.github.io/ReviCOVID.github.io/

- title: Honors and Awards
  type: time_table
  contents:
    - year: 2024
      items:
        - Best Poster @ Virtual Imaging Trials in Medicine
        - Travel Award @ SPIE Medical Imaging Conference
    - year: 2019
      items:
        - Master Thesis Scholarship @ Duke Radiology
    - year: 2017
      items:
        - Dean’s Award for Undergrad Final Year Project
        - Cum Laude @ AIUB's 17th Convocation
        - Undergrad Merit Scholarship @ AIUB ($3,000)