Asiful Arefeen

Asiful Arefeen

PhD Student & Research Assistant

Arizona State University

Hello…

I am Asiful Arefeen, PhD student of Bimedical Informatics at Arizona State University (ASU). I am working as a graduate research assistant at Embedded Machine Intelligence Lab (EMIL) led by Dr Hassan Ghasemzadeh.

Before ASU, I started my PhD in Computer Science at Washington State University (WSU) in 2020 but got transferred after a year. Prior to WSU, I completed my undergrad from Bangladesh University of Engineering and Technology (BUET) back in 2019.

I am interested in Machine Learning Application in Health Monitoring Algorithm/System development.

Download my resumé.

Interests
  • Machine Learning
  • Mobile Health
  • Algorithm Development
  • Health Data Procurement
Education
  • PhD in Biomedical Informatics, 2021-present

    Arizona State University

  • PhD in Computer Science, 2020-2021

    Washington State University (transferred)

  • BS in Electrical & Electronic Engineering, 2015-2019

    Bangladesh University of Engineering and Technology

Experience

 
 
 
 
 
EMIL, Arizona State University
Graduate Service Assistant
May 2022 – Present Phoenix, AZ
 
 
 
 
 
EMIL, Arizona State University
Graduate Research Assistant
Aug 2021 – May 2022 Phoenix, AZ
 
 
 
 
 
EPSL, Washington State University
Graduate Research Assistant
May 2021 – Aug 2021 Pullman, WA
 
 
 
 
 
Washington State University
Graduate Teaching Assistant
Aug 2020 – May 2020 Pullman, WA
TA- CPT_S 427 Computer Security (Fall'20), CPT_S 121 Program Design and Development C/C++ (Spring'21), CPT_S 122 Data Structures C/C++ (Spring'21).

Recent Publications

Quickly discover relevant content by filtering publications.
(2022). Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. International Conference on Connected Health: Applications, Systems and Engineering Technologies (IEEE/ACM CHASE 2022).

Cite

(2022). Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning. IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN’22).

PDF Cite

Contact

  • aarefeen@asu.edu
  • Health Futures Center, 6161 E Mayo Blvd, Room 218, Phoenix, AZ 85054