Asiful Arefeen
Asiful Arefeen

PhD Candidate

Arizona State University

About Me

I am Asiful Arefeen, PhD student in the Biomedical Informatics program at Arizona State University (ASU). I am working as a graduate research assistant at the Embedded Machine Intelligence Lab (EMIL) led by Dr Hassan Ghasemzadeh. I worked as an AI and Computer Vision intern at Idaho National Laboratory in Summer 2026.

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 Explainable AI, Counterfactual Explanation techniques, AI driven intervention design, Machine Learning Applications in Health Monitoring Algorithm/System development, Interactive tools development for Doctors, Practitioners, and Timeseries Foundation models.

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Interests
  • Explainable AI
  • Counterfactual XAI
  • Digital Twin Systems
  • Label Efficient AI
  • AI Driven Intervention Design
  • Mobile Health
  • Passive Sensing
  • Foundation Models
Education

  • PhD Biomedical Informatics & Data Science

    Arizona State University

  • MS Computer Science

    Arizona State University

  • MS Biomedical Informatics

    Arizona State University

  • BS Electrical & Electronic Engineering

    Bangladesh University of Eng. & Tech.

Experience

  1. AI & Computer Vision Intern

    Idaho National Labs
    I am developing computer vision and Generative AI methods to convert plant drawings/schematics into a list/graph of connected equipment.

  2. Research Affiliate

    Mayo Clinic
    I am working as a research affiliate for Dr. Bithika Thompson. My task is to improve the current Automated Insulin Delivery (AID) technology to reduce the number of abnormal glycemic events. Here is a recap of what I have done so far:
    • 1. Created the AZT1D dataset. I developed a pipeline to process raw data from Tandem insulin pump.
    • 2. Developed GlyMan, a patient-centric glycemic management tool aimed at reducing hyperglycemic events experienced by patients with Type 1 diabetes.
    • 3. Worked on GlyTwin, an advanced digital twin paradigm that senses abnormal glucose excursion beforehand and offers intervention through minimal behavioral changes.
    • 4. Working on developing GlucoGuide, a web-portal for endocrinologists to summarize patient data from Tandem insulin pump and assist in retrospective interventions.

  3. Graduate Research Assistant

    Embedded Machine Intelligence Lab, ASU
    Responsibilities include:
    • – I have been doing research on explainable AI and label efficient AI
    • – I have published 3 first-authored journal articles and 6 conference proceedings.
    • – I taught BMI 310: Android Application Development for Population Health during Spring'24.

  4. Graduate Teaching Assistant

    EECS, Washington State University
    I was TA for the following courses:
    • – CPT_S 427 Computer Security (Fall'20), taught by Dr. Ananth Jillepalli
    • – CPT_S 121 Program Design and Development C/C++ (Spring'21), taught by Andrew O'Fallon
    • – CPT_S 122 Data Structures C/C++ (Spring'21), taught by Andrew O'Fallon

Education

  1. PhD Biomedical Informatics & Data Science

    Arizona State University
    Supervised by Dr. Hassan Ghasemzadeh.

  2. MS Computer Science

    Arizona State University

  3. MS Biomedical Informatics

    Arizona State University

  4. BS Electrical & Electronic Engineering

    Bangladesh University of Eng. & Tech.
Featured Publications
GlyTwin: Enhancing Digital Twin for Glucose Control in Type 1 Diabetes using Patient-Centric Counterfactual Treatments
RealAC: A Domain-Agnostic Framework for Realistic and Actionable Counterfactual Explanations
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations
Publications
See all publications
Recent Talks
Dietary Assessment and Interventions using AI, Wearables and LLM
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts
Chronos-2: From Univariate to Universal Forecasting
See all events
Recent News

2026

[May, 2026] Asif’s paper titled “GlyTwin: Enhancing Digital Twin for Glucose Control in Type 1 Diabetes using Patient-Centric Counterfactual Treatments” got accepted at the IEEE Journal of Biomedical and Health Informatics (IEEE JBHI, IF: 6.7).

[May, 2026] Asif to spend summer 2026 as a computer vision research intern at Idaho National Labs.

[Apr, 2026] Asif won the Arizona State University Graduate College Completion Fellowship for fall 2026.

[Mar, 2026] Asif and Shovito won the Best Poster Award at 2026 ASU College of Health Solutions Faculty and Staff Research Day.

[Jan, 2026] Asif received a Graduate Fellowship from the College of Health Solutions.

Contact

📮 aarefeen@asu.edu

🔻 6161 E Mayo Blvd, Room 319, Phoenix, AZ 85054, USA