Asiful Arefeen
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6161 E Mayo Blvd Room 218 Phoenix, AZ 85054
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Mail code: 9020Campus: Phoenix
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Student Information
Graduate StudentBiomedical Informatics and Data Science
Health Solutions
Asiful Arefeen is PhD student in the Biomedical Informatics program at Arizona State University. He is also pursuing a concurrent Masters in Computer Science. Currently, Arefeen works as a graduate research assistant at the Embedded Machine Intelligence Lab (EMIL) led by Dr Hassan Ghasemzadeh and holds a research affiliate position at the Mayo Clinic.
Before ASU, Arefeen started his PhD in Computer Science at Washington State University (WSU) in 2020 but got transferred within a year. Prior to WSU, Arefeen completed his Bachelors in Electrical & Electronic Engineering from Bangladesh University of Engineering and Technology (BUET) in 2019.
Arefeen boasts expertise in Explainable AI, Counterfactual Explanations techniques, AI driven intervention design, Machine Learning Applications in Health Monitoring Algorithm/System development, and Wearable sensor systems. Arefeen believes in overcoming challenges with perseverance and hard work.
- Ph.D. in Biomedical Informatics, Arizona State University (Aug 2021 - Present)
- MS in Computer Science, Arizona State University (Jan 2024 - Present)
- MS in Biomedical Informatics, Arizona State University (Aug 2021 - May 2023)
- BS in Electrical & Electronic Engineering, Bangladesh University of Engineering and Technology (Feb 2015 - Apr 2019)
- Explainable AI
- Counterfactual Explanations
- Label Efficient AI
- AI driven intervention design
- Mobile Health and Wearable Sensors
- Metabolic Health
Embedded Machine Intelligence Lab (EMIL) led by Hassan Ghasemzadeh
- Arefeen, A., & Ghasemzadeh, H. (2023). Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations. ArXiv, abs/2310.01684.
- Arefeen, A., Akbari, A., Mirzadeh, S., Jafari, R., Shirazi, B., & Ghasemzadeh, H. (2021). Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. ACM Transactions on Computing for Healthcare, 5, 1 - 19.
- Arefeen, A., & Ghasemzadeh, H. (2023). GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions. 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 1-5.
- Arefeen, A., Jaribi, N., Mortazavi, B.J., & Ghasemzadeh, H. (2022). Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 91-98.
- Arefeen, A., Fessler, S.N., Johnston, C., & Ghasemzadeh, H. (2022). Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning. 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN), 1-4.
- 2024 College of Health Solutions (CHS) Student Heat and Health Research Challenge Award
- Best poster award on 2024 ASU College of Health Solutions Faculty Research Day
- NIH T32 Institutional Training Grant for AI in Precision Nutrition (AIPrN) Research (2024-ongoing)
- NSF Student Travel Award to attend IEEE Biomedical & Health Informatics Conference 2023 at Pittsburgh, PA
- ASU Graduate College University Grant 2023-24
- ASU Graduate College University Grant 2022-23
- NSF Student Travel Award to attend 2022 IEEE/ACM Conference on Connected Health Applications, Systems and Engineering Technologies (CHASE) at Washington DC