Hassan Ghasemzadeh

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1 Similar Profiles

6 Finished

Quantitative Gait Analysis as a novel diagnostic tool and clinical biomarker for Atypical Parkinsonian Syndromes
Ghasemzadeh, H. (CoI) & Peterson, D. (PI)
ASU: Mayo Seed Grant
7/1/23 → 1/31/25
Project: Research project
Machine Learning Design to Predict and Manage Postprandial Hyperglycemia in Patients with Type 1 Diabetes
Grando, A. (CoI) & Ghasemzadeh, H. (PI)
ASU: Mayo Seed Grant
7/1/23 → 12/31/24
Project: Research project
Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MAITC)
Ghasemzadeh, H. (PI)
HHS: National Institutes of Health (NIH)
6/1/23 → 5/31/24
Project: Research project
KLS Neonatal Monitoring
Ghasemzadeh, H. (CoI), Klein-Seetharaman, J. (CoI) & Blain Christen, J. (PI)
INDUSTRY: Domestic Company
12/1/22 → 11/30/24
Project: Research project
CPS Small Human in the Loop Learning of Complex Events in Uncontrolled Environments
Ghasemzadeh, H. (PI)
National Science Foundation (NSF)
1/1/22 → 12/31/24
Project: Research project

115 Conference contribution
71 Article
11 Chapter
6 Editorial
More

Counterfactual Modeling With Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation
Soumma, S. B., Arefeen, A., Carpenter, S. M., Hingle, M. & Ghasemzadeh, H., 2026, In: IEEE Open Journal of Engineering in Medicine and Biology. 7, p. 232-240 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Blood Glucose Forecasting
Farahmand, E., Soumma, S. B., Chatrudi, N. T. & Ghasemzadeh, H., 2026, (Accepted/In press) In: IEEE Transactions on Mobile Computing.
Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations
Multimodal examination of daily stress rhythms in chronic Cannabis users
Glodosky, N. C., Cleveland, M. J., Azghan, R. R., Ghasemzadeh, H., McLaughlin, R. J. & Cuttler, C., Feb 2026, In: Psychopharmacology. 243, 2, p. 251-274 24 p.
Research output: Contribution to journal › Article › peer-review
7 Link opens in a new tab Scopus citations
scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier With Linearization and Compensation
Farahmand, E., Askarizadeh, M. J., Mahani, A., Ghavami, B., Ghasemzadeh, H., Hanif, M. A. & Shafique, M., 2026, In: IEEE Access. 14, p. 51108-51125 18 p.
Research output: Contribution to journal › Article › peer-review

Open Access
Time-Aware Multimodal Sensor Fusion for Blood Glucose Forecasting in Non-Diabetic Adults
Machiraju, A., Farahmand, E., Barua Soumma, S., Arefeen, A., Azhghan, R. R., Johnston, C. & Ghasemzadeh, H., 2026, In: IEEE Open Journal of Engineering in Medicine and Biology. 7, p. 241-249 9 p.
Research output: Contribution to journal › Article › peer-review

Open Access

Arizona State University Researchers Release New Study Findings on Health and Medicine (Counterfactual Modeling With Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation)
Ghasemzadeh, H. & Carpenter, S. M.
7/15/26
1 item of Media coverage
Press/Media: Press / Media
Findings in Engineering Reported from Arizona State University (Scaletrim: Scalable Truncation-based Integer Approximate Multiplier With Linearization and Compensation)
Ghasemzadeh, H.
5/25/26
1 item of Media coverage
Press/Media: Press / Media
ASU lab embeds AI into wearable medical systems
Ghasemzadeh, H.
2/1/26 → 2/26/26
2 items of Media coverage
Press/Media: Press / Media
Study Findings on Hyperglycemia Published by Researchers at Arizona State University (LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet)
Whisner, C., Buman, M., Sears, D. & Ghasemzadeh, H.
9/29/25
1 item of Media coverage
Press/Media: Press / Media
From Tempe to the world: ASU webinars spark global knowledge exchange
Perez, M., Ghasemzadeh, H. & Pilarski, N.
9/12/25
1 item of Media coverage
Press/Media: Press / Media

Hassan Ghasemzadeh

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Collaborations and top research areas from the last five years

Dive into details

Quantitative Gait Analysis as a novel diagnostic tool and clinical biomarker for Atypical Parkinsonian Syndromes

Machine Learning Design to Predict and Manage Postprandial Hyperglycemia in Patients with Type 1 Diabetes

Massachusetts AI and Technology Center for Connected Care in Aging and Alzheimer's Disease (MAITC)

KLS Neonatal Monitoring

CPS Small Human in the Loop Learning of Complex Events in Uncontrolled Environments

Counterfactual Modeling With Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Blood Glucose Forecasting

Multimodal examination of daily stress rhythms in chronic Cannabis users

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier With Linearization and Compensation

Time-Aware Multimodal Sensor Fusion for Blood Glucose Forecasting in Non-Diabetic Adults

Arizona State University Researchers Release New Study Findings on Health and Medicine (Counterfactual Modeling With Fine-Tuned LLMs for Health Intervention Design and Sensor Data Augmentation)

Findings in Engineering Reported from Arizona State University (Scaletrim: Scalable Truncation-based Integer Approximate Multiplier With Linearization and Compensation)

ASU lab embeds AI into wearable medical systems

Study Findings on Hyperglycemia Published by Researchers at Arizona State University (LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet)

From Tempe to the world: ASU webinars spark global knowledge exchange

Hassan Ghasemzadeh

Fingerprint

Collaborations and top research areas from the last five years

Grants

Scholarly Works

Press/Media