Publications
20
Citations
288
Est. group size
~1
Recurring co-author estimate
Active years
8
Publishing since 2019
Darpit Dave's research focuses on predicting dangerous blood sugar events—especially hypoglycemia (low blood sugar) and hyperglycemia (high blood sugar)—in people with diabetes, using wearable sensors like ECG (heart signal monitors) and continuous glucose monitors combined with machine learning. Recent work also explores federated learning, a privacy-preserving technique that allows machine learning models to be trained across many patients' data without centralizing sensitive health information. This work sits at the intersection of biomedical signal processing, wearable health technology, and applied machine learning for diabetes care.
Publication output was minimal or absent in the earlier part of the decade but has grown noticeably in recent years, with the highest counts occurring in 2021 and again from 2024 onward.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Federated Ensemble Framework for Hypoglycemia Prediction (Preprint)
2026
- Nodes selection in Federated Learning for Hypoglycemia PredictionHypoglycemia is an acute diabetic condition in which blood glucose drops below 70 milligrams per deciliter. Consequences of hypoglycemia include seizures, coma, and death. Hypoglycemia is often avoidable if emerging episodes are identified early enough, so accurate prediction can be highly beneficial to patients with diabetes. Prior work shows that timely prediction of hypoglycemic events is feasible using continuous glucose monitoring (CGM) time-series data and deep learning; however, deep learning typically requires substantial amounts of training data, motivating aggregation of CGM data across many patients, while CGM data itself is highly sensitive and may not be easil (Preprint)
2026
- A multimodal physiological dataset for non-invasive blood glucose estimation
Scientific Data · 2025
- Hypoglycemia Prediction in Type 1 Diabetes With Electrocardiography Beat Ensembles
Journal of Diabetes Science and Technology · 2025
- Hypoglycemia and hyperglycemia detection using ECG: A multi-threshold based personalized fusion model
Biomedical Signal Processing and Control · 2024
- FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions
arXiv (Cornell University) · 2024
- Detection of glycemic excursions using morphological and time-domain ECG features
2023
- Detection of Hypoglycemia and Hyperglycemia Using Noninvasive Wearable Sensors: Electrocardiograms and Accelerometry
Journal of Diabetes Science and Technology · 2022
- Joint Hypoglycemia Prediction and Glucose Forecasting via Deep Multi-Task Learning
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) · 2022
- Improved Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia: Model Development and Validation Study
JMIR Diabetes · 2021
- Predictive model for microclimatic temperature and its use in mosquito population modeling
Scientific Reports · 2021
- AI and Machine Learning in Diabetes Management: Opportunity, Status, and Challenges
Lecture notes in bioengineering · 2021
- Improved Low-Glucose Predictive Alerts Based on Sustained Hypoglycemia: Model Development and Validation Study (Preprint)
2021
- Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction
Journal of Diabetes Science and Technology · 2020
- Machine learning and AI for long-term fault prognosis in complex manufacturing systems
CIRP Annals · 2019
- Journal of Diabetes Science and Technology×3
- CIRP Annals×1
- JMIR Diabetes×1
- Scientific Reports×1
- Lecture notes in bioengineering×1
- Joseph Aloi
Medicine · Indiana University
- Robert P. Hoffman
Medicine · The Ohio State University
- Eileen R. Faulds
Medicine · The Ohio State University
- Kathleen Dungan
Medicine · The Ohio State University
- Elizabeth Buschur
Medicine · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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