Iman Azimi

Orcid: 0000-0001-5003-299X

According to our database1, Iman Azimi authored at least 51 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.
npj Digit. Medicine, 2024

Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools.
CoRR, 2024

Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval.
CoRR, 2024

Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis.
CoRR, 2024

Empathy Through Multimodality in Conversational Interfaces.
CoRR, 2024

ALCM: Autonomous LLM-Augmented Causal Discovery Framework.
CoRR, 2024

Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting.
CoRR, 2024

ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework.
CoRR, 2024

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach.
CoRR, 2024

Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection.
CoRR, 2024

Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients.
CoRR, 2024

2023
A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability.
ACM Trans. Comput. Heal., October, 2023

ZotCare: a flexible, personalizable, and affordable mhealth service provider.
Frontiers Digit. Health, May, 2023

Conversational Health Agents: A Personalized LLM-Powered Agent Framework.
CoRR, 2023

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI.
CoRR, 2023

Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring.
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023

Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings?
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack.
Proceedings of the 14th International Conference on Ambient Systems, 2023

2022
Robust PPG Peak Detection Using Dilated Convolutional Neural Networks.
Sensors, 2022

Confidence-Enhanced Early Warning Score Based on Fuzzy Logic.
Mob. Networks Appl., 2022

Exploring computation offloading in IoT systems.
Inf. Syst., 2022

Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being.
Frontiers Digit. Health, 2022

PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation.
Sensors, 2021

Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection.
Proceedings of the 12th International Conference on Ambient Systems, 2021

2020
Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score.
ACM Trans. Internet Things, 2020

Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems.
ACM Trans. Comput. Heal., 2020

2019
Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health.
Future Gener. Comput. Syst., 2019

Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control.
CoRR, 2019

Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study.
IEEE Access, 2019

Dynamic Computation Migration at the Edge: Is There an Optimal Choice?
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications.
Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019

A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things.
Proceedings of the 10th International Conference on Ambient Systems, Networks and Technologies (ANT 2019) / The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40 2019) / Affiliated Workshops, April 29, 2019

2018
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach.
Future Gener. Comput. Syst., 2018

Hierarchical dynamic goal management for IoT systems.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Edge-Assisted Sensor Control in Healthcare IoT.
Proceedings of the IEEE Global Communications Conference, 2018

IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring.
Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018

Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning.
Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018

2017
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT.
ACM Trans. Embed. Comput. Syst., 2017

Internet of things for remote elderly monitoring: a study from user-centered perspective.
J. Ambient Intell. Humaniz. Comput., 2017

Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment.
Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Self-awareness in remote health monitoring systems using wearable electronics.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
Medical warning system based on Internet of Things using fog computing.
Proceedings of the International Workshop on Big Data and Information Security, 2016

Self-aware Early Warning Score System for IoT-Based Personalized Healthcare.
Proceedings of the eHealth 360°, 2016

2015
Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization.
Proceedings of the GRAPP 2015, 2015


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