Iman Azimi

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.

Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Ram Sriram, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani

npj Digit. Medicine, 2024

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

Jung In Park, Mahyar Abbasian, Iman Azimi, Dawn Bounds, Angela Jun, Jaesu Han, Robert McCarron, Jessica Borelli, Jia Li, Mona Mahmoudi, Carmen Wiedenhoeft, Amir Rahmani

CoRR, 2024

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

Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li

CoRR, 2024

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

Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani

CoRR, 2024

Empathy Through Multimodality in Conversational Interfaces.

Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh C. Jain

CoRR, 2024

ALCM: Autonomous LLM-Augmented Causal Discovery Framework.

Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani

CoRR, 2024

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

Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Maryam Sabah, Elahe Khatibi, Iman Azimi, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani

CoRR, 2024

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

Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani

CoRR, 2024

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

Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg

CoRR, 2024

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

Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani

CoRR, 2024

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

Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani

CoRR, 2024

2023

A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability.

Emad Kasaeyan Naeini, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

ACM Trans. Comput. Heal., October, 2023

ZotCare: a flexible, personalizable, and affordable mhealth service provider.

Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani

Frontiers Digit. Health, May, 2023

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

Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh C. Jain

CoRR, 2023

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

Mahyar Abbasian, Elahe Khatibi, Iman Azimi, David Oniani, Zahra Shakeri Hossein Abad, Alexander Thieme, Zhongqi Yang, Yanshan Wang, Bryant Lin, Olivier Gevaert, Li-Jia Li, Ramesh C. Jain, Amir M. Rahmani

CoRR, 2023

Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring.

Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Pasi Liljeberg

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data.

Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU.

Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

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?

Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

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.

Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani

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.

Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani

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.

Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, Pasi Liljeberg

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack.

Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani

Proceedings of the 14th International Conference on Ambient Systems, 2023

2022

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks.

Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani

Sensors, 2022

Confidence-Enhanced Early Warning Score Based on Fuzzy Logic.

Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg

Mob. Networks Appl., 2022

Exploring computation offloading in IoT systems.

Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

Inf. Syst., 2022

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

Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Arman Anzanpour, Nikil D. Dutt, Ramesh C. Jain, Jessica L. Borelli

Frontiers Digit. Health, 2022

PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network.

Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg

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.

Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil D. Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani

Sensors, 2021

Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS.

Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani

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.

Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg

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.

Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani

ACM Trans. Internet Things, 2020

Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems.

Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

ACM Trans. Comput. Heal., 2020

2019

Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health.

Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg

Future Gener. Comput. Syst., 2019

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

Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir-Mohammad Rahmani, Pasi Liljeberg, Nikil D. Dutt, Marco Levorato

CoRR, 2019

Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study.

Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani

IEEE Access, 2019

Dynamic Computation Migration at the Edge: Is There an Optimal Choice?

Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani

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.

Mohammad R. Nakhkash, Tuan Nguyen Gia, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg

Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019

A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things.

Emad Kasaeyan Naeini, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt

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.

Amir M. Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Pasi Liljeberg

Future Gener. Comput. Syst., 2018

Hierarchical dynamic goal management for IoT systems.

Axel Jantsch, Arman Anzanpour, Hedyeh A. Kholerdi, Iman Azimi, Lydia C. Siafara, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Nikil D. Dutt

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Edge-Assisted Sensor Control in Healthcare IoT.

Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt

Proceedings of the IEEE Global Communications Conference, 2018

IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring.

Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg

Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018

Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning.

Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg

Proceedings of the Third IEEE/ACM International Conference on Connected Health: Applications, 2018

2017

HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT.

Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt

ACM Trans. Embed. Comput. Syst., 2017

Internet of things for remote elderly monitoring: a study from user-centered perspective.

Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen

J. Ambient Intell. Humaniz. Comput., 2017

Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment.

Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, Amir M. Rahmani

Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Self-awareness in remote health monitoring systems using wearable electronics.

Arman Anzanpour, Iman Azimi, Maximilian Gotzinger, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016

Medical warning system based on Internet of Things using fog computing.

Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Tapio Salakoski

Proceedings of the International Workshop on Big Data and Information Security, 2016

Self-aware Early Warning Score System for IoT-Based Personalized Healthcare.

Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen

Proceedings of the eHealth 360°, 2016

2015

Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization.

Bruno Cafaro, Iman Azimi, Valsamis Ntouskos, Fiora Pirri, Manuel A. Ruiz Garcia

Proceedings of the GRAPP 2015, 2015