Iman Azimi

65 papers A 1B 3C 4Misc 1Journal 37Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation.
CoRR
Mohammad Feli, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2025 J jnl
Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach.
CoRR
Kianoosh Kazemi, Iman Azimi, Michelle Khine, Rami N. Khayat, Amir M. Rahmani, Pasi Liljeberg
2025 J jnl
Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation.
Comput. Biol. Medicine
Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2025 J jnl
Respiration Rate Estimation via Smartwatch-based Photoplethysmography and Accelerometer Data: A Transfer Learning Approach.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2025 J jnl
TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis.
CoRR
Ziyu Wang, Elahe Khatibi, Kianoosh Kazemi, Iman Azimi, Sanaz R. Mousavi, Shaista Malik, Amir M. Rahmani
2024 J jnl
ALCM: Autonomous LLM-Augmented Causal Discovery Framework.
CoRR
Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024 J jnl
Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval.
CoRR
Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li
2024 C conf
Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction.
BSN
Yuning Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg
2024 J jnl
Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools.
CoRR
Jung In Park, Mahyar Abbasian, Iman Azimi, Dawn Bounds, Angela Jun, Jaesu Han, Robert McCarron, Jessica L. Borelli, Jia Li, Mona Mahmoudi, Carmen Wiedenhoeft, Amir M. Rahmani
2024 J jnl
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework.
CoRR
Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
2024 — conf
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection.
EMBC
Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024 J jnl
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection.
CoRR
Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024 J jnl
Empathy Through Multimodality in Conversational Interfaces.
CoRR
Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh C. Jain
2024 J jnl
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI.
npj Digit. Medicine
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
2024 C conf
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis.
BSN
Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024 J jnl
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis.
CoRR
Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
2024 — conf
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach.
EMBC
Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg
2024 J jnl
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach.
CoRR
Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg
2024 J jnl
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting.
CoRR
Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Maryam Sabah, Elahe Khatibi, Iman Azimi, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani
2024 — conf
Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients.
EMBC
Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
2024 J jnl
Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients.
CoRR
Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
2024 J jnl
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings.
CoRR
Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
2024 J jnl
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU.
CoRR
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2023 J jnl
A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability.
ACM Trans. Comput. Heal.
Emad Kasaeyan Naeini, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2023 — conf
Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings?
EMBC
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2023 J jnl
Conversational Health Agents: A Personalized LLM-Powered Agent Framework.
CoRR
Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh C. Jain
2023 — conf
End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction.
BIBM
Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, Pasi Liljeberg
2023 J jnl
Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI.
CoRR
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
2023 C conf
Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach.
BSN
Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
2023 C conf
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings.
BSN
Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
2023 — conf
PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack.
ANT/EDI40
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani
2023 Misc conf
Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring.
SAC
Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Pasi Liljeberg
2023 — conf
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU.
ICBRA
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2023 — conf
Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data.
MMM (1)
Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain
2023 J jnl
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider.
CoRR
Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
2023 J jnl
ZotCare: a flexible, personalizable, and affordable mhealth service provider.
Frontiers Digit. Health
Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
2022 J jnl
Confidence-Enhanced Early Warning Score Based on Fuzzy Logic.
Mob. Networks Appl.
Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg
2022 J jnl
Exploring computation offloading in IoT systems.
Inf. Syst.
Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2022 — conf
PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network.
EMBC
Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg
2022 J jnl
Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being.
Frontiers Digit. Health
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
2022 J jnl
Robust PPG Peak Detection Using Dilated Convolutional Neural Networks.
Sensors
Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
2021 — conf
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS.
EMBC
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani
2021 — conf
Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection.
ANT/EDI40
Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg
2021 J jnl
Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation.
Sensors
Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil D. Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani
2020 J jnl
Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems.
ACM Trans. Comput. Heal.
Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2020 J jnl
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS.
CoRR
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani
2020 J jnl
Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score.
ACM Trans. Internet Things
Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani
2019 — conf
A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things.
ANT/EDI40
Emad Kasaeyan Naeini, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt
2019 — conf
Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications.
COINS
Mohammad R. Nakhkash, Tuan Nguyen Gia, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg
2019 — conf
Dynamic Computation Migration at the Edge: Is There an Optimal Choice?
ACM Great Lakes Symposium on VLSI
Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
2019 J jnl
Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health.
Future Gener. Comput. Syst.
Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg
2019 J jnl
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control.
CoRR
Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir-Mohammad Rahmani, Pasi Liljeberg, Nikil D. Dutt, Marco Levorato
2019 J jnl
Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study.
IEEE Access
Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani
2018 B conf
Edge-Assisted Sensor Control in Healthcare IoT.
GLOBECOM
Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt
2018 B conf
Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning.
CHASE
Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg
2018 J jnl
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach.
Future Gener. Comput. Syst.
Amir M. Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Pasi Liljeberg
2018 — conf
Hierarchical dynamic goal management for IoT systems.
ISQED
Axel Jantsch, Arman Anzanpour, Hedyeh A. Kholerdi, Iman Azimi, Lydia C. Siafara, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Nikil D. Dutt
2018 B conf
IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring.
CHASE
Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg
2017 — conf
Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment.
MobiHealth
Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, Amir M. Rahmani
2017 J jnl
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT.
ACM Trans. Embed. Comput. Syst.
Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt
2017 J jnl
Internet of things for remote elderly monitoring: a study from user-centered perspective.
J. Ambient Intell. Humaniz. Comput.
Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2017 A conf
Self-awareness in remote health monitoring systems using wearable electronics.
DATE
Arman Anzanpour, Iman Azimi, Maximilian Gotzinger, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
2016 — conf
Medical warning system based on Internet of Things using fog computing.
IWBIS
Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Tapio Salakoski
2016 — conf
Self-aware Early Warning Score System for IoT-Based Personalized Healthcare.
eHealth 360°
Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
2015 — conf
Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization.
GRAPP
Bruno Cafaro, Iman Azimi, Valsamis Ntouskos, Fiora Pirri, Manuel A. Ruiz Garcia