Iman Azimi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 51

Top Topics

Quality Assessment

Health Monitoring

Top Venues

Future Gener. Comput. Syst.

Publications

Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
ALCM: Autonomous LLM-Augmented Causal Discovery Framework. CoRR (2024)
Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. CoRR (2024)
Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework. CoRR (2024)
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. CoRR (2024)
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
Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. npj Digit. Medicine 7 (1) (2024)
Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh C. Jain
Empathy Through Multimodality in Conversational Interfaces. CoRR (2024)
Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani
Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection. CoRR (2024)
Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani
Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. CoRR (2024)
Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg
Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach. CoRR (2024)
Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Maryam Sabah, Elahe Khatibi, Iman Azimi, Nikil D. Dutt, Jessica L. Borelli, Amir M. Rahmani
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting. CoRR (2024)
Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, Pasi Liljeberg
End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction. BIBM (2023)
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
Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. CoRR (2023)
Emad Kasaeyan Naeini, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability. ACM Trans. Comput. Heal. 4 (4) (2023)
Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh C. Jain
Conversational Health Agents: A Personalized LLM-Powered Agent Framework. CoRR (2023)
Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain
Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. MMM (1) (2023)
Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
ZotCare: a flexible, personalizable, and affordable mhealth service provider. Frontiers Digit. Health 5 (2023)
Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach. BSN (2023)
Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani
PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. ANT/EDI40 (2023)
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? EMBC (2023)
Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. CoRR (2023)
Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani
Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. BSN (2023)
Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Pasi Liljeberg
Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring. SAC (2023)
Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. ICBRA (2023)
Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, Dongjoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
Exploring computation offloading in IoT systems. Inf. Syst. 107 (2022)
Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani
Robust PPG Peak Detection Using Dilated Convolutional Neural Networks. Sensors 22 (16) (2022)
Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg
PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. EMBC (2022)
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
Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being. Frontiers Digit. Health 4 (2022)
Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg
Confidence-Enhanced Early Warning Score Based on Fuzzy Logic. Mob. Networks Appl. 27 (2) (2022)
Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg
Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection. ANT/EDI40 (2021)
Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil D. Dutt, Anna Axelin, Pasi Liljeberg, Amir M. Rahmani
Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. Sensors 21 (7) (2021)
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. EMBC (2021)
Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems. ACM Trans. Comput. Heal. 1 (2) (2020)
Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A. Downs, Nikil D. Dutt, Amir M. Rahmani
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS. CoRR (2020)
Arman Anzanpour, Delaram Amiri, Iman Azimi, Marco Levorato, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani
Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score. ACM Trans. Internet Things 2 (1) (2020)
Mohammad R. Nakhkash, Tuan Nguyen Gia, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg
Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications. COINS (2019)
Emad Kasaeyan Naeini, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt
A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things. ANT/EDI40 (2019)
Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir-Mohammad Rahmani, Pasi Liljeberg, Nikil D. Dutt, Marco Levorato
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control. CoRR (2019)
Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil D. Dutt, Pasi Liljeberg, Amir M. Rahmani
Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study. IEEE Access 7 (2019)
Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani
Dynamic Computation Migration at the Edge: Is There an Optimal Choice? ACM Great Lakes Symposium on VLSI (2019)
Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg
Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health. Future Gener. Comput. Syst. 96 (2019)
Axel Jantsch, Arman Anzanpour, Hedyeh A. Kholerdi, Iman Azimi, Lydia C. Siafara, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Nikil D. Dutt
Hierarchical dynamic goal management for IoT systems. ISQED (2018)
Amir M. Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Pasi Liljeberg
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach. Future Gener. Comput. Syst. 78 (2018)
Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg
IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring. CHASE (2018)
Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, Nikil D. Dutt
Edge-Assisted Sensor Control in Healthcare IoT. GLOBECOM (2018)
Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg
Empowering Healthcare IoT Systems with Hierarchical Edge-Based Deep Learning. CHASE (2018)
Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, Amir M. Rahmani
Enhancing the Self-Aware Early Warning Score System Through Fuzzified Data Reliability Assessment. MobiHealth (2017)
Arman Anzanpour, Iman Azimi, Maximilian Gotzinger, Amir M. Rahmani, Nima Taherinejad, Pasi Liljeberg, Axel Jantsch, Nikil D. Dutt
Self-awareness in remote health monitoring systems using wearable electronics. DATE (2017)
Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
Internet of things for remote elderly monitoring: a study from user-centered perspective. J. Ambient Intell. Humaniz. Comput. 8 (2) (2017)
Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, Nikil D. Dutt
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Trans. Embed. Comput. Syst. 16 (5s) (2017)
Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Tapio Salakoski
Medical warning system based on Internet of Things using fog computing. IWBIS (2016)
Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
Self-aware Early Warning Score System for IoT-Based Personalized Healthcare. eHealth 360° (2016)
Bruno Cafaro, Iman Azimi, Valsamis Ntouskos, Fiora Pirri, Manuel A. Ruiz Garcia
Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization. GRAPP (2015)