Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization. - Bruno Cafaro; Iman Azimi; Valsamis Ntouskos; Fiora Pirri; Manuel A. Ruiz Garcia (GRAPP, 2015)

Self-aware Early Warning Score System for IoT-Based Personalized Healthcare. - Iman Azimi; Arman Anzanpour; Amir M. Rahmani; Pasi Liljeberg; Hannu Tenhunen (eHealth 360°, 2016)

Medical warning system based on Internet of Things using fog computing. - Iman Azimi; Arman Anzanpour; Amir M. Rahmani; Pasi Liljeberg; Tapio Salakoski (IWBIS, 2016)

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 (DATE, 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 (MobiHealth, 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)

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)

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 (CHASE, 2018)

IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring. - Olugbenga Oti; Iman Azimi; Arman Anzanpour; Amir M. Rahmani; Anna Axelin; Pasi Liljeberg (CHASE, 2018)

Edge-Assisted Sensor Control in Healthcare IoT. - Delaram Amiri; Arman Anzanpour; Iman Azimi; Marco Levorato; Amir M. Rahmani; Pasi Liljeberg; Nikil D. Dutt (GLOBECOM, 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 (ISQED, 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)

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 (ANT/EDI40, 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 (COINS, 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 (ACM Great Lakes Symposium on VLSI, 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)

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)

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)

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)

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)

Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection. - Aysan Mahmoudzadeh; Iman Azimi; Amir M. Rahmani; Pasi Liljeberg (ANT/EDI40, 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 (EMBC, 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)

PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. - Yuning Wang; Iman Azimi; Kianoosh Kazemi; Amir M. Rahmani; Pasi Liljeberg (EMBC, 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)

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)

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)

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks. - Kianoosh Kazemi; Juho Laitala; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (Sensors, 2022)

PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. - Mahyar Abbasian; Elahe Khatibi; Iman Azimi; Amir M. Rahmani (ANT/EDI40, 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 (BIBM, 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 (BSN, 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 (BSN, 2023)

Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? - Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (EMBC, 2023)

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. - Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (ICBRA, 2023)

Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. - Nitish Nagesh; Iman Azimi; Tom Andriola; Amir M. Rahmani; Ramesh C. Jain (MMM (1), 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 (SAC, 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 001; Ramesh C. Jain; et al. (CoRR, 2023)

Conversational Health Agents: A Personalized LLM-Powered Agent Framework. - Mahyar Abbasian; Iman Azimi; Amir M. Rahmani; Ramesh C. Jain (CoRR, 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, 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., 2023)

Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. - Ajan Subramanian; Zhongqi Yang; Iman Azimi; Amir M. Rahmani (BSN, 2024)

Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction. - Yuning Wang; Zhongqi Yang; Iman Azimi; Amir M. Rahmani; Pasi Liljeberg (BSN, 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 (EMBC, 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 (EMBC, 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 (EMBC, 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)

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)

ALCM: Autonomous LLM-Augmented Causal Discovery Framework. - Elahe Khatibi; Mahyar Abbasian; 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)

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)

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 L. Borelli; Jia Li 054; Mona Mahmoudi; Carmen Wiedenhoeft; Amir M. Rahmani (CoRR, 2024)

Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. - Zhongqi Yang; Iman Azimi; Salar Jafarlou; Sina Labbaf; Brenda Nguyen; Hana Qureshi; Christopher Marcotullio; Jessica L. Borelli; Nikil D. Dutt; Amir M. Rahmani (CoRR, 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 001; et al. (npj Digit. Medicine, 2024)

Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation. - Mohammad Feli; Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (Comput. Biol. Medicine, 2025)

An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation. - Mohammad Feli; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (CoRR, 2025)

Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach. - Kianoosh Kazemi; Iman Azimi; Michelle Khine; Rami N. Khayat; Amir M. Rahmani; Pasi Liljeberg (CoRR, 2025)

TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis. - Ziyu Wang; Elahe Khatibi; Kianoosh Kazemi; Iman Azimi; Sanaz R. Mousavi; Shaista Malik; Amir M. Rahmani (CoRR, 2025)

Respiration Rate Estimation via Smartwatch-based Photoplethysmography and Accelerometer Data: A Transfer Learning Approach. - Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)