Publications

    Journal Papers

  1. Mohammad Feli, Iman Azimi, Fatemeh Sarhaddi, Zahra Sharifi-Heris, Hannakaisa Niela-Vilén, Pasi Liljeberg, Anna Axelin, and Amir M. Rahmani, “Preterm Birth Risk Stratification through Longitudinal Heart Rate and HRV Monitoring in Daily Life,” Scientific Reports, Nature, 2024 (Accepted).
  2. 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 Jain, and Amir M. Rahmani, “Foundation Metrics for Evaluating Effectiveness of Healthcare Conversations Powered by Generative AI,” npj Digital Medicine, Nature, 7(28), 2024.
  3. Zhongqi Yang, Elahe Khatibi, Nitish Nagesh, Mahyar Abbasian, Iman Azimi, Ramesh Jain, and Amir M. Rahmani, “ChatDiet: Empowering personalized nutrition-oriented food recommender chatbots through an LLM-augmented framework,” Elsevier Smart Health, IEEE/ACM CHASE, 32, 2024.
  4. Salar Jafarlou, Iman Azimi, Jocelyn Lai, Yuning Wang, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L Borelli, Nikil Dutt, and Amir M. Rahmani, “Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications,” PLOS One, 19(6): e0298949 2024.
  5. Zhongqi Yang, Yuning Wang, Ken S. Yamashita, Elahe Khatibi, Iman Azimi, Nikil Dutt, Jessica L Borelli, and Amir M. Rahmani, “Integrating wearable sensor data and self-reported diaries for personalized affect forecasting,” Elsevier Smart Health, IEEE/ACM CHASE, 32, 2024.
  6. Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil Dutt, and Amir M. Rahmani, “ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider,” Frontiers in Digital Health, 5: 1253087, 2023.
  7. Emad Kasaeyan, Fatemeh Sarhaddi, Iman Azimi, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, A Deep Learning-based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability, ACM Transactions on Computing for Healthcare, 2023.
  8. Fatemeh Sarhaddi, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani, “Maternal Social Loneliness Detection Using Passive Sensing: Continuous Monitoring in Everyday Settings,” JMIR Formative Research, 7, 2023.
  9. Mohammad Feli, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, and Pasi Liljeberg, “An Energy-Efficient Semi-Supervised Approach for On-Device Photoplethysmogram Signal Quality Assessment,” Elsevier Smart Health, IEEE/ACM CHASE, 28:100390, 2023.
  10. Jennifer Auxier, Kaisu T. Savolainen, Miriam Bender, Amir M. Rahmani, Iman Azimi, Fatemeh Sarhaddi, Iman Azimi, Anna Axelin, “Exploring access as a process of adaptation in a self-monitoring perinatal eHealth system: Mixed-method study from a socio-material perspective,” JMIR Formative Research, 7:e44385, 2023.
  11. Hannakaisa Niela-Vilén, Eeva Ekholm, Fatemeh Sarhaddi, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Miko Pasanen, and Anna Axelin, “Comparing prenatal and postpartum stress among women with previous adverse pregnancy outcomes and normal obstetric histories: A longitudinal cohort study,” Sexual & Reproductive Healthcare, 23:100820, 2023.
  12. Salar Jafarlou, Jocelyn Lai, Iman Azimi, Zahra Mousavi, Sina Labbaf, Ramesh Jain, Nikil Dutt, Jessica L Borelli, and Amir M. Rahmani, “Objective Prediction of Next-Day’s Affect Using Multimodal Physiological and Behavioral Data: Algorithm Development and Validation Study,” JMIR Formative Research, 7:e39425, 2023.
  13. Johanna Saarikko, Anna Axelin, Emilia Huvinen, Amir M. Rahmani, Iman Azimi, Miko Pasanen, and Hannakaisa Niela-Vilén, “Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial,” PLOS One, 18(1):e0279696, 2023.
  14. Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Iman Azimi, Asal Yunusova, Alex Rivera, Sina Labbaf, Arman Anzanpour, Nikil Dutt, Ramesh Jain and Jessica L Borelli, “Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being,” Frontiers in Digital Health, 2022.
  15. Fatemeh Sarhaddi, Kianoosh Kazemi, Iman Azimi, Rui Cao, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani, “A comprehensive accuracy assessment of Samsung smartwatch heart rate and heart rate variability,” PLOS One, 17(12): e0268361, 2022.
  16. Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, and Amir M. Rahmani, “Robust PPG Peak Detection Using Dilated Convolutional Neural Networks,” Sensors 22, no. 16, 6054, 2022.
  17. Fatemeh Sarhaddi, Iman Azimi, Anna Axelin, Hannakaisa Niela-Vilén, Pasi Liljeberg, and Amir M. Rahmani, “Trends in Heart Rate and Heart Rate Variability during Pregnancy and Three Months Postpartum: Continuous Monitoring in a Free-Living Context,” JMIR mHealth and uHealth, 2022.
  18. Hannakaisa Niela-Vilén, Iman Azimi, Kristin Suorsa, Fatemeh Sarhaddi, Sari Stenholm, Pasi Liljeberg, Amir M. Rahmani, and Anna Axelin, “Comparison of Oura smart ring against ActiGraph accelerometer for measurement of physical activity and sedentary time in a free-living context,” CIN: Computers, Informatics, Nursing, 2021.
  19. Cao Rui, Iman Azimi, Fatemeh Sarhaddi, Hannakaisa Niela-Vilén, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani, “Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison to Electrocardiography: A Comprehensive Analysis in Time and Frequency Domains,” JMIR Journal of Medical Internet Research, 2021.
  20. Sina Shahhosseini, Arman Anzanpour, Iman Azimi, Sina Labbaf, DongJoo Seo, Sung-Soo Lim, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, “Exploring Computation Offloading in IoT Systems,” Elsevier Journal of Information Systems (InfoSys), 2021.
  21. Fatemeh Sarhaddi, Iman Azimi, Sina Labbaf, Hannakaisa Niela-Vilén, Nikil Dutt, Anna Axelin, Pasi Liljeberg, and Amir M. Rahmani, “Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation,” Sensors, 21(7), 2021.
  22. Hannakaisa Niela-Vilén, Jennifer Auxier, Eeva Ekholm, Fatemeh Sarhaddi, Milad Asgari Mehrabadi, Aysan Mahmoudzadeh, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani, and Anna Axelin, “Pregnant women’s daily patterns of well-being before and during the COVID-19 pandemic in Finland: longitudinal monitoring through smartwatch technology,”PLOS One, 16:2, 2021.
  23. Milad Asgari Mehrabadi, Iman Azimi, Fatemeh Sarhaddi, Anna Axelin, Hannakaisa Niela-Vilén, Saana Myllyntausta, Sari Stenholm, Nikil Dutt, Pasi Liljeberg, and Amir M. Rahmani, “Sleep Tracking of a Commercially Available Smart Ring and Smartwatch Against Medical-Grade Actigraphy in Everyday Settings: Instrument Validation Study,” JMIR mHealth and uHealth, 2020.
  24. Arman Anzanpour, Delaram Amiri , Iman Azimi, Marco Levorato, Nikil Dutt, Pasi Liljeberg, and Amir M. Rahmani, “Edge-Assisted Control for Healthcare Internet-of-Things: A Case Study on PPG-based Early Warning Score,” ACM Transactions on Internet of Things (TIOT), 2020.
  25. Johanna Saarikko, Hannakaisa Niela-Vilén, Eeva Ekholm, Lotta Hamari, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani, Eliisa Löyttyniemi, and Anna Axelin, “Continuous 7-month Internet of Things-based monitoring of Health Parameters of Pregnant and Postpartum Women: A Feasibility Study,” JMIR Formative Research, 2020.
  26. Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, “Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems,” ACM Transactions on Computing for Healthcare (ACM-HEALTH), 1(2):1-25 2020.
  27. Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilén, Anna Axelin, Nikil Dutt, Pasi Liljeberg, and Amir M. Rahmani, “Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study,” IEEE Access, 7:93433-93447, 2019.
  28. Iman Azimi, Tapio Pahikkala, Amir M. Rahmani, Hannakaisa Niela-Vilén, Anna Axelin, and Pasi Liljeberg, “Missing Data Resilient Decision-making for Healthcare IoT through Personalization: A Case Study on Maternal Health,” Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 96:297-308, 2019.
  29. Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani, and Pasi Liljeberg, “Confidence-Enhanced Early Warning Score Based on Fuzzy Logic,” ACM/Springer Mobile Networks and Applications (ACM/Springer-MONET), 2019.
  30. Kirsi Grym, Hannakaisa Niela-Vilén, Eeva Ekholm, Lotta Hamari, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Eliisa Löyttyniemi and Anna Axelin, “Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth,” BMC Pregnancy and Childbirth, 19:34, 2019.
  31. Amir M. Rahmani, Tuan Nguyen Gia, Behailu Negash, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, and Pasi Liljeberg, “Exploiting Smart E-Health Gateways at the Edge of Healthcare Internet-of-Things: A Fog Computing Approach,” Elsevier Journal of Future Generation Computer Systems (Elsevier-FGCS), 78:641-658 2018.
  32. Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Tapio Pahikkala, Marco Levorato, Pasi Liljeberg, and Nikil Dutt, “HiCH: Hierarchical Fog-assisted Computing Architecture for Healthcare IoT,” ACM Transactions on Embedded Computing Systems, ESWEEK-TECS special issue (ACM-TECS), 16(5), 2017.
  33. Riitta Mieronkoski, Iman Azimi, Amir M. Rahmani, Riku Aantaa, Virpi Terävä, Pasi Liljeberg, and Sanna Salanterä, “The Internet of Things for Basic Nursing Care – A Scoping Review,” International Journal of Nursing Studies (Elsevier-IJNS), 69:78-90 2017.
  34. Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, “Internet of Things for Remote Elderly Monitoring: A Study from User-Centered Perspective,” Springer Journal of Ambient Intelligence and Humanized Computing (Springer-JAIHC), 8(2):273–289, 2017.


    35. Conference Papers

  35. Ajan Subramanian, Zhongqi Yang, Iman Azimi, and Amir M. Rahmani, “Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN’23), 2024 (Accepted).
  36. Yuning Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani, and Pasi Liljeberg, “Attention-based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN’23), 2024 (Accepted).
  37. Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh Jain, and Amir M. Rahmani, “Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients,” 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2024 (Accepted).
  38. Kianoosh Kazemi, Iina Ryhta, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, and Pasi Liljeberg, “Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach,” 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2024 (Accepted).
  39. Ziyu Wang, Zhongqi Yang, Iman Azimi, and Amir M. Rahmani, “Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection,” 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2024 (Accepted).
  40. Mohammad Feli, Kianoosh Kazemi, Iman Azimi, Yuning Wang, Amir M. Rahmani, and Pasi Liljeberg, “End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction,” IEEE International Conference on Bioinformatics and Biomedicine (BIBM’23), 2023.
  41. Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Brenda Nguyen, Hana Qureshi, Christopher Marcotullio, Jessica L Borelli, Nikil Dutt, and Amir M. Rahmani, “Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN’23), 2023.
  42. Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L Borelli, Nikil Dutt, and Amir M. Rahmani, “Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach,” IEEE-EMBS International Conference on Body Sensor Networks – Sensors and Systems for Digital Health (BSN’23), 2023.
  43. Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, and Amir M. Rahmani, “Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU,” The 10th International Conference on Bioinformatics Research and Applications, 94–100, 2023.
  44. Kianoosh Kazemi, Iman Azimi, Amir M. Rahmani, and Pasi Liljeberg, “Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings?,” 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023.
  45. Yuning Wang, Iman Azimi, Mohammad Feli, Amir M. Rahmani, and Pasi Liljeberg, “Personalized Graph Attention Network for Multivariate Time-series Change Analysis: A Case Study on Long-term Maternal Monitoring,” The 38th ACM/SIGAPP Symposium On Applied Computing, 593–598, 2023.
  46. Mahyar Abbasian, Elahe Khatibi, Iman Azimi, and Amir M. Rahmani, “PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack,” The 14th International Conference on Ambient Systems, Networks and Technologies, 220:511-518, 2023.
  47. Nitish Nagesh, Iman Azimi, Amir M. Rahmani, and Ramesh Jain, “Towards Building Deep Personal Lifestyle Models using Multimodal N-of-1 Data,” 29th International Conference on Multimedia Modeling, 589–600, 2023.
  48. Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, and Pasi Liljeberg, “PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network,” 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022.
  49. Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A Downs, Nikil Dutt, and Amir M. Rahmani, “Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS,” 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
  50. Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani, and Pasi Liljeberg, “Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection,” Elsevier International Conference on Ambient Systems, Networks and Technologies (ANT’21), 2021, Poland.
  51. Sina Shahosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, “Dynamic Computation Migration at the Edge: Is There an Optimal Choice?,” ACM Great Lakes Symposium on VLSI (GLSVLSI’19), 2019, USA.
  52. Emad Kasaeyan Naeini, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, and Nikil Dutt, “A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things,” 10th International Conference on Ambient Systems, Networks and Technologies, 2019.
  53. Mohammad R. Nakhkash, Tuan Nguyen Gia, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, and Pasi Liljeberg, “Analysis of Performance and Energy Consumption of Wearable Devices and Mobile Gateways in IoT Applications,” International Conference on Omni-layer Intelligent systems, 2019.
  54. Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, and Pasi Liljeberg, “Empowering Healthcare IoT Systems with Hierarchical Edge-based Deep Learning,” IEEE Workshop on Deep Learning and Edge Computing in IoT-centered Health Applications in conjunction with ACM/IEEE CHASE 2018 (DL-EDGE-IOT’18), 2018.
  55. Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, and Pasi Liljeberg, “IoT-based Healthcare System for Real-time Maternal Stress Monitoring,” IEEE Workshop on Deep Learning and Edge Computing in IoT-centered Health Applications in conjunction with ACM/IEEE CHASE 2018 (DL-EDGE-IOT’18), 2018.
  56. Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Amir M. Rahmani, Pasi Liljeberg, and Nikil Dutt, “Edge-Assisted Sensor Control in Healthcare IoT,” IEEE GLOBECOM (GLOBECOM’18), 2018.
  57. Axel Jantsch, Arman Anzanpour, Hedyeh Kolerdi, Iman Azimi, Lydia Chaido Siafara, Amir M. Rahmani, Nima TaheriNejad, Pasi Liljeberg, and Nikil Dutt, “Hierarchical Dynamic Goal Management for IoT Systems,” IEEE International Symposium on Quality Electronic Design (ISQED’18), 2018, USA.
  58. Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima Taherinejad, and Amir M. Rahmani, “Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment,” International Conference on Wireless Mobile Communication and Healthcare (MobiHealth’17), 2017, Austria.
  59. Arman Anzanpour, Iman Azimi, Maximilian Götzinger, Amir M. Rahmani, Nima TaheriNejad, Pasi Liljeberg, Axel Jantsch, and Nikil Dutt, “Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics ,” Design, Automation, And Test In Europe (DATE) Conference, Switzerland, 2017.
  60. Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, and Tapio Salakoski, “Medical Warning System Based on Internet of Things Using Fog Computing,” IEEE International Workshop on Big Data and Information Security (IWBIS), Indonesia, 2016.
  61. Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, “Self-aware Early Warning Score System for IoT-Based Personalized Healthcare,” International Conference on IoT and Big Data Technologies for HealthCare (IoTCare’16), Hungary, 2016.
  62. Bruno Cafaro, Iman Azimi, Valsamis Ntouskos, Fiora Pirri and Manuel A Ruiz Garcia, “Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization,” International Conference on Computer Graphics Theory and Applications (GRAPP), 150-157, 2015.


    63. Book Chapters

  63. Riitta Mieronkoski, Iman Azimi, Lydia Sequeira, and Laura-Maria Peltonen, “Smart home technology for geriatric rehabilitation and the Internet of Things,” Smart Home Technologies and Services for Geriatric Rehabilitation, Elsevier, 2022.
  64. Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil Dutt, and Marco Levorato, “Optimizing Energy in Wearable Devices using Fog Computing,” Fog Computing: Theory and Practice, Wiley, 2020.
  65. Behailu Negash, Tuan Nguyen Gia, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Tomi Westerlund, Amir M. Rahmani, Pasi Liljeberg, and Hannu Tenhunen, “Leveraging Fog Computing for Healthcare IoT,” Fog Computing in the Internet of Things (Intelligence at the Edge), Springer, 2017.


    66. Refereed Workshop Papers

  66. Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen, “Self-Aware Internet-of-Things Based Medical Early Warning Score System,” Self-Awareness in Cyber-Physical Systems Workshop,  Austria, 2016.


    67. Theses

  67. Iman Azimi, “Personalized Data Analytics for Internet-of-Things-based Health Monitoring,” Doctoral Thesis, University of Turku, Turku, Finland, 2019
  68. Iman Azimi, “Point Cloud Segmentation,” Master Thesis, Università degli studi di Roma ‘La Sapienza’ (Sapienza, University of Rome), Rome, Italy, 2014
  69. Iman Azimi, “Interface Design and Signal Processing for Fetal Monitoring,” Bachelor Thesis, University of Isfahan, Esfahan, Iran, 2010.