Publications

    Book chapter

  1. Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil Dutt, Marco Levorato, "Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control", Fog Computing: Theory and Practice, Wiley, 2019

  2. Journal paper

  3. Jennifer Auxier, Milad Asgari Mehrabadi, Amir M. Rahmani, and Anna Axelin, "A Descriptive Comparative Pilot Study: Association between use of a self-monitoring device and sleep and stress outcomes in pregnancy", Computers, Informatics, Nursing Journal (CIN), 2022
  4. Tamara Jimah, Priscilla Kehoe, Holly Borg, Pamela Pimentel, Amir Rahmani, Nikil Dutt, Yuqing Guo, "A Micro-level Analysis of Physiological Responses to COVID-19: Continuous Monitoring of Pregnant Women in California", Frontiers in Public Health, section Infectious Diseases – Surveillance, Prevention and Treatment, 2022
  5. Candace W Burton, Heather Abrahim, Thomas D Hughes, Charles A Downs, Natalie Lambert, Maria Giraldo Herrera, Yong Huang, Amir M. Rahmani, Jung-Ah Lee, Rana Chakraborty, Melissa D Pinto, "A Novel Conceptual Model of Trauma-Informed Care for Patients with Post-Acute Sequelae of SARS-CoV-2 Illness (PASC)", Journal of Advanced Nursing, 2022
  6. Emad Kasaeyan Naeini, Mingzhe Jiang, Elise Syrjälä, Michael-David Calderon, Riitta Mieronkoski, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M Rahmani, "A Prospective Study Evaluating a Pain Assessment Tool in Postoperative Environment: A Protocol for Algorithm Testing and Enhancement", JMIR Research Protocols Jorunal, 2020
  7. Rui Cao, Iman Azimi, Fatemeh Sarhaddi, Hannakaisa Niela-Vilen, Anna Axelin, Pasi Liljeberg, 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, 2021
  8. Khuong Vo, Tai Le, Amir M. Rahmani, Nikil Dutt, Hung Cao, "An Efficient and Robust Deep Learning Method with 1-D Octave Convolution to Extract Fetal Electrocardiogram", Sensors Journal, 2020
  9. Asal Yunusova, Jocelyn Lai, Alexander P. Rivera, Sirui Hu, Sina Labbaf, Amir M. Rahmani, Nikil D. Dutt, Ramesh C. Jain, & Jessica L. Borelli, "Assessing Mental Health in Emerging Adulthood through a Mental Health Navigator: A Study Protocol", JMIR Journal of Research Protocols, 2021
  10. Hannakaisa Niela-Vilen, Amir M. Rahmani, Pasi Liljeberg, and Anna Axelin, "Being ‘A Google Mom’ or Securely Monitored at Home – Perceptions of Remote Monitoring in Maternity Care", Wiley's Journal of Advanced Nursing, 2019
  11. Melissa D Pinto, Natalie Lambert, Charles A Downs, Heather Abrahim, Thomas D Hughes, Amir M. Rahmani, Candace W Burton, Rana Chakraborty, and Anna Axelin, "Case Report: Antihistamines for Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection", The Journal for Nurse Practitioners (JNP), 2022
  12. 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", Computers, Informatics, Nursing Journal (CIN), 2021
  13. Maximilian Götzinger, Arman Anzanpour, Iman Azimi, Nima TaheriNejad, Axel Jantsch, Amir M. Rahmani, Pasi Liljeberg, "Confidence-Enhanced Early Warning Score Based on Fuzzy Logic", ACM/Springer Mobile Networks and Applications (ACM/Springer-MONET), 2019
  14. Delaram Amiri, Arman Anzanpour, Iman Azimi, Marco Levorato, Pasi Liljeberg, Nikil Dutt, and Amir M. Rahmani, "Context-Aware Control of Wearable Sensors via Edge Computing", ACM Transactions on Computing for Healthcare (ACM-HEALTH), 2019
  15. Johanna Saarikko; Hannakaisa Niela-Vilen; Eeva Ekholm; Lotta Hamari; Iman Azimi; Pasi Liljeberg; Amir M Rahmani; Eliisa Löyttyniemi; Anna Axelin;, "Continuous 7-month Internet of Things -based monitoring of Health Parameters of Pregnant and Postpartum Women: A Feasibility Study", JMIR, 2020
  16. Yong Huang, Melissa D Pinto, Jessica L Borelli, Milad Asgari Mehrabadi, Heather Abrihim, Nikil Dutt, Natalie Lambert, Erika L Nurmi, Rana Chakraborty, Amir M Rahmani, Charles Downs, "COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler:Looking for Clarity in the Haze of the Pandemic", medRxiv, 2021
  17. Natalie Lambert, Survivor Corps, Sarah A. El-Azab, Nathan S. Ramrakhiani, Anthony Barisano, Lu Yu, Kaitlyn Taylor, Alvaro Esperanca, Charles A. Downs, Heather L. Abrahim, Amir M. Rahmani, Jessica L. Borelli, Rana Chakraborty, Melissa D. Pinto, "COVID-19 Survivors’ Reports of the Timing, Duration, and Health Impacts of Post-Acute Sequelae of SARS-CoV-2 (PASC) Infection", medRxiv, 2021
  18. 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", arXiv preprint arXiv:2011.10470, 2020
  19. R. Mieronkoski, E. Syrjälä, M. Jiang, A. Rahmani, T. Pahikkala, P. Liljeberg, S. Salanterä, "Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography", the Public Library of Science (PLOS) ONE Journal, 2020
  20. Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani, "Digital Health-Enabled Community-Centered Care (D-CCC): A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop AI", medrxiv, 2021
  21. Sarah M. Rodrigues, Anil Kanduri, Adeline M. Nyamathi, Nikil Dutt, Pramod P. Khargonekar, Amir M. Rahmani, "Digital Health-Enabled Community-Centered Care: A Scalable Model to Empower Future Community Health Workers utilizing Human-in-the-Loop Artificial Intelligence", JMIR Formative Research Journal (JMIR-JFR), 2022
  22. A. Anzanpour, D. Amiri, I. Azimi, , M. Levorato, N. Dutt, P. Liljeberg, A.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, 2020
  23. 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
  24. Geng Yang, Zhibo Pang, Jamal Deen, Mianxiong Dong, Yuan-Ting Zhang, Nigel H. Lovell, and Amir M. Rahmani, "Homecare Robotic Systems for Healthcare 4.0: Visions and Enabling Technologies", IEEE Journal of Biomedical and Health Informatics, 2020
  25. Johanna Saarikko, Hannakaisa Niela-Vilén, Amir M. Rahmani, and Anna Axelin, "Identifying target behaviors for weight management interventions for women who are overweight during pregnancy and the postpartum period: A qualitative study informed by the Behaviour Change Wheel,", BMC Pregnancy and Childbirth (PnC), 2021
  26. Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Miranda M. Lim, Nikil Dutt, Amir M. Rahmani, Hung Cao, "Investigation of Machine Learning Approaches for Traumatic Brain Injury Classification via EEG Assessment in Mice", MDPI Sensors 2020, 2020
  27. 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, 2021
  28. Zahra Sharifiheris, Juho Laitala, Antti Airola, Amir M. Rahmani, and Miriam Bender, "Machine learning modeling for preterm birth prediction using health record: A systematic review", JMIR Medical Informatics, 2022
  29. Jessica Borelli, Jocelyn Lai, Asal Yunusova, Alex P. Rivera, Sina Labbaf, Sirui Hu, Nikil D. Dutt, Ramesh C. Jain, Amir Rahmani, "Nine Months in the Life of a College Student During 2020: A Case Study Using Multi-Modal Assessments to Capture Personalized Contexts of Well-being", PsyArXiv, 12 Nov, 2021
  30. Han, H. J., Labbaf, S., Borelli, J. L., Dutt, N. & Rahmani, A. M., "Objective stress monitoring based on wearable sensors in everyday settings", Taylor & Francis Journal of Medical Engineering and Technology, 2020
  31. Seyed Amir Hossein Aqajari, Rui Cao, Emad Kasaeyan Naeini, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M. Rahmani, "Pain assessment tool with Electrodermal Activity for post-operative patients: A method validation study", JMIR mHealth and uHealth, 2021
  32. Emad Kasaeyan Naeini, Ajan Subramanian, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana Nelson, Amir M Rahmani, "Pain Recognition with ECG Features in Postoperative Patients: Method Validation Study", Journal of Medical Internet Research, 2021
  33. Amir M. Rahmani, Jocelyn Lai, Salar Jafarlou, Asal Yunusova, Alex. P. Rivera, Sina Labbaf, Sirui Hu, Arman Anzanpour, Nikil Dutt, Ramesh Jain, Jessica L. Borelli, "Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being", arXiv, 2020
  34. Iman Azimi, Olugbenga Oti, Sina Labbaf, Hannakaisa Niela-Vilen, Anna Axelin, Nikil Dutt, Pasi Liljeberg, and Amir M. Rahmani, "Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study", IEEE Access, 2019
    BibTex
    @ARTICLE{8758420,
    author={I. {Azimi} and O. {Oti} and S. {Labbaf} and H. {Niela-Vilén} and A. {Axelin} and N. {Dutt} and P. {Liljeberg} and A. M. {Rahmani}},
    journal={IEEE Access},
    title={Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study},
    year={2019},
    volume={7},
    number={},
    pages={93433-93447},
    abstract={Sleep is a composite of physiological and behavioral processes that undergo substantial changes during and after pregnancy. These changes might lead to sleep disorders and adverse pregnancy outcomes. Several studies have investigated this issue; however, they were restricted to subjective measurements or short-term actigraphy methods. This is insufficient for a longitudinal maternal sleep quality evaluation. A longitudinal study: 1) requires a long-term data collection approach to acquire data from everyday routines of mothers and 2) demands a sleep quality assessment method exploiting a large volume of multivariate data to assess sleep adaptations and overall sleep quality. In this paper, we present an Internet-of-Things-based long-term monitoring system to perform an objective sleep quality assessment. We conduct longitudinal monitoring, where 20 pregnant mothers are remotely monitored for six months of pregnancy and one month postpartum. To evaluate sleep quality adaptations, we: 1) extract several sleep attributes and study their variations during the monitoring and 2) propose a semi-supervised machine learning approach to create a personalized sleep model for each subject. The model provides an abnormality score, which allows an explicit representation of the sleep quality in a clinical routine, reflecting possible sleep quality degradation with respect to her own data. Sleep data of 13 participants (out of 20) are included in our analysis, as their data are adequate for the study, including 172.15±33.29 days of sleep data per person. Our fine-grained objective measurements indicate that the sleep duration and sleep efficiency are deteriorated in pregnancy and notably in postpartum. In comparison to the mid of the second trimester, the sleep model indicates the increase of sleep abnormality at the end of pregnancy (2.87 times) and postpartum (5.62 times). We also show that the model enables individualized and effective care for sleep disturbances during pregnancy, as compared to a baseline method.},
    keywords={Task analysis;Sensors;Internet of Things;Resource management;Remuneration;Device-to-device communication;Wireless sensor networks;Anomaly detection;Internet of Things;longitudinal study;maternity care;sleep monitoring;sleep quality assessment},
    doi={10.1109/ACCESS.2019.2927781},
    ISSN={2169-3536},
    month={},}
  35. Hannakaisa Niela-Vilen, Jennifer Auxier, Eeva Ekholm, Fatemeh Sarhaddi, Milad Asgari Mehrabadi, Aysan Mahmoudzadeh, Iman Azimi, Pasi Liljeberg, Amir M Rahmani, 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, 2021
  36. Yuqing Guo, Priscilla Kehoe, Pamela Pimentel, Julie Rousseau, Anna Axelin, Amir M. Rahmani, Nikil Dutt, "Relationship Between Stress and Exercise in Low-Income Perinatal Women: A Mixed Methods Study,", The American Journal of Maternal Child Nursing (MCN), 2020
  37. Maximilian Gotzinger, David Juhasz, Nima TaheriNejad, Edwin Willegger, Benedikt Tutzer, Pasi Liljeberg, Axel Jantsch, and Amir M. Rahmani, "RoSA: A Framework for Modeling Self-Awareness in Cyber-Physical Systems", IEEE Access Journal, 2020
  38. ahra Mousavi, Katharine Simon, Alex Rivera, Asal Yunusova, Sirui Hu, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Ramesh Jain, Amir M. Rahmani, "Sleep Patterns and Affect Dynamics Among College Students during COVID-19 Pandemic: An Intensive Longitudinal Study", JMIR Formative Research Journal, 2022
  39. Zahra Mousavi, Katharine Simon, Alex Rivera, Asal Yunusova, Sirui Hu, Sina Labbaf, Salar Jafarlou, Nikil Dutt, Ramesh Jain, Amir M. Rahmani, Jessica Borelli, "Sleep Patterns and Affect Dynamics Among College Students during COVID-19 Pandemic: An Intensive Longitudinal Study", JMIR Formative Research Journal (JMIR-JFR), 2022
  40. Milad Asgari Mehrabadi, Iman Azimi, Fatemeh Sarhaddi, Anna Axelin, Hannakaisa Niela-Vilén, Saana Myllyntausta, Sari Stenholm, Nikil Dutt, Pasi Liljeberg, Amir M Rahmani, "Sleep Validation of Commercially Available Smart Ring and Watch Against Medical-Grade Actigraphy in Everyday Settings", JMIR mHealth and uHealth, 2020
  41. Milad Asgari Mehrabadi, Nikil Dutt, Amir M. Rahmani, "The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis", JMIR Public Health and Surveillance, 2021
  42. Tamara Jimah; Holly Borg; Priscilla Kehoe; Pamela Pimentel; Arlene Turner; Sina Labbaf; Milad Asgari; Amir Rahmani; Nikil Dutt; Yuqing Guo, "The Two Happy Hearts Technology-based Pregnancy Health and Wellness Intervention in California: Case Study", JMIR, 2021
  43. Fatemeh Sarhaddi, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, 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
  44. Elham Shamsa, Alma Pröbstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir m. Rahmani, Pasi Liljeberg, "UBAR: User and Battery Aware Resource Management for Smartphones", ACM Transactions on Embedded Computing Systems (TECS), 2020
  45. Jocelyn Lai, Amir Rahmani, Asal Yunusova, Alex Rivera, Sina Labbaf, Sirui Hu, Nikil Dutt, Ramesh Jain, Jessica Borelli, "Using Multi-modal Assessments to Capture Personalized Contexts of College Student Well-being in 2020: A Case Study", JMIR Formative Research, 2021

  46. Conference paper

  47. Tamara Jimah, Holly Borg, Milad Asgari Mehrabadi, Sina Labbaf and Yuqing Guo, "A Digital Health Approach to Promote Emotional Well-Being in Pregnant Women: The Two Happy Hearts Case Study", Association of Women's Health, Obstetric and Neonatal Nurses Conference, Orlando, Florida, 2021
  48. Holly Borg, Hannah Vasquez, Michelle Heredia, Melissa Navarrete, Nikil Dutt, Amir M. Rahmani, and Yuqing Guo, "A Self-Management Model: Using Wearable Devices for Continuous Monitoring during the Perinatal Period", National Perinatal Association Annual Conference Perinatal Care and the 4th Trimester” (NPA’20), 2020
  49. Tamara Jimah, Holly Borg, Pam Pimentel, Arlene Turner and Yuqing Guo, "Adapting the Two Happy Hearts Model to improve maternal and infant care during the COVID-19 pandemic", Association of Maternal & Child Health Programs Virtual Annual Conference, 2021
  50. Emad Kasaeyan Naeini, Sina Shahhosseini, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, and Nikil Dutt, "AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems", IEEE/ACM Design, Automation and Test in Europe Conference (DATE), 2022
  51. Amir Hosein Afandizadeh Zargari, Seyed Amir Hossein Aqajari, Hadi Khodabandeh, Amir M. Rahmani, Fadi Kurdahi, "An Accurate Non-accelerometer-based PPG Motion Artifact Removal Technique using CycleGAN", ACM Transactions on Computing for Healthcare, 2022
  52. Emad Kasaeyan Naeini, Sina Shahhosseini, Ajan Subramanian, Tingjue Yin, Amir M. Rahmani, Nikil Dutt, "An Edge-Assisted and Smart System for Real-Time Pain Monitoring", IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2019
  53. Seyed Amir Hossein Aqajari, Rui Cao, Amir Hosein Afandizadeh Zargari, Amir M. Rahmani, "An End-To-End and Accurate PPG-Based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks", EMBC, 2021
  54. Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir M. Rahmani, Miranda Lim, Hung Cao,, "Classification of Mild Traumatic Brain Injury in a Mouse Model Using Machine Learning Approaches", 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
  55. Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir Rahmani, Miranda Lim, Hung Cao, "Classification of Traumatic Brain Injury in a Mouse Model Using Quantitative Electroencephalogram Methods and Machine Learning Approaches", BMES Annual Meeting, 2020
  56. Florian Maurer, Bryan Donyanavard, Amir M. Rahmani, Nikil Dutt, and Andreas Herkersdorf, "Constraint-Awareness in Self-Optimizing MPSoCs", Self-Awareness in Cyber-Physical Systems Workshop (SelPhys’20), 2020
  57. Ali Tazarv, Sina Labbaf, Amir M. Rahmani, Nikil Dutt, and Marco Levorato, "Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement", ACM International Conference on Information Technology for Social Good (GoodIT’21), 2021
  58. Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Iman Azimi, Charles A Downs, Nikil Dutt, Amir M. Rahmani, "Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS", EMBC, 2021
  59. Dongjoo Seo, Sina Shahhosseini, Milad Asgari Mehrabadi, Bryan Donyanavard, Sung-Soo Lim, Nikil Dutt, and Amir Rahmani, "Dynamic iFogSim: A Framework for Full-Stack Simulation of Dynamic Resource Management in IoT Systems", IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2020
  60. Salar Jafarlou, Amir M. Rahmani, Nikil Dutt, Sanaz Rahimi Mousavi, "ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022
  61. Eunae Ju, Jung-Ah Lee, Priscilla Kehoe, Amir Rahmani, "Effective SLEEP Interventions for Community-Dwelling People with Dementia", Western Institute of Nursing's 54th Annual Communicating Nursing Research Conference, 2020
  62. Momahmmad-Reza Nakhkash, Anil Kanduri, Amir M. Rahmani, and Pasi Liljeberg, "End-to-End Approximation for Characterizing Energy Efficiency of IoT Applications", IEEE Nordic Circuits and Systems Conference (NORCAS’19), 2019
  63. Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil Dutt, "Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing", ACM Great Lakes Symposium on VLSI (GLSVLSI’22), 2022
  64. Lucretia Williams, Gillian R. Hayes, Yuqing Guo, Amir M. Rahmani, Nikil Dutt, "HCI and mHealth Wearable Tech: A Multidisciplinary Research Challenge", ACM CHI Conference on Human Factors in Computing Systems, Case Study (CHI'20-Case Study), 2020
  65. Sina Shahhosseini, Tianyi Hu, Dongjoo Seo, Anil Kanduri, Bryan Donyanavard, Amir M. Rahmani and Nikil Dutt, "Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks", ISQED, 2022
  66. Manoj Vishwanath, Salar Jafarlou, Ikhwan Shin, Nikil Dutt, Amir M. Rahmani, Carolyn Jones, Miranda Lim, Hung Cao, "Investigation of Machine Learning and Deep Learning Approaches for Detection of Mild Traumatic Brain Injury from Human Sleep Electroencephalogram*", EMBC, 2021
  67. Manoj Vishwanath, Nikil Dutt, Amir M. Rahmani, Miranda Lim, Hung Cao, "Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022
  68. Aysan Mahmoudzadeh, Iman Azimi, Amir M. Rahmani and Pasi Liljeberg, "Lightweight PPG Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection", 12th International Conference on Ambient Systems, Networks and Technologies (ANT-2021), 2021
  69. Nima TaheriNejad, Paolo Perego, Amir M. Rahmani, "Mobile Health Technology: From Daily Care and Pandemics to their Energy Consumption and Environmental Impact", ACM/Springer Mobile Networks and Applications (ACM/Springer-MONET), 2022
  70. Milad Asgari Mehrabadi, Seyed Amir Hossein Aqajari, Amir Hosein Afandizadeh Zargari, Nikil Dutt, Amir M. Rahmani, "Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022
  71. Rui Cao, Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Amir M. Rahmani, "Objective Pain Assessment Using Wrist-Based PPG Signals: A Respiratory Rate Based Method", EMBC, 2021
  72. Sina Shahhosseini, DongJoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, and Nikil Dutt, "Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks", ACM Transactions on Embedded Computing Systems (ACM-TECS), 2022
  73. Khuong Vo, Emad Kasaeyan, Amir Naderi, Daniel Jilani, Amir M Rahmani, Nikil Dutt, Hung Cao, "P2E-WGAN: ECG Waveform Synthesis from PPG with Conditional Wasserstein Generative Adversarial Networks", The 36th ACM/SIGAPP Symposium On Applied Computing, 2020
  74. Mingzhe Jiang, Wanqing Wu, Amir M. Rahmani, Sanna Salanterä, Pasi Liljeberg, "Personal Pain Sensitivity Prediction from Ultra-short-term Resting Heart Rate Variability", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022
  75. Ali Tazarv, Sina Labbaf, Stephanie M. Reich, Nikil Dutt, Amir M. Rahmani, Marco Levorato, "Personalized Stress Monitoring Using Wearable Sensors in Everyday Settings", EMBC, 2021
  76. Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg, "PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022
  77. Rui Cao, Yong Huang, Amir M. Rahmani, Karen Lindsay, "Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach", 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22), 2022
  78. Seyed Amir Hossein Aqajari, Emad Kasaeyan Naeini, Milad Asgari Mehrabadi, Sina Labbaf, Nikil Dutt and Amir M. Rahmani, "pyEDA: An Open-Source Python Toolkit for Pre-processing and Feature Extraction of Electrodermal Activity", 12th International Conference on Ambient Systems, Networks and Technologies (ANT-2021), 2021
  79. Yong Huang, Rui Cao, Amir M. Rahmani, "Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution", Machine Learning for Healthcare Conference, 2022
  80. Juho Laitala, Mingzhe Jiang, Elise Syrjälä, Emad Kasaeyan Naeini, Antti Airola, Amir M. Rahmani, Nikil D. Dutt, Pasi Liljeberg, "Robust ECG R-peak Detection Using LSTM", The 35th ACM/SIGAPP Symposium On Applied Computing (SAC'20), 2019
  81. Jung-Ah Lee, Anthony Park, and Amir M. Rahmani, "Sleep Duration and Quality in Dementia Caregivers: Wearable Iot Technology", Western Institute of Nursing's 52nd Annual Communicating Nursing Research Conference (WINURSING’20), 2020
  82. Negin Sattari, Milad Asgari Mehrabadi, Amir Aqajari, Jing Zhang, Katharine Simon, Elisabet Alzueta, Teji Duali, Massimiliano de Zambotti, Amir M. Rahmani, Fiona Baker, and Sara Mednick, "Sleep Quality Prediction During the Menstrual Cycle based on Daily Sleep Diary Reports", SLEEP meeting, 2021
  83. Sina Shahhosseini, Anil Kanduri, Milad Asgari Mehrabadi, Emad Kasaeyan Naeini, DongJoo Seo, Sung-Soo Lim, Amir M. Rahmani, Nikil Dutt, "Towards Smart and Efficient Health Monitoring Using Edge-Enabled Situational-Awareness", AICAS, 2021
  84. Tamara Jimah, Holly Borg, Priscilla Kehoe, Sina Labbaf, Milad Asgari Mehrabadi, Amir M. Rahmani, Nikil Dutt and Yuqing Guo, "Two Happy Hearts: A Technology-Based Personalized Health Self-Management Model for Pregnant Women", American Nursing Informatics Association Conference, San Diego, California, 2021
  85. Amir M. Rahmani, Sina Labbaf , Yuqing Guo, Joseph Onwuka, Ali Tazarv, Marco Levorato, and Nikil Dutt, "UNITE Technological Design: Promotion of Maternal Health Equity in Underserved Communities in Orange County, California", Institute for Diversity and Health Equity 2020 National Leadership and Education Conference (NLEC’20), 2020