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2020 – today
- 2024
[j15]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)- [i16]Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. CoRR abs/2401.05469 (2024) - [i15]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 abs/2402.10153 (2024) - [i14]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 abs/2402.10862 (2024) - [i13]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 abs/2402.16909 (2024) - [i12]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 abs/2403.00781 (2024) - [i11]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 abs/2403.13841 (2024) - [i10]Elahe Khatibi, Mahyar Abbasian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani:
ALCM: Autonomous LLM-Augmented Causal Discovery Framework. CoRR abs/2405.01744 (2024) - [i9]Mahyar Abbasian, Iman Azimi, Mohammad Feli, Amir M. Rahmani, Ramesh C. Jain:
Empathy Through Multimodality in Conversational Interfaces. CoRR abs/2405.04777 (2024) - [i8]Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani:
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. CoRR abs/2406.16252 (2024) - [i7]Iman Azimi, Mohan Qi, Li Wang, Amir M. Rahmani, Youlin Li:
Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval. CoRR abs/2408.02964 (2024) - [i6]Jung In Park, Mahyar Abbasian, Iman Azimi, Dawn Bounds, Angela Jun, Jaesu Han, Robert McCarron, Jessica Borelli, Jia Li, Mona Mahmoudi, Carmen Wiedenhoeft, Amir Rahmani:
Building Trust in Mental Health Chatbots: Safety Metrics and LLM-Based Evaluation Tools. CoRR abs/2408.04650 (2024) - 2023
- [j14]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) - [j13]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): 24:1-24:22 (2023) - [c23]Mahyar Abbasian, Elahe Khatibi, Iman Azimi, Amir M. Rahmani:
PHAS: An End-to-End, Open-Source, and Portable Healthcare Analytics Stack. ANT/EDI40 2023: 511-518 - [c22]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: 1895-1900 - [c21]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: 1-4 - [c20]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: 1-4 - [c19]Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? EMBC 2023: 1-5 - [c18]Kianoosh Kazemi, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. ICBRA 2023: 94-100 - [c17]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: 589-600 - [c16]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: 593-598 - [i5]Sina Labbaf, Mahyar Abbasian, Iman Azimi, Nikil D. Dutt, Amir M. Rahmani:
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider. CoRR abs/2307.01905 (2023) - [i4]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 abs/2309.12444 (2023) - [i3]Mahyar Abbasian, Iman Azimi, Amir M. Rahmani, Ramesh C. Jain:
Conversational Health Agents: A Personalized LLM-Powered Agent Framework. CoRR abs/2310.02374 (2023) - 2022
- [j12]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) - [j11]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: 101860 (2022) - [j10]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): 691-708 (2022) - [j9]Kianoosh Kazemi, Juho Laitala, Iman Azimi, Pasi Liljeberg, Amir M. Rahmani:
Robust PPG Peak Detection Using Dilated Convolutional Neural Networks. Sensors 22(16): 6054 (2022) - [c15]Yuning Wang, Iman Azimi, Kianoosh Kazemi, Amir M. Rahmani, Pasi Liljeberg:
PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. EMBC 2022: 3387-3391 - 2021
- [j8]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): 2281 (2021) - [c14]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: 140-147 - [c13]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: 2140-2143 - 2020
- [j7]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): 7:1-7:25 (2020) - [j6]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): 1:1-1:21 (2020) - [i2]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 abs/2011.10470 (2020)
2010 – 2019
- 2019
- [j5]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: 93433-93447 (2019) - [j4]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: 297-308 (2019) - [c12]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: 551-558 - [c11]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: 68-73 - [c10]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: 519-524 - [i1]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 abs/1907.11989 (2019) - 2018
- [j3]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: 641-658 (2018) - [c9]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: 57-62 - [c8]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: 63-68 - [c7]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: 1-6 - [c6]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: 370-375 - 2017
- [j2]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): 273-289 (2017) - [j1]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): 174:1-174:20 (2017) - [c5]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: 1056-1061 - [c4]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: 3-11 - 2016
- [c3]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: 49-55 - [c2]Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Tapio Salakoski:
Medical warning system based on Internet of Things using fog computing. IWBIS 2016: 19-24 - 2015
- [c1]Bruno Cafaro, Iman Azimi, Valsamis Ntouskos, Fiora Pirri, Manuel A. Ruiz Garcia:
Point Cloud Structural Parts Extraction based on Segmentation Energy Minimization. GRAPP 2015: 150-157
Coauthor Index
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