Arman Anzanpour
Postdoctoral Researcher
Department of Computing arman.anzanpour@utu.fi Vesilinnantie 5 Turku Työhuone: 452D ORCID-tunniste: https://orcid.org/0000-0002-7614-0232 |
Healthcare IoT; Remote Patient Monitoring; Wireless Biosignal Data Acquisition; Biosignal Processing; Edge Computing; IoT-based Early Warning Score Systems
Healthcare IoT; Wearable Electronics; Biosignal Processing; Remote Patient Monitoring; Energy Optimization; Embedded Systems; Edge Computing; Medical Device Design; Predictive Healthcare;
I am a Postdoctoral Researcher in the Health Technology Lab within the Department of Computing at the University of Turku. I completed my PhD in Information and Communication Technology at the same university. My work lies at the intersection of computer science, electronic engineering, and clinical healthcare, with a focus on developing practical technologies for real-world health monitoring.
My primary research centers on IoT-based health monitoring systems, edge and fog computing architectures, and remote patient monitoring solutions for home environments. I am particularly motivated by the engineering aspects of this work, specializing in the design and implementation of complete IoT system loops, from raw data acquisition and secure data transmission to real-time analysis and response.
Over the past decade, I have contributed to research, development, and system design across several major projects: NewLife, RM4Health, Moore4Medical, APPLAUSE, SAFE, IoCT-CARE, and SPA. My current work focuses on the EU-funded NewLife project, where I develop smart IoT-based data systems tailored for maternal and newborn health monitoring.
To date, my research has resulted in more than 40 peer-reviewed publications, which have collectively received over 3,000 citations. I have been honored with three Best Paper Awards at international conferences, as well as Research Excellence Awards from the Nokia Foundation and the Finnish Foundation for Technology Promotion (TES), recognizing my contributions to remote health monitoring system design and development.
- Healthcare Internet of Things (IoT) and Internet of Medical Things (IoMT)
- Edge and fog computing architectures for real-time medical data processing
- Medical Early Warning Systems (EWS) and predictive healthcare algorithms
- Design and development of medical wearables and wireless sensor networks
- Bio-signal acquisition and processing
- Energy optimization and resource management in resource-constrained embedded systems
- Data science and big data engineering for high-frequency biomedical signals
- Maternal and newborns health monitoring solutions
- Dynamic Computation Migration at the Edge: Is There an Optimal Choice? (2019) GLSVLSI '19: Proceedings of the 2019 on Great Lakes Symposium on VLSI Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil Dutt, Amir M. Rahmani
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Energy-efficient and reliable wearable internet-of-things through fog-assisted dynamic goal management (2019)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Edge-Assisted Sensor Control in Healthcare IoT (2018) IEEE GLOBECOM 2018 Amiri Delaram, Anzanpour Arman, Azimi Iman, Levorato Marco, Rahmani Amir M., Liljeberg Pasi, Dutt Nikil
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Empowering Healthcare IoT Systems with Hierarchical Edge-based Deep Learning (2018) 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Iman Azimi, Janne Takalo-Mattila, Arman Anzanpour, Amir M. Rahmani, Juha-Pekka Soininen, Pasi Liljeberg
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Enhancing the Self-Aware Early Warning Score System through Fuzzified Data Reliability Assessment (2018)
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach (2018)
- Future Generation Computer Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Hierarchical Dynamic Goal Management for IoT Systems (2018)
- International symposium on quality electronic design proceedings
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - IoT-Based Healthcare System for Real-Time Maternal Stress Monitoring (2018) 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Olugbenga Oti, Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Anna Axelin, Pasi Liljeberg
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT (2017)
- ACM Transactions in Embedded Computing Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Leveraging fog computing for healthcare IoT (2017) Fog Computing in the Internet of Things Negash B., Gia T., Anzanpour A., Azimi I., Jiang M., Westerlund T., Rahmani A., Liljeberg P., Tenhunen H.
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Portable Multipurpose Bio-signal Acquisition and Wireless Streaming Device for Wearables (2017) Proceedings of the 2017 IEEE Sensors Applications Symposium (SAS 2017) Victor Kathan Sarker, Mingzhe Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Self-aware Early Warning Score System for IoT-Based Personalized Healthcare (2017) eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Self-Awareness in Remote Health Monitoring Systems using Wearable Electronics (2017)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Context-Aware Early Warning System for In-Home Healthcare Using Internet-of-Things (2016) Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Arman Anzanpour, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - IoT-based remote facial expression monitoring system with sEMG signal (2016) 2016 IEEE Sensors Applications Symposium (SAS) Mingzhe Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir M. Rahmani, Tomi Westerlund, Sanna Salanterä, Pasi Liljeberg, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Medical Warning System Based on Internet of Things Using Fog Computing (2016) IWBIS 2016 International Workshop on Big Data and Information Security Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, and Tapio Salakoski
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - ON THE FEASIBILITY OF ATTRIBUTE-BASED ENCRYPTION ON INTERNET OF THINGS DEVICES (2016)
- IEEE Micro
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Self-Aware Internet-of-Things Based Medical Early Warning Score System (2016) Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
(O2 Muu julkaisu ) - Experimental Study and Modeling of Polytetrafluoroethylene (PTFE) and Hydroxyapatite Biocomposite Surface Treatment Using Selective Laser Sintering (2015)
- AASCIT Journal of Materials
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Internet of Things Enabled In-Home Health Monitoring System Using Early Warning Score (2015) 5th EAI International Conference on Wireless Mobile Communication and Healthcare Arman Anzanpour, Amir-Mohammad Rahmani, Pasi Liljeberg, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)



