Arman Anzanpour
PhD Candidate
Department of Computing arman.anzanpour@utu.fi Vesilinnantie 5 Turku Työhuone: 452D ORCID-tunniste: https://orcid.org/0000-0002-7614-0232 |
Internet of Things; Fog computing; Remote health monitoring; Wearables; Biosignals acquisition and analysis; Embedded electronics
Internet of Things, remote health monitoring, wearables, and resource management in IoT systems
Arman Anzanpour is a researcher at the “Health Technology” group, Department of Computing, University of Turku. He is currently a Ph.D. candidate studying IoT-based remote health monitoring systems with a focus on resource management. He received his Master in Biomedical Engineering from Amirkabir University of Technology. His research fields include medical early warning systems, Internet of Things, fog computing, remote patient monitoring, medical wearables, and embedded electronics. Collaborating with several projects and research groups, he is practically engaged with the engineering design and implementation of wireless sensor networks, wearable devices, IoT system architectures, mobile/web application development, and biosignals acquisition systems.
A patient monitoring procedure, named Early Warning Score, is in-use in hospitals for the prevention of most sudden deterioration and has been proven to reduce the risk of consequential death or disability by 75%. The aim of this research is to implement the same life-saving technique for chronic in-home patients which requires performing the same in-hospital medical measurements via a wearable device worn by in-home patients during their daily activities. Out of the hospital, the main challenges are the management of the resources and the accuracy of the measurements. A certain level of intelligence, self-awareness, and context-awareness is required in a remote patient monitoring system to maximize the continuity of the monitoring and deal with such challenges. This research is based on an IoT technology that enables biomedical and context sensing in the sensor layer, local processing and notifications in the fog layer, and data storage, processing, and artificial intelligence in the cloud layer.
- System Engineering Labs, Teacher for the IoT section, University of Turku, 2021
- Medical Instrumentation, Teaching Assistant of Tero Koivisto, University of Turku, 2020 & 2021
- IoT Systems: Design And Applications, Teaching Assistant of Dr. Matti Kaisti, University of Turku, 2019
- IoT Systems: Design And Applications, Teaching Assistant of Prof. Pasi Liljeberg, University of Turku, 2019
- Embedded IoT Programming, Teaching Assistant of Prof. Pasi Liljeberg, University of Turku, 2017
- Cyber-Physical Systems, Teaching Assistant of Prof. Amir Mohammad Rahmani, University of Turku, 2015 & 2016
- Introduction to Raspberry Pi board, University of Turku, 2015
- DELTA 2015 Summer School on Internet of Things for Health, Teaching Assistant of Prof. Amir Mohammad Rahmani and Dr. Rajeev Kumar Kanth, University of Turku, 2015
- Fundamentals of Web Design, Ferdowsi University of Mashhad, Art Faculty, 2010
- PHP: Web Programming Language, College of Ferdowsi University of Mashhad, 2004
- Visual Basic Programming, College of Ferdowsi University of Mashhad, 2003
- MATLAB Programming, College of Ferdowsi University of Mashhad, 2003
- Application of Computer in Material Science, Teaching Assistant of Prof. Ahad Zabet, Ferdowsi University of Mashhad, Engineering Faculty, 2003
- 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)