Author: Arman Anzanpour

Comments Off on IEEE/ACM CHASE 2019 Workshop on EdgeDL: Deep Learning on Edge for Smart Health and Wellbeing Applications

IEEE/ACM CHASE 2019 Workshop on EdgeDL: Deep Learning on Edge for Smart Health and Wellbeing Applications

Wearable Internet of Things (wIoT) together with deep learning is revolutionizing the smart health and wellbeing applications. Predominantly IoT devices are good at acquiring medical data and later sending it cloud. Edge-based deep learning infuse intelligence in terms of processing, analysis and inference on edge near wearables. Edge deep learning not only offload the cloud but also ensure high-throughput, low-latency solutions.

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Comments Off on Our paper at ANT’19 received the best paper award

Our paper at ANT’19 received the best paper award

Our paper, “Energy-efficient and Reliable Wearable Internet-of-Things through Fog-Assisted Dynamic Goal Management”, authored and presented by Arman Anzanpour, received the best paper award at the 10th International Conference on Ambient Systems, Networks and Technologies (ANT-2019), Leuven, Belgium. The abstract of the paper is available in the rest of this post.

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Comments Off on Our article on the cover of IEEE Journal of Biomedical and Health Informatics

Our article on the cover of IEEE Journal of Biomedical and Health Informatics

Our article, “IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform”, was selected by the Editorial Board of IEEE Journal of Biomedical and Health Informatics to be published as the Cover Article. The cover image and the abstract of the paper are shown below:

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Comments Off on SLIM: Supporting Lifestyle Change in Obese Pregnant Mothers through Wearable Internet-of-Things

SLIM: Supporting Lifestyle Change in Obese Pregnant Mothers through Wearable Internet-of-Things

Overweight (BMI > 25) and obesity (BMI > 30) are constantly growing problems causing many health consequences. Correspondingly, the prevalence of overweight and obesity in pregnant women is increasing. Pregnant women with obesity have indisputably increased risk for gestational diabetes mellitus, depression, and miscarriage, just to mention few. These pregnancy complications have negative effects on […]

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Comments Off on PREVENT: Preterm Birth Prevention in Everyday Settings

PREVENT: Preterm Birth Prevention in Everyday Settings

Preterm birth (PTB) is the most common cause of neonatal deaths. Due to the high rate of PTBs (15M/y), it is extremely beneficial to identify the women at risk at early stage and prevent PTB. Physiological parameters could help us to uncover and model multifactorial processes that lead to PTB. Continuous monitoring of such parameters […]

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Comments Off on Call for Paper: ACM/Springer Mobile Networks & Applications (MONET) Journal

Call for Paper: ACM/Springer Mobile Networks & Applications (MONET) Journal

The interaction between technology and healthcare has a long history. However, the rapid growth of mobile and wireless technologies, Internet of Things (IoT) and Big Data, as well as the public embracement of miniature wearable biosensors have generated new opportunities for personalized healthcare services. The advantages of these services include the availability and accessibility, ability to personalize […]

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Comments Off on A special issue of Sensors Journal (ISSN 1424-8220) on MobiHealth 2017 selected manuscripts

A special issue of Sensors Journal (ISSN 1424-8220) on MobiHealth 2017 selected manuscripts

This Special Issue seeks selected manuscripts with major extensions for a Special Issue on the 7th EAI International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), held from 14–17 November 2017, in Vienna, Austria. The 7th edition of MobiHealth proposed to continue and extend the focus areas of the first six editions with a focus on specific […]

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Comments Off on IoCT-CARE: Internet of Cognitive Things for Personalized Healthcare

IoCT-CARE: Internet of Cognitive Things for Personalized Healthcare

Quality of Experience (QoE) is a key metric for successful delivery of end-user services for IoT-enabled applications. Achieving consistent end-user QoE poses tremendous challenges in the face of resource constraints and dynamic variations at multiple scales of the IoT system stack: at the application, network, resource, and device levels. This proposal outlines a self-aware cognitive […]

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Comments Off on 2 Internship positions in the Department of Future Technologies / Embedded Electronics

2 Internship positions in the Department of Future Technologies / Embedded Electronics

Two Internship positions are available in the Department of Future Technologies / Embedded Electronics: Internship position 1: Medical data analytics and IoT Required basic skills: MATLAB or programming skills (Python), knowledge in digital signal processing, machine learning and pattern recognition. Job description: Internet of Things enabled healthcare provides connection between things (i.e., wearable and environmental […]

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