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Dimitrios Georgakopoulos

Researcher at Swinburne University of Technology

Publications -  56
Citations -  2037

Dimitrios Georgakopoulos is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Wireless sensor network & Middleware. The author has an hindex of 18, co-authored 56 publications receiving 1904 citations. Previous affiliations of Dimitrios Georgakopoulos include Telcordia Technologies & Monroe Community College.

Papers
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Proceedings ArticleDOI

Providing customized process and situation awareness in the collaboration management infrastructure

TL;DR: An awareness provisioning solution that allows customization of the awareness delivered to each process participant and minimizes information overloading and allows the combination of process-relevant information with external information as needed by the process participants is proposed.
Journal ArticleDOI

QoE in IoT: a vision, survey and future directions

TL;DR: The role of data from the perspective of IoT architectures is identified, which is a critical factor when evaluating the QoE of IoT applications, and a survey of techniques and approaches used to evaluateQoE in IoT is presented.
Book ChapterDOI

Technology and Tools for Comprehensive Business Process Lifecycle Management

TL;DR: An overview and an evaluation of the process modeling, analysis, automation, and coordination capabilities provided by integrated BPMTs and WFMSs and how they can interoperate to provide complete support for the entire business process lifecycle is discussed.
Posted Content

Dynamic Configuration of Sensors Using Mobile Sensor Hub in Internet of Things Paradigm

TL;DR: In this article, the authors present a mobile application called Mobile Sensor Hub (MoSHub), which allows variety of different sensors to be connected to a mobile phone and send the data to the cloud intelligently reducing network communication.
Proceedings ArticleDOI

Dynamic configuration of sensors using mobile sensor hub in internet of things paradigm

TL;DR: This paper presents a mobile application called Mobile Sensor Hub (MoSHub), which allows variety of different sensors to be connected to a mobile phone and send the data to the cloud intelligently reducing network communication.