Edge-cloud continuum techniques For IoT monitoring applications

  • What it is

    Mobility experience with a research focus

  • Who it’s for

    Master students involved in the final research; PhD sandwich; Post Doc

Department

Department of Computer Science and Engineering 

Main research activities/topics/projects

The research activity will focus on design, implementation and testing of IoT-based solutions for monitoring applications in different domains (structural health monitoring, smart agriculture, environmental monitoring). Specifically, the activities will address the application of edge computing and smart edge-cloud integration to process the IoT data nearby the sources or at any intermediate node. In the broad-domain of IoT edge-cloud continuum, three main research challenges can be considered as possible topics for Master/PhD thesis: (i) edge and Federated AI techniques for IoT data analytics; (ii) task and service migration within the continuum; (iii) IoT interoperability and data integration.

The candidate will join the IoT Prism laboratory and will be co-supervised by researchers of the lab. The IoT Prim lab aims at designing and developing IT solutions for next-generation IoT, pervasive and mobile systems. In the last 5 years, the laboratory hosted 2 visiting PhD and 2 visiting Professors from Brazil (from UFABC and UnB). Moreover, Prof. Marco Di Felice joined the EU-BR project SWAMP which included UNIBO and UFABC as partners of the consortium. The SWAMP coordinator in Brazil was Prof. Carlos Alberto Kamienski.

Working language

English

Special entry requirements

Programming skills (knowledge of at least 1 programming language between: C, C++, Java, Javascript, Typescript, Python)

Duration in months (min-max)

Master Research: 6-12

PhD sandwich: 6-12

Post Doc: 6-12

Contacts

Main scientific contact person

Prof. Marco Di Felice
Full Professor
Dept. of Computer Science and Engineering

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Other scientific contact persons of the same group

Prof. Angelo Trotta
Assistant Professor
Dept. of Computer Science and Engineering

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