Embedded Systems & Smart Manufacturing CINI Lab, Polytechnic of Bari


Daniela De Venuto, Michele Ruta, Giovanni Mezzina and Eugenio Di Sciascio

Presentation title

Embedded Systems & Smart Manufacturing CINI Lab, Polytechnic of Bari

Authors

Daniela De Venuto, Michele Ruta, Giovanni Mezzina and Eugenio Di Sciascio

Institution(s)

Polytechnic of Bari

Presentation type

Presentation of a research group from one or more scientific institutions

Abstract

The DEISLab and SisInfLab realize the Politecnico di Bari node of the CINI Laboratory on Embedded Systems & Smart Manufacturing.

The DEISLAB research area at Politecnico di Bari spans the fields of Cyber-Physical Systems Design (CPSD), Integrated System Design (ISD), and Embedded System Design (ESD). The CPSD concerns the integration of computation and physical processes whose behavior is defined by both cyber and physical parts (e.g., automotive systems, avionics, medical devices, sensor networks, etc.). The ISD deals with the development of systems onboard or full custom in CMOS technology. It includes techniques for design, modeling, and analysis of systems and consequent testing of the implemented Integrated Circuit (IC) both on-chip and PCB. The ESD involves hybrid hardware/software systems, oriented to dedicated functions and realized by the functional combination of processors, memories, and input/output peripheral devices that typically operate with real-time computing constraints within a larger mechanical or electronic system.

These research fields develop theories, tools, and technologies for the design, modeling, and analyze complex systems (including integrated circuits, biological systems, and emerging computational systems).

In the last ten years, DEISLab designed and implemented several platforms in the edge-computing framework, realizing low-complexity algorithms for healthcare, brain-computer interfaces, robotics, wireless sensors networks and food or perishable goods safety.

Recently the DEISLab starts an intensive activity in the field of the ESD, realizing compact hardware (multi-layer PCBs), with high computation performance core, to introduce vital control module in the automatic train field.

DEISLab has active collaborations with several groups from world-class universities and research centers such as: the University of California at Berkeley, US, the University of Glasgow, UK, the École polytechnique fédérale de Lausanne, EPFL, Switzerland, the Berkeley Wireless Research Center, INFN, Azienda Ospedaliero Universitaria Consorziale Policlinico di Bari, Italy, industry agencies such as: Rete Ferroviaria Italiana, STMicroelectronics, Sitael and Exprivia Healthcare IT and representative organization such as DARePuglia, Confindustria and Confagricoltura.

The SisInfLab has been researching since 2003 and has the presence of university professors, researchers, research fellowships, PhD students, and research collaborators. In recent years, some of SisInfLab's members have been awarded prizes at various prestigious international conferences including I-SEMANTICS 2012 (Kristiansand, Norway) and IOT360 Hackathon (2014 Rome). The main research topics of the SisInfLab, related to this project initiative, will reflect the adoption of the most important new technologies in the literature in the field of monitoring and analysis methods and validation of collected data. In this case, the research unit will be responsible for identifying appropriate instruments, algorithms, and data structures capable of extracting contextual information from the complex environment-building territory, properly structured by introducing pervasive and non-intrusive wireless sensor networks. Furthermore, it will be responsible to develop semi-automatic extraction, annotation, and validation of collected information. The final objective is decision support through inferences Algorithms, capable of automatically inferring new implicit information from monitoring data. Research is mainly concerned with the following topics: Knowledge representation and applications; Semantic Web; Ubiquitous computing; Mobile Semantic Grids; Recommender Systems and Linked Open Data.