Presentation title

EDA Group @ Polytechnic of Turin

Authors

Enrico Macii, Massimo Poncino, Andrea Calimera, Daniele Jahier Pagliari, Edoardo Patti, Sara Vinco, Santa Di Cataldo, Lorenzo Bottaccioli and Roberto Giorgio Rizzo

Institution(s)

Polytechnic of Turin

Presentation type

Presentation of a research group from one or more scientific institutions

Abstract

EDA (Electronic Design Automation) Group is an interdepartmental research group including researchers from the Department of Control and Computer Engineering (DAUIN) and the Interuniversity Department of Regional and Urban Studies and Planning (DIST) of Politecnico di Torino. Our research is aimed at the design and development of automated techniques for complex systems. Benefiting from tight interdisciplinary collaborations with other research institutions and with industry experts, our research activities span the following main application domains.

1. VLSI-CAD

Design Automation for standard digital CMOS ICs, Beyond-CMOS circuits and Electrical Energy Systems (EES), with particular emphasis on (i) computer-aided design (CAD) algorithms methodologies and prototypes tools for low-power and variation tolerant Integrated Circuits; (ii) CAD tools, electrical modeling and circuit-level simulation of graphene-based devices, and (iii) CAD tools, modeling, design, and simulation of EES systems with charge allocation/distribution/recycling policies.

2. Smart City

Design and development of novel software solutions for Smart City with particular emphasis on (i) IoT devices for energy monitoring and control applications, (ii) distributed software architectures for ambient intelligence and for network interoperability, (iii) software solutions for simulating and optimizing energy demand response, (iv) Virtual and Augmented reality applications for interactive visualization of energy information.

3. Industry 4.0 and Smart Manufacturing

Smart optimization of all the items in a manufacturing process (including concept generation, production, and product transaction) in the context of the 4th industrial revolution. The solid expertise in IoT technologies, cyber-physical systems, wireless sensor networks and machine learning foster innovative solutions aimed at (i) more efficient manufacturing of new products, (ii) dynamic response to product demand, (iii) real-time optimization of manufacturing production and supply-chain networks.

---

Additional material

For more details on this presentation please click the button below: