Mario Roberto Casu

Associate Professor (L. 240)
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory
  • Academic Advisor Ingegneria Elettronica L e Ingegneria Elettronica (Electronic Engineering) LM

Profile

Research interests

Cmos integrated circuits
Commercial off-the-shelf
Electronic design automation
Embedded systems
Field programmable gate arrays (fpga)
High-level synthesis
Latency-insensitive design
Machine learning
Microwave food monitoring
Microwave imaging
Microwave sensing
Network-on-chip
Silicon-on-insulator
System-on-chip
Ultra-wideband (uwb)
Vlsi

Biography

Mario R. Casu received the laurea degree summa cum laude in electronics engineering and the Ph.D. degree in electronics and communications engineering from the Politecnico di Torino, Torino, Italy, in 1998 and 2001, respectively. He is currently an associate professor in the Department of Electronics and Telecommunications of the Politecnico di Torino. His current research interests are Systems-on-Chip with specialized accelerators, System-level design and design methodology for FPGAs and ASICs, Embedded Machine Learning, and Circuits and Systems for Microwave Imaging. He is also interested in the design of circuits, systems, and platforms for industrial applications (biomedical, automotive, food). His past work focused mostly on latency-insensitive design of Systems-on-Chip (SoC) and on Networks-on-Chip. In 2010-2011 he visited the system-level design research group of Prof. Luca Carloni in the department of Computer Science at Columbia University, where he worked on the design of SoC platforms with energy-efficient specialized accelerators. In 2017 he visited the Green-IC group of Prof. Massimo Alioto at the National University of Singapore (NUS) to work on the design of specialized on-chip accelerators for Machine Learning. He was involved in 9 national academic research projects (of which 2 as principal investigator), 2 European academic research projects, and 7 national and international industrial projects (of which 2 as principal investigator). He authored or co-authored more than 120 scientific papers. He regularly serves as a reviewer for peer-reviewed journals and in the technical program committee of international conferences (among which DAC, ICCAD, DATE).

Scientific branch

IINF-01/A - Electronics
(Area 0009 - Industrial and information engineering)

Research topics

  • Embedded Machine Learning - Heterogeneous Embedded Systems (ASIC, FPGA, CPU, GPU) for an optimized execution of ML algorithms (ML); - Design of embedded ML systems for biomedical and industrial applications.
  • Microwave Imaging (MI) - Circuits and systems for generating, acquiring, and processing of signals used in MI for biomedical applications (breast cancer and stroke detection) and industrial applications (detection and classification of contaminants in packaged food).
  • System-on-Chip (SoC) - Latency-Insensitive Design to make SoC tolerant to interconnect delays; - Network-on-Chip design to efficiently interconnect SoC components (processord, accelerators, and memories); - SoC design starting from a high-level description; - Optimization of SoC implemented in FPGAs; - Electronic Design Automation (EDA) for SoC design.
  • Ultra-Wide Band (UWB) - Mixed-signal integrated circuits for UWB transmitters and receivers; - UWB circuits and systems for biomedical applications: breast cancer detection

Skills

ERC sectors

PE7_5 - (Micro- and nano-) electronic, optoelectronic and photonic components
PE7_6 - Communication technology, high-frequency technology
PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
PE6_1 - Computer architecture, pervasive computing, ubiquitous computing
PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems
PE7_3 - Simulation engineering and modelling

SDG

Goal 3: Good health and well-being
Goal 4: Quality education
Goal 9: Industry, Innovation, and Infrastructure

Editorial boards

  • IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS. (2022-), Associate Editor of magazine or editorial series

Conferences

  • Design, Automation and Test in Europe (DATE) Conference, Program committee
  • IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) (11/11/2022-13/11/2022), Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Program committee
  • Design, Automation and Test in Europe (DATE) Conference, Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Program committee
  • Design, Automation and Test in Europe (DATE) Conference, Program committee
  • International Conference on Computer-Aided Design (ICCAD), Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • Design, Automation and Test in Europe (DATE) Conference, Program committee
  • International Conference on Computer-Aided Design (ICCAD), Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • International Symposium on Networks-on-Chip, Participation to the organizing committee
  • International Conference on Computer-Aided Design (ICCAD), Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • International Symposium on Networks-on-Chip, Participation to the organizing committee
  • Design Automation Conference (DAC), Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • Design Automation Conference (DAC), Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • Design Automation Conference (DAC), Program committee
  • IEEE Nordic Circuits and Systems Conference (NORCAS), Program committee
  • International Symposium on System-on-Chip (SoC), Program committee
  • International Symposium on System-on-Chip (SoC), Program committee
  • International Workshop on Formal Methods for Globally Asynchronous Locally Synchronous Design (FMGALS), Program committee
View moreView less

Other research or teaching roles outside Politecnico

  • Visiting Researcher, presso National University of Singapore (1/5/2017-31/8/2017)
  • Visiting Professor, presso Chongqing Technology and Business University (27/6/2016-4/7/2016)
  • Visiting Researcher, presso Columbia University (15/11/2010-15/3/2011)
  • Visiting Researcher, presso CEA Grenoble (1/4/2001-30/9/2001)

Other titles

  • Honorary chair professor at the Chongqing Technology and Business University, China (2017-2019)

Roles as evaluator or expert

  • Bando per la Creazione e lo Sviluppo di Unità di Ricerca. 2015
    REGIONE AUTONOMA VALLE D'AOSTA - ASSESSORATO ATTIVITA' PRODUTTIVE - DIPARTIMENTO INDUSTRIA, ARTIGIANATO ED ENERGIA - RICERCA, INNOVAZIONE E QUALITA'
  • Bando a favore di imprese industriali per la realizzazione di progetti di ricerca e sviluppo negli ambiti della Smart Specialisation Strategy (S3) della Valle d’Aosta. 2018
    REGIONE AUTONOMA VALLE D'AOSTA - ASSESSORATO ATTIVITA' PRODUTTIVE - DIPARTIMENTO INDUSTRIA, ARTIGIANATO ED ENERGIA - RICERCA, INNOVAZIONE E QUALITA'
  • Bando “Aggregazioni R&S”. 2021
    REGIONE AUTONOMA VALLE D'AOSTA - ASSESSORATO ATTIVITA' PRODUTTIVE - DIPARTIMENTO INDUSTRIA, ARTIGIANATO ED ENERGIA - RICERCA, INNOVAZIONE E QUALITA'
  • Bando a favore di imprese industriali per la realizzazione di progetti di ricerca e sviluppo negli ambiti della Smart Specialisation Strategy (S3) della Valle d’Aosta. 2019
    FINAOSTA S.P.A.

Teaching

Collegi of the PhD programmes

  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2024/2025 (40. ciclo)
    Politecnico di TORINO
  • INGEGNERIA ELETTRICA, ELETTRONICA E DELLE COMUNICAZIONI, 2023/2024 (39. ciclo)
    Politecnico di TORINO

Collegi of the degree programmes

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Teaching and training projects

Projects funded by competitive calls

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

Supervised PhD students

  • Lorenzo Lagostina. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: EDA, Embedded Machine Learning
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    Modeling, simulation and CAD
    VLSI theory, design and applications
  • Edward Manca. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (39th cycle, 2023-in progress)
    Research subject: Neural networks HW/SW acceleration targeting CPU, ASIC and FPGA devices
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
  • Teodoro Urso. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (38th cycle, 2022-in progress)
  • Fabrizio Ottati. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Efficient Deep Learning Inference: A Digital Hardware Perspective - Evaluating and improving performance and efficiency of artificial and spiking neural networks hardware accelerators
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    Micro- and nanotechnologies, devices, systems and applications
    VLSI theory, design and applications
  • Luca Urbinati. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (36th cycle, 2020-2024)
    Thesis: Accelerating Quantized DNNs with Dedicated Hardware Accelerators and RISC-V Processors Using Precision-Scalable Multipliers
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications
    Big Data, Machine Learning, Neural Networks and Data Science
    VLSI theory, design and applications

Publications

Latest publications View all publications in Porto@Iris

Society and Enterprise

Patents and other intellectual properties