Daniele Jahier Pagliari

Ph.D. in Ingegneria Informatica E Dei Sistemi , 30th cycle (2014-2017)

Ph.D. obtained in 2018

Dissertation:

Design Techniques for Energy-Quality Scalable Digital Systems

Tutors:

Enrico Macii

Profile

Research interests

Electronic design automation
Embedded systems
Energy efficient electronic systems
Low-power design
Machine learning

Scientific branch

IINF-05/A - Information Processing Systems
(Area 0009 - Industrial and information engineering)

Teaching

Collegi of the degree programmes

Teachings

Bachelor of Science

  • Informatica. A.A. 2015/16, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
  • Informatica. A.A. 2016/17, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
  • Informatica. A.A. 2017/18, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
MostraNascondi A.A. passati

Research

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

Supervised PhD students

  • Luca Benfenati. Programme in Ingegneria Informatica E Dei Sistemi (cycle 39, 2023-in progress)
    Research subject: Latency-Optimized Inference for Large Language Models
    Data science, Computer vision and AI
    Data science, Computer vision and AI
  • Mohamed Amine Hamdi. Programme in Ingegneria Informatica E Dei Sistemi (cycle 39, 2023-in progress)
    Research subject: Optimizing Compilers for the Deployment of Complex Applications on Heterogeneous Edge Devices
    Computer architectures and Computer aided design
    Parallel and distributed systems, Quantum computing
    Computer architectures and Computer aided design
    Parallel and distributed systems, Quantum computing
  • Beatrice Alessandra Motetti. Programme in Ingegneria Informatica E Dei Sistemi (cycle 39, 2023-in progress)
    Research subject: Advanced Deep Learning Optimization for Extreme Edge Applications
    Data science, Computer vision and AI
    Data science, Computer vision and AI
  • Giovanni Pollo. Programme in Ingegneria Informatica E Dei Sistemi (cycle 39, 2023-in progress)
    Research subject: Design techniques for low-area digital circuits in industrial and medical applications
    Computer architectures and Computer aided design
    Data science, Computer vision and AI
    Computer architectures and Computer aided design
    Data science, Computer vision and AI
    Computer architectures and Computer aided design
    Data science, Computer vision and AI
  • Matteo Risso. Programme in Ingegneria Informatica E Dei Sistemi (cycle 37, 2021-in progress)
    Thesis: Automatic Hardware-aware Design and Optimization of Deep Learning Models
    Computer architectures and Computer aided design
    Data science, Computer vision and AI
    Computer architectures and Computer aided design
    Data science, Computer vision and AI

Publications

PoliTO co-authors

Works published during the Ph.D. View all publications in Porto@Iris

More publicationsLess publications

Society and Enterprise

Patents and other intellectual properties