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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 PhD programmes

  • MICRO- AND NANO-ELECTRONICS, 2024/2025 (41. ciclo)
    Università degli Studi di PAVIA

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 groups

Research projects

Projects funded by competitive calls

Projects funded by commercial contracts

Supervised PhD students

  • Carlo Marra. Programme in Ingegneria Informatica E Dei Sistemi (cycle 41, 2026-in progress)
  • 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
  • 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
  • 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
  • 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 based on machine learning
    Computer architectures and Computer aided design
    Data science, Computer vision and AI
  • Matteo Risso. Programme in Ingegneria Informatica E Dei Sistemi (cycle 37, 2021-2025)
    Thesis: Automatic Hardware-aware Design and Optimization of Deep Learning Models
    Computer architectures and Computer aided design
    Data science, Computer vision and AI
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Publications

PoliTO co-authors

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

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Society and Enterprise

Patents and other intellectual properties