Matteo Risso

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)

Research Assistant
Interuniversity Department of Regional and Urban Studies and Planning (DIST)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

Automatic hardware-aware design and optimization of deep learning models

Tutors

Research interests

Computer architectures and Computer aided design
Data science, Computer vision and AI

Biography

I hold a Bachelor's degree in Physical Engineering and a Master's degree in Electronic Engineering from Politecnico di Torino in Italy, awarded in 2018 and 2020, respectively. Currently, I am immersed in my Ph.D. journey, specializing in Computer Engineering at the same institution.
My academic journey has always been fueled by a relentless curiosity and a passion for technology. I am deeply fascinated by Machine Learning and Deep Learning, and I thrive on the challenges of Design Automation and the intricacies of building Energy-Efficient Embedded Systems. I believe that these fields hold the keys to shape a smarter and better world for everyone, where technology goes hand in hand with the good.
I like to define myself as a technology enthusiast, driven by a boundless curiosity and an insatiable hunger for knowledge. I always do my best to not only work hard but also work smart. I always strive to be a valuable team player, collaborating effectively to achieve shared goals.

Awards and Honors

  • Form to collect the information relevant for the PhD Quality Awards (2024)
  • PhD quality award at DATE 2024 PhD Forum https://date24.date-conference.com/awards (2024)
  • Best Paper Award for the “Application” track achieved at DATE 2024 conference https://date24.date-conference.com/awards (2024)
  • Each month, TC selects a “Featured Paper of the Month” to highlight a new technological or theoretical breakthrough with potential for high impact in the field. All accepted TC papers are eligible for consideration by a selection committee. The highlighted paper is available free of charge for the month on TC’s homepage. Authors of featured papers are invited to provide supplemental multimedia contents in multiple languages to promote their ideas openly to a broad audience. (2023)

Teaching

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Publications

Latest publications View all publications in Porto@Iris