Gianvito Urgese

Assistant Professor with time contract
Interuniversity Department of Regional and Urban Studies and Planning (DIST)

  • Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory

Profile

Research interests

artificial intelligence
bioinformatics
edge computing
embedded systems
industry 4.0
internet of things
micrornas
neuromorphic computing
neuromorphic engineering
sequence alignment

Research topics

  • Gianvito Urgese is involved in several European funded projects focused on Neuromorphic, Bioinformatics, and Industry 4.0. His research interests focus on: (i) Research and design of optimised task-specific algorithms; (ii) Development of tools for the study of non-coding biological sequences; (iii) Design of heterogeneous SW/HW architectures to accelerate bioinformatics algorithms; (iv) Design of algorithms for exploiting the computational advantages of the neuromorphic platforms;(v) Definition of an alternative engineering process reference architecture for the management of a digitalised life-cycle of products and solutions in the Industry 4.0 projects.

Skills

ERC sectors

PE6_6 - Algorithms, distributed, parallel and network algorithms, algorithmic game theory
PE6_7 - Artificial intelligence, intelligent systems, multi agent systems
LS2_10 - Bioinformatics
PE6_13 - Bioinformatics, biocomputing, and DNA and molecular computation
PE6_1 - Computer architecture, pervasive computing, ubiquitous computing
PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

SDG

Goal 9: Industry, Innovation, and Infrastructure
Goal 12: Responsible consumption and production
Goal 11: Sustainable cities and communities

Teaching

Courses of Study Boards

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

  • Informatica. A.A. 2017/18, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
  • Informatica. A.A. 2018/19, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
  • Informatica. A.A. 2019/20, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
  • Informatica. A.A. 2020/21, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
MostraNascondi A.A. passati

Research

Research groups

Research projects

Projects funded by commercial contracts

  • Modelli statistici, Data Analytics e Machine Learning, (2022-2023) - Responsabile Scientifico
    Commercial Research
  • “Modelli statistici, data analytics e machine learning (year 2020)”, “Fog computing e opportunistic networking (year 2020)” e “Design e implementazione di funzionalità firmware avanzate (year 2020)”, (2020-2021) - Responsabile Scientifico
    Commercial Research
  • MODELLI STATISTICI, DATA ANALYTICS E MACHINE LEARNING”, “FOG COMPUTING E OPPORTUNISTIC NETWORKING” e “DESIGN E IMPLEMENTAZIONE DI FUNZIONALITÀ FIRMWARE AVANZATE”, (2019-2020) - Responsabile Scientifico
    Commercial Research

Publications

Latest publications View all publications in Porto@Iris