World's Best Scientists 2026 revealed!
Award Badge
Engineering and Technology
Italy
2026

D-Index & Metrics

Engineering and Technology

D-Index
107
Citations
46396
World Ranking
96
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Italy Leader Award
  • 2025 - Research.com Engineering and Technology in Italy Leader Award

Overview

Enrico Zio is affiliated with the Polytechnic University of Milan in Italy. Their research primarily focuses on engineering, with significant contributions across various subfields including Control and Systems Engineering, Statistics, Probability and Uncertainty, Safety, Risk, Reliability and Quality, Electrical and Electronic Engineering, and Civil and Structural Engineering.

Their work concentrates on key topics such as Risk and Safety Analysis, Reliability and Maintenance Optimization, Fault Detection and Control Systems, Machine Fault Diagnosis Techniques, Infrastructure Resilience and Vulnerability Analysis, Probabilistic and Robust Engineering Design, and Nuclear Engineering Thermal-Hydraulics.

Enrico Zio has contributed to numerous scientific publications, with recent works including:

  • Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice, 2021, Reliability Engineering & System Safety
  • A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer, 2020, Applied Soft Computing
  • Remaining useful life prediction using multi-scale deep convolutional neural network, 2020, Applied Soft Computing
  • Prognostics and health management: A review from the perspectives of design, development and decision, 2021, Reliability Engineering & System Safety
  • Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study, 2024, Reliability Engineering & System Safety

Their frequent coauthors include Francesco Di Maio, Piero Baraldi, Jinjun Zhang, Wanqing Song, and Michele Compare.

Enrico Zio has published extensively in leading venues such as Reliability Engineering & System Safety, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, Energies, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, and SSRN Electronic Journal.

Best Publications

  • Artificial intelligence for fault diagnosis of rotating machinery: A review

    Ruonan Liu;Boyuan Yang;Enrico Zio;Enrico Zio;Xuefeng Chen

  • Reliability engineering: Old problems and new challenges

    Enrico Zio

  • Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

    Enrico Zio;Enrico Zio

  • A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

    Aytaç Altan;Seçkin Karasu;Enrico Zio;Enrico Zio;Enrico Zio

  • Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation

    Marzio Marseguerra;Enrico Zio;Luca Podofillini

  • Challenges in the vulnerability and risk analysis of critical infrastructures

    Enrico Zio;Enrico Zio

  • System Reliability and Risk Analysis

    Enrico Zio

  • The Monte Carlo Simulation Method for System Reliability and Risk Analysis

    Enrico Zio

  • Some considerations on the treatment of uncertainties in risk assessment for practical decision making

    Terje Aven;Enrico Zio

  • A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system

    Enrico Zio;Francesco Di Maio

  • Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

    Boyuan Yang;Ruonan Liu;Enrico Zio

  • The future of risk assessment

    Enrico Zio;Enrico Zio

  • Particle filtering prognostic estimation of the remaining useful life of nonlinear components

    Enrico Zio;Giovanni Peloni

  • Remaining useful life prediction using multi-scale deep convolutional neural network

    Han Li;Wei Zhao;Yuxi Zhang;Enrico Zio

  • An Introduction to the Basics of Reliability and Risk Analysis

    Enrico Zio

  • Failure and reliability prediction by support vector machines regression of time series data

    Márcio das Chagas Moura;Enrico Zio;Isis Didier Lins;Enrique López Droguett

  • Multiobjective optimization by genetic algorithms: application to safety systems

    P.Giuggioli Busacca;M. Marseguerra;E. Zio

  • Optimizing Maintenance and Repair Policies via a Combination of Genetic Algorithms and Monte Carlo Simulation

    Marzio Marseguerra;Enrico Zio

  • An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability

    Francesco Cadini;F. Santos;Enrico Zio;Enrico Zio

  • Prognostics and health management: A review from the perspectives of design, development and decision

    Yang Hu;Xuewen Miao;Yong Si;Ershun Pan

  • Simulation modelling of repairable multi-component deteriorating systems for ‘on condition’ maintenance optimisation

    J. Barata;C.Guedes Soares;M. Marseguerra;E. Zio

  • Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method

    Sheng Hong;Zheng Zhou;Enrico Zio;Kan Hong

Frequent Co-Authors

Piero Baraldi
Piero Baraldi Polytechnic University of Milan
Yan-Fu Li
Yan-Fu Li Tsinghua University
Terje Aven
Terje Aven University of Stavanger
Bruno Sudret
Bruno Sudret ETH Zurich
Ahti Salo
Ahti Salo Aalto University
Antonio Cammi
Antonio Cammi Polytechnic University of Milan
C. Guedes Soares
C. Guedes Soares Instituto Superior Técnico
Xinping Yan
Xinping Yan Wuhan University of Technology
Vasile Palade
Vasile Palade Coventry University

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re interested in studying Engineering and Technology in the USA, there are a variety of blockchain degree programs available online. These cutting-edge programs can help you build expertise in areas like fintech, cryptocurrency, and secure digital transactions—skills in high demand across technology-driven industries.

For those passionate about the intersection of tech and athletics, a sports management degree online can lead to diverse roles in event management, analytics, and digital marketing within the sports sector. Flexible programs allow you to gain practical, industry-relevant knowledge while balancing other commitments.

Urban development continues to grow alongside technological advances. With a focus on sustainability and smart cities, a urban development degree online prepares graduates to shape infrastructure and city planning using modern tools and data-driven decisions.

Time and affordability are often key factors. Those seeking fast-tracked education may be interested in a master's degree in 6 months online. These accelerated programs offer efficient routes for upskilling and career advancement in specialized engineering and technology fields.

Best Scientists Citing Enrico Zio

Trending Scientists