World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6815
World Ranking
9728
National Ranking
284

Overview

Maria Pia Fanti is affiliated with the Polytechnic University of Bari in Italy. Their research output spans the field of engineering, with a focus on electrical and electronic engineering, computational theory and mathematics, automotive engineering, computer networks and communications, and industrial and manufacturing engineering.

The scientist's work covers several key topics, including:

  • Petri Nets in System Modeling
  • Electric Vehicles and Infrastructure
  • Transportation and Mobility Innovations
  • Formal Methods in Verification
  • IoT and Edge/Fog Computing
  • Business Process Modeling and Analysis
  • Transportation Planning and Optimization

Their recent papers illustrate a breadth of applications and research interests. Notable publications include:

  • "Prediction of home energy consumption based on gradient boosting regression tree," 2021, Energy Reports
  • "A Review of Digital Twin Technology for Electric and Autonomous Vehicles," 2023, Applied Sciences
  • "Automated location of steel truss bridge damage using machine learning and raw strain sensor data," 2022, Automation in Construction
  • "On the use of mechanics-informed models to structural engineering systems: Application of graph neural networks for structural analysis," 2023, Structures
  • "A new concept for large additive manufacturing in construction: tower crane-based 3D printing controlled by deep reinforcement learning," 2023, Construction Innovation

The scientist frequently collaborates with other researchers, with a significant number of joint publications alongside Enrique Herrera-Viedma, Róbert Kozma, Karen Panetta, Giancarlo Fortino, and David Mendonça.

Their publication record features contributions in a range of prestigious venues, including:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Automation Science and Engineering
  • IFAC-PapersOnLine
  • Zenodo (CERN European Organization for Nuclear Research)

The scope and variety of research outputs reflect engagement with both theoretical and applied aspects of engineering. The scientist's work addresses emerging technologies such as digital twins, machine learning applications in civil infrastructure, and advanced manufacturing controlled by reinforcement learning methods.

Best Publications

  • Deadlock control methods in automated manufacturing systems

    M.P. Fanti;MengChu Zhou

  • Event-based feedback control for deadlock avoidance in flexible production systems

    M.P. Fanti;B. Maione;S. Mascolo;A. Turchiano

  • Brief paper: On-line fault detection in discrete event systems by Petri nets and integer linear programming

    Mariagrazia Dotoli;Maria Pia Fanti;Agostino Marcello Mangini;Walter Ukovich

  • A signal timing plan formulation for urban traffic control

    Mariagrazia Dotoli;Maria Pia Fanti;Carlo Meloni

  • Prediction of home energy consumption based on gradient boosting regression tree

    Peng Nie;Michele Roccotelli;Maria Pia Fanti;Zhengfeng Ming

  • A model for supply management of agile manufacturing supply chains

    Nicola Costantino;Mariagrazia Dotoli;Marco Falagario;Maria Pia Fanti

  • Design and optimization of integrated E-supply chain for agile and environmentally conscious manufacturing

    M. Dotoli;M.P. Fanti;C. Meloni;MengChu Zhou

  • Deadlock Resolution in Computer-Integrated Systems

    MengChu Zhou;Maria Pia Fanti

  • An urban traffic network model via coloured timed Petri nets

    Mariagrazia Dotoli;Maria Pia Fanti

  • IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

    Bruno Siciliano;John Hollerbach;Ian D. Walker;Alex Zelinsky

  • Event-based controller to avoid deadlock and collisions in zone-control AGVS

    Maria Pia Fanti

  • A multi-level approach for network design of integrated supply chains

    M. Dotoli;M. P. Fanti;C. Meloni;M. C. Zhou

  • Decentralized Diagnosis by Petri Nets and Integer Linear Programming

    Xuya Cong;Maria Pia Fanti;Agostino Marcello Mangini;Zhiwu Li

  • Real time identification of discrete event systems using Petri nets

    Mariagrazia Dotoli;Maria Pia Fanti;Agostino Marcello Mangini

  • Comparing digraph and Petri net approaches to deadlock avoidance in FMS

    M.P. Fanti;B. Maione;B. Turchiano

  • Monitor design for colored Petri nets: An application to deadlock prevention in railway networks

    Maria Pia Fanti;A. Giua;C. Seatzu

  • Controllability of multi-input positive discrete-time systems

    M. P. Fanti;B. Maione;B. Turchiano

  • A First-Order Hybrid Petri Net Model for Supply Chain Management

    M. Dotoli;M.P. Fanti;G. Iacobellis;A.M. Mangini

  • A simulation based Decision Support System for logistics management

    Maria Pia Fanti;Giorgio Iacobellis;Walter Ukovich;Valentina Boschian

  • The impact of ICT on intermodal transportation systems: A modelling approach by Petri nets

    Mariagrazia Dotoli;Maria P. Fanti;Agostino M. Mangini;Gabriella Stecco

  • A Metamodeling Approach to the Management of Intermodal Transportation Networks

    V. Boschian;M. Dotoli;M. P. Fanti;G. Iacobellis

Frequent Co-Authors

Walter Ukovich
Walter Ukovich University of Trieste
Mariagrazia Dotoli
Mariagrazia Dotoli Polytechnic University of Bari
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Zhiwu Li
Zhiwu Li Macau University of Science and Technology
Carla Seatzu
Carla Seatzu University of Cagliari
Chrysostomos D. Stylios
Chrysostomos D. Stylios University of Ioannina
Alessandro Giua
Alessandro Giua University of Cagliari
Saverio Mascolo
Saverio Mascolo Polytechnic University of Bari
Rafael Fierro
Rafael Fierro University of New Mexico
David Naso
David Naso Polytechnic University of Bari

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

Studying Computer Science in the USA opens doors to a wide range of online degree opportunities tailored to your academic background and career goals. Many students begin with an online associate degree to build fundamental skills, which can serve as a stepping stone into the industry or further studies.

For those aiming to advance their expertise, there are numerous masters degrees that are worth it, particularly in high-demand specializations like data science or cybersecurity. These programs are designed to boost your credentials and expand career prospects.

Affordability is a top concern for many students, but you can find affordable online degree programs that don’t compromise on quality. Additionally, individuals worried about past academic performance can still pursue their goals by exploring online graduate programs that accept 2.0 gpa.

By taking advantage of these flexible learning pathways, you can build a solid foundation or advance your tech career while balancing other life commitments.

Best Scientists Citing Maria Pia Fanti

Trending Scientists