World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7169
World Ranking
11090
National Ranking
353

Overview

Paola Mello is affiliated with the University of Bologna in Italy. Their research primarily spans the fields of computer science and business, management, and accounting, with a focused interest in artificial intelligence and management information systems.

The main areas of study for this scientist include:

  • Artificial Intelligence
  • Management Information Systems
  • Information Systems
  • Computer Networks and Communications
  • Control and Systems Engineering

Paola Mello's research topics cover a range of subjects intertwined with business and technology. These include:

  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Logic, Reasoning, and Knowledge
  • Multi-Agent Systems and Negotiation
  • Bayesian Modeling and Causal Inference
  • Constraint Satisfaction and Optimization

Recently published papers by Paola Mello include:

  • "Declarative and Mathematical Programming approaches to Decision Support Systems for food recycling," 2020, published in Engineering Applications of Artificial Intelligence
  • "Process Discovery on Deviant Traces and Other Stranger Things," 2022, published in IEEE Transactions on Knowledge and Data Engineering
  • "A Prolog application for reasoning on maths puzzles with diagrams," 2022, published in Journal of Experimental & Theoretical Artificial Intelligence
  • "Artificial intelligence and cognitive psychology: How to solve mathematical problems," 2020, published in Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • "Process discovery on deviant traces and other stranger things," 2021, published in arXiv (Cornell University)

Frequent co-authors collaborating with Paola Mello are:

  • Federico Chesani
  • Daniela Loreti
  • Chiara Di Francescomarino
  • Chiara Ghidini
  • Fabrizio Maria Maggi

Paola Mello's publications appear across a variety of scholarly venues, including:

  • Engineering Applications of Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Journal of Experimental & Theoretical Artificial Intelligence
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
  • arXiv (Cornell University)

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • Image analysis and rule-based reasoning for a traffic monitoring system

    R. Cucchiara;M. Piccardi;P. Mello

  • Image analysis and rule-based reasoning for a traffic monitoring system

    R. Cucchiara;M. Piccardi;P. Mello

  • Declarative specification and verification of service choreographiess

    Marco Montali;Maja Pesic;Wil M. P. van der Aalst;Federico Chesani

  • Verifiable agent interaction in abductive logic programming: The SCIFF framework

    Marco Alberti;Federico Chesani;Marco Gavanelli;Evelina Lamma

  • Modularity in Logic Programming

    Michele Bugliesi;Evelina Lamma;Paola Mello

  • Monitoring business constraints with the event calculus

    Marco Montali;Fabrizio M. Maggi;Federico Chesani;Paola Mello

  • COMPLIANCE VERIFICATION OF AGENT INTERACTION: A LOGIC-BASED SOFTWARE TOOL

    Marco Alberti;Marco Gavanelli;Evelina Lamma;Federico Chesani

  • Exploiting Inductive Logic Programming Techniques for Declarative Process Mining

    Federico Chesani;Evelina Lamma;Paola Mello;Marco Montali

  • Specification and verification of agent interaction protocols in a logic-based system

    Marco Alberti;Davide Daolio;Paolo Torroni;Marco Gavanelli

  • Representing and monitoring social commitments using the event calculus

    Federico Chesani;Paola Mello;Marco Montali;Paolo Torroni

  • HABITAT: An IoT Solution for Independent Elderly

    Elena Borelli;Giacomo Paolini;Francesco Antoniazzi;Marina Barbiroli

  • Expressing and Verifying Business Contracts with Abductive Logic Programming

    Marco Alberti;Federico Chesani;Marco Gavanelli;Evelina Lamma

  • Applying inductive logic programming to process mining

    Evelina Lamma;Paola Mello;Fabrizio Riguzzi;Sergio Storari

  • Inducing declarative logic-based models from labeled traces

    Evelina Lamma;Paola Mello;Marco Montali;Fabrizio Riguzzi

  • Integrating constraint logic programming and operations research techniques for the crew rostering problem

    A. Caprara;F. Focacci;E. Lamma;P. Mello

  • Constraint Propagation and Value Acquisition: Why we should do it Interactively

    Evelina Lamma;Paola Mello;Michela Milano;Rita Cucchiara

  • Commitment tracking via the reactive event calculus

    Federico Chesani;Paola Mello;Marco Montali;Paolo Torroni

  • Towards data-aware constraints in declare

    Marco Montali;Federico Chesani;Paola Mello;Fabrizio M. Maggi

  • Specification and Verification of Agent Interaction using Social Integrity Constraints

    Marco Alberti;Marco Gavanelli;Evelina Lamma;Paola Mello

  • A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information

    Davide Sottara;Paola Mello;Mark Proctor

Frequent Co-Authors

Marco Montali
Marco Montali Free University of Bozen-Bolzano
Paolo Torroni
Paolo Torroni University of Bologna
Michela Milano
Michela Milano University of Bologna
Rita Cucchiara
Rita Cucchiara University of Modena and Reggio Emilia
Massimo Piccardi
Massimo Piccardi University of Technology Sydney
Fabrizio Maria Maggi
Fabrizio Maria Maggi Free University of Bozen-Bolzano
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Stefania Montani
Stefania Montani University of Eastern Piedmont Amadeo Avogadro
Alessandra Costanzo
Alessandra Costanzo University of Bologna
Nicola Zannone
Nicola Zannone Eindhoven University of Technology

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

With the rise of remote learning, students can now access a wide range of programs in computer science and related fields through online education. For those just starting out, associates degrees online offer a flexible, affordable option to build foundational skills or launch a technical career.

Budget is often a key concern. Many cheap online colleges provide quality programs in computer science and other STEM areas, making education accessible without a heavy financial burden.

Academic history doesn’t have to be a barrier either. Students with lower GPAs can find opportunities at online colleges that accept 2.0 gpa, helping them continue their education and take important steps toward a technical career.

Additionally, computer science intersects with other disciplines, creating diverse pathways. For instance, expertise in technology can complement degrees such as an environmental science degree, enabling graduates to address critical issues like sustainability and climate change through innovative tech solutions.

Best Scientists Citing Paola Mello

Trending Scientists