Giovanni Acampora


Giovanni Acampora

University of Naples Federico II,

Curriculum Vitae

Prof. Giovanni Acampora (male) is Associate Professor in Artificial Intelligence at the University of Naples Federico II. Previously, he was Reader in Computational Intelligence (Sept 2012 - Jun 2016) at the School of Science and Technology, Nottingham Trent University, Nottingham, U.K. From July 2011 to August 2012, he was in a Hoofddocent Tenure Track in Process Intelligence with the School of Industrial Engineering, Information Systems, Eindhoven University of Technology, Eindhoven, the Netherlands.

His main research interests include computational intelligence, fuzzy modeling, evolutionary computation, and ambient intelligence. Currently, he is investigating about the design and development of artificial and computational intelligence techniques by means of quantum technologies. In these topics, he has been invited to hold about ten talks in foreign universities and during international conferences.

Prof. Acampora designed and developed the Fuzzy Markup Language (FML), an XML-based language for modeling fuzzy systems in human-readable and hardware independent way. In 2016, he led an IEEE working group towards the standardization of FML. Today, the IEEE standard for FML is named IEEE 1855. As a result of this activity, he got a prestigious IEEE-SA Emerging Technology Award.

Prof. Acampora was a Secretary and Treasurer of the IEEE Computational Intelligence Society (IEEE CIS) Italian Chapter (2010–2012). He chaired the IEEE CIS Standards Committee (2011–2013, 2016-2017). He is the Chair of IEEE-SA 1855WG, the working group that has published the IEEE Standard 1855 (on May 2016), the first IEEE standard in the area of fuzzy logic.

He serves as an Editor in Chief of Springer Quantum Machine Intelligence, Associate Editor of Springer Soft Computing, Inderscience International Journal of Autonomous and Adaptive Communication Systems, and IEEE Transactions on Fuzzy Systems. Moreover, he organized two special issues in two Springer Journals.

In 2017, he acted as General Chair of IEEE International Conference on Fuzzy Systems, the top leading conference in the area of fuzzy logic. Moreover, he organized about several special sessions and workshops in international conferences.

He is member of the scientific board of the Interdepartmental Center for Advanced RObotics in Surgery (ICAROS). He is Senior Member of IEEE. He is qualified to act as Full Professor at Italian universities in the following scientific areas: 01/B1 – INFORMATICA.

In 2019, Prof. Acampora has been rewarded with a prestigious Canada-Italy Innovation Award, a grant allowing five Italian top researchers to visiting Canadian institutions and establishing new research relationships in hot areas. Prof. Acampora has been awarded in the field of Emergent Technologies with a project named “Quantum Machine Learning”.



  • July 2003: Master of Computer Science, University of Salerno, Italy.
  • April 2007: PhD in Computer Science, University of Salerno, Italy.

Awards and Honors

  • 2019 Canada-Italy Innovation Award for Emergent Technologies (August 2019)
  • IEEE-SA Emerging Technology Award “for outstanding contribution and leadership as Chair of the IEEE P1855 Working Group in initiating and facilitating the creation of the first IEEE standard in the area of fuzzy logic.” (December 2016)
  • IEEE-SA Working Group Chair Award for IEEE 1855. (September 2016)
  • IEEE-SA Certificate of Appreciation for IEEE 1855. (September 2016)
  • Best paper at UK Workshop on Computational Intelligence 2012: G. Acampora, U. Kaymak, V. Loia, A. Vitiello, “Hybridizing Genetic Algorithms and Hill Climbing for Similarity Aggregation in Ontology Matching.” (September 2012)
  • Fuzzy Competition Award. Best paper at Fuzzy Competition, FUZZ-IEEE 2011: G. Acampora, “A TSK Neuro-Fuzzy Approach for modeling Highly Dynamic Systems.” (June 2011)