Assistant Professors

Ferdinando Di Martino is an Assistant Professor of Computer Science at Department of Architecture of University of Napoli Federico II. His main interests of research concern applications of fuzzy set theory, fuzzy equations, fuzzy functions and related transforms applied to various topics as , data mining and data clustering , spatial data mining, forecasting, image processing, Type-2 fuzzy systems, intelligent systems. He is associate editor of the international journal Soft Computing and is in the editorial board of the international journal Advances in Fuzzy Systems. He has published over one hundred papers on the above topics and was guest editor of numerous special issues of well-known international journals in soft computing. He is a scientific member of the EUropean Society for Fuzzy Logic And Technology (EUSFLAT) Image Processing group on soft computing in image processing.

Mariacarla Staffa is a Assistant Professor of the Department of Physics of the University of Naples Federico II, Italy. She received the M.Sc. degree in Computer Science from the University of Naples Federico II with honors, in 2008. She got a Ph.D. in Computer Science and Automation Engineering from the University of Napoli in 2011. She is member of the PRISMA (Projects of industrial and service robotics, mechatronics and automation) and of the PRISCA (Projects of intelligent robotics and advanced cognitive systems) Laboratories, making research in the fields of Cognitive Robotics, Artificial Intelligence and Human-Robot Interaction. She is also member of the QUASAR (Quantum Computing and Smart System) Laboratory, where she collaborates with experts of machine learning and signal processing. She is in the Editorial Board of Robotics and Automation Engineering Journal and acts as referee of many international journals (International Journal of Social Robotics, Smart Science Journal among others). She is mainly interested in exploring computational neuroscience and cognitive robotics to generate innovative strategies and solutions for scientific problems and technological limitations. Her work mainly focuses on supervisory attentional system for executive monitoring and behaviours scheduling, automatic learning techniques based on reinforcement-learning, differential evolution strategies, artificial neural networks and genetic algorithms, multi-robot coordination systems, multimodal human-robot interaction, gesture interpretation, interpretation of Humans’ intentions and emotional states. She is IEEE member and in particular she is part of the IEEE RAS Technical Committee for Cognitive Robotics. She has been involved in several EU Projects, including Projects dealing with Health Data managing (eHealthNet: Ecosistema software per la Sanità Elettronica (Cod .: PON03PE_00128_1)) and secure health data storage and exchange (KONDIFO - “Secure and Trusted Paradigm for Interoperable eHealth Services†Project (Call: H2020-DS-3-2016 (Increasing digital security of health related data on a systemic level). Project funded with grant agreement number 727528)

Autilia Vitiello is a Assistant Professor of the Department of Physics of the University of Naples Federico II, Italy. o II. She took the master degree cum laude in Computer Science at the University of Salerno in July 2009, defending a thesis in Time Sensitive Fuzzy Agents: formal model and implementation. She got Ph.D. in Computer Science at the same university on April 15th, 2013, defending a thesis titled Memetic Algorithms for Ontology Alignment. She is chairing the IEEE CIS Standards Committee and the Task Force named Datasets for Computational Intelligence Applications. She is part of the IEEE Standard Association 1855 Working Group for Fuzzy Markup Language Standardization where she also serves as Secretary. Moreover, she is part of the IEEE Technical Committee on Fuzzy systems. She is member of the Editorial Board of two international journals (Hindawi Scientific Programming and Springer Quantum Machine Intelligence) and referee for many other journals. Her main research area is Computational Intelligence, and in particular, Fuzzy Logic and Evolutionary Algorithms. Her recent interests include the integration between Computational Intelligence and Computer Vision to address Bloodstain Pattern Analysis, the integration between Evolutionary Algorithms and Machine Learning techniques to tackle Big Data Challenges and the emerging area of Quantum Machine Intelligence.