Advisory Board and Editors Artificial Intelligence
Marta Cimitile
Marta Cimitile received her degree with full marks and honors in Ingegneria Gestionale in 11/12/2003 from the Facoltà degli Studi di Napoli “Federico II”, presenting a thesis in “Enterprise management: organizational and technical problems related to implementation of a CRM”.
She has also received her PhD in software engineering at the Department of Informatics in the University of Bari, presenting a thesis in: “Knowledge Economy in Software Engineering”.
Currently she is an Assistant Professor of Computer Science at the Faculty of Economics of the Unitelma Sapienza in Rome (Italy). Her main research is in the study and evolution of Process Mining, Process and Knowledge Management and Knowledge transfer in Open Innovation.
She was involved in several industrial projects for the realization of an Experience Factory for the knowledge storing and reuse and she made several teaching and training activities in the context of these research projects . She is also partner of the SER&Practices spin off company of the University of Bari.
Stefano Cirillo
Stefano Cirillo is an Assistant Professor at the Department of Computer Science of the University of Salerno, Italy.
His research interests include Data Profiling, Data Mining, Artificial Intelligence, Data Privacy, and Social Networks, in which he has published several articles in international journals, books, and conference proceedings.
He graduated in Computer Science (cum laude) in 2018, at the Department of Computer Science of the University of Salerno. In 2022 he received the Ph.D. in Computer Science at the University of Salerno, with a Ph.D. course funded by the Programma Operativo Nazionale (PON) 2014-2020.
In 2018 he worked at the Centro Regionale Information Communication Technology (CeRICT) scrl based in Benevento, Italy, for designing, implementing, and developing an intelligent search engine for call-for-tenders in the e-procurement domain. In 2019 he was a visiting researcher at the Datonix SpA in Naples (NA), aimed at the design and development of algorithms for the extraction of profiling metadata from relational and non-relational databases. In 2020 he spent a research period at the Information Systems group of the Hasso Plattner Institute (HPI) affiliated with the University of Potsdam, Germany.
From 2022 to 2023 he was a Research Fellow at the University of Salerno for the research activity within the project "Profiling Data Streams for Anomaly Detection And Online Learning".
In 2022 he was an adjunct professor for the course of Databases, II year, for the Degree course in Computer Science at the Department of Computer Science of the University of Salerno.
Since 2023 he is an Assistant Professor at the University of Salerno for the project "Security and Rights in the CyberSpace (SERICS)".
He was Program Co-Chair of the International DMS Conference on Visualization and Visual Languages (2021) and Conference Co-Chair of the International DMS Conference on Visualization and Visual Languages (2022).
He is the Local Arrangements Chair of the international EDBT/ICDT 2024 Joint Conference and is a member of the program committee of several national and international conferences, including the International Conference On Computer, Software And Modeling (ICCSM), International Conference on Computing Science, Communication and Security (COMS2), International Conference on Big Data Computing Service and Machine (BIGDATASERVICE), International Conference on Advanced Information Science and System (AISS), International Conference on Applications and Systems of Visual Paradigms (VISUAL), International Conference on Networks, Communications and Information Technology (CNCIT), and International Conference on Big Data and Artificial Intelligence (ICBDAI).
He is an Associate Editor of the Journal Multimedia Tools and Applications (Springer) and of the Journal of Visual Language and Computing (JVLC). He is an Editorial Board Member of several international journals, including journal Data Science and Management (DSM), International Journal of Computer Science and Management, and Research Reports on Computer Science (RRCS). He was Lead Guest Editor for the Special Issue "Sentient Multimedia Systems and Universal Visual Languages" [1225] on Multimedia Tools and Applications (Springer) and Guest Editor of several Special Issues published in international journals.
He is a reviewer of several international journals, including Intelligent Systems (IEEE), Expert Systems with Applications (Elsevier), Information and Processing Management (Elsevier), Journal of Data and Information Quality (ACM), and Neural Computing and Applications (Elsevier).
Giulia Cisotto
Giulia Cisotto is an Assistant Professor at the Department of Computer Science of the University of Milan-Bicocca (Milan, Italy) funded by the Italian Ministry of University and Research (PON "Innovation and Green" 2014-2020 action IV.6). She is member of the Modeling Uncertainty, Decisions and Interaction (MUDI) Lab, IEEE Senior member and GRIN member. Her research activity is mainly focused on the processing and modeling of complex systems via machine learning and deep learning techniques, with particular expertise in multi-dimensional time-series. She has always been collaborating with several companies and research hospitals to promote the impact of academic research into the Society. She is also active in the dissemination of science (as a member of the Association "La Via delle Scienze", Italy) and in the promotion of innovative teaching of science in the Academia.
Paulo Jorge Coelho
Paulo Coelho graduated in Electrical Engineering in 2004 from Coimbra University, obtained his Specialization Course in Automation and Control in 2007 by Coimbra University, and a Ph.D. in Informatics in 2019 by Trás-Os-Montes and Alto Douro University.
He is an Adjunct Professor at the Electrical Engineering Department at the School of Technology and Management of the Polytechnic University of Leiria, where he has mainly lectured Curricular Units in the areas of Microprocessors, Industrial Automation and Computer Vision since 2004.
Paulo Coelho is currently a Member of the Scientific-Pedagogical Committee for the Master's in Electrical and Electronic Engineering at Polytechnic of Leiria, and he was previously the course director. He is currently an integrated researcher at ROBiTECH (Advanced Robotics and Smart Factories) group, in the INESC Coimbra (delegation in Leiria). He is also a member of the Portuguese Engineers Order.
His research interests are focused on industrial automation, computer vision, biomedical imaging analysis, and the application of machine learning and deep learning in their research areas.
Fabio Cumbo
Fabio Cumbo is a Postdoctoral Researcher at the Center for Computational Life Sciences of the Cleveland Clinic's Lerner Research Institute in Cleveland, OH.
He received his Ph.D. in Computer Science and Automation Engineering from the University of Roma Tre in 2019, and his BSc. and MSc. in Software Engineering from the same University in 2012 and 2014 respectively. From November 2018 to December 2021 he was a Postdoctoral Researcher at the Department of Cellular, Computational and Integrative Biology (CIBIO) of the University of Trento, Italy. Fabio
Cumbo's research mainly focuses on Bioinformatics, Metagenomics, Machine Learning, and Hyperdimensional Computing.
Mehmet Cunkas
Dr. Cunkas is a Professor in the Department of Electrical and Electronics Engineering at Selcuk University. Before joining Selcuk University, he served as an electrical field engineer and customer manager at Electricity Distribution Inc. He has authored numerous research publications in international journals and conference proceedings. Additionally, he holds membership on the editorial boards of SCI-indexed journals and serves as a scientific board member at conferences. Dr. Cunkas' research interests include electric machinery, artificial intelligence, optimization theory and computing, load forecasting, and renewable energy.
María José Del Jesus
She received the M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Spain, in 1994 and 1999, respectively.
She is an Associate Professor with the Department of Computer Science, University of Jaén, Spain.
Her current research interests include evolutionary fuzzy systems, subgroup discovery, data preparation, neural networks, knowledge extraction based on evolutionary algorithms, and data science.
Director of the Intelligent Systems and Data Mining Research Group.
Giorgio Delzanno
Prof. Giorgio Delzanno graduated in Computer Science in 1992. He defended his PhD thesis in Computer Science in 1998 (Doctorate program in the Genoa, Udine and Pisa consortium) and was Post-Doc at the Max Planck Institut in Saarbruecken until the end of 1999. He got a position In 2005 Associate Professor at the University of Genoa. He is Full Professor at the University of Genoa since 2018.
Prof. Delzanno is currently the Coordinator of the PhD in Computer and Systems Engineering at the University of Genoa. Since 2012 he has been a member of the Orientation Commission of the Computer Science Degree Program and deputy coordinator of the Master's Degree in Computer Science.
The research activity was mainly carried out in the following areas: AI and Computational Logic: Logic Programming, Constraints, Multiagent Systems; Formal Methods: Model Checking, Abstract Interpretation, Parameterized Verification; Concurrent and Distributed Systems, Ubiquitous and Pervasive Computing, Internet of Things; Computer Science Education: Computational Thinking and Coding.
He has participated in numerous program and organized committees
conferences, workshops and doctoral schools. Recently he was co-chair of the APCSE 2020 workshops of UMAP 2020 and HCVS of ETAPS 2020.
He is co-founder of Druidlab, a joint laboratory with the FOS Group of Genoa, and a member of GRIN, of the INSTM, of the CINI laboratory on Smart Cities and of the Indam GNCS group.
Louise A Dennis
Louise Dennis is a Reader at the University of Manchester.
Her background is in artificial intelligence and more specifically in agent and autonomous systems and automated reasoning. She has worked on the development of several automated reasoning and theorem proving tools, most notably the Agent JPF model checker for BDI agent languages; the lambda-clam proof planning system (also archived at the Theorem Prover Museum); and the PROSPER Toolkit for integrating an interactive theorem prover (HOL) with automated reasoning tools (such as SAT solvers) and Case/CAD tools. More recently she has investigated rational agent programming languages and architectures for autonomous systems, with a particular emphasis on verifiable systems and ethical reasoning.
Antonio Jesus Diaz-Honrubia
Antonio J. Díaz-Honrubia is an Associate Professor at Universidad Politécnica de Madrid, to which he joined after holding an Assistant Professorship at Universidad de Oviedo and a part time Professorship at Universidad de Castilla-La Mancha (a job that he combined with a position in the R&D department of a private company in the telecommunications field).
He received his Ph.D. in 2016 from the Universidad de Castilla-La Mancha, where he had also received his B.Sc. (Spanish National Extraordinary Award) and M.Sc. in Computer Science and Engineering.
His research interests include video transcoding, perceptual video coding, multimedia standards, scalable video coding, and simultaneous video coding. More recently, he is moving forward to the topic of data analysis and validation.
He has been a visiting researcher at Ghent University (Belgium) for 4 months, the Florida Atlantic University (USA) for 3 months, and the Technische Informationsbibliothek (TIB) (Germany) for 6 months.
He has more than 30 publications in these areas in international refereed journals and conference proceedings.
Trang Do
Dr. Trang Do earned her PhD degree from the National University of Singapore in 2013. She is a proactive and motivated educator and data scientist, showcasing a track record of effectively managing expansive and intricate projects alongside engagements with stakeholders and government agencies. Her expertise spans data and computer science, coupled with a foundation in economics and bioinformatics, driving an ongoing pursuit of professional development. Her research interests encompass a wide scope within data science, intelligent systems, and interdisciplinary computing. Presently, her primary focus centers on machine learning, deep learning, explainable AI, data analysis, and visualization, particularly within the realms of health informatics, drug discovery, bioinformatics, tourism, and intelligent systems.
Juan Pedro Dominguez-Morales
Prof. Juan Pedro Dominguez-Morales was born in Sevilla (Sevilla, Spain) in 1992. He received the B.S. degree in computer engineering, the M.S. degree in computer engineering and networks, and the Ph.D. degree in computer engineering (specializing in neuromorphic audio processing and spiking neural networks) from the University of Seville, in 2014, 2015 and 2018, respectively. His Ph.D. was granted with a research grant from the Spanish Ministry of Education and Science. Since January 2019, he has been working as Assistant Professor in the same university. He is member of the Robotics and Technology of Computers Lab since 2015. His research interests include neuromorphic engineering, spiking neural networks, audio processing and deep learning. He has been an IEEE member for four years.