Advisory Board and Editors Artificial Intelligence
Grady Booch
Grady is recognized for his innovative work in software engineering. Grady is an IBM Fellow and has also been given the honor of Fellow for the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers. He has been awarded the Lovelace Medal and has given the Turing Lecture on behalf of the British Computer Society. Author of six best-selling books, Grady has published hundreds of technical articles and has lectured extensively around the world.
Tossapon Boongoen
Dr Tossapon Boongoen obtained his PhD in Computer Science from Cranfield University, UK (in 2003), and his 2-year PostDoc in Aberystwyth University, UK (2007-08). His research interest includes AI, machine/deep learning, image analysis and pattern recognition, fuzzy systems and security. He serves as an Associate Editor for several international journals like IEEE Access.
Andrea Brunello
I am an Assistant Professor (tenure-track) at the Department of Humanities and Cultural Heritage (DIUM) of the University of Udine. In addition, I am part of the Data Science and Automatic Verification Laboratory, at the Department of Mathematics, Computer Science and Physics (DMIF) at the same University. As a figure straddling the two departments, I am part of the board of directors of the AI4CH Initiative, and I am interested in both practical aspects of Artificial Intelligence and philosophical issues. I am and have been a core member of several national and international projects with both institutional and corporate partners, such as u-blox, SAL Silicon Austria Labs, GAP srlu, and beanTech.
Alberto Cano
Alberto Cano is an Associate Professor with the Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States, where he heads the High-Performance Data Mining laboratory. His research is focused on machine learning, data mining, big data, evolutionary computation, general-purpose computing on graphics processing units, and distributed computing.
Jyotismita Chaki
Jyotismita Chaki, PhD. is an Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology (VIT University), Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Artificial Intelligence and Machine learning. She has authored and edited many international conferences, journal papers and books. Currently she is the editor of Engineering Applications of Artificial Intelligence Journal, Elsevier, academic editor of PLOS ONE journal and associate editor of Array journal, Elsevier, IET Image Processing and Machine Learning with Applications journal, Elsevier.
Ran Cheng
Dr. Ran Cheng is currently an Assistant Professor with the Department of Computer Science and Engineering, Southern University of Science and Technology, China. Previously, he was a Research Fellow (2016-2018) with the School of Computer Science, University of Birmingham, U.K. He received the PhD degree in computer science from the University of Surrey, U.K His main research interest is Artificial / Computational Intelligence based learning, modeling and optimization. He serves as an Associated Editor for IEEE Transactions on Artificial Intelligence (2020-) and IEEE Access (2018-), and an Editorial Board Member for Applied Soft Computing (2018-) and Complex & Intelligent Systems (2017-). He is the recipient of the IEEE Transactions on Evolutionary Computation Outstanding Paper Award (2018), the IEEE CIS Outstanding PhD Dissertation Award (2019), the IEEE Computational Intelligence Magazine Outstanding Paper Award (2020), and the IEEE Transactions on Evolutionary Computation Outstanding Paper Award (2021).
Aswani Kumar Cherukuri
Dr. Aswani Kumar Cherukuri is a Professor at Vellore Institute of Technology (VIT), India. His research interests include information security and machine learning. Aswani Kumar earned the Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and was awarded the Inspiring Teacher Award from The Indian Express (India’s leading English daily newspaper). He has worked on various research projects funded by the Government of India’s Department of Science and Technology, the Department of Atomic Energy, and the Ministry of Human Resources Development. Aswani Kumar has published more than 150 refereed research articles in various national/international journals and conferences and is an editorial board member for several international journals. He is a Senior Member and distinguished speaker of the Association for Computing Machinery (ACM), a member of the Institute of Electrical and Electronics Engineers (IEEE), and Vice-Chair of the IEEE Taskforce on Educational Data Mining. Aswani Kumar earned a PhD in informational retrieval, data mining, and soft-computing techniques from VIT.
Davide Chicco
Davide Chicco is a scientific researcher at the University of Toronto. He received his PhD. from Politecnico di Milano in 2014, and his MSc. in Computer Science from the University of Genoa, Italy in 2010. From September 2018 to January 2020 he was a researcher at the University Health Network (Toronto, Ontario, Canada). Davide Chicco's research centres on biomedical informatics and machine learning.
Vincent A Cicirello
Dr. Vincent A. Cicirello is a Professor and Chair of Computer Science at Stockton University. He is also among the founding faculty of Stockton University's interdisciplinary Behavioral Neuroscience program. Dr. Cicirello earned his Ph.D. in Robotics from Carnegie Mellon University in 2003, and his M.S./B.S. in Computer Science and B.S. in Mathematics from Drexel University in 1999. His research interests include artificial intelligence, evolutionary computation, algorithms, machine learning, and computational intelligence. Dr. Cicirello is an ACM Senior Member, IEEE Senior Member, AAAI Life Member, and a member of SIAM.
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 (tenure-track) at the Department of Mathematics, Informatics, and Geosciences of the University of Trieste (Italy). She is an IEEE Senior member and a 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 electroencephalographic (EEG) 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.