Advisory Board and Editors Artificial Intelligence
Mehmet Cunkas
Dr. Mehmet Cunkas is a Professor in the Department of Electrical and Electronics Engineering at Selçuk University. Prior to his academic appointment, he worked as an electrical field engineer and customer manager at Electricity Distribution Inc. He has authored numerous publications in international peer-reviewed journals and conference proceedings. Dr. Cunkas also serves as a section editor and editorial board member for several SCI-indexed journals and contributes as a scientific committee member at international conferences. His research interests include electric machines, artificial intelligence, optimization theory and computing, load forecasting, and renewable energy systems.
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.
Luigi Di Biasi
Luigi Di Biasi is a Researcher in the Department of Computer Science at the University of Salerno.
Since 2023, he has been a Deferred Tenured Teacher for the A041 STEM class at ITT Maria Curie – Naples (NATF190001).
He earned his Bachelor’s degree in Computer Science from the University of Salerno in 2010 and his Master’s degree in Computer Science in 2014. In 2023, he completed his PhD in Computer Science at the same university.
Starting from the 2023/24 academic year, he has been a lecturer and co-instructor for courses on Databases, Statistics, and Data Analysis.
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.
Ahmed Elazab
Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent systems from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 80 peer-reviewed papers and has been a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.
Charles P. Elkan
Professor of computer science at the University of California, San Diego, and also Amazon Fellow.
Carlos Fernandez-Lozano
Dr. Carlos Fernandez-Lozano is an Associate Professor at the University of A Coruña (UDC). He is a biomedical data scientist with a deep interest in discovering the complex relationships between different biological levels. His research track is multidisciplinary as he is trained in computer science, machine learning, bioinformatics, and biostatistics. His research line is focused on how biological interactions are manifested at the disease level through the use, development, and application of kernel-based computational approaches that integrate different levels of biological data on the microorganism, gene, protein, and medical imaging axis.
Simone Fontana
Prof. Simone Fontana is an assistant professor at Università degli Studi di Milano - Bicocca.
His main research activity is in the field of 3D robot perception, with special attention to point clouds registration, a problem for which he has developed a benchmark. More recently, Dr. Fontana's research has focused on the use of informatics techniques for neuropsicology and neuroscience.
He is a co-investigator of the DriveWin project, which aims to investigate the effects of different types of non-invasive neurostimulation on attention while driving. Attention was assessed on a driving simulator and two age groups were compared.
Prof. Fontana is also a lecturer at the School of Law and at the Advanced Specialization School in Neuropsychology.