Advisory Board and Editors Data Science
Daniele D'Agostino
Daniele D'Agostino, Ph.D., is associate professor at the University of Genoa (DIBRIS), Italy. His research interests are in the field of high performance computing and e-Science. In particular he cooperates with scientists of the astrophisics, physics, bioinformatics and earth science domains. In 2014 he was a co-chair of the 22nd Euromicro International Conference on Parallel, Distributed and network based Processing. He co-authored more than 100 papers on international journals, books and conference proceedings. He acted also as co-guest editor of several special issues.
Anwitaman Datta
Anwitaman did his Phd from EPFL Switzerland. Currently, he works in the School of Computer Science and Engineering at NTU Singapore.
David De Roure
David De Roure is Professor of e-Research at University of Oxford and Director of the Oxford e-Research Centre. He is a Strategic Advisor to the Economic and Social Research Council in the area of Social Media Data. Working on the intersection of humanities, social science, and computer science, David conducts research on social machines, computational musicology, large scale sociotechnical systems, cyber security and social computing.
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.
Marc-André Delsuc
Marc-André Delsuc activity is mostly oriented toward the use and improvement of spectroscopies, in particular NMR and more recently FT-MS. This includes new experiment design, development of data processing methods, development of software programs. I have been deeply involved in field as diverse as protein structural analysis, protein-ligand screening, complex mixture analysis, quantum mechanic details of the NMR phenomenon, automatic data analysis, fractal dimension of proteins and polymers, etc.
Peter Denning
Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.
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.
Gillian Dobbie
Gill worked in industry for a couple of years before doing research at the University of Melbourne, Victoria University of Wellington and the National University of Singapore. Her main areas of interest pertain to databases and the web. She has worked in the foundations of database systems, defining logical models for various kinds of database systems, and reasoning about the correctness of algorithms in that setting. She publishes her research in high ranking conferences and journals.
Timothy P Driscoll
Associate Professor at West Virginia University Department of Biology. PhD in Genomics, Bioinformatics, and Computational Biology from Virginia Tech. Our research centers on the distribution, evolution, and design of interventions for zoonotic and vector-borne infectious diseases. I focus on Rickettsiales and other intracellular pathogens, using phylogenomics and related approaches to understand virulence and pathogenicity.
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.