Advisory Board and Editors Data Science
Una May OReilly
Principal Research Scientist, Computer Science and Artificial Intelligence Lab, MIT. Leader, AnyScale Learning for All (ALFA) group. Vice-Chair ACM SigEvo, Fellow of ISGEC, 2013 EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe
Thiago Parente
Scientist in Public Health at the Laboratory of Functional Genomics and Bioinformatics at the Oswaldo Cruz Institute (IOC, Fiocruz), Rio de Janeiro, Brazil. Scientific coordinator of the Institutional Bioinformatics Platform. CNPq Level 2 Research Productivity Scholar (Genetics). Permanent professor at the Graduate program on Systems and Computational Biology IOC, Fiocruz. Graduated in Biological Sciences - Genetics major - from the Federal University of Rio de Janeiro (2006), with a Master's degree in Cell and Molecular Biology from the IOC (2008) and PhD in Biophysics from UFRJ (2012). Through high performance technologies for DNA sequencing and computational data analysis, I investigate the effects of pollution on fauna, using fish as model organisms, and their responses and genetic adaptations to pollutants, especially those involved in the xenobiotic biotransformation system.
Mohammad Zavid Parvez
Mohammad Zavid Parvez is a scholar in computer science with over 16 years of academic and research experience spanning machine learning, biomedical signal processing, cybersecurity, and federated learning. He earned his PhD in Computer Science from Charles Sturt University, Australia, where his research focused on epileptic seizure detection and prediction using EEG signals, and has since held research positions at Charles Sturt University and the ISI Foundation (Italy). He has published extensively in leading journals, including IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Neurocomputing. He also serves as Topic Editor for Frontiers in Medicine. His current research interests include cyber threat intelligence, privacy-preserving medical data analysis, and AI-driven healthcare solutions.
Gabriella Pasi
Gabriella Pasi is Full Professor at the University of Milano Bicocca, Italy, where she leads the Information Retrieval research Lab within the Department of Informatics, Systems and Communication. Her research activity mainly addresses the definition of models and techniques for a personalized access to information (in particular related to the tasks of information Retrieval and Filtering). She is also working on the analysis of user generated content in social media.
Yonghong Peng
Dr. Peng is a Professor of Data Science at the University of Sunderland. He is a Principal Investigator in Bioinformatics and Systems Biology and Medicine, and Principal Data Scientist working on Big Data Integration, Data Mining and Computational Intelligence. Dr. Peng's Data Science and BioMedical informatics (DS & BMI) research group focuses on development of innovative data analytics approaches to enable systematical analysis of biological data, medical images, and healthcare data and to gain new knowledge and insights from the integrative analytics of diverse data sources.
Silvio Peroni
I hold a Ph.D. degree in Computer Science and I am an Associate Professor at the Department of Classical Philology and Italian Studies, University of Bologna, where I teach 'Basic Informatics' and 'Computational Thinking and Programming'.
I am an expert in document markup and semantic descriptions of bibliographic entities using OWL ontologies. I am one of the main developers of the SPAR (Semantic Publishing and Referencing) Ontologies, Co-Director of OpenCitations, and founding member of the Initiative for Open Citations (I4OC).
I am an Editorial Board member of Data Science, PeerJ Computer Science, and I am member of the Digital Humanities Advanced Research Centre (/DH.arc), part of the Advisory Board of DBLP and Qeios, Ambassador of Figshare and PeerJ, and member of the Association for Computing Machinery, of the International Society for Scientometrics and Informetrics, and of the Associazione per l’Informatica Umanistica e la Cultura Digitale.
Among my research interests are Semantic Web technologies, markup languages for complex documents, design patterns for digital documents and ontology modelling, and automatic processes of analysis and segmentation of documents. In particular, my recent works concern the empirical analysis of the nature of scholarly citations, bibliometrics and scientometrics studies, visualisation and browsing interfaces for semantic data, and the development of ontologies to manage, integrate and query bibliographic information.
Marco Piangerelli
Dr. Marco Piangerelli had his M.Sc. in Bioengineering from the University of Bologna and got his Ph.D. in Computer Science from the University of Camerino, where he is currently a Research Associate. His research interests are mainly on Unsupervised techniques for Machine Learning and Data Science in Manufacturing and Bio Science, Self-Adaptive Systems, and Topological Data Analysis. He is the author of many publications and was a PC member for many conferences and Workshops (AAAI-MAKE 2022-23-24 Spring Symposium, SACAIR 2023, DESRIST 2023, ATDA2019). He co-organized the 9th International Workshop on Engineering Energy Efficient InternetWorked Smart seNsors (E3WSN ) hosted by the 37th International Conference on Advanced Information Networking and Applications (AINA) at the Federal University of Juiz de Fora, Brazil. He has experience in Technological transfer projects and actively collaborates with international companies (INGKA, Schnell S.p.A., Sigma S.p.A., and Nuova Simonelli S.P.A.) and Italian ones (Syeew S.r.l). In 2024, he will be a Visiting Researcher at Addis Ababa University (Ethiopia) to work on topics related to his research fields.
Brett E Pickett
Dr. Brett Pickett is an Assistant Professor in the Microbiology and Molecular Biology Department at Brigham Young University. He completed his B.S degree in Microbiology from BYU in 2005, his Ph.D. training in Microbiology at the University of Alabama at Birmingham, and his postdoctoral training in Pathology at the University of Texas Southwestern Medical Center at Dallas. He then obtained additional experience in industry, and at the J. Craig Venter Institute, where he led investigative studies in viral comparative genomics and the human transcriptional response during viral infection. His research develops data mining methods, applies machine learning techniques, and use advanced statistical workflows to better understand how human cells respond during infection.
Douglas Pires
Douglas Pires is a Senior Lecturer in Digital Health in the School of Computing and Information Systems at the University of Melbourne. Previously, he was a group leader and researcher in public health at Oswaldo Cruz Foundation/Brazil. He was also a postdoctoral researcher fellow at the University of Cambridge and University of Melbourne. He received a PhD in Bioinformatics from the Universidade Federal de Minas Gerais/Brazil and a BSc in Computer Science, both with highest honours, by the same university. His research interests include: Computational Biology, Translational Bioinformtaics and Machine Learning.
Alessandro Sebastian Podda
Alessandro Sebastian Podda is a tenure-track Assistant Professor (RTT) at the Department of Mathematics and Computer Science of the University of Cagliari, and he is accredited by the Italian Ministry of University and Research for Associate Professor positions in the scientific sectors 01/B1 (Informatics) and 09/H1 (Computer Engineering). He received a master's degree in Computer Science from the University of Cagliari (cum laude) in 2014 and he got a PhD in Mathematics and Computer Science with a thesis entitled "Behavioural contracts: from centralized to decentralized implementations" in 2018. In 2017, he has been visiting scientist at the Laboratory of Cryptography and Industrial Mathematics of the University of Trento. In 2021, he was formally commissioned to a six month collaboration with the Ispra Joint Research Center (JRC) of the European Commission under the research tender ref. JRC/IPR/2020/VLVP/2916.
Currently, Alessandro Sebastian Podda is Research Unit Coordinator (AI for eHealth and Smart Cities) at the Artificial Intelligence and Big Data Laboratory and former member of the Blockchain Laboratory. He has been also the Work Package Lead of the Doutdes and Sardcoin projects and participates/d in several research projects including AlmostAnOracle, Nomad, Safespotter, Social Glue and Mister. To date, he has been the co-author of no. 18 articles in international journals in the field of computer science, no. 16 conference and workshop proceedings, and 1 book chapter, for which he has over 1450 citations on Google Scholar and over 900 on Scopus, as well as a speaker (eg. LOD 2022, ICCSA 2021, PerAwareCity 2021, MaDaIN 2020, FACS 2015, etc.), co-chair (AISC 2021/2022, HUMAD 2024) and program committee member at numerous international scientific events (eg. HT2022, LOD 2021/2022/2023/2024, IEEE HPCC 2022, IEEE CPS-COM 2021, etc.).
Alessandro Sebastian Podda has been a Member of the Association of Computing Machinery (ACM) and of the Institute of Electrical and Electronics Engineers (IEEE).
Joram M Posma
Lecturer in Cancer Informatics at Imperial College London and Fellow at Health Data Research (HDR) UK. Fellow of the Higher Education Academy (FHEA) and Member of the Royal Society of Chemistry (MRSC).
Michela Quadrini
Current research is focused on Artificial Intelligence, Bioinformatics, Formal methods and Languages for the modelling, analysis and verification of Distributed Systems.