Academic Editors
The following people constitute the Editorial Board of Academic Editors for PeerJ Computer Science. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.
Rebecca Wright
Rebecca Wright is a professor in the Computer Science Department and Director of DIMACS at Rutgers. Her research spans the area of information security, including cryptography, privacy, foundations of computer security, and fault-tolerant distributed computing, as well as foundations of networking. She is a member of the board of the Computer Research Association's Committee on the Status of Women in Computing Research (CRA-W).
Marco Lapegna
In 1991 Marco Lapegna received his PhD in Applied Mathematics and Computer Science at the University of Naples Federico II (Italy), and since 2001 is a professor of Computer Science at the Department of Mathematics and Applications of the same university.
His main research interests concern methods, algorithms, and software for parallel and distributed computing environments applied to computational mathematics and machine learning, taking into account the influence of the technological evolution on them (cluster computing, multicore computing, grid computing, cloud, and edge computing). He has an active academic life with several institutional coordination duties.
Krista H Lagus
Krista H. Lagus is a Finnish professor and researcher specializing in artificial intelligence (AI), natural language processing (NLP), machine learning, and digital social science. She currently serves as a Professor of Digital Social Science at the University of Helsinki, where she integrates AI and digital methods with social sciences to analyze complex social behaviors.
Lagus earned her M.Sc. in Computer Science in 1996 and her Ph.D. in Computer and Information Sciences in 2000 from Helsinki University of Technology (now Aalto University). She has held various research positions, including Academy Research Fellow at the Finnish Academy of Sciences from 2006 to 2012. In 2019, she co-founded the Center for Social Data Science (CSDS) at the University of Helsinki and became its first director.
University of Helsinki
Her notable projects include WEBSOM, a method for visualizing large text collections using self-organizing maps; Citizen Mindscapes, which examines digital communication to gauge public opinion and societal trends; and Morfessor, an algorithm for unsupervised morphological analysis widely used in NLP. Her publications have appeared in leading journals such as IEEE Transactions on Neural Networks, Information Sciences, Neurocomputing, Artificial Intelligence Review, ACM Transactions on Speech and Language Processing, and Cognitive Science.
In addition to her research, Lagus teaches and supervises students in AI and digital social science, contributing to interdisciplinary research and education that leverages AI for societal benefit.
Ari Melo Mariano
Ari Melo Mariano is a Data Scientist, Post-Doctorate in Data Science, Post-Doctorate in Scientific Methodology and Quantitative Methods, Doctor in Administration, Master in Administration, and Bachelor in Administration. A specialist in data science, he also has an MBA in European consumer law. He is currently a professor and researcher in production engineering at the University of Brasilia (UNB), Brazil. Professor of the Professional Master of Applied Computing in the Department of Computer Science and Collaborating Professor of 6 doctorate programs in Latin America.
Ari is the Director of DataLab at the Production Engineering Course at the University of Brasilia. As a researcher, he works in data science, behavioral big data, bibliometrics, analysis via structural equation models, and text mining. The most related areas of his research are the acceptance and use of technology, consumer behavior, active methodologies, learning styles, Industry 4.0 and 5.0, smart and shared cities, and interculturality.
Anh Nguyen
Dr. Anh Nguyen-Duc is a Professor at the Department of Business and IT, University of South Eastern Norway. He works as Professor 2 at Norwegian University of Science and Technology. His research interests include Empirical Software Engineering, Data Mining, Software Startups Research and Cybersecurity.
Chee Shin Yeo
Chee Shin Yeo has completed both Ph.D. and M. Software Systems Engineering (MSSE) in the Department of Computer Science and Software Engineering (CSSE), The University of Melbourne, Australia in 2008 and 2002 respectively, and a B.Sc. (Hons) in Computer and Information Sciences in the School of Computing (SoC), National University of Singapore (NUS), Singapore in 2001. He is an IEEE Senior Member.
Patricio Ramirez-Correa
Patricio Ramirez-Correa is an accomplished Professor at the Catholic University of the North in Chile, with a Ph.D. in Business, an M.Sc. in Marketing, an M.A. in Management, and a B.Sc. in Computer Engineering. His expertise lies in information technology, specifically in understanding its impact on organizational and individual levels. He is also a Visiting Professor at the University of Seville and the University of the Bío Bío.
Dr. Ramirez-Correa's research focuses on technology acceptance models and data science, and he has collaborated with researchers worldwide throughout his career. His contributions to the field of information technology are significant, having authored over one hundred papers in international journals, including highly reputable publications such as Technological Forecasting and Social Change, Computers & Education, Telematics and Informatics, Journal of Research in Interactive Marketing, and Industrial Management & Data Systems.
Dr. Ramirez-Correa's experience as an academic editor, guest editor, and reviewer for various journals has further solidified his knowledge and expertise in the field. In 2022, he was recognized by Stanford University as one of the top 2% most-cited researchers, a testament to his commitment to advancing the field of information technology through rigorous research and collaboration with colleagues worldwide.
Ignacio Arganda-Carreras
Ignacio Arganda-Carreras (Madrid, 1980) is a European PhD in Computer Engineering and Telecommunications by the Autonomous University of Madrid and holds a BSc in Computer Engineering from the same university. He took postdoctoral studies at the department of Brain and Cognitive Sciences of the Massachusetts Institute of Technology from 2009 to 2013 and at the Jean-Pierre Bourgin Institute of the Institut National de la Recherche Agronomique, Versailles, from 2013 to 2015.
During his doctorate studies he carried out research stays at the Lawrence Berkeley National Laboratory in Berkeley (California, 2002-2004), at the Centre for Machine Perception of the Technical University of Prague (2005) and at the Applied Medical Research Centre of the University of Navarra in Pamplona (2006). He has worked as a consultant for the Max Planck Institute of Cellular Biology and Genetics in Dresden (2009) and for the Institute of Neuroinformatics in Zurich (2009).
Since September 2015 he is an Ikerbasque Research Fellow at the Department of Computer Science and Artificial Intelligence of the University of the Basque Country.
Shuo Wang
Shuo Wang is an Assistant Professor in the School of Computer Science, at the University of Birmingham, UK. Her research interests include data stream classification, class imbalance learning and ensemble learning approaches in machine learning, and their applications in social media analysis, software engineering and fault detection. Her work has been published in internationally renowned journals and conferences, such as IEEE Transactions on Knowledge and Data Engineering and International Joint Conference on Artificial Intelligence (IJCAI). In addition, she was a guest editor of Neurocomputing and Connection Science and the workshop organizer of IJCAI'17 and ECML/PKDD'21, '22. She is currently in the editorial board of International Journal of Computational Intelligence and Applications.
Licia Capra
Licia is a Reader (Associate Professor) in the Dept of Computer Science at University College London. She conducts research in the area of ubiquitous computing. Specific topics include: crowd-sourcing and crowd-sensing, urban computing, location-based services, recommender systems, data mining for development. The aim of her research is to provide developers with abstractions and algorithm to ease application development, and end users with better experiences when interacting with technology.
Felipe G Naveca
I am a microbiologist with experience in classical and molecular techniques applied to the study of human pathogens, mainly threatening RNA and DNA viruses. My research focuses on developing diagnostic tools, molecular epidemiology, and evolution, mostly on emergent and reemergent viruses. My team approaches include genomics and phylogenetic studies to characterize known and unknown viruses; field studies on arboviral emergence in a rural area in the Brazilian Amazon; immunogenetics studies related to susceptibility or resistance against microbial infections; studies on biomarkers of acute viral illness; in vitro & in vivo virus-host interactions and evolution; and SARS-CoV-2 and other respiratory viruses molecular epidemiology. Senior investigator of Fiocruz Amazonas and Deputy Director of Research and Innovation. Member of the Brazilian Society for virology since 1997. Member of the Brazilian network of specialists in Zika and correlated diseases.
Longzhi Yang
Longzhi Yang is the Director of Education and an Associate Professor (Reader) in the Department of Computer and Information Sciences at Northumbria University, U.K. He is the founding Chair of the IEEE Special Interest Group on Big Data for Cyber Security and Privacy. His research in the filed of AI, robotics, cyber security, and digital forensics has been supported by multiple research councils, charity organisations, and the industry. He is a Senior Member of IEEE, a professional member of British Computer Society, and a Senior Fellow of Higher Education Academy of United Kingdom.