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.

Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
Download Factsheet
I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
View author feedback

Stefan Güttel

Stefan Güttel is Professor of Applied Mathematics at the University of Manchester. His work focuses on computational mathematics, including numerical algorithms for large-scale linear algebra problems arising with differential equations and in data science. He has been awarded the 2021 SIAM James H. Wilkinson Prize in Numerical Analysis and Scientific Computing, the 2023 Taussky–Todd Prize of the International Linear Algebra Society, and holds a Royal Society Industry Fellowship.

Marta Giovanetti

My research focuses on investigating the patterns of gene flow in pathogen populations, focusing in phylogenetics and phylogeography as tools to recreate and understand the determinants of viral outbreaks and how this information can be translated into public policy recommendations. More specifically, my research focuses on recent arboviral outbreaks in Latin America (Zika, Chikungunya, Dengue and Yellow fever viruses and more recently SARS-CoV-2 in Brazil, Italy and South Africa), combining genetic, spatial and ecological information. I am interested in the epidemiology and ecology of viruses in natural populations. My research involves developing and applying techniques to integrate virus genetic data with traditional clinical and demographic data.

Takayuki Kanda

Takayuki Kanda is a Group Leader at ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan. He is one of the starting members of Communication Robots project at ATR. He has developed a communication robot, Robovie, and applied it in daily situations, such as peer-tutor at elementary school and a museum exhibit guide. His research interests include human-robot interaction, interactive humanoid robots, and field trials.

Ian Taylor

Ian Taylor is a Reader Cardiff University. He has a strong track record specialising in the workflow and data distribution areas, with application in audio, astrophysics and healthcare. Ian wrote a 2nd edition professional distributed computing book (sold 2000+) and was lead editor for “Workflows for eScience”. Ian has guest edited for the Journal of Grid Computing and co-chaired the OGF Workflow Management Research Group. He has published 110 papers.

Carlos Albuquerque

Carlos Manuel de Sousa Albuquerque is a Professor at the Escola Superior de Saúde of the Instituto Politécnico de Viseu (ESSV).

His other roles at ESSV include; Coordinating Professor, Pro-President of the IPV, Vice-Coordinator of the Health and Education Sciences Research Unit, President and Vice-President of the Pedagogical Council, and Vice-President of the Technical-Scientific Council.

Dr. de Sousa Albuquerque is also President of the General Assembly of the Scientific Association for Health Promotion and Education, of which he is Co-Founder. He is Vice-President of the National Board of the Catholic Association of Nurses and Health Professionals-ACEPS, and an integrated doctoral researcher at the Health Sciences Research Unit: Nursing (UNICISA-E) at the Coimbra College of Nursing.

Dr. de Sousa Alburquerque's research interests include, Determinants of Health and Disease, Psychomotor Rehabilitation Processes, Epidemiology of Chronic Diseases, and Child and Adolescent Psychology.

In addition to these roles, Dr. de Sousa Albuquerque is also a collaborating researcher at the Center for Research in Child Studies at the University of Minho and Center for Studies in Education and Innovation at the Polytechnic Institute of Viseu.

Dr. de Sousa Albuquerque received his Integrated Master's degree in Medicine, from the Faculty of Medicine of Coimbra (2014), his Postgraduate degree in Medical Hydrology, from the Faculty of Medicine of Porto (2017), his degree in Psychology, from the University of Trás-os-Montes and Alto Douro (2009), and his PhD in Psychology, specializing in Psychological Development and Intervention, from the University of Extremadura (2004). In addition, he also received his Master's degree in Health Sociopsychology, from the Instituto Superior Miguel Torga (1999), and his degree in Nursing, Rehabilitation specialty, from the Coimbra Nursing School (1988).

He is the author of numerous scientific articles published in National and International Scientific Journals, also collaborating on the team of editors of recognized journals in the field of health sciences and social sciences. He is a scientific referee expert for several journals: Millenium-Journal of Education, Technologies, and Health; Reference Magazine; Serving Magazine; Interação em Psicologia Magazine; and Health Magazine of the University of Guarulhos - Brazil.

Kristina Lerman

Kristina Lerman is a Project Leader at the Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the USC Viterbi School of Engineering's Computer Science Department. Her research focuses on applying network-based and machine learning methods to problems in social data analysis and social computing.

Jeonghwan Gwak

Dr. Jeonghwan Gwak received his Ph.D. degree in Machine Learning and Artificial Intelligence from Gwangju Institute of Science and Technology, Gwangju, Korea in 2014. From 2002 to 2007, he worked for several companies and research institutes as a Researcher and a chief technician. From 2014 to 2016, he worked as a Postdoctoral Researcher in GIST, and from 2016 to 2017 as a Research Professor. From 2017 to 2019, he was a Research Professor in Biomedical Research Institute & Department of Radiology at Seoul National University Hospital, Seoul, Korea. From 2019, he joined Korea National University of Transportation (KNUT) as an Assistant Professor and since 2021, he is an Associate Professor. He is the Director of the Algorithmic Machine Intelligence laboratory. His current research interests include deep learning, computer vision, image and video processing, AIoT, fuzzy sets and systems, evolutionary algorithms, optimization, and relevant applications of medical and visual surveillance systems.

Syed M. Anwar

Associate Professor at the Department of Software Engineering, University of Engineering and Technology, Taxila. PhD from University of Sheffield, UK and Fulbright Fellow at University of Central Florida, USA

Julio Rozas

Julio Rozas is Full Professor of Genetics at the Universitat de Barcelona (Spain), member of the executive committee of the Institut de Recerca de la Biodiversitat (IRBio-UB). ICREA Academia Researcher. Past postdoctoral fellow at Harvard University.

Juergen Gall

Juergen Gall obtained a Ph.D. in computer science from the Saarland University and the Max Planck Institut für Informatik in 2009. He was a postdoctoral researcher at the Computer Vision Laboratory, ETH Zurich, from 2009 until 2012 and senior research scientist at the Max Planck Institute for Intelligent Systems in Tübingen from 2012 until 2013. Since 2013, he is professor at the University of Bonn and head of the Computer Vision Group.

Carolyn Talcott

Dr. Carolyn Talcott is a Program Director in CSL, and SRI fellow. She has PhD's in Chemistry and Computer Science. She leads the Symbolic Systems Technology and Pathway Logic groups. She has over 25 years experience in formal modeling and analysis. At SRI, Dr. Talcott is leading research in symbolic systems biology, security protocol analysis, and formal analysis applied to embedded systems and next-generation networks.

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.