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.
Silvia Bartolucci
Silvia Bartolucci is a lecturer working in the Department of Computer Science within the Financial Computing and Analytics Group. Prior to joining UCL, Silvia worked at Imperial College Business School as Research Associate in the Department of Finance within the Centre for Financial Technology. Silvia has a background in Theoretical Physics from Sapienza University in Rome and holds a Ph.D. in Applied Mathematics from King's College London.
Ranjit Vijayan
Dr. Ranjit Vijayan obtained his PhD in Life Sciences Interface/Biochemistry from the University of Oxford, UK, and his DipGrad in Management from the London School of Economics & Political Science, University of London, UK. In 2004 Dr Vijayan obtained his MSc in Computer Science from the University of Wales, Aberystwyth, UK, and prior to this his BEng in Electrical & Electronic Engineering, Nanyang Technological University, Singapore.
Dr. Vijayan's research interests include; molecular dynamics simulations of biological macromolecules, protein structure modeling, structure based drug discovery, genomics & transcriptomics, pharmacogenomics and high-performance computing.
Feiping Nie
Feiping Nie's research interests are machine learning and its application. He has published more than 100 papers in the following journals and conferences: TPAMI, IJCV, TIP, TNNLS/TNN, TKDE, TKDD, TVCG, TCSVT, TMM, TSMCB/TC, Machine Learning, Pattern Recognition, Medical Image Analysis, Bioinformatics, ICML, NIPS, KDD, IJCAI, AAAI, ICCV, CVPR, SIGIR, ACM MM, ICDE, ECML/PKDD, ICDM, MICCAI, IPMI, RECOMB. According to Google scholar, his papers have been cited more than 2000 times.
Sophia Ananiadou
Sophia Ananiadou (PhD) is Professor in Computer Science at the School of Computer Science, the University of Manchester. She is also Director of the UK National Centre for Text Mining, Turing Fellow and a founding member of the SIG in BioNLP, ACL.
Vincent Chen
Dr. Vincent Chen's research is dedicated to advancing biomedical applications in physical rehabilitation, with a primary emphasis on neuromodulation, biomechanics, sports, and wellness. Positioned at the crossroads of engineering and healthcare, his work tackles significant challenges while cultivating a collaborative and innovative environment. The overarching objective is to methodically explore mechanisms of the human body, systematically isolating neurological or musculoskeletal problems to discern optimal and targeted solutions. This systematic approach seeks to furnish clinicians with a comprehensive understanding of specific disorders, particularly those that may profoundly affect an individual's well-being.
John D Owens
Professor of Electrical and Computer Engineering at UC Davis. At Davis, I lead a research group of amazing students with a focus on GPU computing, including fundamental algorithms and data structures; applications; multi-GPU computing; and programming models and implementations.
Björn W Schuller
Björn W. Schuller received his diploma in 1999, his doctoral degree in 2006, and his habilitation and was entitled Adjunct Teaching Professor in the subject area of Signal Processing and Machine Intelligence in 2012 all in electrical engineering and information technology from TUM in Munich/Germany. He is Full Professor and Chair of Complex and Intelligent Systems at the University of Passau/Germany and a Senior Lecturer (Associate Professor) in Machine Learning at Imperial College London/UK.
Eftim Zdravevski
Head of the Institute for Intelligent Systems and an Associate Professor at the Faculty of Computer Science and Engineering of the Saints Cyril and Methodius University in Skopje, Macedonia.
His research interests are in FinTech, Big Data, ML, cloud computing, time series analysis, etc.
Founder and CEO of MAGIX.AI - a company specialized in applied AI for predictive maintenance, FinTech, AdTech, and E-commerce. Participated in and led many national and international research projects related to ML in various domains.
Published over 150 papers in peer-reviewed international conferences and top-ranked journals, of which over 100 are indexed in Web of Science.
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.
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.
Elhadj Benkhelifa
Prof. Elhadj Benkhelifa is a full Professor of Computer Science and Digital Innovations at Staffordshire University, where he is also the Head of Professoriate leading a large body of all Associate and Full Professors across the whole University with the mission to contribute, influence, shape and enable the collective advancement of the University’s strategies and develop excellence in T&L, research and enterprise. He is also a member of the University Research Ethics Committee.