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.
Yan Chai Hum
Dr. Hum Yan Chai is a researcher in artificial intelligence and computer vision. He received his B.Eng degree in biomedical engineering from the Universiti Teknologi Malaysia (UTM). He is currently serving as an Assistant Professor in the Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman.
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.
Natalia Kryvinska
Prof. Natalia Kryvinska is a Full Professor and a Head of the Information Systems Department, at the Faculty of Management, Comenius University in Bratislava, Slovakia. Previously, she served as a University Lecturer and a Senior Researcher at the eBusiness Department, University of Vienna's School of Business Economics and Statistics.
She received her Ph.D. in Electrical & IT Engineering from the Vienna University of Technology in Austria, and a Docent title (Habilitation) in Management Information Systems, from the Comenius University in Bratislava, Slovakia. She obtained her Professor title and was appointed for the professorship by the President of the Slovak Republic.
Her research interests include Complex Service Systems Engineering, Service Analytics, and Applied Mathematics.
Fabrizio Sebastiani
Fabrizio Sebastiani is a Senior Researcher at the Institute for the Science and Technologies of Information of the National Council of Research (ISTI-CNR), Italy. He has also been a Principal Scientist at the Qatar Computing Research Institute, and an Associate Professor at the Department of Pure and Applied Mathematics of the University of Padova. His research interests lie at the intersection of information retrieval and machine learning, with particular emphasis on text mining, text classification, information extraction, opinion mining, quantification, and their applications in fields such as medical informatics, market research, and customer relationships management. A list of his publications (on Google Citations) can be found at http://bit.ly/2pfSQwi.
Vijay Mago
Vijay Mago received a Ph.D. degree in computer science from Panjab University, India, in 2010. In 2011, he joined the Modeling of Complex Social Systems Program at The IRMACS Centre, Simon Fraser University. He is currently the Chair and an Associate Professor with the Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada, where he teaches and conducts research in areas, including big data analytics, machine learning, natural language processing, artificial intelligence, medical decision making, and Bayesian intelligence. He has published extensively on new methodologies based on soft computing and artificial intelligence techniques to tackle complex systemic problems, such as homelessness, obesity, and crime. He serves as an Associate Editor for IEEE Access and BMC Medical Informatics and Decision Making.
Julita Vassileva
Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.
Massimiliano Fasi
Massimiliano Fasi is a Lecturer in Software Engineering at the School of Computing of the University of Leeds. He obtained a PhD from the University of Manchester in 2019, and has held positions in the UK (University of Manchester and Durham University) and in Sweden (Örebro University).
His research interests include scientific computing, computer arithmetic, and numerical analysis, with particular focus on numerical linear algebra.
Sankar Subramanian
Senior Lecturer at the University of the Sunshine Coast, Moreton Bay, Brisbane, Australia; USC Senior Research Fellow; Smithsonian Fellow; Adjunct Research Fellow (Griffith University)
Dr Sankar Subramanian is a Senior Lecturer in Genetics. Sankar joined USC as a Senior Research Fellow in March 2017. Prior to this he worked at the Australian Research Centre for Human Evolution, Griffith University. His research primarily centers around the question of, how does genetic drift influence mutations. Sankar worked on a number of research projects to investigate the interaction between drift and mutations, which include the evolution of codon usage bias in animal genomes, temporal patterns of deleterious mutations in humans and penguins, difference in the allele frequencies of polymorphisms in global human populations. Sankar has developed methods to identify and quantify deleterious mutations in human populations. Dr Subramanian is also interested in estimating rates of mutations and divergence times between species and populations. His research also focuses on studying ancient genomes to understand the past demographic history of vertebrates including ancient penguins, tuatara (a New Zealand reptile), moa (an extinct bird) and ancient humans. Furthermore, he is investigating the population history, mutational load and admixture patterns of modern and ancient Aboriginal Australians. At USC, he has started working on the conservation genomics of Australian Dingoes.
Chiara Ghidini
Chiara Ghidini is a senior Research Scientist at Fondazione Bruno Kessler (FBK), Trento, Italy, where she heads the Process & Data Intelligence (PDI) research unit. She obtained her PhD in Computer Science Engineering in a joint programme between the Università “La Sapienza” of Rome and the University of Trento.
Her scientific work in the areas of Semantic Web, Knowledge Engineering and Representation, Multi-Agent Systems and Process Mining is internationally well known and recognised, and she has made significant scientific contributions in the areas of: formal semantics for contextual reasoning and multi-context logics; formal frameworks for the specification of deliberative resource bounded agents; ontology mappings and integration; collaborative modeling platforms, and predictive business process monitoring.
Dr. Ghidini has actively been involved in the organisation of several workshops and conferences on multiagent systems, Contexts-based representations, Knowledge Engineering, and Semantic Web, and has served as programme committee member for most of the top international conferences in these areas.
She has been involved in a number of international research projects, among which the FP7 Organic.Lingua and SO-PC-Pro European projects, a well as industrial projects in collaboration with companies in the Trentino area.
Mariagrazia Fugini
Research interests in data and systems security, information system development, services for Public Administrations, Risk and Adaptive Cyber security, and services co-production. Involved in National and International Research Projects on e-Government, Web-based Information Systems, Risk and Adaptive Security, Security of Smart Environments and Service Platforms for Social Care and e-Health.
Steven John Thompson
I teach at Savannah State University and at University of Maryland Global Campus. Former faculty at Johns Hopkins University, Dartmouth College, UC Davis. I have been teaching college students for over 20 years. My research expertise is in Internet phenomena: access, addiction, agency, control, dependency, governance, and policy; and engineering ethics in Science, Technology, and Society (STS) merging the Internet with physical bodies. I am the Editor for Machine Law, Ethics and Morality in the Age of Artificial Intelligence (2021); Androids, Cyborgs, and Robots in Contemporary Culture and Society (2017); and, Global Issues and Ethical Considerations in Human Enhancement Technologies (2014).
Ayaz Ahmad
Ayaz Ahmad is currently an Associate Professor with the Department of Electrical and Computer Engineering, COMSATS University Islamabad – Wah Campus, Pakistan. Prior to that he was anAssistant Professor in the same university. He received the B.Sc. degree in electrical engineering from the University of Engineering and Technology, Peshawar, Pakistan, in 2006, and the M.S. and Ph.D. degrees in Wireless Communication from Ecole Superieure d'Electricite (Supelec), Gif-sur-Yvette, France, in 2008 and 2011, respectively. From 2006 to 2007, he was a Faculty Member with the Department of Electrical Engineering, FAST-NUCES, Peshawar, Pakistan. He is the recipient of best research paper award from Higher Education Commission, Pakistan for the years 2015 -2016, National Research Productivity Award from Pakistan Council of Science and Technology (PSCT) in 2017, best research paper award in IEEE IEMCON 2018 held in Canada, and Publon Top Peer Reviewer award in 2019. He has several years of research experience and has authored or co-authored several scientific publications in various refereed international journals and conferences. He has also authored or co-authored several book chapters, and is the leading Co-Editor of the book Smart Grid as a Solution for Renewable and Efficient Energy published in 2016. He is Associate Editor with IEEE Access, Human-centric Computing and Information Sciences, PeerJ Computer Science and Frontiers in Smart Grids. He has twice served as Guest Editor for the IEEE ACCESS. He is regularly serving as a TPC member for several international conferences, including IEEE GLOBECOM, IEEE ICC and IEEE PIMRC, and as a reviewer for several renowned international journals. He is Senior Member IEEE and Associate Fellow of Advance HE, UK. He is a member of the IEEE Communication Society. He is expert in Outcome Based Education system. His research interests include resource allocation in wireless communication systems, energy management in smart grid, and the application of optimization methods to engineering problems.