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.
Neil P Chue Hong
Neil Chue Hong is the founding Director and PI of the Software Sustainability Institute, a collaboration between the universities of Edinburgh, Manchester, Oxford and Southampton. He enables research software users and developers to drive the continued improvement and impact of research software. From 2007-2010, he was Director of OMII-UK at the University of Southampton, which provided and supported free, open-source software for the UK e- Research community. In addition to sitting on several project advisory committees, he is the Editor-in-Chief of the Journal of Open Research Software, chair of the Met Office / UKRI ExCALIBUR Steering Committee, past chair of the EPSRC Strategic Advisory Team on e-Infrastructure, co-author of "Best Practices for Scientific Computing" and "An Open Science Peer Review Oath", and co-organiser of the Software Engineering for Science workshop series.
Simone Fontana
Prof. Simone Fontana is an assistant professor at Università degli Studi di Milano - Bicocca.
His main research activity is in the field of 3D robot perception, with special attention to point clouds registration, a problem for which he has developed a benchmark. More recently, Dr. Fontana's research has focused on the use of informatics techniques for neuropsicology and neuroscience.
He is a co-investigator of the DriveWin project, which aims to investigate the effects of different types of non-invasive neurostimulation on attention while driving. Attention was assessed on a driving simulator and two age groups were compared.
Prof. Fontana is also a lecturer at the School of Law and at the Advanced Specialization School in Neuropsychology.
Eyke Hüllermeier
Eyke Hüllermeier is a full professor in the Department of Computer Science at the University of Paderborn, Germany, where he heads the Intelligent Systems group. He studied mathematics and business computing, received his PhD in computer science from the University of Paderborn in 1997, and a Habilitation degree in 2002. Prior to returning to Paderborn in 2014, he held professorships at the Universities of Dortmund, Magdeburg and Marburg.
Ashutosh Dhar Dwivedi
Ashutosh Dhar Dwivedi is an Assistant Professor in Cybersecurity Group, Aalborg University, Copenhagen, Denmark. His research field includes Machine Learning, Cryptography, Post Quantum Cryptography, Security and Blockchain.
He completed his PhD from the Polish Academy of Sciences, Poland in March 2020. He received the B.Sc. degree from the University of Allahabad, Prayagraj, India, and the MCA degree from the Amity School of Computer Sciences, Noida, India.
Prior to joining Aalborg University, he worked as Postdoctoral Researcher at Department of Digitalization, Copenhagen Business School, Denmark, DTU Compute (Cyber Security Section), Technical University of Denmark, full time Visiting Researcher at the University of Waterloo, Ontario, Canada, Research Associate at the Brandon University, Manitoba, Canada, Research Employee and PhD at Polish Academy of Sciences, Warsaw, Poland and Research Scholar at the Military University of Technology, Warsaw, Poland.
He has a rich industry experience as well. He was an Intern (under his master's project) with the prestigious organization "Center for Railway Information Systems, New Delhi," governed by the Ministry of Railways, India. He was with organizations related to software development projects for two years. In 2015, he moved to Poland and started a career in cryptography research.
Ana Tereza Ribeiro Vasconcelos
Ana Tereza Vasconcelos is Senior Researcher Scientist at the National Laboratory for Scientific Computing and coordinator of the Bioinformatics Laboratory and the Computational Genomics Unit Darcy Fontoura de Almeida at National Laboratory of Scientific Computation (LNCC). Her team has experience in the area of Bioinformatics and Computational Biology. Using High Performance Computing and AI working on the following topics: Genomics, Development of software applications in Bioinformatics and computational tools applied assembly, annotation and comparison of genomes, metagenomics, exomes and transcriptomics applied to many different model organisms. Since 2020 he has worked in the generation and analysis of SARS-CoV-2 genomes, mainly in the identification of new lineages.
Elena Marchiori
Elena Marchiori received a MSc in mathematics and a PhD in computer science from the University of Padua, Italy. She was employed at the Centre for Mathematics and Computer Science, Amsterdam and at the Leiden Institute of Advanced Computer Science. Since 2008 she is associate professor at the Radboud University Nijmegen. She published 100+ scientific papers on methods and applications in computer science. Her current research interests include machine learning methods and applications.
Jacqui Chetty
Dr. Jacqui Chetty is a Lecturer in the School of Computer Science at the University of Birmingham, UK.
Her current research interests include Gamification, and Teaching and learning within a COVID-19 environment.
Giulia Cisotto
Giulia Cisotto is an Assistant Professor (tenure-track) at the Department of Mathematics, Informatics, and Geosciences of the University of Trieste (Italy). She is an IEEE Senior member and a GRIN member. Her research activity is mainly focused on the processing and modeling of complex systems via machine learning and deep learning techniques, with particular expertise in multi-dimensional electroencephalographic (EEG) time-series. She has always been collaborating with several companies and research Hospitals to promote the impact of academic research into the Society. She is also active in the dissemination of science (as a member of the Association "La Via delle Scienze", Italy) and in the promotion of innovative teaching of science in the Academia.
Shengchao Qin
Dr Shengchao Qin has been a Professor (Chair) of Computer Science since 2011.
He received his PhD in 2002 from Peking University. From July 2002 to December 2004, he was a Research Fellow under the Computer Science Programme in the Singapore-MIT Alliance, affiliated with National University of Singapore. He became a University lecturer in Durham University in January 2005. In June 2010, he joined Teesside University as a Reader and became a full Professor in June 2011. From August 2016 to September 2019, he also acted as the Associate Dean (Research & Innovation) for School of Computing, School of Computing, Media & the Arts, and then School of Computing & Digital Technologies.
Shengchao is a full member of the UK EPSRC Peer Review College and a member of the UKRI FLF (Future Leaders Fellowships) Peer Review College. He is also a senior member of IEEE and ACM.
Amit Sheth
Educator, Researcher, and Entrepreneur. Founding Director - AI Institute, NCR Professor, and Professor of Comuter SC & Engg, University of South Carolina. Earlier, LexisNexis Ohio Eminent Scholar. Executive Director, Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis) at Wright State University. Elected Fellow IEEE, AAAS, AAAI, ACM, and AAIA. Working towards a vision of Computing for Human Experience. His recent work has focused on knowledge-infused learning and neuro-symbolic AI, semantic-cognitive-perceptual computing, and semantics-empowered Physical-Cyber-Social computing. He coined the terms: Smart Data, Semantic Sensor Web, Semantic Perception, Citizen Sensing, etc. He has (co-)founded four companies, including the first Semantic Search company in 1999 that pioneered technology similar to what is found today in Google Semantic Search and Knowledge Graph, ezDI, which developed knowledge-infused clinical NLP/NLU, and Cognovi Labs at the intersection of emotion and AI. He is particularly proud of the success of his >45 Ph.D. advisees and postdocs.
Marvin Wyrich
Dr. Marvin Wyrich is a Researcher at Saarland University, Germany.
His primary research interests include empirical software engineering, program comprehension, and meta-scientific topics.
Sally Jo Cunningham
Sally Jo Cunningham is a founding member of the New Zealand Digital Libraries Research Group, who are the developers of the Greenstone software. Her research primarily focuses on digital library users and their information behaviour, over text, image, video, and music documents; she is particularly interested in how information behaviour changes as people move to digital documents, and in how we can support the 'non-native' behaviour seen with physical collections, in the digital library.