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.
Alberto Cano
Alberto Cano is an Associate Professor with the Department of Computer Science, Virginia Commonwealth University, Richmond, Virginia, United States, where he heads the High-Performance Data Mining laboratory. His research is focused on machine learning, data mining, big data, evolutionary computation, general-purpose computing on graphics processing units, and distributed computing.
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.
Ghufran Ahmad
Ghufran Ahmad's research focuses on microeconomic theory specifically dealing with resource allocation, social choice, and matching problems. He is currently working as an Assistant Professor at NUST Business School, Pakistan.
He received his B.Sc. (Hons) in Economics from Lahore University of Management Sciences, Pakistan in 2012. After that, he joined Texas A&M University in College Station, TX, USA to pursue his Ph.D. in Economics, completing it in 2017 under the supervision of Dr. Guoqiang Tian and Dr. Vikram Manjunath.
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.
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.
José Ignacio Santos
I hold a Ph.D. in Industrial Engineering from the University of Burgos and a Bachelor's degree in the same field from the University of Valladolid. Additionally, I have earned an M.Sc. in Business Economics from UNED and an M.Sc. in Information Systems from the School of Industrial Management (EOI) in Madrid. At the outset of my career, I dedicated myself to developing methodologies for the study of complex systems, a commitment that has defined my research trajectory. My work is distinguished by a dual focus. First, I am deeply interested in employing a variety of methods and techniques—such as agent-based modeling, complex network theory, and machine learning. These approaches are instrumental in my ongoing study of complex systems. Second, I am committed to an interdisciplinary approach, actively collaborating with experts across engineering, social sciences, anthropology, and archaeology. This cross-disciplinary engagement has been crucial in tackling complex challenges, leading to significant contributions in both the social sciences and humanities and the domains of computer science and engineering.
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.
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.
Michael C Hout
Michael C. Hout is a Professor in the Department of Psychology, where he directs the Vision Sciences and Memory Laboratory and co-directs the Addison Care Virtual and Augmented Reality Lab. He is also the Associate Director of the NMSU Discovery Scholars Program, and an Associate Editor at the journal Attention, Perception, & Psychophysics. He recently finished a two-year position as Program Director at the National Science Foundation, co-directing the Perception, Action, and Cognition, and Cognitive Neuroscience programs. He has won several awards for research and teaching, including the Rising Star award from the Association for Psychological Science, as well as the Early Career Award for Exceptional Achievements in Creative Scholarly Activity and the Donald C. Roush Award for Teaching Excellence from NMSU.
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.