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.
Noura Al Moubayed
Dr Al Moubayed is an Associate Professor at the department of computer science at Durham University.
Her main research interest is in Explainable Machine Learning, Natural Language Processing, and Optimisation.
Dr Al Moubayed received her PhD from Robert Gordon University, followed by post-doctoral positions at the University of Glasgow and Durham University.
Her research projects focus on applying machine learning and deep learning solutions in the areas of healthcare, social signal processing, cyber-security, and Brain-Computer Interfaces. All of which involve high dimensional, noisy and imbalance data challenges.
Tak-Wah Lam
Tak-Wah Lam received his PhD in Computer Science from the University of Washington. His current research is in the areas of algorithms and bioinformatics. Apart from theoretical work, he is active in working together with the genomics industry to advance the software for NGS data analysis. The most recent software, called MEGAHIT, is targeted to assemble large volume of metagenomics data in a memory-and-time efficient manner.
Alessandro Frigeri
My research interest focuses on Planetary Science, Geoinformatics, and Geophysical data acquisition (both in the field and from remote sensing instruments), processing, and comparative analysis of datasets with different data models (e.g. topography, spectral and visible imagery and radar). I use and develop GIS tools for quantitative spatial analysis in my research activity.
I'm part of Scientific Teams of instruments onboard missions to Mars (ESA's Mars Express and NASA's MRO) and asteroids belt Vesta and Ceres (NASA's Dawn).
Charles Ofria
Professor of Computer Science at Michigan State University; Director of the Digital Evolution Laboratory and Deputy Director of the BEACON Center for the Study of Evolution in Action.
Charles Ofria director of the Digital Evolution Laboratory. He conducts research on evolution in artificial systems and applies the results to problems in computer science and evolutionary biology. He developed Avida, a software-based research platform consisting of populations of 'digital organisms used in biological research. His work has been published in Science and Nature and his research has received international media attention in forums such as Discover Magazine, National Geographic, CNN, the BBC, New Scientist, and the New York Times.
Meeyoung Cha
Meeyoung Cha is an associate professor at Graduate School of Culture Technology in KAIST. Her research interests are in the analysis of large-scale online social networks. She received the best paper award from the Usenix/ACM SIGCOMM Internet Measurement Conference 2007 for her work on YouTube and the International Conference on Weblogs and Social Media 2012 for her work on social conventions. Her research has been featured at NYT and HBR.
Michela Quadrini
Current research is focused on Artificial Intelligence, Bioinformatics, Formal methods and Languages for the modelling, analysis and verification of Distributed Systems.
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.
Kjiersten Fagnan
Kjiersten Fagnan joined the JGI in 2012 after completing a petascale postdoctoral fellowship at NERSC and CRD. In 2014 Fagnan became the JGI-NERSC Engagement Lead with a focus on adapting JGI workloads to run on supercomputing hardware. She is also working to understand the data-intensive nature of JGI workloads. Fagnan earned her PhD in Applied Mathematics at the University of Washington in 2010 and her BA from UC Berkeley in 2002.
Luc Moreau
Luc Moreau is a Professor of Computer Science, Head of the Web and Internet Science group (WAIS), and Deputy Head (Research and Enterprise) of ECS-Electronics and Computer Science at the University of Southampton.
Luc was co-chair of the W3C Provenance Working Group, which resulted in four W3C Recommendations and nine W3C Notes, specifying PROV, a conceptual data model for provenance the Web, and its serializations in various Web languages.
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.
Biju Issac
Dr Biju Issac is a Computer Science academic staff working at Northumbria University, UK. He has done PhD in Networking and Mobile Communications, MCA (Master of Computer Applications) and BE (Electronics and Communications Engineering). He is a Chartered Engineer (CEng), Senior IEEE member and Fellow of HEA. His research interests are in Wireless Networks, Cybersecurity, AI/Machine Learning applications (security, image processing, text mining etc) and Bio-inspired metaheuristic algorithms. His personal research website: https://www.bijuissac.com/
Christoph Csallner
My main research interests are in software engineering, especially in program analysis and automated testing.