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Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Peter Denning

Distinguished professor of computer science at Naval Postgraduate School. Past president of ACM. Past editor in chief of Communications of ACM. Currently editor of ACM Ubiquity. Author of ten books, most recent Great Principles of Computing (MIT Press 2015). Author of over four hundred scientific papers and articles.

Computational Science Computer Architecture Computer Education Computer Networks & Communications Cryptography Data Mining & Machine Learning Data Science Databases Digital Libraries Embedded Computing Emerging Technologies Graphics Human-Computer Interaction Natural Language & Speech Operating Systems Optimization Theory & Computation Programming Languages Robotics Science Policy Scientific Computing & Simulation Security & Privacy Social Computing Software Engineering

Lydia E Kavraki

Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.

Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Bioengineering Bioinformatics Computational Biology Computational Science Computer Education Data Mining & Machine Learning Graphics Robotics Science & Medical Education Science Policy Scientific Computing & Simulation Theory & Formal Methods

Binh P. Nguyen

Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).

Artificial Intelligence Bioinformatics Computational Biology Computational Science Computer Vision Data Mining & Machine Learning Data Science Graphics Human-Computer Interaction Natural Language & Speech Scientific Computing & Simulation Visual Analytics

Yuan Shang

Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.

Bioinformatics Computational Biology Crystallography Data Mining & Machine Learning Data Science Genetics Genomics Graphics Mathematical Biology Medical Genetics Metabolic Sciences Neuroscience Statistics Translational Medicine

Daniel Thalmann

Prof. Daniel Thalmann is with EPFL, Switzerland. Pioneer in research on Virtual Humans, he is coeditor-in-chief of the Journal of Computer Animation & Virtual Worlds, & editor of 7 journals. He has published 600 papers in Graphics, Animation, & Virtual Reality. Dr.hc from University Paul-Sabatier, France (2003), he also received the Eurographics Distinguished Career Award (2010) and the 2012 Canadian Human Computer Communications Society Achievement Award.

Graphics

Keli Xiao

Dr. Keli Xiao is an Associate Professor in the College of Business at Stony Brook University. He received his Ph.D. from Rutgers University. Dr. Xiao’s research interests include business analytics, data mining, real estate/urban computing, economic bubbles and crises, and asset pricing. His research has appeared in many high-quality journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Real Estate Economics, ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), etc. He regularly serves as an SPC or PC of numerous prestigious conferences, such as AAAI, IJCAI, KDD, ICDM, SDM, CIKM, etc.. He is a senior member of the IEEE and the ACM.

Adaptive & Self-Organizing Systems Agents & Multi-Agent Systems Artificial Intelligence Computational Science Data Mining & Machine Learning Data Science Distributed & Parallel Computing Graphics Mobile & Ubiquitous Computing Natural Language & Speech Network Science & Online Social Networks Neural Networks Optimization Theory & Computation Sentiment Analysis Social Computing Spatial & Geographic Information Systems Text Mining

Hao (Richard) Zhang

Professor of Computer Science at Simon Fraser University (SFU), Canada. Editor-in-chief of Computer Graphics Forum. Directs the graphics (GrUVi) lab. Obtained his Ph.D. from Dept. of Computer Science, University of Toronto, and his M.Math. and B.Math degrees from the University of Waterloo. Richard's research area is computer graphics with a focus on geometry modeling and processing, shape analysis, 3D content creation, and 3D printing.

Computer Aided Design Graphics

Huiyu Zhou

Prof. Huiyu (Joe) Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom.

Prof. Zhou currently heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was the Director of MSc Programme (2018-19), and currently is the Coordinator of MSc Distance Learning and a Member of Research Committee at School of Informatics. Prior to this appointment, he worked as a Lecturer (2012-17) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast.

Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize".

Computer Vision Graphics Multimedia Security & Privacy Visual Analytics

Jiayan Zhou

Jiayan Zhou is a postdoctoral scholar at Stanford University School of Medicine, specializing in Cardiovascular Medicine, Population Genetics, and Molecular Biology. He is a computational geneticist with a special interest in advancing statistical methodologies and software frameworks tailored for integrating multi-omics data, aimed at elucidating novel therapeutic avenues for various human diseases. He also actively explores the intersection of AI and healthcare, leveraging AI models to address intricate challenges in healthcare delivery and patient outcomes.

Bioinformatics Computational Biology Data Mining & Machine Learning Epidemiology Genetics Graphics Natural Language & Speech Text Mining