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.
Maria Csernoch
Received her teacher degree in mathematics, descriptive geometry, informatics and English, her B.Sc. in software engineering and lean management, Ph.D. in mathematics and computer sciences, and Dr. habil. degree in applied linguistics from the University of Debrecen, Hungary. She currently works as an Associate Professor at the Faculty of Informatics, University of Debrecen. Her research interests include didactics of Informatics, specializing in developing computational thinking skills, knowledge-transfer, subject integration, digital sustainability, and lean computing education.
Alex Nicolau
Professor of Computer Science at the University of California, Irvine; IEEE Fellow.
Mema Roussopoulos
Mema Roussopoulos is a faculty member at the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens in Athens, Greece. She completed my PhD in Computer Science and served on the faculty of Harvard University and University of Crete before joining the University of Athens. She investigates topics in the areas of distributed systems, networking, mobile computing, and digital preservation.
Elizabeth D Mynatt
Executive Director of the Institute for People and Technology and Professor in the College of Computing at the Georgia Tech. Her research program, known as Everyday Computing, examines the human-computer interface implications of having computation continuously througout everyday life. She is a member of the SIGCHI Academy, a Sloan and Kavli research fellow, and serves on Microsoft Research's Technical Advisory Board. Mynatt is also the Vice-Chair of the Computing Community Consortium.
Polly Huang
Polly Huang is a professor at the Department of Electrical Engineering, National Taiwan University. Polly received her Ph.D. in Computer Science from University of Southern California. Her research interest includes multimedia networking, sensor networking, and mobile computing. Polly has co-authored over 100 technical articles and 9 US patents. She has served as a TPC member for several high-profile network/system conferences, and as an associate editor of ACM Transactions on Sensor Networks.
Francesca A. Lisi
Assistant Professor in Computer Science at the University of Bari, Italy. Member of the Board of Directors of the Italian Association for Artifiicial Intelligence (AI*IA).
Ivor W Tsang
Ivor W Tsang is a Professor of Artificial Intelligence, at University of Technology Sydney (UTS). He is also the Research Director of the UTS Flagship Research Centre for Artificial Intelligence (CAI) with more than 30 faculty members and 180 PhD students. His research focuses on transfer learning, feature selection, crowd intelligence, big data analytics for data with extremely high dimensions in features, samples and labels. He has more than 180 research papers published in top-tier journal and conference papers. According to Google Scholar, he has more than 13,000 citations and his H-index is 54. In 2009, Prof Tsang was conferred the 2008 Natural Science Award (Class II) by Ministry of Education, China, which recognized his contributions to kernel methods. In 2013, Prof Tsang received his prestigious Australian Research Council Future Fellowship for his research regarding Machine Learning on Big Data. In addition, he had received the prestigious IEEE Transactions on Neural Networks Outstanding 2004 Paper Award in 2007, the 2014 IEEE Transactions on Multimedia Prize Paper Award, and a number of best paper awards and honors from reputable international conferences, including the Best Student Paper Award at CVPR 2010. He serves as an Associate Editor for the IEEE Transactions on Big Data, the IEEE Transactions on Emerging Topics in Computational Intelligence and Neurocomputing. He serves as an Area Chair/Senior PC for NeurIPS, AISTATS, AAAI and IJCAI.
Gopikrishna Deshpande
Prof. Gopikrishna Deshpande is a Professor of Electrical and Computer Engineering at Auburn University. He obtained his Ph.D. in Medical Imaging from Georgia Institute of Technology and his M.S. in Electrical and Computer Engineering from the Indian Institute of Science.
Prof. Deshpande's research interests and expertise include neuroimaging, functional magnetic resonance imaging (fMRI), brain connectivity, signal/image processing and machine learning.
Eui-Nam Huh
Dr. Eui-Nam Huh is a Professor within the Department of Computer Science and Engineering at Kyung Hee University, South Korea.
His expertise is focused on cloud computing and machine learning.
Zheng Yuan
Dr. Zheng Yuan is a Lecturer in Artificial Intelligence (Natural Language Processing) at Kings College London.
Dr. Yuan holds a PhD and an MPhil from the University of Cambridge, and a BSc in Engineering from Queen Mary University of London and Beijing University of Posts and Telecommunications. Before joining King’s, Zheng was a Research Associate at the University of Cambridge, where she is still a Visiting Researcher.
Her research interests include, Educational NLP, Language acquisition, Multilingual NLP, Machine translation, Neural networks and deep learning, Transfer and multi-task learning, Unsupervised and semi-supervised learning, and Explainable machine learning.
Gregory M Kapfhammer
Focusing on software engineering, software testing, and data science, Gregory M. Kapfhammer is an Associate Professor of Computer Science at Allegheny College.
Yann LeCun
Director of Facebook AI Research (2013-) and Silver Professor at New York University (2003-), affiliated with: Courant Institute, Center for Data Science, Center for Neural Science, and ECE Dept. Founding director of the NYU Center for Data Science (2012-2014); Fellow,NEC Research Institute (2002-2003); Head, Image Processing Research AT&T Labs (1996-2002); Research Scientist Bell Laboratories (1988-1996).