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.
Stephen Marsland
Stephen Marsland is a professor of mathematics at Victoria University of Wellington, New Zealand. He works on mathematics of conservation biology, particularly birdsong analysis, on differential geometry of machine learning, diffeomorphic shape analysis, and game theory.
Yi-Hsuan Tsai
Yi-Hsuan Tsai is the Director of AI at Phiar, leading the AI team to conduct cutting-edge research for real-world AR navigation. He was a senior researcher at NEC Laboratories America, working on fundamental computer vision/deep learning research. He received his PhD at University of California, Merced, honored with the Graduate Dean's Dissertation Fellowship. Prior to that, he received his MS at University of Michigan, Ann Arbor and BS at National Chiao Tung University, Taiwan. He is the recipient of the Best Student Paper Honorable Mention award for ACCV'18. He has various research interests in computer vision and machine learning, with a focus on scene understanding, video analysis, fairness of AI, and representation learning.
Cynthia E Irvine
Cynthia Irvine is a Distinguished Professor of Computer Science and Director of the Center for Information Systems Security Studies and Research (CISR) at the Naval Postgraduate School. Her research centers on the design and construction of secure, highly trustworthy systems, cyber systems and operations. In 2015 she was inducted into the Cybersecurity Hall of Fame.
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.
Andrea Omicini
I am Full Professor at the Alma Mater Studiorum, the University of Bologna. As a researcher, I am currently working on multi-agent systems, intelligent systems engineering, computational logic, explainable AI, agreement technologies. As a professor, I am currently teaching distributed systems, multi-agent systems, and intelligent systems engineering.
Anne Reinarz
Dr. Anne Reinarz is an Assistant Professor at Durham University in the Scientific Computing Group. Her research is at the interface of three main areas: Application science (mechanical engineering, astrophysics and seismology), numerical methods development (fast solvers, high performance computing) and uncertainty quantification.
Anna Rita Fasolino
Anna Rita Fasolino received the Laurea degree in Electronic Engineering in 1992 and a Ph.D. in Electronic and Computer Engineering in 1996 by the University of Naples “Federico II”. Since 2005 she is an Associate Professor of Software Engineering at the same University. Her research interests include Software Maintenance and Testing, Reverse Engineering, Web Engineering, and Embedded Software Engineering. She published more than 100 scientific papers in the field of software engineering.
Hossein Rahmani
Hossein Rahmani received his B.Sc. degree in computer software engineering from the Isfahan University of Technology, Isfahan, Iran, in 2004, an M.Sc. degree in software engineering from Shahid Beheshti University, Tehran, Iran, in 2010, and a Ph.D. degree from The University of Western Australia, in 2016.
He has published several papers in top conferences and journals such as CVPR, ICCV, ECCV, and the IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. He is currently an Associate Professor (Lecturer) with the School of Computing and Communications, Lancaster University. Before that, he was a Research Fellow at the School of Computer Science and Software Engineering, The University of Western Australia. His research interests include computer vision, action recognition, 3D shape analysis, and machine learning.
Ankit Vishnoi
Dr. Ankit Vishnoi is an Associate Professor in the Department of Computer Science & Engineering at Graphic Era (Deemed to be) University, Dehradun, India. With more than two decades of combined academic and industry experience, he has established himself as a leading researcher in cybersecurity, artificial intelligence, IoT ecosystems, and advanced healthcare analytics. Prior to his academic career, he worked with IBM India Pvt. Ltd., contributing to large-scale enterprise solutions and gaining extensive expertise in applied machine learning and secure systems design.
Dr. Vishnoi has published over 30 peer-reviewed research papers in reputed journals and international conferences and has served in key leadership roles for multiple IEEE, Springer, and EAI conferences, including Convener, Co-Convener, Organizing Secretary, and Track Chair. He is actively involved in editorial and review responsibilities for several Scopus-indexed and SCI journals.
His current research focuses on AI-driven cybersecurity frameworks, deep learning for medical imaging, smart contract vulnerability detection, and human–computer interaction models. He also mentors research scholars across emerging domains and contributes to interdisciplinary innovation and technology-driven community development initiatives.
Héctor Alaiz Moretón
Héctor Alaiz-Moretón received his degree in Computer Science, performing the final Project at Dublin Institute of Technology, in 2003. He received his PhD in Information Technologies in 2008 (University of Leon). He has worked as a lecturer since 2005 at the School of Engineering at the University of Leon.
His research interests include knowledge engineering, machine and deep learning, networks communication, and security.
He has several works published in international conferences, as well as books, more than 90 scientific publications between JCR papers, Lecture Notes and Scientific Workshops. He has been a member of scientific committees in conferences. He has headed several PhD Thesis and research competitive projects. He is also the vice main of RIASC (Institute of Applied Sciences to Cybersecurity).
Prashant Shenoy
Prashant Shenoy is currently a Professor of Computer Science at the University of Massachusetts Amherst. His research
interests lie in distributed systems and networking, with a recent emphasis on cloud and green computing. He is a distinguished member of the ACM and a fellow of the IEEE.
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.