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.
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.
Zhiyi Li
Dr. Zhiyi Li received his Ph.D. degree in Electrical Engineering from Illinois Institute of Technology in 2017. He received an M.E. degree in Electrical Engineering from Zhejiang University (Hangzhou, China) in 2014 and a B.E. degree in Electrical Engineering from Xi’an Jiaotong University (Xi’an, China) in 2011. From August 2017 to May 2019, he was a senior research associate at Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology. Since June 2019, he has been with the College of Electrical Engineering, Zhejiang University(Hangzhou, China) as a research professor. His research interests lie in the application of state-of-the-art optimization and control techniques in smart grid design, operation and management with a focus on cyber-physical security. He has already authored/co-authored over 60 refereed journal articles in these areas. He is an associate editor of 4 other international journals (IEEE Access, Journal of Modern Power Systems and Clean Energy, Journal of Electrical Engineering and Technology, and IET Journal of Engineering) and a reviewer of over 30 international journals (including IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, and IEEE Transactions on Power Delivery).
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.
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.
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.
Ana Tereza Ribeiro de Vasconcelos
Ana Tereza Vasconcelos is Senior Researcher Scientist at the National Laboratory for Scientific Computing and coordinator of the Bioinformatics Laboratory and the Computational Genomics Unit Darcy Fontoura de Almeida at National Laboratory of Scientific Computation (LNCC). Her team has experience in the area of Bioinformatics and Computational Biology. Using High Performance Computing and AI working on the following topics: Genomics, Development of software applications in Bioinformatics and computational tools applied assembly, annotation and comparison of genomes, metagenomics, exomes and transcriptomics applied to many different model organisms. Since 2020 he has worked in the generation and analysis of SARS-CoV-2 genomes, mainly in the identification of new lineages.
Schahram Dustdar
Schahram Dustdar is Full Professor of Computer Science heading the Distributed Systems Group at the Vienna University of Technology (TU Vienna). He is a member of the Academia Europaea: The Academy of Europe (since 2013) and an IEEE Senior Member (2009). He is recipient of the ACM Distinguished Scientist award (2009) and the IBM Faculty Award (2012). He is member of the editorial boards of IEEE Computer and IEEE Internet Computing. He is Editor in Chief of Computing (Springer).
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.
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).