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.
Matt Duckham
Matt is a Professor of Geospatial Sciences, RMIT University, and Director of the RMIT Information in Society EIP (Enabling Impact Platform). Prior to moving to RMIT University in 2015, Matt was a Professor at the University of Melbourne, where he had also held an ARC Future Fellowship (2010-2014). He moved to Australia in 2004 from the US NCGIA (National Center for Geographic Information and Analysis) at the University of Maine, USA.
His research is connected with spatial reasoning and computing with uncertain and imperfect geospatial information, with applications to defence, emergency response, transportation, and environmental monitoring. Matt is an author of the widely used university textbook "GIS: A Computing Perspective" now in its third edition.
Syed M. Anwar
Associate Professor at the Department of Software Engineering, University of Engineering and Technology, Taxila. PhD from University of Sheffield, UK and Fulbright Fellow at University of Central Florida, USA
Baochun Li
Baochun Li received the B.Engr. degree from the Department of Computer Science and Technology, Tsinghua University, China, in 1995 and the M.S. and Ph.D. degrees from the Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, in 1997 and 2000. Since 2000, he has been with the Department of Electrical and Computer Engineering at the University of Toronto, where he is currently a Professor. He is a member of ACM and a Fellow of IEEE.
Zhaojie Ju
Zhaojie Ju (M'08-SM'16) received a BSc degree in automatic control and a MSc degree in intelligent robotics from the Huazhong University of Science and Technology, China. He received a Ph.D. degree in intelligent robotics from the University of Portsmouth, U.K. He held research appointments at University College London, London, U.K., before he started his independent academic position at the University of Portsmouth, in 2012. He has authored or co-authored over 200 publications in journals, book chapters, and conference proceedings, and received five Best Paper Awards, one book award, and one Best AE Award in ICRA2018. His research interests include machine intelligence, pattern recognition and their applications on human motion analysis, multi-fingered robotic hand control, human–robot interaction and collaboration, and robot skill learning.
Patricio Ramirez-Correa
Patricio Ramirez-Correa is an accomplished Professor at the Catholic University of the North in Chile, with a Ph.D. in Business, an M.Sc. in Marketing, an M.A. in Management, and a B.Sc. in Computer Engineering. His expertise lies in information technology, specifically in understanding its impact on organizational and individual levels. He is also a Visiting Professor at the University of Seville and the University of the Bío Bío.
Dr. Ramirez-Correa's research focuses on technology acceptance models and data science, and he has collaborated with researchers worldwide throughout his career. His contributions to the field of information technology are significant, having authored over one hundred papers in international journals, including highly reputable publications such as Technological Forecasting and Social Change, Computers & Education, Telematics and Informatics, Journal of Research in Interactive Marketing, and Industrial Management & Data Systems.
Dr. Ramirez-Correa's experience as an academic editor, guest editor, and reviewer for various journals has further solidified his knowledge and expertise in the field. In 2022, he was recognized by Stanford University as one of the top 2% most-cited researchers, a testament to his commitment to advancing the field of information technology through rigorous research and collaboration with colleagues worldwide.
Kezhi Wang
Kezhi Wang received his Ph.D. degree from the University of Warwick, U.K. He was a Senior Research Officer in University of Essex, U.K. Currently He is a Senior Lecturer with Department of Computer Science, Brunel University, U.K.
Virginia Dignum
Virginia Dignum is an associate professor at Delft University of Technology. She got her PhD in 2004. Her research focuses on agent based models of organizations, and the interaction between people and intelligent systems and teams. In 2006, she was awarded the prestigious Veni grant from NWO. She is involved in several projects, has more than 180 peer-reviewed publications, yielding a h-index of 25. She is vice-chair of the Benelux AI Association and co-chair of the ECAI conference in 2016.
Perry Alexander
AT&T Distinguished Professor of Electrical Engineering and Computer Science and Director of the Information and Telecommunication Technology Center at the University of Kansas; Senior Member IEEE; Senior Member ACM; Past Chair IEEE Engineering of Computer-Based Systems Technical Committee.
Maria Navarro-Caceres
Dr. Maria Navarro-Caceres is an Associate Professor and Computer Scientist at the University of Salamanca.
She is interested in ML and DL proposals, and also in the application of computing technologies to artistic and musical perspectives.
Tamara Sumner
I lead an interdisciplinary research and development lab that studies how computational tools - combining cognitive science, machine intelligence, and interactive media - can improve teaching practice, learning outcomes and learner engagement. Inquiry Hub, formerly known as Digital Learning Sciences, is a mission-centered, research-practice partnership involving faculty and students from the University of Colorado Boulder, scientific and technical staff from the University Corporation for Atmospheric Research (UCAR), and educators and administrators from Denver Public Schools. Our research and development team combines expertise in cognitive science, learning sciences, science education, user-centered design and evaluation, digital content management, software engineering, educational data mining, and machine learning/natural language processing.
I am also a Professor at the University of Colorado, with a joint appointment between the Institute of Cognitive Science and the Department of Computer Science. I am currently serving as the Director of the Institute of Cognitive Science. My research and teaching interests include personalized learning, learning analytics, cyber learning environments, educational digital libraries, scholarly communications, human centered computing, and interdisciplinary research methods for studying cognition. I have written 140 articles on these topics, including over 80 peer-reviewed scholarly publications.
Giancarlo Succi
Prof. Giancarlo Succi is a Professor within the Department of Computer Science and Engineering at the University of Bologna, Italy. He is also the Dean at Constructor University in Bremen, Germany.
His research interests include Software Engineering and Visual Analytics.
Felipe G Naveca
I am a microbiologist with experience in classical and molecular techniques applied to the study of human pathogens, mainly threatening RNA and DNA viruses. My research focuses on developing diagnostic tools, molecular epidemiology, and evolution, mostly on emergent and reemergent viruses. My team approaches include genomics and phylogenetic studies to characterize known and unknown viruses; field studies on arboviral emergence in a rural area in the Brazilian Amazon; immunogenetics studies related to susceptibility or resistance against microbial infections; studies on biomarkers of acute viral illness; in vitro & in vivo virus-host interactions and evolution; and SARS-CoV-2 and other respiratory viruses molecular epidemiology. Senior investigator of Fiocruz Amazonas and Deputy Director of Research and Innovation. Member of the Brazilian Society for virology since 1997. Member of the Brazilian network of specialists in Zika and correlated diseases.