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.
Berdakh Abibullaev
Dr. Berdakh Abibullaev received his M.Sc. and Ph.D. in electronic engineering from Yeungnam University, South Korea. He held research scientist positions at Daegu-Gyeongbuk Institute of Science and Technology and Samsung Medical Center, Seoul. He is currently an Associate Professor at Robotics Department, Nazarbayev University, Kazakhstan. His research focuses on machine learning, neural signal processing and Brain-Computer/Machine Interfaces.
Jurgita Antucheviciene
Prof Jurgita Antucheviciene, PhD, Professor at the Department of Construction Management and Real Estate at Vilnius Gediminas Technical University, Lithuania. She received her PhD in Civil Engineering in 2005. Her research interests include multiple-criteria decision-making (MCDM) theory and applications, civil engineering, sustainable development.
Prof. Antucheviciene has over 150 publications in Clarivate Analytic (Web of Science, h=39). She is a member of IEEE SMC, Systems Science and Engineering Technical Committee: Grey Systems and of two EURO Working Groups: Multicriteria Decision Aiding (EWG - MCDA) and Operations Research in Sustainable Development and Civil Engineering (EWG - ORSDCE).
She is also Deputy Editor in Chief of "Journal of Civil Engineering and Management", Associate Editor of "Applied Soft Computing", Editorial Board Member of "Sustainability" and "Buildings", and Guest Editor of several special issues in "Mathematical Problems in Engineering", "Complexity", "Symmetry", "Sustainability", "Information", "Algorithms", "Applied Soft Computing".
Prof. Antucheviciene is among the World's Top 2% Scientists in the field of Artificial Intelligence
https://orcid.org/0000-0002-1734-3216
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.
Marco Lapegna
In 1991 Marco Lapegna received his PhD in Applied Mathematics and Computer Science at the University of Naples Federico II (Italy), and since 2001 is a professor of Computer Science at the Department of Mathematics and Applications of the same university.
His main research interests concern methods, algorithms, and software for parallel and distributed computing environments applied to computational mathematics and machine learning, taking into account the influence of the technological evolution on them (cluster computing, multicore computing, grid computing, cloud, and edge computing). He has an active academic life with several institutional coordination duties.
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.
Krista H Lagus
Krista H. Lagus is a Finnish professor and researcher specializing in artificial intelligence (AI), natural language processing (NLP), machine learning, and digital social science. She currently serves as a Professor of Digital Social Science at the University of Helsinki, where she integrates AI and digital methods with social sciences to analyze complex social behaviors.
Lagus earned her M.Sc. in Computer Science in 1996 and her Ph.D. in Computer and Information Sciences in 2000 from Helsinki University of Technology (now Aalto University). She has held various research positions, including Academy Research Fellow at the Finnish Academy of Sciences from 2006 to 2012. In 2019, she co-founded the Center for Social Data Science (CSDS) at the University of Helsinki and became its first director.
University of Helsinki
Her notable projects include WEBSOM, a method for visualizing large text collections using self-organizing maps; Citizen Mindscapes, which examines digital communication to gauge public opinion and societal trends; and Morfessor, an algorithm for unsupervised morphological analysis widely used in NLP. Her publications have appeared in leading journals such as IEEE Transactions on Neural Networks, Information Sciences, Neurocomputing, Artificial Intelligence Review, ACM Transactions on Speech and Language Processing, and Cognitive Science.
In addition to her research, Lagus teaches and supervises students in AI and digital social science, contributing to interdisciplinary research and education that leverages AI for societal benefit.
Bhavani Thuraisingham
Dr. Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and the Executive Director of the Cyber Security Research and Education Institute (CSI) at The University of Texas at Dallas. She is an elected Fellow of ACM, IEEE, the AAAS, the NAI (National Academy of Inventors) and the British Computer Society
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.
Shuo Wang
Shuo Wang is an Assistant Professor in the School of Computer Science, at the University of Birmingham, UK. Her research interests include data stream classification, class imbalance learning and ensemble learning approaches in machine learning, and their applications in social media analysis, software engineering and fault detection. Her work has been published in internationally renowned journals and conferences, such as IEEE Transactions on Knowledge and Data Engineering and International Joint Conference on Artificial Intelligence (IJCAI). In addition, she was a guest editor of Neurocomputing and Connection Science and the workshop organizer of IJCAI'17 and ECML/PKDD'21, '22. She is currently in the editorial board of International Journal of Computational Intelligence and Applications.
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.
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.