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.
Stefan Güttel
Stefan Güttel is Professor of Applied Mathematics at the University of Manchester. His work focuses on computational mathematics, including numerical algorithms for large-scale linear algebra problems arising with differential equations and in data science. He has been awarded the 2021 SIAM James H. Wilkinson Prize in Numerical Analysis and Scientific Computing, the 2023 Taussky–Todd Prize of the International Linear Algebra Society, and holds a Royal Society Industry Fellowship.
Tarek Gaber
Tarek Gaber is a Senior Lecturer (Associate Professor) at the University of Salford (UK) and a Full Professor of Computer Science at Suez Canal University (Egypt). He has over two decades of academic and research experience across cybersecurity, artificial intelligence (AI), secure systems, and Safe AI. His work focuses on developing resilient AI models, secure digital infrastructures, and innovative applications for industry and public sector transformation. Dr. Gaber has authored over 100 scholarly publications, including journal articles, conference papers, book chapters, and edited volumes — with more than 40 published in Q1 journals. He has led or co-led research projects exceeding £6 million in funding, supported by Innovate UK, UKRI, Research England, and UKAEA. His research excellence has earned him recognition among Stanford University’s top 2% of scientists globally. He has served as Programme Leader for the MSc Cyber Security programme at Salford, contributed to several Knowledge Transfer Partnerships (KTPs), and engaged in interdisciplinary projects with SMEs to deploy secure and explainable AI solutions. Dr. Gaber is a Fellow of the UK Higher Education Academy (FHEA), a member of IEEE, and frequently serves as a keynote speaker, journal reviewer, and editorial board member in his field.
Takayuki Kanda
Takayuki Kanda is a Group Leader at ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan. He is one of the starting members of Communication Robots project at ATR. He has developed a communication robot, Robovie, and applied it in daily situations, such as peer-tutor at elementary school and a museum exhibit guide. His research interests include human-robot interaction, interactive humanoid robots, and field trials.
Marco Dorigo
Research director for the Belgian F.R.S.-FNRS and co-director of IRIDIA, the AI lab of the Université Libre de Bruxelles. Editor-in-Chief, Swarm Intelligence, Springer. Recipient of: Italian Prize for Artificial Intelligence (1996), Marie Curie Excellence Award (2003), Dr. A. De Leeuw-Damry-Bourlart award in applied sciences (2005), Cajastur International Prize for Soft Computing (2007), ERC Advanced Grant (2010), and IEEE Frank Rosenblatt Award (2015). Elected Fellow of IEEE, AAAI, and ECCAI.
Luiz Gadelha
Luiz Gadelha works in the German Human Genome-Phenome Archive (GHGA) at the German Cancer Research Center (DKFZ) in Germany and the National Laboratory for Scientific Computing (LNCC) in Brazil. He received his D.Sc. degree in Computer and Systems Engineering from the Federal University of Rio de Janeiro, Brazil. He has been involved in the research and development of parallel and distributed scientific workflow management systems and scientific databases. He has participated in research projects in the bioinformatics and biodiversity application areas. His main research interests are scientific data management, computational reproducibility, and high performance computing.
Kristina Lerman
Kristina Lerman is a Project Leader at the Information Sciences Institute and holds a joint appointment as a Research Associate Professor in the USC Viterbi School of Engineering's Computer Science Department. Her research focuses on applying network-based and machine learning methods to problems in social data analysis and social computing.
Rebecca Wright
Rebecca Wright is a professor in the Computer Science Department and Director of DIMACS at Rutgers. Her research spans the area of information security, including cryptography, privacy, foundations of computer security, and fault-tolerant distributed computing, as well as foundations of networking. She is a member of the board of the Computer Research Association's Committee on the Status of Women in Computing Research (CRA-W).
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.
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.
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.
Licia Capra
Licia is a Reader (Associate Professor) in the Dept of Computer Science at University College London. She conducts research in the area of ubiquitous computing. Specific topics include: crowd-sourcing and crowd-sensing, urban computing, location-based services, recommender systems, data mining for development. The aim of her research is to provide developers with abstractions and algorithm to ease application development, and end users with better experiences when interacting with technology.