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.
Jeonghwan Gwak
Dr. Jeonghwan Gwak received his Ph.D. degree in Machine Learning and Artificial Intelligence from Gwangju Institute of Science and Technology, Gwangju, Korea in 2014. From 2002 to 2007, he worked for several companies and research institutes as a Researcher and a chief technician. From 2014 to 2016, he worked as a Postdoctoral Researcher in GIST, and from 2016 to 2017 as a Research Professor. From 2017 to 2019, he was a Research Professor in Biomedical Research Institute & Department of Radiology at Seoul National University Hospital, Seoul, Korea. From 2019, he joined Korea National University of Transportation (KNUT) as an Assistant Professor and since 2021, he is an Associate Professor. He is the Director of the Algorithmic Machine Intelligence laboratory. His current research interests include deep learning, computer vision, image and video processing, AIoT, fuzzy sets and systems, evolutionary algorithms, optimization, and relevant applications of medical and visual surveillance systems.
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.
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.
Vincent A Cicirello
Dr. Vincent A. Cicirello is a Professor and Chair of Computer Science at Stockton University. He is also among the founding faculty of Stockton University's interdisciplinary Behavioral Neuroscience program. Dr. Cicirello earned his Ph.D. in Robotics from Carnegie Mellon University in 2003, and his M.S./B.S. in Computer Science and B.S. in Mathematics from Drexel University in 1999. His research interests include artificial intelligence, evolutionary computation, algorithms, machine learning, and computational intelligence. Dr. Cicirello is an ACM Senior Member, IEEE Senior Member, AAAI Life Member, and a member of SIAM.
Ian Taylor
Ian Taylor is a Reader Cardiff University. He has a strong track record specialising in the workflow and data distribution areas, with application in audio, astrophysics and healthcare. Ian wrote a 2nd edition professional distributed computing book (sold 2000+) and was lead editor for “Workflows for eScience”. Ian has guest edited for the Journal of Grid Computing and co-chaired the OGF Workflow Management Research Group. He has published 110 papers.
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.
Elhadj Benkhelifa
Prof. Elhadj Benkhelifa is a full Professor of Computer Science and Digital Innovations at Staffordshire University, where he is also the Head of Professoriate leading a large body of all Associate and Full Professors across the whole University with the mission to contribute, influence, shape and enable the collective advancement of the University’s strategies and develop excellence in T&L, research and enterprise. He is also a member of the University Research Ethics Committee.
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
Susan C. Herring
Professor of Information Science and Adjunct Professor of Linguistics at Indiana University Bloomington. Director, Center for Computer-Mediated Communication, Indiana University Bloomington. Editor, Language@Internet. Past editor, Journal of Computer-Mediated Communication.
Dr. Herring’s first intellectual passion was foreign languages. After being employed as a Graduate Student Instructor in the French Dept. and then the Linguistics Dept. at U.C. Berkeley in the 1980s, she was appointed as an Instructor in the Special Languages Program at Stanford University to teach Tamil in 1989. She was subsequently hired as an Assistant Professor in the English Department at Cal State University, San Bernardino, to teach discourse analysis, in 1989, and promoted to Associate Professor in 1992. In the same year, she moved to the University of Texas, Arlington, where she was an Associate Professor in Linguistics until 2000. During that time the Internet was expanding rapidly, and her research interests shifted from traditional linguistics towards computer-mediated communication. In 2000, she joined the School of Library and Information Science at Indiana University, and was promoted to Professor in 2002. She also holds an Adjunct Professor appointment in the Linguistics Dept. at Indiana University and is a Fellow in the Center for Research on Learning Technologies and a Fellow in the Center for Social Informatics.
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