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.
Waqar Shahid Qureshi
Dr. Waqar Shahid Qureshi is an applied AI researcher and engineer with over 22 years of professional experience across academia, research, and industry. His interdisciplinary expertise lies in artificial intelligence, computer vision, robotics, and intelligent sensing systems, with a strong emphasis on real-world deployment in precision agriculture, consumer electronics, and civil infrastructure.
Maria Csernoch
Received her teacher degree in mathematics, descriptive geometry, informatics and English, her B.Sc. in software engineering and lean management, Ph.D. in mathematics and computer sciences, and Dr. habil. degree in applied linguistics from the University of Debrecen, Hungary. She currently works as an Associate Professor at the Faculty of Informatics, University of Debrecen. Her research interests include didactics of Informatics, specializing in developing computational thinking skills, knowledge-transfer, subject integration, digital sustainability, and lean computing education.
Una May OReilly
Principal Research Scientist, Computer Science and Artificial Intelligence Lab, MIT. Leader, AnyScale Learning for All (ALFA) group. Vice-Chair ACM SigEvo, Fellow of ISGEC, 2013 EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe
Joemon Jose
Joemon Jose is a professor at the School of Computing Science, University of Glasgow. His research interests are in information retrieval, multimedia retrieval, and affective search systems.
Kei Eguchi
Prof. Kei Eguchi is a Professor within the Department of Information Electronics at Fukuoka Institute of Technology, Japan.
His areas of research include Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) and Electronic devices and equipment.
Federico Manuri
Federico Manuri received the B.Sc., M.Sc., and Ph.D. degrees in computer engineering from Politecnico di Torino, Torino, Italy, in 2008, 2011, and 2017, respectively all in computer engineering. He is currently an Assistant Professor with the Department of Control and Computer Engineering, Politecnico di Torino.
Gopikrishna Deshpande
Prof. Gopikrishna Deshpande is a Professor of Electrical and Computer Engineering at Auburn University. He obtained his Ph.D. in Medical Imaging from Georgia Institute of Technology and his M.S. in Electrical and Computer Engineering from the Indian Institute of Science.
Prof. Deshpande's research interests and expertise include neuroimaging, functional magnetic resonance imaging (fMRI), brain connectivity, signal/image processing and machine learning.
Kamran Shaukat
Dr Kamran Shaukat is a Senior Learning Facilitator at Torrens University Australia and a researcher in the Centre for Artificial Intelligence Research and Optimisation. With more than 12 years of teaching and research experience, he specialises in artificial intelligence, machine learning, deep learning, cybersecurity, malware detection and health informatics. Kamran is recognised in the top 2% of researchers globally, with more than 75 peer-reviewed publications, four authored books, an h-index of 36 and over 5,600 citations. He has demonstrated excellence in curriculum development, PhD supervision and international academic collaboration, and is committed to leading industry-relevant programs and interdisciplinary research. Kamran holds a PhD in Computer Science and a Master of Science in Computer Science, and is a member of both ACM and IEEE.
Eui-Nam Huh
Dr. Eui-Nam Huh is a Professor within the Department of Computer Science and Engineering at Kyung Hee University, South Korea.
His expertise is focused on cloud computing and machine learning.
Zheng Yuan
Dr. Zheng Yuan is a Lecturer in Artificial Intelligence (Natural Language Processing) at Kings College London.
Dr. Yuan holds a PhD and an MPhil from the University of Cambridge, and a BSc in Engineering from Queen Mary University of London and Beijing University of Posts and Telecommunications. Before joining King’s, Zheng was a Research Associate at the University of Cambridge, where she is still a Visiting Researcher.
Her research interests include, Educational NLP, Language acquisition, Multilingual NLP, Machine translation, Neural networks and deep learning, Transfer and multi-task learning, Unsupervised and semi-supervised learning, and Explainable machine learning.
Yann LeCun
Director of Facebook AI Research (2013-) and Silver Professor at New York University (2003-), affiliated with: Courant Institute, Center for Data Science, Center for Neural Science, and ECE Dept. Founding director of the NYU Center for Data Science (2012-2014); Fellow,NEC Research Institute (2002-2003); Head, Image Processing Research AT&T Labs (1996-2002); Research Scientist Bell Laboratories (1988-1996).
Md Zia Uddin
DR. MD ZIA UDDIN received his bachelor’s degree in computer science and engineering from International Islamic University Chittagong, Bangladesh, in 2004. He then completed his MS Leading to PhD degree in Biomedical Engineering from Kyung Hee University, South Korea, in 2011. Currently, he is a senior research scientist
in the human-computer interaction group at SINTEF Digital, Oslo, Norway, where he continues contributing to his research field. His research primarily focuses on data and feature analysis, physical and mental healthcare, human-machine interaction, pattern recognition, deep learning, and artificial intelligence. His innovative work has been published in prestigious journals such as Information Fusion, IEEE Transactions on Consumer Electronics, and Future Generation Computer Systems, showcasing his peers’ high regard for his research. His research outcomes have earned him best/outstanding paper awards at several peer-reviewed international conferences. He received a Gold Medal Award in 2008 for academic excellence in his undergraduate studies. He was also awarded the Korean Government IT Scholarship and the Kyung Hee University President Scholarship from March 2007 to February 2011 to pursue his PhD. He has extensive teaching experience, having taught more than 20 computer science-related courses at various academic levels, from bachelor’s to PhD, and supervised many students’ research works at these levels as well. He is a senior member of IEEE. He has been editors any several prestigious journals such as PLOS One, Sensors, IEEE Access, and the International Journal of Computers and
Applications, Frontiers in Human Neuroscience, and a keynote speaker at various international conferences. Dr. Zia has over 170 research publications (around half as the leading author), including international journals, conferences, book chapters, and single-authored books. His Google Scholar citations are more than 6000. He has led work packages and tasks in many national and international research projects. His significant contributions
have earned him recognition in the World’s Top 2% Scientists (career-long and single-year-based), a list by Stanford University and Elsevier BV.