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.
Li-minn Ang
Li-minn Ang is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC). His research interests are in computer, electrical and systems engineering including Internet of Things (IoT), intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, and health.
Juro Gregan
- associate professor, Dept. of Genetics, Comenius University in Bratislava, Slovakia
- group leader, MFPL, Dept. of Chromosome Biology, University of Vienna, Vienna, Austria
- postdoctoral researcher, IMP (Research Institute of Molecular Pathology), Vienna, Austria (K. Nasmyth lab)
- postdoctoral researcher, Dept. of Zoology, Univ. of Oxford, Oxford, UK (S. Kearsey lab)
- PhD study, Dept.of Microbiology and Genetics, Univ. of Vienna, Vienna, Austria (R. Schweyen lab)
Filipi Nascimento Silva
Dr. Filipi Silva is a Research Scientist at the Observatory on Social Media (OSoMe), Indiana University. With a Ph.D. in Computational Physics from the University of São Paulo, his expertise lies in the intersection of complex networks, machine learning, text analysis and data visualization. Dr. Silva's research includes contributions to many fields, from bioinformatics, to digital art representation. He is the developer of Helios-Web, a state-of-the-art network visualization tool. And his current interests include mapping science, detecting suspicious activities and uncovering narratives in social media data.
Ranjit Vijayan
Dr. Ranjit Vijayan obtained his PhD in Life Sciences Interface/Biochemistry from the University of Oxford, UK, and his DipGrad in Management from the London School of Economics & Political Science, University of London, UK. In 2004 Dr Vijayan obtained his MSc in Computer Science from the University of Wales, Aberystwyth, UK, and prior to this his BEng in Electrical & Electronic Engineering, Nanyang Technological University, Singapore.
Dr. Vijayan's research interests include; molecular dynamics simulations of biological macromolecules, protein structure modeling, structure based drug discovery, genomics & transcriptomics, pharmacogenomics and high-performance computing.
Xiaolong Li
Dr. Xiaolong Li is Professor and Chair of the Department of Electronics and Computer Engineering Technology at the Indiana State University. He received his PhD from Department of Electrical and Computer Engineering at the University of Cincinnati in 2006. He obtained his Bachelor degree and Master degree from Department of Electronic and Information Engineering at Huazhong University of Science and Technology, China. Dr. Li began his teaching and research with the Morehead State University in 2006 where he taught various courses in electronics and wireless communications. In 2008, Dr. Li joined the Indiana State University where he taught courses in Electronics and Computer Engineering, such as C programming, digital electronics, computer networking, networking security, etc. Dr. Li’s primary areas of research including modeling and performance analysis of Data mining, Internet of Things, Wireless Ad Hoc networks and sensor networks. He has published more than forty journal and proceedings articles in the above fields. He has served as topical editor and special issue editor for multiple journals. He also served as general chair and technical program committee chairs for multiple international conferences.
Vincent Chen
Dr. Vincent Chen's research is dedicated to advancing biomedical applications in physical rehabilitation, with a primary emphasis on neuromodulation, biomechanics, sports, and wellness. Positioned at the crossroads of engineering and healthcare, his work tackles significant challenges while cultivating a collaborative and innovative environment. The overarching objective is to methodically explore mechanisms of the human body, systematically isolating neurological or musculoskeletal problems to discern optimal and targeted solutions. This systematic approach seeks to furnish clinicians with a comprehensive understanding of specific disorders, particularly those that may profoundly affect an individual's well-being.
Qinggang Meng
Dr. Qinggang Meng is a Professor of Robotics and Artificial Intelligence in the Department of Computer Science, Loughborough University. He obtained his PhD from the Department of Computer Science, UWA in the area of AI and robotics.
Dr. Meng's research interests in robotics, unmanned aerial vehicles, driverless vehicles, networked systems, ambient assisted living, computer vision, AI and pattern recognition, machine learning and deep learning, both in theory and applications.
John D Owens
Professor of Electrical and Computer Engineering at UC Davis. At Davis, I lead a research group of amazing students with a focus on GPU computing, including fundamental algorithms and data structures; applications; multi-GPU computing; and programming models and implementations.
Daniel Grosu
Daniel Grosu is an Associate Professor in the Department of Computer Science at Wayne State University. His research focuses on cloud and edge computing, parallel and distributed algorithms, approximation algorithms, and topics at the intersection between computer science, game theory and economics.
Yangming Lee
Dr. Lee is an Assistant Professor with Rochester Institute of Technology,
Rochester, NY, USA. Before this appointment, he held the positions as an Acting Instructor with the University of Washington, Associate Professor with the Institute of Intelligent Machines, Chinese Academy of Sciences, and Post Doc with the University of Michigan.
Robert H McDonald
Robert H. McDonald is Dean of University Libraries and Professor of Library Administration. He is responsible for leading the Boulder campus library system in fulfilling their mission to inspire learning, research, and discovery by connecting knowledge, information, and people.
His expertise and interests include teaching and learning technologies that enable libraries to better support researchers at all levels, open source software development, scholarly communications, and new model publishing. Robert has also been an active proponent of diversity initiatives in libraries throughout his career and is committed to creating library spaces that are welcoming, diverse and inclusive for all of our Library users.
Tossapon Boongoen
Dr Tossapon Boongoen obtained his PhD in Computer Science from Cranfield University, UK (in 2003), and his 2-year PostDoc in Aberystwyth University, UK (2007-08). His research interest includes AI, machine/deep learning, image analysis and pattern recognition, fuzzy systems and security. He serves as an Associate Editor for several international journals like IEEE Access.