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.
Meeyoung Cha
Meeyoung Cha is an associate professor at Graduate School of Culture Technology in KAIST. Her research interests are in the analysis of large-scale online social networks. She received the best paper award from the Usenix/ACM SIGCOMM Internet Measurement Conference 2007 for her work on YouTube and the International Conference on Weblogs and Social Media 2012 for her work on social conventions. Her research has been featured at NYT and HBR.
Armin R Mikler
Armin R. Mikler is a Professor and Chair of the Department of Computer Science at Georgia State University. He received his PhD in Computer Science from Iowa State University in 1995. As a professor of Computer Science and Engineering at the University of North Texas from 1997 -2020, Dr. Mikler directed the Center for Computational Epidemiology and Response Analysis (CeCERA).
His research interests include Computational Epidemiology and Disaster Informatics with focus on data-driven response plan design and plan optimization. Dr. Mikler’s research on response plan design and analysis is supported by the Texas Department of State Health Services (DSHS), the National Science Foundation (NSF), and the National Institutes of Health (NIH). He has supervised over 40 PhD and MS theses and has published over 100 research articles related to a range of topics, including distributed systems, networking, computational epidemiology, and response plan design and analysis.
Kjiersten Fagnan
Kjiersten Fagnan joined the JGI in 2012 after completing a petascale postdoctoral fellowship at NERSC and CRD. In 2014 Fagnan became the JGI-NERSC Engagement Lead with a focus on adapting JGI workloads to run on supercomputing hardware. She is also working to understand the data-intensive nature of JGI workloads. Fagnan earned her PhD in Applied Mathematics at the University of Washington in 2010 and her BA from UC Berkeley in 2002.
Luc Moreau
Luc Moreau is a Professor of Computer Science, Head of the Web and Internet Science group (WAIS), and Deputy Head (Research and Enterprise) of ECS-Electronics and Computer Science at the University of Southampton.
Luc was co-chair of the W3C Provenance Working Group, which resulted in four W3C Recommendations and nine W3C Notes, specifying PROV, a conceptual data model for provenance the Web, and its serializations in various Web languages.
Alexander C Nwala
Dr. Alexander C. Nwala is an assistant professor of Data Science at William and Mary (W&M). Before joining W&M, he was a postdoc at the Observatory on Social Media, Indiana University, Bloomington, with a research focus on dis/misinformation diffusion, detection, and countering of online manipulation. He received his PhD in Computer Science at Old Dominion University and has contributed multiple important tools and datasets to the data/web science, social media, (local) news, and web archiving communities.
Dr. Nwala has taught Computer Science courses to High School, Undergraduate, and Graduate students and has collaborated across disciplines and institutions, including with computer scientists/journalists at IU, archivists at the National Library of Medicine, and lawyers at Harvard. And his research has been published in multiple peer-reviewed Journals and Conferences.
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)
Biju Issac
Dr Biju Issac is a Computer Science academic staff working at Northumbria University, UK. He has done PhD in Networking and Mobile Communications, MCA (Master of Computer Applications) and BE (Electronics and Communications Engineering). He is a Chartered Engineer (CEng), Senior IEEE member and Fellow of HEA. His research interests are in Wireless Networks, Cybersecurity, AI/Machine Learning applications (security, image processing, text mining etc) and Bio-inspired metaheuristic algorithms. His personal research website: https://www.bijuissac.com/
Louise A Dennis
Louise Dennis is a Senior Lecturer at the University of Manchester.
Her background is in artificial intelligence and more specifically in agent and autonomous systems and automated reasoning. She has worked on the development of several automated reasoning and theorem proving tools, most notably the Agent JPF model checker for BDI agent languages; the lambda-clam proof planning system (also archived at the Theorem Prover Museum); and the PROSPER Toolkit for integrating an interactive theorem prover (HOL) with automated reasoning tools (such as SAT solvers) and Case/CAD tools. More recently she has investigated rational agent programming languages and architectures for autonomous systems, with a particular emphasis on verifiable systems and ethical reasoning.
Feiping Nie
Feiping Nie's research interests are machine learning and its application. He has published more than 100 papers in the following journals and conferences: TPAMI, IJCV, TIP, TNNLS/TNN, TKDE, TKDD, TVCG, TCSVT, TMM, TSMCB/TC, Machine Learning, Pattern Recognition, Medical Image Analysis, Bioinformatics, ICML, NIPS, KDD, IJCAI, AAAI, ICCV, CVPR, SIGIR, ACM MM, ICDE, ECML/PKDD, ICDM, MICCAI, IPMI, RECOMB. According to Google scholar, his papers have been cited more than 2000 times.
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.
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.