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.
Hae-Won Park
Hae-Won Park is an Assistant Professor of Mechanical Engineering at the Korea Advanced Institute of Science and Technology (KAIST). He received B.S. and M.S. degrees from Yonsei University, Seoul, Korea, in 2005 and 2007, respectively, and the Ph.D. degree from the University of Michigan, in 2012, all in mechanical engineering. His research interests lie at the intersection of control, dynamics, and mechanical design of robotic systems, with special emphasis on legged locomotion robots. He is the recipient of the 2018 National Science Foundation (NSF) CAREER Award, NSF most prestigious awards in support of early career faculty.
Laurent Najman
In 1998, he joined OCÉ Print Logic Technologies, as senior scientist. He worked there on various problem of image analysis dedicated to scanning and printing. In 2002, he joined the Informatics Department of ESIEE, Paris, where he is professor and a member of the Laboratoire d’Informatique Gaspard Monge, Université Paris-Est Marne-la-Vallée. His current research interest is discrete mathematical morphology and discrete optimization.
Mohammad Zavid Parvez
Mohammad Zavid Parvez is a scholar in computer science with over 16 years of academic and research experience spanning machine learning, biomedical signal processing, cybersecurity, and federated learning. He earned his PhD in Computer Science from Charles Sturt University, Australia, where his research focused on epileptic seizure detection and prediction using EEG signals, and has since held research positions at Charles Sturt University and the ISI Foundation (Italy). He has published extensively in leading journals, including IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, and Neurocomputing. He also serves as Topic Editor for Frontiers in Medicine. His current research interests include cyber threat intelligence, privacy-preserving medical data analysis, and AI-driven healthcare solutions.
Edith Cohen
Edith Cohen is (visiting) full professor at Tel Aviv University. Until 2014 she was a Principal Researcher at Microsoft Research (Silicon Valley) and between 1991 and 2012 she was at AT&T Labs. She received a Ph.D in Computer Science from Stanford University in 1991. Her research interests include algorithms, mining and analysis of massive data, optimization, and computer networking. She is a winner of the IEEE ComSoc 2007 Bennett prize, and an author of 20+ patents and 100+ publications.
Jun Huan
Dr. Jun (Luke) Huan is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. He directs the Data Science and Computational Life Sciences Laboratory at KU Information and Telecommunication Technology Center (ITTC). He holds courtesy appointments at the KU Bioinformatics Center, the KU Bioengineering Program, and a visiting professorship from GlaxoSmithKline plc. Dr. Huan received his Ph.D. in Computer Science from the University of North Carolina.
Dr. Huan's research is recognized internationally. He was a recipient of the prestigious National Science Foundation Faculty Early Career Development Award in 2009. His group won the Best Student Paper Award at the IEEE International Conference on Data Mining in 2011 and the Best Paper Award (runner-up) at the ACM International Conference on Information and Knowledge Management in 2009. His work appeared at mass media including Science Daily, R&D magazine, and EurekAlert (sponsored by AAAS). Dr. Huan's research was supported by NSF, NIH, DoD, and the University of Kansas.
Starting January 2016, Dr. Huan serves as a Program Director in NSF/CISE/IIS and is on leave from KU.
Ying Xu
Ying Xu received B.Eng, M.Eng, and PH.D. degrees from Harbin Institute of Technology, China, in 2003, 2005, and 2009, respectively. From 2009-2017, he had been a Senior Engineer in the North China Grid Dispatching and Control Center. He is a research scholar in the Department of Electrical and Computer Engineering, University of Central Florida, USA. His main research interests and experiences include power system analysis and control, system modeling and simulation, cooperative control, distributed control and optimization for networked systems.
Loren Terveen
Loren Terveen is a Professor of Computer Science at the University of Minnesota.
He has published over 100 scientific papers, holds 9 patents, has advised several startup companies, consulted on intellectual property cases, and has held many leadership positions in his profession.
He has chaired the leading conferences in Human-Computer Interaction and Social Computing, served on the Executive Committee of the ACM Special Interest Group for Computer-Human Interaction, and led the ACM Computer-Supported Cooperative Work community. He is a Distinguished Scientist of the ACM.
Terveen's current research emphases are: crowdsourcing, geographic-based online communities, and recommender systems.
Peter A. Ng
Dr. Peter Ng is Professor of Computer Science at Purdue University Fort Wayne and Fellow of the Society for Design and Process Science (SDPS). He has served as the Chair and Professor of Computer Science in the College of Information Science and Technology at the University of Nebraska at Omaha, NE (1998-2000), and in the College of Science and Arts at the New Jersey of Institute of Technology, Newark, NJ (1985-1998). He has served as the Executive Director for Global e-Learning Project at the International Programs and Studies of the University of Nebraska-Omaha (2000-2003) and as the Vice President for Fudan International Institute for Information Science and Technology, Shanghai, China (1999-2000). Dr. Ng received his Ph.D. in Computer Science from the University of Texas at Austin in 1974.
Yannis Papakonstantinou
Yannis Papakonstantinou is a Professor of Computer Science and Engineering at the University of California, San Diego. His research is in the intersection of data management technologies and the web. He was the CEO and Chief Scientist of Enosys Software, which built and commercialized an early EII that was sold under the BEA Aqualogic brand name.He is the inventor of seven patents and has been an expert in IP litigation cases multiple times.
María José Del Jesus
She received the M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Spain, in 1994 and 1999, respectively.
She is an Associate Professor with the Department of Computer Science, University of Jaén, Spain.
Her current research interests include evolutionary fuzzy systems, subgroup discovery, data preparation, neural networks, knowledge extraction based on evolutionary algorithms, and data science.
Director of the Intelligent Systems and Data Mining Research Group.
Xiao-Zhi Gao
Prof. Xiao-Zhi Gao is a Professor in the Faculty of Science and Forestry, School of Computing at the University of Eastern Finland, Finland.
His research interests include soft computing, machine learning, data mining and communications networks.
Mario Silic
Mario Silic brings over 30 years of international professional experience in senior management and consultancy roles. He has held leadership positions at global corporations including Epson, HP, Alcatel, Western Union, and Renault, and has advised prestigious organizations such as the City of Barcelona, AUDI, the City of Munich, and Ericsson.
He earned his PhD from the University of St. Gallen, Switzerland, where his research in cybersecurity was recognized and supported through multiple grants, including the GFF Project (2015), GFF Postdoctoral Fellowship (2016), and the Swiss National Science Foundation Postdoctoral Project Grant (2017). His scholarly work focuses on artificial intelligence, cybersecurity, information security, open-source software, and mobile technologies, with a notable contribution on mitigating insider computer abuse in cybersecurity contexts.
As an educator, Mario is passionate about bridging research and practice. He teaches a wide range of courses, including Cybersecurity, Applied AI and Machine Learning for Business, Data Analytics and Decision-Making, Programming, Project Management, Innovation Management, and Web Technologies. His teaching philosophy emphasizes practical application and preparing students to thrive in the fast-evolving digital economy.