Advisory Board and Editors Emerging Technologies

PeerJ Factsheet
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Pawel L. Urban

Pawel L. Urban received his MSc degree in biology from the University of Warsaw in 2002, and PhD degree in chemistry from the University of York in 2008. He conducted research stays in the University of Alcala, University of Warsaw, and ETH Zurich. The Urban’s laboratory was initially located in the National Chiao Tung University; then moved to the National Tsing Hua University. The team focuses on the development of enabling technologies for chemistry research and clinical analysis, their applications, as well as fundamental studies.

Julita Vassileva

Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.

Matthew W. Vaughn

Successful scientist and technology specialist with over a dozen years’ experience leading national-scale projects to develop and democratize advanced computing technologies and capabilities for researchers working in the fast-moving fields of biology and medicine. Combines insights from experience as an active researcher in genomics and genetics; strong proficiencies in requirements analysis, software product design, and user engagement; and a broad understanding of modern software and platform designs, capabilities, and trends to catalyze creation of tools and services that are transforming the lives of publicly funded researchers across the United States and around the world.

Jingbo Wang

Prof Wang's research spans several disciplines including quantum dynamics theory, quantum computation and information, atomic physics, and computational science. She has published extensively, including a recent book published by Springer, four book chapters, and numerous journal papers. Prof Wang currently leads the quantum dynamics and computation group at The University of Western Australia. She and her research team have developed advanced numerical techniques to solve problems in both quantum and classical domain.

Xiaodong Wang

Xiaodong Wang is a Research Assistant at University of Tennessee, Knoxville. His research focuses on computer networks and real-time systems

Robert Wille

Robert Wille received the Diploma and Dr.-Ing. degrees in computer science from the University of Bremen in 2006 and 2009, respectively. Since 2006, he is with the Group of Computer Architecture at the University of Bremen and, since 2013, with the German Research Center for Artificial Intelligence (DFKI). Additionally, he worked as Lecturer at the University of Applied Science in Bremen and as visiting professor at the University of Potsdam as well as the Technical University Dresden, Germany.

Robert Winkler

Robert Winkler is Principal Investigator of the Laboratory of Biochemical and Instrumental Analysis at the CINVESTAV Unidad Irapuato and faculty member for the postgraduate programs Plant Biotechnology and Integrative Biology. His research topics include novel mass spectrometry techniques such as low-temperature plasma ionization and covalent protein staining, new approaches in the high-throughput metabolomic profiling of plants, computational mass spectrometry and proteomics.

Feng Xia

Professor of Computer Science, Dalian University of Technology, China. Director of The Alpha Lab ( Senior Member of IEEE and ACM, and Member of AAAS.

Yu-Dong Zhang

From 2010 to 2012, Dr. Yudong (Eugene) Zhang worked at Columbia University as a postdoc. From 2012 to 2013, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he is a full professor and doctoral advisor at School of Computer Science and Technology at Nanjing Normal University. He also serves as the academic leader of the“Jiangsu key laboratory of 3D printing equipment and manufacturing”. At present, he is a Professor in Knowledge Discovery and Machine Learning, in Department of Informatics, University of Leicester, United Kingdom. His research interests focus on computer-aided medical diagnosis and biomedical image processing.

Wenbing Zhao

My primary expertise is in the field of dependable distributed system where I have published extensively on Byzantine fault tolerance, intrusion tolerance, replication, and distributed consensus. My secondary expertise, which is also what I find extremely exciting currently, is in the field of smart and connected healthcare with particular interest in human motion recognition, human computer interface, computer vision, machine learning, and fuzzy Inference.