Advisory Board and Editors Visual Analytics
Binh P. Nguyen
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).
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.
James B Procter
I studied Chemistry at The University of York, Computer Science at The University of Leeds, and obtained a PhD at the Australian National University. I worked on the comparison, classification and prediction of protein structure at ANU and in Germany at the University of Hamburg before joining the Jalview project in Dundee in 2004.
I co-founded the VIZBI conference in 2009, and joined PeerJ CS as Academic Editor in 2014. I serve on a variety of biological and computer science peer review panels and conference program committees. I'm interested in how we can do better science by creating better tools for data analysis and communication.
Ananya Sen Gupta
Ananya Sen Gupta received her PhD from the University of Illinois in 2006, spent a significant part of her research career (2008-2012) at the Woods Hole Oceanographic Institution, and is currently an Assistant Professor in Electrical and Computer Engineering.
She leads and directs multiple research grants focused computational innovations for shallow water acoustic communications, sonar target classification, and more generally, dynamic environmental sensing. Her algorithms have also been applied towards petroleum forensics, air pollution studies, tracking whistler-mode chorus emissions in the Van Allen radiation Belts, escaping local ion populations against solar wind in the Martian ionosphere, as well for separation of reaction wheel signature from magnetometer measurements in the e-POP spacecraft.
Her research for her Iowa EPSCoR project was featured in the ISGC 2015-2016 STIMULI EPsCOR report distributed to Congress. She has also received a collegiate-level teaching excellence award in 2015, three mentor awards from the Iowa Space Grant Consortium in 2016, 2017 and 2019, and a career mentor award from University of Iowa. Dr. Sen Gupta has served as a guest editor for the IEEE Journal of Oceanic Engineering and currently serves as an Associate Editor for IEEE Access, co-chair of the Technical Committee for Data Analytics, Integration and Modeling for IEEE Ocean Engineering Society, and a committee member for the Oceans chapter of IEEE Planet Positive 2030 effort.
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.
Tamara Sumner
I lead an interdisciplinary research and development lab that studies how computational tools - combining cognitive science, machine intelligence, and interactive media - can improve teaching practice, learning outcomes and learner engagement. Inquiry Hub, formerly known as Digital Learning Sciences, is a mission-centered, research-practice partnership involving faculty and students from the University of Colorado Boulder, scientific and technical staff from the University Corporation for Atmospheric Research (UCAR), and educators and administrators from Denver Public Schools. Our research and development team combines expertise in cognitive science, learning sciences, science education, user-centered design and evaluation, digital content management, software engineering, educational data mining, and machine learning/natural language processing.
I am also a Professor at the University of Colorado, with a joint appointment between the Institute of Cognitive Science and the Department of Computer Science. I am currently serving as the Director of the Institute of Cognitive Science. My research and teaching interests include personalized learning, learning analytics, cyber learning environments, educational digital libraries, scholarly communications, human centered computing, and interdisciplinary research methods for studying cognition. I have written 140 articles on these topics, including over 80 peer-reviewed scholarly publications.
Steven John Thompson
I teach at Savannah State University and at University of Maryland Global Campus. Former faculty at Johns Hopkins University, Dartmouth College, UC Davis. I have been teaching college students for over 20 years. My research expertise is in Internet phenomena: access, addiction, agency, control, dependency, governance, and policy; and engineering ethics in Science, Technology, and Society (STS) merging the Internet with physical bodies. I am the Editor for Machine Law, Ethics and Morality in the Age of Artificial Intelligence (2021); Androids, Cyborgs, and Robots in Contemporary Culture and Society (2017); and, Global Issues and Ethical Considerations in Human Enhancement Technologies (2014).
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.
Gregory M Verutes
Gregg Verutes is a biogeographer currently supporting Blue Forest Conservation's data management, visualization, and reporting systems. He specializes in blending the fields of conservation and technology to empower planners, managers, and analysts who are passionate about protecting the multitude of benefits flowing from ecosystems to people. He has previously worked for the National Geographic Society, Audubon Society, World Wildlife Fund, and Stanford University. Gregg received his Ph.D. in Marine Science & Technology from the University of Santiago de Compostela, a M.Sc. in Geographic Information Science from San Diego State University, and B.Sc. in Policy Analysis & Management from Cornell University.
Meng Wang
Dr. Meng Wang is a professor at the Hefei University of Technology, China. His current research interests include multimedia content analysis, search, mining, recommendation, and large-scale computing. He received the best paper awards successively from the 17th and 18th ACM International Conference on Multimedia. He is the recipient of ACM SIGMM Rising Star Award 2014.
Huiyu Zhou
Prof. Huiyu (Joe) Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom.
Prof. Zhou currently heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was the Director of MSc Programme (2018-19), and currently is the Coordinator of MSc Distance Learning and a Member of Research Committee at School of Informatics. Prior to this appointment, he worked as a Lecturer (2012-17) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast.
Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize".