Lecturer Biographies
Indiana University, School of Library and Information Science
Dr. Ying Ding is an Assistant Professor in School of Library and Information Science, Indianan University. Before she worked as a senior researcher at the University of Innsbruck, Austria and as a researcher at the Division of Mathematics and Computer Science at the Free University of Amsterdam, the Netherlands. She completed her Ph.D. in School of Applied Science, Nanyang Technological University, Singapore. She has published more than 70 papers in journals,conferences and workshops. She has three highly cited papers which each of them has been cited more than 110 times according to Google Scholar. She is Programme Committee for more than 70 international conferences and workshops. She is co-author of the book "Intelligent Information Integration in B2B Electronic Commerce" published by Kluwer Academic Publishers. She is also co-author of book chapters in the book "Spinning the Semantic Web" published by MIT Press and "Towards the Semantic Web: Ontology-driven Knowledge Management" published by Wiley. Her current interest areas include Webometrics, Semantic Web, citaiton analysis, information retrieval, knowledge management and application of Web Technology.
Indiana University, Center for Data and Search Informatics
Bin Cao is a Postdoctoral fellow in the Center for Data and Search Informatics (DSI) at Indiana University. She received her Ph.D. in Computer Science and Engineering in 2006 from the University of Louisville. She also holds a M.S. in Computer Science from the University of Louisville and B.E. in Computer Engineering from the Southeast University (China). Her research interests include provenance in scientific workflows and databases, query processing and optimization, query languages, data models, and distributed query processing.
Indiana University, Department of Computer Science
Ruj Akavipat is a Ph.D. candidate in Computer Science at Indiana University, Bloomington. He is a lead developer of the NSF-sponsored Sixearch.org peer search network. He also works as a research associate in IU's Department of Psychological and Brain Sciences. His current research focuses on the development of trust and security measures for distributed, collaborative peer-to-peer systems.
Indiana University, Department of Computer Science
Andrew Kalafut is a Ph.D candidate in Computer Science at Indiana University. He works in the Networking Research Group with Professor Minaxi Gupta. His current research projects focus on DNS security and configuration, and developing signatures for identifying malicious infrastructure on the Internet.
Indiana University, Department of Computer Science
Ben Markines is a PhD candidate in the Department of Computer Science at Indiana University Bloomington. His research interests are in Web 2.0, tagging systems, Web mining and network analysis. His dissertation discusses the discovery of relationships among tags and resources mined from collaborative tagging systems. These relationships in turn lead to improved recommendation, navigation, and spam detection on the World Wide Web.
Indiana University, Department of Computer Science
Mark Meiss is a Ph.D. candidate in the Department of Computer Science and conducts his research at the Advanced Network Management Laboratory (ANML). He has developed a number of network management applications in production use on the Indiana University and Abilene (Internet2) networks. His primary research interests are in network management, complex systems, artificial intelligence, and self-adapting systems. His dissertation research is centered on the analysis of behavioral graphs derived from Internet traffic data. He studies the structures of these virtual networks, the ways in which they interact with the physical network, and the behaviors they represent.
Indiana University, School of Informatics
Alaa Abi-Haidar is a PhD student in Informatics (complex systems) at Indiana University. Alaa works with Prof. Luis M. Rocha on data mining, document classification, and bio-inspired computing, more specifically, Immune-inspired computing.
University of Notre Dame, Department of Computer Science and Engineering
Prof. Douglas Thain is an Assistant Professor of Computer Science and Engineering at the University of Notre Dame. He directs the Cooperative Computing Lab, am enterprise that connects computer scientists with researchers in other scientific fields to solve new problems on large distributed systems. He received a PhD in Computer Sciences from the University of Wisconsin, where he contributed to the Condor distributed computing project. He received a BS in Physics from the University of Minnesota. Prof. Thain received an NSF CAREER award in 2006.
Indiana University, School of Informatics
Luis M. Rocha is an Associate Professor of Informatics and member of the Complex Systems Group. He is currently the director of the complex systems PhD track in Informatics. He is also core faculty of the Cognitive Science Program, Adjunct Associate Professor in Computer Science, and affiliated with the Biocomplexity Institute and Center for Complex Networks and Systems at Indiana University, Bloomington, USA. He is also the director of the Computational Biology Collaboratorium and in the Direction of PhD program in Computational Biology at the Instituto Gulbenkian da Ciencia, Portugal.
Indiana University, Department of Geography
Tom Evans is an Associate Professor in the Department of Geography and Co-Director, Center for the Study of Institutions, Population and environmental Change. Evans has used a multi-method approach to the study of human dimensions of global change with an emphasis on household-level decision-making related to land use change. His past research has employed GIS, remote sensing, household- surveys, agent-based modeling and spatially explicit decision-making experiments.
Victor H. Yngve Associate Professor of Information Science
Director of the Cyberinfrastructure for Network Science Center
Indiana University, School of Library and Information Science
Katy Borner is the Victor H. Yngve Associate Professor of Information Science at the School of Library and Information Science, Adjunct Associate Professor in the School of Informatics, Core Faculty of Cognitive Science, Research Affiliate of the Biocomplexity Institute, Fellow of the Center for Research on Learning and Technology, Member of the Advanced Visualization Laboratory, and Founding Director of the Cyberinfrastructure for Network Science Center at Indiana University. She is a curator of the Places & Spaces: Mapping Science exhibit, http://scimaps.org/.
Her research focuses on the development of data analysis and visualization techniques for information access, understanding, and management. She is particularly interested in the study of the structure and evolution of scientific disciplines; the analysis and visualization of online activity; and the development of cyberinfrastructures for large scale scientific collaboration and computation.
She is the co-editor of the Springer book on "Visual Interfaces to Digital Libraries" and of a special issue of PNAS 101 (Suppl. 1) on "Mapping Knowledge Domains" published in April 2004. She also co-edited a special issue on "Collaborative Information Visualization Environments" in PRESENCE: Teleoperators and Virtual Environments, MIT Press (Feb. 2005), "Information Visualization Interfaces for Retrieval and Analysis" in the Journal of Digital Libraries (March 2005), and "Mapping Humanity's Knowledge" in Environment and Planning B (Sept 2007). Her new book "Atlas of Science: Guiding the Navigation and Management of Scholarly Knowledge" published by ESRI will become available end of 2008.
She and her colleagues at the Cyberinfrastructure for Network Science Center serve the
- Scholarly Database of 18 million scholarly records, https://sdb.slis.indiana.edu
- Information Visualization Cyberinfrastructure, http://iv.slis.indiana.edu
- Network Workbench Tool and Community Wiki, http://nwb.slis.indiana.edu
She is the recipient of many fellowships and awards, including Outstanding Junior Faculty Award, Pervasive Technology Laboratories Fellowship, SBC Fellow, NSF CAREER Award, and Trustees Teaching Award. She is currently PI or Co-PI in funded research: Collaborative Research: Social Networking Tools to Enable Collaboration in the Tobacco Surveillance, Epidemiology, and Evaluation Network (NSF), Modeling the Structure and Evolution of Scholarly Knowledge (James S. McDonnell Foundation), CAREER: Visualizing Knowledge Domains (NSF), Mapping Indiana's Intellectual Space (21st Century Grant), Network Workbench: A Large-Scale Network Analysis, Modeling and Visualization Toolkit for Biomedical, Social Science and Physics Research (NSF), Towards a Macroscope for Science Policy Decision Making (NSF), and Creative Metaphors to Stimulate New Approaches to Visualizing, Understanding, and Rethinking Large Repositories of Scholarly Data (NSF).
For more information on her research agenda, teaching, and other activities, visit: http://ella.slis.indiana.edu/~katy/.
University of North Carolina, Institute for Marine Sciences
Dr. Craig Mattocks has over 25 years of experience as an atmospheric research scientist, numerical modeler and software developer. He has served as PI, co-PI, and manager in the design and development of several real-time operational numerical weather prediction systems, including a hybrid NWP-statistical thunderstorm prediction system for use in forecasting thunderstorms and lightning prior to space shuttle launches at NASA's Kennedy Space Center and a regional mesoscale, workstation-based atmospheric simulation system to predict the distribution (transport/scavenging/fallout) of optical battlefield obscurants for the US Army’s White Sands Missile Range.
As Chief of Computer Operations at the National Hurricane Center during the NWS modernization, Dr. Mattocks streamlined the flow of operationally required data to the Tropical Satellite Analysis and Forecast (TSAF) and Hurricane Specialist units. A participant in the Florida Everglades Restoration Project, he employed ARPS, a nonhydrostatic atmospheric simulation model developed at the University of Oklahoma’s Center for Analysis and Prediction of Storms, to diagnose how anthropogenic changes to the land surface from commercial development and urbanization generate microclimates over the Florida Peninsula that alter the horizontal distribution of rainfall.
More recently, Dr. Mattocks helped set up a new real-time, event-triggered storm surge and numerical weather prediction system for the State of North Carolina based on the WRF (Weather Research and Forecasting) model and the ADCIRC (Advanced Circulation) coastal ocean model to assist emergency managers with evacuation planning, decision-making and resource deployment during hurricane landfall events.
Dr. Mattocks is currently developing enhanced, interoperable capabilities between the LEAD (Linked Environments for Atmospheric Discovery) NSF cyberinfrastructure system and the NOAA/ESRL/GSD WRF Portal, the latter used at the Developmental Test Bed Center (DTC) in the Joint Numerical Test Bed (JNT) at NCAR. He is also working with the EPA’s Atmospheric Modeling Division to evaluate and deliver a working version of WRF-Var3D variational data assimilation system for use in coupled numerical weather and air quality (WRF-CMAQ) simulations.
Argonne National Laboratory, Mathematics and Computer Science Division
Kate Keahey is a Scientist in the Distributed Systems Lab at Argonne National Laboratory and a Fellow at the Computation Institute at the University of Chicago. She received M.S. and Ph.D. from Indiana University. Kate's most recent research interest focus on virtualization, policy-driven resource management, as well as the design and development of cloud computing infrastructure and tools. Among others, Kate created and leads the open source Nimbus project which provides an EC2-compatible cloud deployment platform as well as science-driven virtualization tools.
Indiana University, Department of Computer Science
Matthew Whitehead is a PhD student in Computer Science at Indiana University and he is working with Larry Yaeger of the Informatics Department. He received a B.S. degree in Mathematics from Willamette University and a M.S. degree in Computer Science from Washington State University. His main academic interests include machine learning, large-scale data mining, collaborative filtering, and computer security/cryptography.
