2018 Miles Conrad Award Recipient

Every year since 1968, NFAIS has recognized one outstanding individual who has made significant contributions to the global information community and the advancement of NFAIS' mission with the Miles Conrad Award. Named in honor of G. Miles Conrad (1911-1964), a key individual responsible for the founding of NFAIS, awardees are invited to present a special lecture to an audience of their peers during the annual conference. Throughout the years, industry leaders, innovators and pioneers from across every sector of the information community have enthralled conference attendees with their insights, reflections, anecdotes, and wisdom during the Miles Conrad Memorial Lecture. 

This year's Miles Conrad Award goes to C. Lee Giles, PhD, David Reese Professor at the College of Information Sciences and Technology, Pennsylvania State University. He is also graduate college Professor of Computer Science and Engineering, courtesy Professor of Supply Chain and Information Systems, and Director of the Intelligent Systems Research Laboratory.  He recently became a Teaching and Learning Technology Fellow and the Interim Associate Dean of Research for IST.

Dr. Giles directs the Next Generation CiteSeer, CiteSeerx project and codirects the ChemxSeer project at Penn State. He has been associated with Columbia University, the University of Maryland, University of Pennsylvania, Princeton University, and the University of Trento. His current research and research group interests are in intelligent information processing systems such as:

  • Intelligent cyberinfrastructure and portals with a special interest in computer and information science, chemistry, materials science, economics, medicine, biology and archaeology.
  • Novel web tools, search engines, scientometrics, web search and measurement.
  • Scholarly big data: large scale knowledge and information management and extraction, information retrieval, entity disambiguation, metadata extraction, text and data mining, machine learning, digital libraries and web databases, web services and social networks.
  • Automated extraction, mining and integration of data and text and tools for Science of Science and Team Science and learning at scale.
  • Novel applications and architectures of intelligent information systems for big data.
  • Business and economic models for search and search engines.

His research is or has been supported by NSF, NASA, DARPA, Microsoft, FAST Search and Transfer, Ford, IBM, Internet Archive, Lockheed-Martin, Alcatel/Lucent, NEC, Raytheon, Smithsonian, US Department of Treasury, and Yahoo. He has consulted for or been on advisory boards of NEC, FAST Search and Transfer, PJM, KXEN, Databrary, US Department of Treasury, and the US Department of Defense.

Dr. Giles and his collaborators, including current and former graduate students, have published over 400 journal and conference papers, book chapters, edited books and proceedings. His work is very well cited, according to Google Scholar, and his is one of the top 100 h-indexes in Computer Science and in Information Retrieval. Recent work on Scholarly Big Data and access appeared in 2014 in PLOSOne and was in NatureScience and other news. His 2006 coauthored paper in Science proposes a cyberinfrastructure for the historial sciences. His coauthored paper in 2004 in the Proceedings of the National Academy of Sciences created an automatic acknowledgement indexing methodology and showed that various funding agencies and individuals in computer and information science are much more acknowledged than others. In 2002, he coauthored the paper "Winners Don't Take All" published in the Proceedings of the National Academy of Sciences on how the topic based web does not follow a power law distribution. In 1998, he coauthored a paper published in Science on the size and search engine coverage of the Web that was well cited in the popular press and in 1999 a well received follow-up paper in Nature. Several of his papers have won or been nominated for best paper awards and have been reprinted in edited collections. His research has been highlighted in many places including the Society for Industrial and Applied Mathematics (SIAM) news, Wired Magazine, the Wall Street Journal, the Washington Post, the New York Times, Nature news and Science news.

Dr. Giles has been involved in the creation and development of various novel search engines and digital libraries. He was one of the creators of the novel metasearch engines, Inquirus and Inquirus2. He was also one of the creators of the popular computer and information science search engine, CiteSeer, an autonomous citation indexing search engine and digital library, now hosted at the College of Information Sciences and Technology at Penn State University. Recently, it has been replaced by the Next Generation CiteSeer, CiteSeerx. He also created a niche search engine eBizSearch, a search engine for e-business documents, and, SMEALSearch, a search engine and digital library for academic business documents. He is very interested in cyberinfrastructure for science and the academy and is currently a codeveloper in the research and development of a portal and search tool for environmental chemistry, ChemxSeer. He prototyped a novel search engine for archaeology, ArchSeer, and also developed a new search engine for robots.txt, BotSeer, that indexed over 2 million robots.txt files. Currently, he is working on collaboration networks, CollabSeer, and citation recommendation, RefSeer.

Dr. Giles plays an active professional role in scientific and technical and communities. He serves on many related conference program committees and has helped organize many related meetings and workshops. He has given many invited and keynote talks and seminars. He has been or is an advisor and reviewer to USA and other government and university research programs. He has served or is currently serving on the editorial boards of IEEE Intelligent SystemsIEEE Transactions on Knowledge and Data EngineeringMachine Learning Journal, Computational Intelligence and Applications,  IEEE Transactions on Neural NetworksJournal of Computational Intelligence in Finance, Journal of Parallel and Distributed ComputingNeural Networks, Neural Computation, and Academic Press.

He is a Fellow of the ACM, a Fellow of the IEEE and a Fellow of the International Neural Network Society (INNS), and a member of AAAI. He received the INNS Dennis Gabor Award for outstanding achievements in neural engineering and the IEEE Computational Intelligence Society's Pioneer Award in Neural Networks. He has twice received the IBM Distinguished Faculty Award.  His previous positions include a Senior Research Scientist at NEC Research Institute (now NEC Labs), Princeton, NJ; a Program Manager at the Air Force Office of Scientific Research in Washington, D.C.; a research scientist at the Naval Research Laboratory, Washington, D.C.; and an Assistant Professor of Electrical and Computer Engineering at Clarkson University, Potsdam, N.Y. During part of his graduate education he was a research engineer at Ford Motor Company's Scientific Research Laboratory. His graduate degrees are from the University of Michigan and the University of Arizona and his undergraduate degrees are from Rhodes College and the University of Tennessee. His academic genealogy includes two Nobel laureates and prominent mathematicians.

For a complete list of Miles Conrad Award Recipients and past presentations, go to www.nfais.org/miles-conrad-lectures.