Recent News

Press/News:


2016

          Professor Giles gives an invited talk "Recurrent Neural Networks: State Machines and Pushdown Automata" at the ICML workshop Neural Networks Back to the Future. He last gave this presentation in 1997 at the workshop on "Adaptive Processing of Sequences and Data Structures."

2015

          Professor Giles received the Gabor Award from the International Neural Network Society for  achievement in engineering/applications for his work on recurrent neural networks.

          He also presented a plenary on "Machine Learning in Scholarly Big Data" at the IEEE International Joint Conference on Neural Networks.

2014

Professor Giles selected as a Penn State Teaching and Learning with Technology Fellow.


PLoSONE paper on the number of scholarly papers on the web is mentioned in several places:


Professor Giles is honored to receive IST's "Senior Faculty Excellence in Research" Award.

2013

Professor Giles was honored to give a keynote at the ACM International Conference on Information and Knowledge Managment (CIKM 2013) titled "Scholarly Big Data -- Information Extraction and Data Mining." He was also on a panel organized by Professor Jiawei Han on "Channeling the Deluge: Research Challenges for Big Data and Information Systems."

Professor Giles advised or coadvised two graduate students who defended their PhDs.

CiteSeerX rated 4th in the World Webmetrics repository rankings.

2012

Professor Giles was recently was invited to participate on the panel "BigData -- Challenges & Research Directions" at the 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing.

A Royal Society of Engineering Fellowship allowed Professor Giles to visit the UK and give seminars at University College London, University of Cambridge, University of Oxford, University of Glasgow, University of Copenhagen and the Technical University of Denmark.

"Using Solr/Lucene to Build CiteSeerX and Friends" was presented at the 2012 Lucene Revolution in Boston.

Professor Giles was privileged to hood former graduate student and now Professor Ying Liu at Penn State's spring graduate school commencement.

AckSeer, the only acknowledgment indexing search engine, beta released.

2011

Professor Giles was honored to give an invited keynote at the IEEE International Conference on Data Mining (ICDM 2011) titled "Data Mining and Information Extraction for CiteSeerX and Friends ."

An invited presentation "Information Extraction for STI Indicators: Creating Data from Information" was given at the Workshop on Developing Science, Technology and Innovation Indicators for the Future; Committee on National Statistics; Board on Science, Technology and Economic Policy; The National Academy of Sciences.

Professor Giles was privileged to walk and hood 2 new PhD's (Jian Huang and Shuyi Zheng) at Penn State's spring and fall graduate school commencement.

RefSeer citation recommendation system beta released.

Professor Giles coorganizes the first workshop on Digital Disciplinary Repositories at JCDL 2011.

CollabSeer beta released.

2010

Professor Giles gives the commencement address (photo courtesy of James Wang) at Penn State's Graduate School Commencement Ceremony.

CiteSeerX has now indexed over 1.5 million documents and comes in 2nd in the ranking of world repositories!

2009

Professor Giles was privileged to walk and hood 4 new PhD's (Levent Bolelli, Seyda Ertekin, Yang Song, Qingzhao Tan) at Penn State's spring graduate commencement.

MobiSNA project demos at Alcatel-Lucent's 4G Symposium. Project discussed in the Daily Collegian.

CiteSeerX introduces table search for over one million tables.

2008

Information Today news story on CiteSeerX and SeerSuite.

Research on automatic table and plot extraction is reported on by New Scientist.

Next Generation CiteSeer, CiteSeerX, receives favorable reviews in various blogs.

Professor Giles selected to speak at Penn State President Graham Spanier's New Student convocation.

Professor Giles nominated for IST Professor of the Year.

2007

Robots.txt study and search engine, BotSeer, receive media attention.

Table search engine, TableSeer, announced.


Recent Ph.D. and M.S. graduates: