Advisory Board and Editors Computational Linguistics

Sophia Ananiadou

Sophia Ananiadou (PhD) is Professor in Computer Science at the School of Computer Science, the University of Manchester. She is also Director of the UK National Centre for Text Mining and a founding member of the SIG in BioNLP, ACL.

Ann Copestake

Professor of Computational Linguistics, Computer Laboratory (i.e., the Computer Science department), University of Cambridge. Fellow of Wolfson College, Cambridge. President of the European Association for Language, Logic and Information (FoLLI). Formerly (1993-2000) a Senior Research Engineer at the Center for the Study of Language and Information (CSLI), Stanford.

Edward A Fox

Dr. Edward A. Fox holds a Ph.D. and M.S. in Computer Science from Cornell University, and a B.S. from M.I.T. Since 1983 he has been at Virginia Polytechnic Institute and State University (VPI&SU or Virginia Tech), where he serves as Professor of Computer Science. He directs the Digital Library Research Laboratory and the Networked Digital Library of Theses and Dissertations.

Susan Gauch

Dr. Gauch's received her Ph.D. from University of North Carolina at Chapel Hill in 1990. While at the University of Kansas, from 1993-2007, she developed one of the first metasearch engines (ProFusion) and one of the first digital video libraries (VISION) and she is perhaps best known for her work on ontology-based personalized search.

In 2007 she joined the University of Arkansas as Head of Computer Science and Computer Engineering, returning to the faculty in 2015.

Barbara J Grosz

Higgins Professor of Natural Sciences, Harvard School of Engineering and Applied Sciences. Member US National Academy of Engineering, American Philosophical Society, American Academy Arts and Sciences; fellow Assoc. for the Advancement of Artificial Intelligence, Assoc. for Computing Machinery. Seminal contributions to fields of natural-language processing and multi-agent systems. Also known for leadership in artificial intelligence and establishment of several interdisciplinary institutions.

Harry Hochheiser

My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.

Krista H Lagus

Researcher on the connections of wellbeing, data analysis, cognition and the mind. Specializations include text mining from large corpora, developing unsupervised machine learning methods e.g. for modeling morphology of language, and lately, studying social isolation and experienced wellbeing. Past positions include Academy Research Fellow at Aalto University.

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.

Lexing Xie

Lexing Xie is Associate Professor in the Research School of Computer Science at the Australian National University and Researcher in Machine Learning and Optimization, NICTA. She was research staff member at IBM T J Watson Research Center 2005-2010. She is Associate editor for IEEE Trans. Multimedia, ACM TOMM and ACM TIST and PeerJ CS. Her current research interests are in knowledge graphs for multimedia, and understanding individual and aggregate behavior in online social networks.