Amazon, Seattle, USA
Muthu Kumar Chandrasekaran is a Research Scientist at Amazon, Seattle working on Natural language understanding. Previously he was a Scientist at SRI's International Artificial Intelligence Center. He completed his Ph.D. from NUS School of Computing. He is broadly interested in natural language processing, machine learning and their applications to information retrieval; specifically, in retrieving and organising information from asynchronous conversation media such as scholarly publications and discussion forums. He has been co-chairing the CL-SciSumm Shared Task series and the BIRNDL workshop series since 2014. He also reviews for ACL, EMNLP, NAACL, CoNLL and JCDL conferences. During his PhD he also interned at the Allen Institute for Artificial Intelligence's Semantic Scholar research and National Institute of Informatics, Tokyo.
Elsevier, USA
Anita is VP of Research Collaborations, where her work focuses on working with academic and industry partners on projects pertaining to progressing modes and frameworks for scholarly communication. Since 1997, she has worked on bridging the gap between science publishing and computational and information technologies, collaborating with groups in Europe and the US. From 2006 onwards, de Waard has been working on a discourse analysis of scientific narrative, with an emphasis on finding key epistemic components in biological text and within that scope, helped start the TAC SciSumm workshops in 2013. She is a cofounder of Force11 and cofounder of the Research Data Alliance's group on data retrieval technologies.
IBM Research AI, Haifa Research Lab, Israel
Guy Feigenblat is a team leader at the Language and Retrieval group in IBM Research AI. Guy is interested in AI, NLP and Information Retrieval (IR) research. He currently leads projects focusing on automatic document summarization (query-based, generic, extractive, abstractive) for various domains and use cases. Guy is involved in the development of IBM Science Summarizer, a novel search engine for scientific literature. Guy holds a Ph.D. in computer science from Bar-Ilan University. He co-organized Stringology workshop 2012.
SRI International, San Diego, USA
He is Program Director at SRI's Artificial Intelligence Center. He leads the Advanced Analytics group. His research seeks to apply artificial intelligence to information assimilation, management and exploitation. Freitag has served as principal investigator for a number of research projects including several large, multi-institutional efforts. His research goals have focused on the automation of data science; the automatic extension of mechanistic models through machine reading; knowledge federation over diverse information sources through data analytics and natural language processing; explaining the spread of ideas through online communities; and novel approaches to institutional knowledge management using controlled English. Freitag holds a B.A. in English literature from Reed College, and a Ph.D. in computer science from Carnegie Mellon University.
Indian Institute of Technology Patna, India
Tirthankar Ghosal is a final year doctoral scholar at the Indian Institute of Technology (IIT) Patna and recipient of the Visvesvaraya Fellowship from Ministry of Electronics and Information Technology, Government of India (GoI). He works on AI techniques to support the academic peer review system and scholarly communications using NLP/ML/IR. He is the co-editor of SIGIR Forum and currently serves as the Diversity & Inclusion (D&I) co-chair at AACL-IJCNLP 2020 and earlier at ACL 2020 (Financial Access) and NAACL 2019 (F&A). Tirthankar is also the organizing member of ICON 2020, Widening NLP (WiNLP) 2020 (publicity), European NLP (EurNLP) Summit 2021, WiNLP 2021, and FORCE 2021. He has been associated with organizing several Ministry of Human Resources and Development (MHRD), GoI funded Global Initiative of Academic Network (GIAN) workshops at IIT Patna since 2016.
Research Professor, LTI, Carnegie Melon University, USA
His research includes work on computational semantics of human language (such as text analysis, event detection and coreference, text summarization and generation, question answering, discourse processing, ontologies, text mining, text annotation, and machine translation evaluation), aspects of social media (such as event detection and tracking, sentiment and opinion analysis, and author profile creation), analysis of the semantics of non-textual information such as tables, and aspects of digital government.
Open University, UK
Petr Knoth leads a R&D team working in the domains of text-mining, digital libraries and open access/science. Petr is the founder, product and team leader for CORE, which is a service that aggregates millions of open access articles from around the world and makes them available for people to search and machines to text-mine. Previously, he worked as a Senior Data Scientist at Mendeley on information extraction and content recommendation for research. Petr has been involved as a researcher and as a PI in a number of European Commission, national and international funded research projects in the areas of text-mining, open science and eLearning. Petr is also the founder and main organizer of the WOSP workshop series.
IBM Research AI, Haifa Research Lab, Israel
David Konopnicki manages the Language and Retrieval group in IBM Research AI and is leading a variety of R\&D projects: development of large-scale full-text search engines, building customer profiles from enterprise and social media sources, affective computing on conversations data and more. David leads the development of IBM Science Summarizer, a novel search engine for scientific literature. David was a co-organizer of the THUM workshop at UMAP 2017, and the organizer of ISCOL 2018, and 2019.
GESIS – Leibniz Institute for the Social Sciences, Germany
Philipp Mayr is a team leader at the GESIS – Leibniz-Institute for the Social Sciences department Knowledge Technologies for the Social Sciences. Philipp Mayr received his PhD in applied informetrics and information retrieval from Humboldt University Berlin in 2009. His research group focuses on methods and techniques for interactive information retrieval. Philipp was the main organizer of the BIR workshops at ECIR 2014-2019 and the BIRNDL workshops at JCDL and SIGIR.
Oak Ridge National Laboratory, USA
Dr. Robert M. Patton is a computational analytics scientist at Oak Ridge National Laboratory. His research is focused on nature-inspired computational techniques for large‐scale data analytics. He is a member of IEEE’s CI Society and ACM’s SIGEVO.
IBM Research AI, Haifa Research Lab, Israel
Dr. Michal Shmueli-Scheuer is a leader researcher in the Language and Retrieval research group (AI Language department) in IBM Research - Haifa, with over 12 years of industry experience. She holds a Ph.D (2009) degree in Information and Computer Science from the University of California, Irvine, USA. Her area of expertise is in the fields of conversational bots, affective computing, user modeling, large scale analytics, database, and information systems, focusing on user behavior analytics and information management on the web. She has published more than 30 academic papers in leading conferences, and journals, and book chapters. She has served as a PC member and a reviewer of numerous leading conferences and journals. Within IBM, she has lead numerous user modeling related projects and has been recognized for her significant contributions.
Crossref, UK
Dominika Tkaczyk is a Principal R&D Developer at Crossref. Her research interests focus on machine learning and natural language processing, in particular their applications to the automated analysis of scientific literature and research outputs, including the extraction of machine-readable metadata from scholarly documents. Dominika received a PhD in Computer Science from Polish Academy of Sciences in 2016. In 2017 she was awarded a Marie Sklodowska-Curie EDGE Fellowship at Trinity College Dublin in Ireland. She was a reviewer for JCDL, SIGIR, LCPD and WOSP.