Dominic Seyler – Ph.D. Candidate

Hi! I am a Ph.D. candidate in the computer science department at the University of Illinois at Urbana-Champaign where I am part of the Text Information Management and Analysis Group. My advisor is Prof. ChengXiang Zhai. My research interests are at the intersection of Information Retrieval, Natural Language Processing and Machine Learning. I am especially interested in novel Machine Learning and Text Mining methods for the Security problem domain.

May, 2018: I will be joining the Big Data Lab at Baidu Research USA this summer.
April 21, 2018: Our short-paper on the Importance of External Knowledge in the Named Entity Recognition Task was accepted to ACL 2018.
April 19, 2018: Our paper on Identifying Compromised Accounts on Social Media Using Statistical Text Analysis is now available on arXiv.
April 11, 2018: Our short-paper with IBM Research was accepted to SIGIR 2018. Title: “An Information Retrieval Framework for Contextual Suggestion Based on Heterogeneous Information Network Embeddings”

August 2016 – current:
Ph.D. student in Computer Science at University of Illinois Urbana-Champaign

April 2013 – October 2015:
M.Sc. in Computer Science at Saarland University, Saarbrücken, Germany

October 2009 – February 2013:
B.Sc. in Applied Computer Science at University of Applied Sciences Kaiserslautern, Germany

May 2018 – August 2018:
Baidu Research USA
Research Intern – Big Data Lab

May 2017 – December 2017:
IBM Research
Research Intern – Cognitive User Experience Lab

June 2013 – June 2016:
Max Planck Institute for Informatics
Research Assistant – Databases and Information Systems Department

Spring 2018:
CS 410: Text Information Systems (Prof. ChengXiang Zhai)
Teaching Assistant

Fall 2017:
CS 510: Advanced Information Retrieval (Prof. ChengXiang Zhai)
Teaching Assistant

2017:
SIGIR Travel Grant (awarded by the Association for Computing Machinery)

2016:
Computer Science Excellence Fellowship (awarded by the University of Illinois at Urbana-Champaign)