Dr. Halil Kilicoglu

Associate Professor

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Biography

Halil Kilicoglu is an associate professor at the School of Information Sciences at the University of Illinois at Urbana-Champaign. His research primarily focuses on natural language understanding with a particular emphasis on biomedical text. Using a combination of data-driven analytical techniques and knowledge-based semantic approaches, he aims to extract and organize knowledge buried within textual artifacts to realize potential benefits for biomedical discovery and scholarship, and improve healthcare outcomes. He earned his PhD in computer science from Concordia University in 2012. Prior to joining the iSchool faculty, he worked as a staff scientist at the U.S. National Library of Medicine, National Institutes of Health, where he led the Semantic Knowledge Representation project. Kilicoglu has contributed significantly to the field, emphasizing the importance of transparency and integrity in biomedical publications. His work includes various publications and presentations aimed at improving methodologies in biomedical informatics, particularly regarding citation integrity and the use of natural language processing in enhancing scholarly communications.

Research Interests

Experience

Associate Professor

2012-01-01 — Present

University of Illinois at Urbana-Champaign • Champaign, IL

Instructing courses and conducting research in the field of Information Sciences, with a focus on biomedical informatics.

Awards

#2023

Trustworthy Natural Language Processing (TrustNLP 2023) Paper Award

#2021

System Paper Award

#2016

Distinguished Paper Award

#2017

Distinguished Paper Award

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.