Dr. Terry Lima Ruas

SHORT BIOGRAPHY
Terry Ruas has completed his Ph.D. in Computer and Information Science at the University of Michigan – Dearborn in the USA, where he also worked as Graduate Student Instructor for graduate and undergraduate courses. He completed his MSc and BSc in Information Engineering and Computer Science respectively at the Federal University of ABC (UFABC) in Brazil. During his graduate studies, he also worked in the industry for IBM for five years. He was also a Ph.D. intern at the National Institute of Informatics in Tokyo, Japan and a summer teaching assistant at VelTech in Chennai, India.
RESEARCH INTERESTS
Terry’s research interest is the result of an overlap between natural language processing, data science, and machine learning applied to text mining to extract semantic features. He explores how semantic features can be used to solve different NLP downstream tasks and real-world problems. More specifically, he is interested in how to improve scientific paper mining and recommendation using semantics. Terry’s primary research interest topics are:
- Natural language processing
- Paraphrase/Plagiarism detection
- Machine learning
- Scientific paper mining
- Scientometrics
- Data Science
CONTACT
Dr. Terry Lima Ruas
Papendiek 14
37073 Göttingen
GERMANY
Office:
SUB Historic Building 0.208
ruas@gipplab.org
Phone: will be added soon
Social Network Profiles
SHORT CV
09/2019 – present
Senior researcher
Data & Knowledge Engineering Group, University of Wuppertal, Germany
09/2015 – 08/2019
Computer and Information Science, Ph.D.
University of Michigan-Dearborn, Michigan, USA
01/2018 – 07/2018
Visiting Researcher
National Institute of Informatics (NII), Tokyo, Japan
12/2009 – 07/2015
Product Manager; IT Specialist
IBM, São Paulo, Brazil
02/2012 – 10/2013
Information Engineering, M.Sc.
Federal University of ABC (UFABC), São Paulo, Brazil
01/2007 – 12/2010
Computer Science and Science & Technology, B.Sc.
Federal University of ABC (UFABC), São Paulo, Brazil
TEACHING & PROJECTS
[WS21]
▸Key Concepts in Computer Science
▸Applied Natural Language Processing and Text Mining
[SS21]
▸Key Concepts in Computer Science
[WS20]
▸Key Concepts in Computer Science
▸Applied Natural Language Processing and Text Mining
[SS20]
▸Key Concepts in Computer Science
[WS19]
▸Applied Natural Language Processing and Text Mining
Students projects
The slides here are examples of student research projects that I’m currently offering. Please let me know if you are interested in these projects or if you have other project ideas.
SELECTED PUBLICATIONS
A complete list of my publications is available here.
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research
J. P. Wahle, T. Ruas, Saif M. Mohammad. Meuschke, B. Gipp
Proceedings of The 13th Language Resources and Evaluation Conference, LREC 2022, Marseille, France, June 20-25, 2022
(PDF DOI BibTeX)
Identifying Machine-Paraphrased Plagiarism
J. P. Wahle, T. Ruas, T. Foltynek, N. Meuschke, B. Gipp
Information for a Better World: Shaping the Global Future – 17th International Conference, iConference 2022.
(PDF DOI BibTeX)
Neural Media Bias Detection Using Distant Supervision With BABE – Bias Annotations By Expert
In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 1166–1177, Punta Cana, Dominican Republic, 2021.
(PDF DOI BibTex)