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

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

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
Spinde, T.; Plank, M.; Krieger, J.; Ruas, T.; Gipp, B.; and Aizawa, A. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 1166–1177, Punta Cana, Dominican Republic, 2021.
(PDF  DOI  BibTex)

Document Similarity for Research Papers
Ostendorff, M.; Ruas, T.; Blume, T.; Gipp, B.; and Rehm, G. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), pages 6194–6206, Barcelona, Spain (Online), 2020.
(PDF DOI BibTex)

Multi-sense embeddings through a word sense disambiguation process.
Ruas, T.; Gorsky, W.; and Aizawa, A. Expert Systems with Applications, 136: 288 – 303. 2019.
( PDF DOI BibTex)