Rada Chirkova

Computer Science

Research Interests

  • Algorithms and Theory of Computation
  • Cyber Security
  • Data Sciences and Analytics
  • Health Care Information Technology
  • Information and Knowledge Management

 

Honors and Awards

  • 2019 | IBM Faculty Awards
  • 2018 | IBM Faculty Awards
  • 2015 | IBM Faculty Awards
  • 2014 | IBM Faculty Awards
  • 2012 | Senior Member, Association for Computing Machinery (ACM)
  • 2012 | IBM Faculty Awards
  • 2011 | IBM Faculty Awards
  • 2010 | IBM Faculty Awards
  • 2007 | IBM Faculty Awards
  • 2007 | IBM University Partnership Program Awards
  • 2005 | National Science Foundation Faculty Early CAREER Award
  • 2004 | IBM University Partnership Program Awards
  • 2003 | IBM University Partnership Program Awards
  • 2003 | Faculty Research and Professional Development Award (NCSU)

 

Publications

Acoustic correlates of prominence in Kala Lizu (Tibeto-Burman)
Chirkova, K., Hou, P.-Y., Chirkova, R., & Amelot, A. (2023), JOURNAL OF CHINESE LINGUISTICS, 51(1), 101–146. https://doi.org/10.1353/jcl.2023.0008
Theory and Practice of Relational-to-RDF Temporal Data Exchange and Query Answering
Ao, J., Cheng, Z., Chirkova, R., & Kolaitis, P. G. (2023), ACM JOURNAL OF DATA AND INFORMATION QUALITY, 15(2). https://doi.org/10.1145/3591359
Compact Walks: Taming Knowledge-Graph Embeddings With Domain- and Task-Specific Pathways
Hou, P.-Y., Korn, D. R., Melo-Filho, C. C., Wright, D. R., Tropsha, A., & Chirkova, R. (2022), PROCEEDINGS OF THE 2022 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA (SIGMOD '22), pp. 458–469. https://doi.org/10.1145/3514221.3517903
Defining clinical outcome pathways
Korn, D., Thieme, A. J., Alves, V. M., Yeakey, M., Borba, J. V. V. B., Capuzzi, S. J., … Tropsha, A. (2022). [Review of , ]. DRUG DISCOVERY TODAY, 27(6), 1671–1678. https://doi.org/10.1016/j.drudis.2022.02.008
Knowledge-based approaches to drug discovery for rare diseases
Alves, V. M., Korn, D., Pervitsky, V., Thieme, A., Capuzzi, S. J., Baker, N., … Tropsha, A. (2022). [Review of , ]. DRUG DISCOVERY TODAY, 27(2), 490–502. https://doi.org/10.1016/j.drudis.2021.10.014
COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug-Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19
Korn, D., Pervitsky, V., Bobrowski, T., Alves, V. M., Schmitt, C., Bizon, C., … Tropsha, A. (2021), JOURNAL OF CHEMICAL INFORMATION AND MODELING, 61(12), 5734–5741. https://doi.org/10.1021/acs.jcim.1c01285
COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database
Korn, D., Bobrowski, T., Li, M., Kebede, Y., Wang, P., Owen, P., … Tropsha, A. (2021), BIOINFORMATICS, 37(4), 586–587. https://doi.org/10.1093/bioinformatics/btaa718
Ensuring Data Readiness for Quality Requirements with Help from Procedure Reuse
Chirkova, R., Doyle, J., & Reutter, J. (2021), ACM JOURNAL OF DATA AND INFORMATION QUALITY, 13(3). https://doi.org/10.1145/3428154
Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns
Schatz, K., Melo-Filho, C., Tropsha, A., & Chirkova, R. (2021), 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 3709–3716. https://doi.org/10.1109/BigData52589.2021.9672006
Original Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses
Moon, C., Jin, C., Dong, X., Abrar, S., Zheng, W., Chirkova, R. Y., & Tropsha, A. (2021), JOURNAL OF BIOMEDICAL INFORMATICS, 119. https://doi.org/10.1016/j.jbi.2021.103838

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Rada Chirkova