Faculty Profile for Gregory Randell Lakomski
Gregory Randell Lakomski
Lecturer — Computer Science
CMAL 211
phone: (512) 245-3409
Selected Scholarly/Creative Work
- Ekin, T., & Lakomski, G. R. (2021). Risk based Payment Integrity Evaluation. In Proceedings of 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (pp. 1–6). Sakheer, Bahrain: IEEE. https://doi.org/doi: 10.1109/ICDABI51230.2020.9325603
Selected Grants
- Ekin, Tahir (Principal), Lakomski, Gregory Randell (Co-Principal). I-Corps: Probabilistic AI-based software for proactive data quality assessment, National Science Foundation’s Innovation Corps (I-Corps), Federal, $50000. (Submitted: March 2021, Funded: May 2021 - October 2023). Grant.
- Ekin, Tahir (Principal), Lakomski, Gregory Randell. DataTwin: Proactive Data Quality Assessment, National Science Foundation I-Corps Program, Federal, $3000. (Submitted: October 2020, Funded: November 2020 - August 2021). Grant.