Eric Charles Grasby

Education

• Ph.D., Computer and Information Sciences, University of Arkansas at Little Rock, 2027 (expected)
• M.S., Information Quality (MSIQ), University of Arkansas at Little Rock, 2020
• Graduate Certificate, Information Quality, University of Arkansas at Little Rock, 2020
• B.S., Information Science (BSIS), University of Arkansas at Little Rock, 2018

Research Interests

• Language engineering
• Information and data quality
• Techniques for data and signal processing
• Computational linguistics
• Digital Humanities
  • Part-of-speech (POS) tagging
  • Thematic coding (Lumivero NVivo)
  • Learning Sanskrit

Publications and Other Products

Dissertation

1. E. C. Grasby, "A Domain-Specific Language Approach to Monitoring and Surveillance in Wholesale Electricity Markets," dissertation in progress, University of Arkansas at Little Rock. Expected 2027. Research profile.

Conference papers

1. E. C. Grasby, D. Berleant, and M. C. B. Gingras, "A Domain-Specific Computer Language for Market Monitoring: From Domain Logic to SAS Code," Paper 42-2026, Southeast and Atlantic SAS User's Group (SEASUG) 2026 Conference. Accepted papers.

Industry reports (contributor)

1. SPP Integrated Marketplace, Annual State of the Market Report, Southwest Power Pool Market Monitoring Unit: 2025, 2024, 2022.
2. SPP Western Energy Imbalance Service, Annual State of the Market Report, Southwest Power Pool Market Monitoring Unit: 2025/2026, 2024, 2022.

Academic Service

1. Workshop Program Committee Member (invited by Dr. Wei Dai), Applied Artificial Intelligence for Public Safety and Security Workshop on Big Data (AI-PublicSecurity-2025), held with the 2025 IEEE International Conference on Big Data, Macau. July 1–November 1, 2025. [Archived] Call for Papers » Review Certificate

Presentations

1. Upstream from AI: Data and Information Quality in Energy Markets, Panelist Presentation. 46th Semi-annual Energy Intermarket Surveillance Group (EISG) meeting, Boston, MA. April 29, 2025.

Skills

• Java (Spring Boot)
• SQL (T-SQL, PL/SQL)
• SAS
• Front-end web development (React.js)
• General scripting (bash/sh, PowerShell, Python)
• Text parsing
• CI/CD techniques