معرفی
Chris Irwin Davis is an Associate Professor of Instruction in the Department of Computer Science at the University of Texas at Dallas (UTD), where he earned his Ph.D. under Dr. Dan Moldovan. He serves on the UTD Academic Senate (2025-2026). His expertise spans computational linguistics, computational semantics, and NLP for under-resourced languages, particularly Indo-Iranian languages like Farsi and Urdu. His research also explores machine ethics, computational creativity, and artificial general intelligence.
Education: Ph.D. in Computer Science from UT Dallas (advisor: Dr. Dan Moldovan). Graduate research at the Human Language Technology Research Institute.
Research Interests:
- Computational semantics and event representation
- NLP for languages with sparse resources
- Machine translation and transliteration systems
- Machine ethics and AGI
- Assistive technologies and personal robotics
Publications focus on NLP applications for under-resourced languages, transliteration systems (e.g., Tajik-Farsi), and machine learning models for grammatical error detection. Recent work explores curriculum learning for infant-inspired AI models and multimodal semantic processing.
Teaching includes foundational computer science courses (Discrete Math, Programming Paradigms) and advanced topics like NLP and AI. No formal advisees listed, but extensive teaching and curriculum development experience.
Active in developing open-source tools like Phramer (statistical phrase-based translator) and frameworks for event semantics in Persian.
