Ramyaa Ramyaa

Ramyaa Ramyaa is an Assistant Professor in Computer Science at New Mexico Institute of Mining and Technology. Her research bridges theoretical computer science and machine learning, with focus areas including:

• Implicit complexity linking logical concepts to computational complexity
• Learning symbolic models using non-symbolic approaches
• Differential Inductive Logic Programming
• Reinforcement learning for pipeline synthesis

Recent publications explore distributional learning frameworks and differentiable inductive logic programming techniques. Teaching includes courses on Formal Languages (CSE 342), Reinforcement Learning (CSE 489/589), and Theory of Computation (CSE 546).

Additional affiliations include instructor roles in Criminal Justice Data Analysis certificate programs and membership in academic committees including Theory Section of the International Studies Association.