Hello! I am a PhD Candidate in Uncertainty Quantification Group at the University of Houston, advised by Ruda Zhang.
My research focuses on the development of stochastic representations (e.g., stochastic attention, probabilistic adaptation, and stochastic reduced-order modeling) to quantify and reduce model uncertainty in computational and machine learning models.
Education
Ph.D. in Civil Engineering, University of Houston, May 2027*
Thesis: Quantifying and Reducing Model Uncertainty using Stochastic RepresentationsM.Tech (Research) in Civil Engineering, Indian Institute of Science, Bangalore, June 2023
Thesis: Structural Health Monitoring Accounting for Thermal Variability and Damage Using Approximate Bayesian Computation (ABC)B.Tech in Civil Engineering, Indian Institute of Technology, Roorkee, May 2018
Thesis: Design of Hydro Power Project
News
March 20, 2026 – Received the Student Travel Award for the 17th World Congress on Computational Mechanics and 10th European Congress on Computational Methods in Applied Sciences and Engineering (WCCM/ECCOMAS 2026) by the United States Association for Computational Mechanics (USACM).
December 25, 2025 – Attended The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025) at San Diego, California.
September 25, 2025 – Attended The Third Scientific Machine Learning for Differential Equations workshop at the Oden Institute for Computational Engineering & Sciences, The University of Texas at Austin.
Contact
ayadav4 ‘at’ uh ‘dot’ edu
For collaboration opportunities, project discussions, or professional inquiries, feel free to reach out via email. You can also reach me via LinkedIn.