Publications

Machine Learning, Bayesian inference/estimation, and control.

Selected peer-reviewed and accepted work on machine-learning dynamical models, Bayesian inferential motion planning, optimal inferential control, and physics-constrained learning.

First-authored

Selected work

2026 · Conference paper

Continuous-Time Optimal Control of Neural ODEs via Bayesian Inference

Ali Vaziri, et al. · IEEE Conference on Decision and Control (CDC)

Accepted

2026 · Journal article

Modular Deep Learning Framework for Vapor-Compression HVAC Systems: Scalable, Efficient, and Physically Consistent Modeling

Ali Vaziri, et al. · Applied Thermal Engineering

PublishedPaper ↗

Optimal inferential control of a convolutional neural networks

2025 · Conference paper

Optimal Inferential Control of Convolutional Neural Networks

Ali Vaziri, et al. · American Control Conference (ACC) · Best Student Paper nominee

Paper ↗Code ↗

Autonomous-vehicle overtaking scenario used for heavy-tailed Bayesian motion planning

2025 · Conference paper

Bayesian Inferential Motion Planning Using Heavy-Tailed Distributions

Ali Vaziri, et al. · American Control Conference (ACC)

Paper ↗Preprint ↗

Co-authored

Peer reviewed

Predicted and reference trajectories from the GRU vehicle model

2025 · Journal article

Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning

Iman Askari, Ali Vaziri, et al. · IEEE Transactions on Robotics

PublishedPaper ↗

Current manuscripts

In preparation

Optimal inferential control framework for machine-learning models

Manuscript

Optimal Inferential Control of Machine Learning Models

Ali Vaziri, et al.

In preparation

Manuscript

Robust GPU-Enabled Framework for Optimal Boundary and Distributed Control of PDEs

Ali Vaziri, et al.

In preparation