Projects

Current and Past Projects   

CAIML has already completed a number of projects, and several are ongoing. A brief synopsis of each project is given below.  

Vistra Corp 

The project focused on electricity price prediction in the presence of battery storage using machine learning and optimization technology. The project was motivated by Vistra’s 400-megawatt energy storage system in Moss Landing, CA, which required its price forecasting algorithms to be reworked. 2020. 

InfoVision, Inc 

The goal of this project was to use drone technology for warehouse automation, specifically, automated inventory-taking. 2021. 

Atos Corp 

Explainability is a major challenge for machine learning systems. As part of this project, explainable machine learning algorithm developed by CAIML researchers were refined and incorporated in Atos’ machine learning tool chain that it offers to its customers. 2021. 

Rayburn Electric 

The project’s goal is to predict load on the Texas grid, forecast electricity prices, and optimize bids for Texas electricity market (ERCOT) using machine learning technologies. 2021-23.  

Tessolve, Inc: 

The project deals with routing and assignment problem for a PCB-based logic tester system that can auto-assign ATE (Automatic Test Equipment) Tester channel pins to the DUT (Device Under Test) signal pins. 2022-23. 

Digit7 Corp 

Digit7 Corp is in the business of developing touchless self-checkout systems. CAIML researchers will help Digit7 in making their solution scalable and achieve high accuracy. 2023. 

Nexco Corp 

Nippon Expressway Co. is a Japanese company responsible for maintaining highways in Japan. Nexco uses a machine learning based tool to estimate the health of a road. CAIML researchers will help Nexco develop a system to automatically prioritize road repairs based on various constraints. 2023.  

Vistra Personnel Training in AI Technologies 

CAIML has taught a series of beginners, intermediate, and advanced courses to Vistra personnel to bring them up to speed on state-of-the-art AI and machine learning technologies. These courses are taught by CAIML researchers, who are CS faculty members.