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Dimitry GorinevskyConsulting Professor, Information Systems Laboratory
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I advise graduate students, teach graduate courses, and lead projects.
I coordinate Stanford Industrial AI Initiative, which is a part of
Stanford SystemX Alliance.
Industrial AI provides advanced analytical applications for the Industrial Internet of Things (Industrial IoT).
The digital transformation driven by Industrial AI touches much of the economy.
A seminar class on Industrial AI is taught in
Spring 2024, see
Spring 2023,
2021.
Its predcessor, a seminar on Industrial IoT Applications, was taught in
Spring 2019,
2018,
2017, and
2016.
Seminar on
Intelligent Energy Systems: Big Data was taught in
2015,
2014,
2013,
2012, and
2011.
Past classes include
Fault Diagnostics Systems in Spring 2009
as well as
Control Engineering in Industry in Spring 2005 and in
Winter 2003.
My current interests are in Industrial AI applications for supply chain processes. Other applications include aerospace systems and electrical power, as well as extreme events risks. Current work extends methods from machine learning, statistics, signal processing, decision & control, optimization, and operations research.
If you are a graduate student, who is interested in the Industrial AI, please feel free to contact me. There might be an opportunity to work in this area.
My company
Mitek Analytics LLC works
with US Air Force, NASA, electrical utilities, airlines, Fortune 500 industrial companies, and large IT companies.
Previously, I spent a decade with
Honeywell working
on aircraft and space systems,
turbomachines (jet engines), and process control applications. Earlier work includes automotive and robotics
(force control of robotics systems,
legged locomotion) applications.
Extreme Weather Events in the Changing Climate is a collaboration with Professor Steven Chu. The analysis of NASA/NOAA data shows that the risk of a 100-year heat wave in US has doubled over the last 40 years.
Planning Reliable Grid with Variable Generation and Storage is a collaboration with Professor Sanjay Lall and Professor Stephen Boyd. The project sponsored by Stanford Bits and Watts Initiative developed tools for capacity planning in the future low-carbon grid.