Dimitry Gorinevsky

Consulting Professor, Information Systems Laboratory
Department of Electrical Engineering
Stanford University

Packard 233, Stanford, CA 94305
Phone: (650) 400-3172
gorin (at) stanford.edu
Office hours: Thursdays 3-6pm, or by appointment


What I do at Stanford:

I advise graduate students, teach graduate courses, and lead projects. My current work is in analytics for Industrial Internet of Things. The mathematical algorithms help to analyze large industrial data sets and make better decisions.

Work on data analytics for computing centers includes a collaboration with Yahoo.

I work with airlines and collaborate with Professor Stephen Boyd in optimization-based methods for data processing used in NASA aerospace applications and in electrical utilities industry. I am an Affiliated Faculty Member of the Precourt Institute for Energy. A project in Analysis and Control of Smart Electrical Distribution Systems was a collaboration with Professor Sanjay Lall.

A seminar class on Industrial Internet of Things, is taught in Spring 2016, jointly with Professor Dan O'Neill. The earlier seminar on Intelligent Energy Systems: Big Data was taught in Spring of 2015, 2014, 2013, 2012, and 2011. Past courses include Fault Diagnostics Systems in Spring 2009 as well as Control Engineering in Industry in Spring 2005 and in Winter 2003.

Interests and Applications:

My current interest is in Industrial IoT analytics. The 'soft' applicatons of Data Science, like advertising, are well established. The emerging applications deal with 'hard' engineered systems, like jet engines or electrial power systems. This area is variously known as Industrial Internet, Internet of Things (IoT), and Internet of Everything in US industry. The NSF cyber-physical systems research area is closely reated. There is also a related European initiative, Industry 4.0. Analytical processing of industrial system data is often mission critical and is implemented as software for Operational Technology (OT) systems. The emerging trend is convergence of the OT and IT (Information Technology) systems. My earlier work was in related areas of decision and control systems and in signal processing that support OT analytical applications. Control systems engineering deals with interconnected computers and physical systems in a critical setting. In decision systems, the loop is closed through an operator.

My company Mitek Analytics LLC works with US Air Force, NASA, and Fortune 100 companies. Our software processed tens of terabytes of aircraft operational data. Previously, I spent a decade with Honeywell working on aircraft and space systems, turbomachines (jet engines), and process control applications. My earlier application experience includes automotive, robotics (force control of robotics systems, legged locomotion), and biomechanics.

Research description

Short bio, longer CV in html, long CV with a publication list in PDF