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


Papers

What I do at Stanford:

I advise graduate students, teach graduate courses, and lead projects. My current work is in systems using mathematical algorithms for analysis of large data sets, Big Data analytics.

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

A seminar class Intelligent Energy Systems: Big Data will be taught in Spring 2015, jointly with Professor Dan O'Neill. The class was taught in Spring 2014, Spring 2013, Spring 2012, and Spring 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 Big Data 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 academic community has related cyber-physical systems research area. 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 past work was in related areas of decision and control systems and in signal processing. These are analytical applications for OT. 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