Consulting Professor, Information Systems Laboratory
I advise graduate students, teach graduate courses, and lead projects.
My current work is in systems using mathematical algorithms
for 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 project in Analysis and Control of Smart Electrical Distribution Systems is a collaboration with Professor Sanjay Lall.
A seminar class Intelligent Energy Systems: Big Data is taught in Spring 2013, jointly with Professor Dan O'Neill. The class was taught in 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.
My current interest is in Big Data.
The 'soft' applicatons of Data Science, like advertising, are well established.
The emerging applications use M2M (Machine to Machine) data in the Internet of Things. They deal with 'hard' engineered systems, like jet engine fleet or Smart Grid.
Analytical processing of the M2M big data is often mission critical.
The problems are related to identification, estimation, detection, and decision support problems in control and decision systems.
My past work was in engineering of decision and control systems,
and in signal processing. 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 NASA, the US Air Force, and Fortune 100 companies. Our software processes 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.