Craig Truempi portrait

Craig Truempi

Adjunct Faculty
Office
OSS 228
Phone
612-599-9052

Areas of Interest and Expertise:

Data science, artificial intelligence, IIoT, predictive and edge analytics, digital ecosystems, and "business results".

Career Highlights:

Craig currently specializes in artificial intelligence, Internet of Things and digital ecosystems focused on asset management, predictive analytics, and reliability programs. His passion is applying state-of-the-art technology and data science algorithms to automate manual analytics and manual human tasks. Data sources include existing business systems, plant floor systems, wireless and IIOT devices. Industries served include: energy, mining, paper, food, oil and gas, refining, and chemical.

Craig offers expertise as president and vice president of small business, chairman, co-chairman, and member of several boards, director of multiple startup business units, published author of numerous data science and artificial intelligence articles, award winning team player, and accomplished executive growing fast, profitable, and productive businesses.

In his spare time Craig enjoys being with his wife and four children, being active outdoors, watching youth sports, going to the cabin and exploring in the wilderness.

Publications:

Vibration Analysis Using Human and Artificial Intelligence - Pump & Systems, June 2019

IoT – Enabled Pumps Could Rejuvenate the Oil & Gas Sector – Forbes, May 2019

Why move from condition monitoring to predictive maintenance – Part 2, IBM Internet of Things Blog, April 2019

Predictive Maintenance vs Legacy Condition Monitoring – Pump & Systems, March 2019

Why move from condition monitoring to predictive maintenance – Part 1, IBM Internet of Things Blog, March 2019

7 Elements of IoT for Predictive Pump Maintenance – Pump & Systems, January 2019

Good Vibrations -  Water & Waste Digest, October 2018

Industrial IoT to Drive Production Efficiency, Innovation, Maintenance and Productivity – The Fuel Ethanol Workshop & Expo, June 2018

Predictive Analytics in Industrial IoT – datascience.com, June 2018

Connecting Machinery to the Internet of Things – The Reliability Conference, April 2018

Internet of Things and AI – The Reliability Conference, April 2018

Internet of Things and Data Science – SMRP, April 2018

Industrial Internet of Condition Monitoring – Vibration Institute, Dec 2017

Internet of Things and Data Science – IMVAC – International Maintenance and Vibration Analysis Conference, Nov 2017

IIoT Connected Condition Monitoring – The Reliability Conference, April 2017

Machines can’t call in sick – IoT Fuse, April 2017

Eliminate the bad bay with wireless vibration monitoring – Emerson Global User Exchange, October 2014

Awesome wireless technologies – Energy Generation Conference, January 2014

Academic History:

BS in Electrical and Electronic Engineering – North Dakota State University

MBA -University of Minnesota

Summer 2020 Courses

Summer 2020 Courses
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Fall 2020 Courses

Fall 2020 Courses
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J-Term 2021 Courses

J-Term 2021 Courses
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