Carl Hoover

Associate Professor / Director of MAE Laboratories
Carl  Hoover Headshot

Biography

Dr. Carl D. Hoover is Associate Professor and Director of Laboratories in the Department of Mechanical and Aeronautical Engineering at Clarkson University.  Dr. Hoover teaches hands-on experimental engineering courses in our laboratories and researches machine learning engineering applications.  Dr. Hoover oversees several engineering research facilities in the Center for Advanced Materials Processing building at Clarkson including our wind tunnel facility and several mechanical testing labs.  Carl brings over 15 years of industry experience to the classroom with experience ranging from aerospace test engineering to executive leadership.  Prior to returning to academia, Carl served as Chief Technology Officer of the global data science firm Elder Research.  Carl managed Elder's R&D portfolio, led a world-class team of data scientists, and served on several defense and intelligence applied research projects.  Carl continues to consult as a Senior Advisor at Elder and teaches data science through Mizzou's Data Science & Analytics graduate program. Dr. Hoover is modernizing Clarkson's engineering laboratory experience with new applications in aerospace virtual twin, smart sensors, Internet of Things, autonomous vehicles, data center power & thermal management, flight simulation, additive manufacturing, calibration & metrology, industrial process controls and biomechanical sensors.  Carl earned mechanical engineering doctorate and masters degrees from Clarkson University and a bachelor's degree from the University of Virginia.

Education Background

Ph.D. & M.S. - Clarkson University
BS - University of Virginia

Courses Taught

  • ME201 - Introduction to Experimental Methods in Mechanical Engineering
  • ME301 - Experimental Methods in Mechanical Engineering
  • ME401 - Advanced Experimental Methods in Mechanical Engineering
  • AE201 - Introduction to Experimental Methods in Aeronautical Engineering
  • AE301 - Experimental Methods in Aeronautical Engineering
  • AE401 - Advanced Experimental Methods in Aeronautical Engineering
  • ES220 - Statics
  • ME341 - Mechanics of Machine Elements
  • ME411 - Heat Transfer

Research Interests

My research interests are in machine learning and experimental testing. Current projects include AI machine design automation with bond graph deep learning, aeroelastic impedance control, temporal relational dependence modeling in STEM, predicting mood from posture and gait, and aerospace virtual twin engineering.

Publications

  • Chou, V., Kent, Góngora, Ballerini, Hoover, C.D., Towards Automatic Extractive Text Summarization of A-133 Single Audit Reports with Machine Learning, arXiv:1911.06197, November 2019.
  • Hoover C.D., Brunk J., Jermann, N., Sharp, R. Video Intelligence Analytics A Survey of Task-based Machine Learning Content Extraction Services for VIDINT, An Elder Research Tool Comparison Report, July 2019. [pending submission]
  •  Hoover, C. D., Fulk, G. D. and Fite, K. B., Stair Ascent with a Powered Transfemoral Prosthesis Under Direct Myoelectric Control, IEEE/ASME Transactions on Mechatronics, Volume. 18, No. 3, pp. 11911200, June 2013.
  • Hoover, C. D., Fulk, G. D. and Fite, K. B., The Design and Initial Experimental Validation of an Active Myoelectric Transfemoral Prosthesis, ASME Journal of Medical Devices, vol. 6, no. 1, pp.011005-12, March, 2012.
  •  Hoover, C. D., Fite, K. B., Fulk, G. and Holmes, D., Myoelectric Torque Control of an Active Transfemoral Prosthesis during Stair Ascent, 2011 ASME Dynamic Systems and Control Conference, WeBT6.1, pp. 1-8, November 2011.
  • Hoover, C. D. and Fite, K. B., A Configuration Dependent Muscle Model for the Myoelectric Control of a Transfemoral Prosthesis, 2011 International Conference on Rehabilitation Robotics, June 2011.
  • Hoover, C. D. and Fite, K. B., Development of a Powered-Knee Transfemoral Prosthesis Prototype, ASME 2011 Summer Bioengineering Conference, SBC2011-53305, June 2011.
  • Hoover, C. D. and Fite, K. B., Preliminary Evaluation of Myoelectric Control of an Active Transfemoral Prosthesis During Stair Ascent, 2010 ASME Dynamic Systems and Control Conference, TuBT2.3, pp. 1-8, September 2010.

Contact

Email:
choover@clarkson.edu

Office Phone Number: 315/268-3823

Office Location: 264 CAMP Building

Clarkson Box Number: CU Box 5725

Website: sites.clarkson.edu/choover

Zoom ID URL: https://www.clarkson.edu/people/carl-hoover

Office Hours

  • Monday: 10-12
  • Wednesday: 10-12
  • Friday: 10-12