传记
Dr. 卡尔维. Hoover is Associate Professor 和 Director of Laboratories in the Department of 机械 和 Aeronautical Engineering at Clarkson University. Dr. Hoover teaches h和s-on experimental engineering courses in our laboratories 和 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 和 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 研究. Carl managed Elder's R&D组合, led a world-class team of data scientists, 和 served on several defense 和 intelligence applied research projects. Carl continues to consult as a Senior Advisor at Elder 和 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, 智能传感器, 物联网, autonomous vehicles, 数据中心电源 & thermal management, flight simulation, additive manufacturing, calibration & metrology, industrial process controls 和 biomechanical sensors. Carl earned mechanical engineering doctorate 和 masters degrees from Clarkson University 和 a bachelor's degree from the University of Virginia.
Education Background
Ph.D. & M.S. - Clarkson University
BS - University of Virginia
课程
- ME201 - Introduction to Experimental Methods in 机械 Engineering
- ME301 - Experimental Methods in 机械 Engineering
- ME401 - Advanced Experimental Methods in 机械 Engineering
- AE201 - Introduction to Experimental Methods in Aeronautical Engineering
- AE301 - Experimental Methods in Aeronautical Engineering
- AE401 - Advanced Experimental Methods in Aeronautical Engineering
- ES220 -静电
- ME341 - Mechanics of Machine Elements
- ME411 - Heat Transfer
研究兴趣
My research interests are in machine learning 和 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 和 gait, 和 aerospace virtual twin engineering.
出版物
- 周,V., Kent, Góngora, Ballerini, 胡佛,C.D., Towards Automatic Extractive Text Summarization of A-133 Single Audit Reports with Machine Learning, arXiv: 1911.06197, November 2019.
- 胡佛C.D.布朗克·J.新泽西州杰曼(Jermann.夏普，R. Video Intelligence Analytics A Survey of Task-based Machine Learning Content Extraction Services for VIDINT, An Elder 研究 Tool Comparison Report, 2019年7月. [pending submission]
- 胡佛,C. D.福尔克，G. D. 菲特，K. B., Stair Ascent with a Powered Transfemoral Prosthesis Under Direct Myoelectric Control, IEEE/ASME Transactions on Mechatronics, 体积. 18, No. 3, pp. 11911200, June 2013.
- 胡佛,C. D.福尔克，G. D. 菲特，K. B., The Design 和 Initial Experimental Validation of an Active Myoelectric Transfemoral Prosthesis, ASME Journal of Medical Devices, 卷. 6, no. 1, pp.011005-12, March, 2012.
- 胡佛,C. D., 菲特,K. B.福尔克，G. 福尔摩斯博士., Myoelectric Torque Control of an Active Transfemoral Prosthesis during Stair Ascent, 2011 ASME Dynamic Systems 和 Control Conference, WeBT6.1, pp. 2011年11月1-8日.
- 胡佛,C. D. 和 菲特,K. B., A Configuration Dependent Muscle Model for the Myoelectric Control of a Transfemoral Prosthesis, 2011 International Conference on Rehabilitation Robotics, 2011年6月.
- 胡佛,C. D. 和 菲特,K. B., Development of a Powered-Knee Transfemoral Prosthesis Prototype, ASME 2011 Summer Bioengineering Conference, sbc2011 - 53305, 2011年6月.
- 胡佛,C. D. 和 菲特,K. B., Preliminary Evaluation of Myoelectric Control of an Active Transfemoral Prosthesis During Stair Ascent, 2010 ASME Dynamic Systems 和 Control Conference, TuBT2.3, pp. 1-8, September 2010.