Yuichi Motai

Yuichi Motai
Born Yuichi Motai
Japan
Education Purdue University
Alma mater

Yuichi Motai is a researcher, professor, and book author. He serves as director of the Sensory Intelligence Laboratory at Virginia Commonwealth University (VCU); as an associate professor of Electrical and Computer Engineering Department. Motai is also a past professor at University of Vermont; He was a visiting faculty of Air Force Research Lab at Hanscom MA, and Harvard Medical School, Boston, MA.[1]

Motai received his Ph.D at Purdue University, West Lafayette, IN, after completing his MS and BS education in Japan. His prominence within his profession is in the fields of Engineering Data-intensive Prediction and Classification for Medical Testbeds with Nonlinear, Distributed, and Interdisciplinary Approaches. With his outcomes, four books are recently published, which includes Data-variant kernel analysis, published in 2015 by John Wiley & Sons.

Published Works

Title(ISBN #) Publisher(Year)
Prediction and classification of breathing motion (9783642415098)[2] Springer (2014)
Electromagnetic trackers for augmented reality systems (9781627055079)[3] ACM Morgan & Claypool (2014)
Data-variant kernel analysis (9781119019329)[4] John Wiley & Sons (2015)
Predicting vehicle trajectory (9781138030190)[5] CRC Taylor & Francis (2017)

Research

Dr. Motai’s publications address both fundamental and applied problems of sensory intelligence, which may adjust to specific application domains such as medical imaging, pattern recognition, computer vision, sensory-based robotic, and biomedical applications. The majority of 39 high-standard journals was published in the IEEE Transactions, in the research area of 1) Sensory Intelligence, focused on 2) Adaptive Prediction and 3) Online Classification methodologies. [6]

  1. Sensory Intelligence: Fundamentals of robotic vision and data-intensive computing.
  2. Adaptive Prediction: Kalman filter bank, Optimized prediction, Time sequences signals.
  3. Online Classification: Kernel feature analysis, Neural networks, Deep learning.
  4. Radiation Oncology: Medical imaging, 4D Cone beam computed tomography, 4D MRI.
  5. Radiology: Computer-Aided Diagnosis, Distributed Database Network, Virtual colonoscopy.

Specific applications 4) Radiation Oncology and 5) Radiology are chosen based on the medical collaborator’s expertise, such as medical professionals in radiation oncology from VCU and Washington University, and in radiology from Harvard Medical School. [7]

Teaching

Motai has offered more than 10 different courses. The 4 fields he teaches in are Pattern Recognition, Automatic Control, Dynamic and Multivariable Systems, Signals and Systems I [8]

Motai also taught at the University of Vermont, offering classes in the fields of Sensory-based robotics, Computer vision, and Ubiquitous computing.

See also

References

  1. ↑ "Yuichi Motai - Personal". People.vcu.edu. Retrieved 2017-02-16.
  2. ↑ "Prediction and Classification of Respiratory Motion | Suk Jin Lee". Springer. 2016-10-14. Retrieved 2017-02-16.
  3. ↑ "Latency and Distortion of Electromagnetic Trackers for Augmented Reality Systems". Dl.acm.org. Retrieved 2017-02-16.
  4. ↑ "Data-Variant Kernel Analysis - Yuichi Motai". Wiley. Retrieved 2017-02-16.
  5. ↑ "Predicting Vehicle Trajectory - CRC Press Book". Crcpress.com. Retrieved 2017-02-16.
  6. ↑ "Yuichi Motai - Publication". People.vcu.edu. Retrieved 2017-02-23.
  7. ↑ "Yuichi Motai - Research". People.vcu.edu. Retrieved 2017-02-16.
  8. ↑ "Yuichi Motai - Teaching". People.vcu.edu. Retrieved 2017-02-16.
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