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Electrical and Computer Engineering

College of Engineering and Applied Science

Domen Novak

Assistant Professor of Electrical & Computer Engineering

Room 5028, Engineering Building
University of Wyoming
College of Engineering and Applied Science
Department of Electrical & Computer Engineering
Dept. 3295
1000 E University Avenue
Laramie, WY 82071
dnovak1@uwyo.edu
Phone: 307.766.5599

Domen Novak

Education:

  • Diploma Electrical Engineering, University of Ljubljana, Slovenia
  • Ph. D. Electrical Engineering, University of Ljubljana, Slovenia


Academic experience:

  • Assistant Professor: September 2014 to present, University of Wyoming
  • Postdoctoral fellow: May 2012 to August 2014, ETH Zurich, Switzerland

 

Areas of expertise:

Dr. Novak's main research area is human-robot interaction, particularly rehabilitation robotics. He is interested in the information that robots can obtain about humans' performance, intentions and emotional states via sensors such as heart rate, electromyography, electroencephalography, eye tracking etc. He is furthermore interested in how robots can motivate humans to exercise using interesting virtual environments and other types of feedback. To achieve his goals in this area, he makes use of expertise in robotics, biomedical signal processing, sensor fusion and virtual reality.

Selected journal articles:

  1. D. Novak, A. Nagle, U. Keller and R. Riener, “Increasing motivation in robot-aided arm rehabilitation with competitive and cooperative gameplay,” Journal of NeuroEngineering and Rehabilitation, 2014.
  2. D. Novak, A. Nagle and R. Riener, “Linking recognition accuracy and user experience in an affective feedback loop,” IEEE Transactions on Affective Computing, 2014.
  3. D. Novak, M. Goršič, J. Podobnik and M. Munih, “Toward real-time automated detection of turns during gait using wearable inertial measurement units,” Sensors, in press.
  4. D. Novak, X. Omlin, R. Leins-Hess and R. Riener, “Predicting targets of human reaching motions using different sensing technologies,” IEEE Transactions on Biomedical Engineering, 2013.
  5. D. Novak, P. Reberšek, S. M. M. De Rossi, M. Donati, J. Podobnik, T. Beravs, T. Lenzi, N. Vitiello, M. C. Carrozza and M. Munih, “Automated detection of gait initiation and termination using wearable sensors,” Medical Engineering & Physics,  2013.
  6. D. Novak, M. Mihelj and M. Munih, “A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing,” Interacting with Computers, 2012.
  7. M. Mihelj, D. Novak, M. Milavec, J. Ziherl, A. Olenšek and M. Munih, “Virtual rehabilitation environment using principles of intrinsic motivation and game design,” Presence: Teleoperators and Virtual Environments, 2012.
  8. D. Novak, M. Mihelj, J. Ziherl, A. Olenšek and M. Munih, “Psychophysiological measurements in a biocooperative feedback loop for upper extremity rehabilitation,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2011.
  9. A. Koenig, D. Novak, X. Omlin, M. Pulfer, E. Perreault, L. Zimmerli, M. Mihelj and R. Riener, “Real-time closed-loop control of cognitive load in neurological patients during robot-assisted gait training,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2011.
  10. D. Novak, J. Ziherl, A. Olenšek, M. Milavec, J. Podobnik, M. Mihelj and M. Munih, “Psychophysiological responses to robotic rehabilitation tasks in stroke,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2010.

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Electrical and Computer

Engineering, EN 5068

Dept. 3295

1000 E. University Ave.

Laramie, WY 82071

Phone: (307)766-2279

Email: ece@uwyo.edu

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