PhD (Miami, USA), MA (Sri Lanka), BScEng (Hons) (Moratuwa, Sri Lanka)
Dr. Prins earned her Ph.D. in Biomedical Engineering from the University of Miami, FL, USA and her B.Sc. Eng. (Hons) in Mechanical Engineering from the University of Moratuwa, Sri Lanka. She is a trained engineer and scientist in multi-disciplinary work. She has authored several publications in engineering and neuroscience journals and presented in several international conferences.
Research Experience: Previous to joining the University of Ruhuna, she was a researcher at the University of Miami where she was part of a team that conducted a clinical trial in invasive brain-machine interfaces on a person with quadriplegia (Youtube link). Prior to that she was employed at the Faculty of Medicine, University of Geneva, Switzerland where she researched on comparison of invasive (Deep Brain Stimulation) and non-invasive (EEG) neurophysiology in psychological disorders. Her PhD work used non-human primates to learn about feedback mechanisms for reinforcement learning based algorithms.
Industry Experience: She has worked in industry in Sri Lanka and the USA in the fields of electrical engineering, mechanical engineering, management and medical device regulations. Her interests include machine learning, neurophysiology, brain-computer and brain-machine interfaces, electronics and the application of engineering principles to nervous system disorders.
- EE7206 Machine Learning
- EE6209 Introduction to Biomedical Engineering
- E3301 Analog Electronics
- EE4303 Digital Electronics
- N. W. Prins, R. Mylavarapu, A. M. Shoup, S. Debnath, and A. Prasad, “Spinal cord neural interfacing in common marmosets (Callithrix jacchus),” Journal of neural engineering, vol. 17, p. 016031, 2020.
- S Debnath, N. W. Prins, E. Pohlmeyer, R. Mylavarapu, S. Geng, J. C. Sanchez, et al., “Long-term stability of neural signals from microwire arrays implanted in common marmoset motor cortex and striatum,” Biomedical physics & engineering express, vol. 4, p. 055025, 2018.
- K. Gant, S. Guerra, L. Zimmerman, B. A. Parks, N. W. Prins, and A. Prasad, “EEG-controlled functional electrical stimulation for hand opening and closing in chronic complete cervical spinal cord injury,” Biomedical Physics & Engineering Express, vol. 4, p. 065005, 2018.
- N. W. Prins, E. A. Pohlmeyer, S. Debnath, R. Mylavarapu, S. Geng, J. C. Sanchez, et al., “Common marmoset (Callithrix jacchus) as a primate model for behavioral neuroscience studies,” Journal of neuroscience methods, vol. 284, pp. 35-46, 2017.
- N. W. Prins, J. C. Sanchez, and A. Prasad, “Feedback for reinforcement learning based brain–machine interfaces using confidence metrics,” Journal of neural engineering, vol. 14, p. 036016, 2017.
- N. W. Prins, J. C. Sanchez, and A. Prasad, “A confidence metric for using neurobiological feedback in actor-critic reinforcement learning based brain-machine interfaces,” Frontiers in neuroscience, vol. 8, p. 111, 2014.
- E. A. Pohlmeyer, B. Mahmoudi, S. Geng, N. W. Prins, and J. Sanchez, “Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control,” PLOS One, 2014.
- B. Mahmoudi, E. A. Pohlmeyer, N. W. Prins, S. Geng, and J. C. Sanchez, “Towards autonomous neuroprosthetic control using Hebbian reinforcement learning,” Journal of neural engineering, vol. 10, p. 066005, 2013.
INDEXED PEER-REVIEWED FULL-LENGTH CONFERENCE PAPERS
- N. W. Prins, S. Geng, E. A. Pohlmeyer, B. Mahmoudi, and J. C. Sanchez, “Feature extraction and unsupervised classification of neural population reward signals for reinforcement based BMI,” in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, pp. 5250-5253.
- N. W. Prins, S. Geng, E. A. Pohlmeyer, A. Prasad, and J. C. Sanchez, “Representation of natural arm and robotic arm movement in the striatum of a marmoset engaged in a two choice task,” in 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013, pp. 399-402.
- S. Geng, N. W. Prins, E. A. Pohlmeyer, A. Prasad, and J. C. Sanchez, “Extraction of error related local field potentials from the striatum during environmental perturbations of a robotic arm,” in 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013, pp. 993-996.
- E. A. Pohlmeyer, B. Mahmoudi, S. Geng, N. W. Prins, and J. C. Sanchez, “Brain-machine interface control of a robot arm using actor-critic rainforcement learning,” in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012, pp. 4108-4111.
TALKS AND PRESENTATIONS
- Student Counsellor