Scott Ryan Ensel

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About Me

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Hi, nice to meet you! My name is Scott.
I'm a first year PhD student at the University of Pittsburgh focusing in neural engineering. I am currently applying my skills in programming and bioengineering to help advance the field of brain machine interfaces.
I hope to be at the forefront of artificial intelligence capabilities and to utilize them to make the world a better place for those who are less fortunate. My inspiration came in 2012 when I watched Nigel Ackland showing off his new prosthetic, the "terminator" arm.

My Hobbies

- I am obsessed with weightlifting and staying active
- I enjoy painting or doing other arts and crafts projects. Some of my projects

Favorite Quotes

"Discipline creates freedom" - Jocko Willink
"This is for shaking hands. This is for being human" - Nigel Ackland


- Become fluent in a second language
-Compete in a powerlifting competition. Michigan APF meet on 3/14/2020
- Earn my blue belt in Brazilian jiu-jitsu


Pittsburgh Logo
University of Pittsburgh | Pittsburgh
PhD - Biomedical Engineering: Neural Engineering
Starting September 2020
Umich Logo
University of Michgan | Ann Arbor
M.S. - Electrical & Computer Engineering: Signal and Image Processing and Machine Learning
M.S. - Biomedical Engineering: Bioelectrics and Neural Engineering
September 2017 - December 2019
UMD Logo
University of Maryland | College Park
B.S. - Bioengineering
September 2013 - May 2017
Cortical Neural Prosthetics Laboratory | Directed Research
Ann Arbor, Michigan - September 2018 to July 2020
• Built a custom computer to interface with simulink real-time system to run Pytorch deep learning models in real time
• Created a deep learning model that outperforms ReFIT Kalman filter for continuous decoding
• Created a function to track RPNI movement in multiple ultrasound videos
• Implemented canny edge detection and PCA to optimize movement tracking of RPNI
Terumo Heart, Inc | Optical Engineering Intern
Ann Arbor, Michigan - May 2018 to January 2019
• Performed multiple image processing techniques on OCT and IVUS images
• Created thirteen functions to automate testing of OCT and IVUS catheter imaging performance
Children's National Health System | Research Intern
Washington, D.C. - June 2016 to June 2017
• Collected, anonymized and segmented radiology data in preparation for deep learning projects
• Managed clinical and image specific databases for eight different quantitative imaging projects
• Evaluated CT, MRI, ultrasound and X-ray images for quality control
Graduate Student Instructor/Teaching Assistant
• University of Michigan - Fall 2018

- From the Big Bang to the Milky Way

• University of Maryland - Fall 2016, Fall 2015

- Computer-Aided Design in Bioengineering

- General Chemistry I Laboratory

• Machine Learning
• Deep Learning
• Deep Learning for Computer Vision
• Optimization for Signal and Image Processing
• Matrix Methods for Signal Processing, Data Analysis and Machine Learning
• Foundations of AI
• Neural Engineering
• Probability and Random Processes
• Intro to MEMS
• Human Neuroanatomy


-Antonio R Porras, Beatriz Paniagua, Scott Ensel, Robert Keating, Gary F Rogers, Andinet Enquobahrie, Marius George Linguraru
"Locally Affine Diffeomorphic Surface Registration and Its Application to Surgical Planning of Fronto-Orbital Advancement," in IEEE Transactions on Medical Imaging, vol. 37, no. 7, pp. 1690-1700, July 2018. doi: 10.1109/TMI.2018.2816402
-Liyun Tu, Antonio R Porras, Scott Ensel, Deki Tsering, Beatriz Paniagua, Andinet Enquobahrie, Albert Oh, Robert Keating, Gary F Rogers, Marius George Linguraru
"Intracranial volume quantification from 3D photography," in Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures, Cham, Switzerland:Springer, vol. 10550, pp. 116-123, 2017.
-Pooneh R Tabrizi, Rawad Obeid, Awais Mansoor, Scott Ensel, Juan J Cerrolaza, Anna Penn, Marius George Linguraru
"Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage," 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, 2017, pp. 169-172. doi: 10.1109/EMBC.2017.8036789

-Antonio R Porras, Beatriz Paniagua, Andinet Enquobahrie, Scott Ensel, Hina Shah, Robert Keating, Gary F Rogers, Marius George Linguraru
"Locally affine diffeomorphic surface registration for planning of metopic craniosynostosis surgery," In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. MICCAI 2017. Lecture Notes in Computer Science, vol 10434. Springer, Cham


Continuous Decoding of Myoelectric Signals using Time Latent Variable Models

Deep Learning
-Implemented state of the art deep learning architectures to map noisy EMG signals to prosthetic movements
-Presented data to support deep learning models are more effective at predicting finger postions than previous decoding efforts

January 2019 - April 2019
More information available at:
Link to GitHub, Report and Poster

Quantitative Analysis of RPNI Movement in Ultrasound

-Used PCA and canny edge detection to outline individual RPNI's in ultrasound
-Still improving on hyperparameters and evolving the effectiveness of this strategy

September 2018 - December 2018
More information available at:
Link to Project Report

Electrochromic Light Shielding Device

Team 13
- Designed a new electrochromic device for neonatal incubators
- Patent pending
- Transparency values range from 50% to 90% based on differing voltages

August 2016 - May 2017
More information available at:
Scroll to Team 13







Image and Signal Processing

Machine Learning                       

Deep Learning                              

Computer Vision                         

I'm happy to hear from you - Find me on:



Google Scholar

sensel AT umich DOT edu