Nicholas DiFilippo

Assistant Professor

JWU Faculty Since 2019

Contact Info

Email
nicholas.difilippo@jwu.edu
Phone
401-598-2541
Campus
Providence

About Nicholas

Nicholas DiFilippo received his B.S., M.S., and Ph.D. in Mechanical Engineering all from the University of Rhode Island.

He joined the engineering faculty at Johnson & Wales University in the Fall of 2019 where he teaches courses in general engineering, mechanics, and robotics.

Prior to joining Johnson & Wales University, he worked as a postdoctoral associate at Boston University and as an engineer at different companies in Rhode Island. He also served as adjunct faculty at the University of Rhode Island, Roger Williams University, and CCRI teaching various courses in engineering.

Education

  • B.S. University of Rhode Island (2011) Mechanical Engineering
  • M.S. University of Rhode Island (2012) Mechanical Engineering and Applied Mechanics
  • Ph.D. University of Rhode Island (2016) Mechanical Engineering and Applied Mechanics

My background is in mechanical engineering and my engineering interests are in the fields of robotics and mechatronics.

Scholarly Interests

Robotics
Artificial Intelligence
Perception
Computer Vision
Automation

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Publications

  • J.F. Hellmuth, N.M. DiFilippo, and M.K. Jouaneh, "Assessment of the automation potential of electric vehicle battery disassembly," in Journal of Manufacturing Systems, vol 59, pp.398-412 , Apr. 2021, doi:10.1016/j.jmsy.2021.03.009
  • N.M. DiFilippo and M.K. Jouaneh, "Using the soar cognitive architecture to remove screws from different laptop models," in IEEE Transactions on Automation Science and Engineering, vol. 16, no. 2, pp. 767-780, Apr. 2019, doi: 10.1109/TASE.2018.2860945.
  • N. M. DiFilippo and M. K. Jouaneh, "A System Combining Force and Vision Sensing for Automated Screw Removal on Laptops," in IEEE Transactions on Automation Science and Engineering, vol. 15, no. 2, pp. 887-895, Ap. 2018, doi: 10.1109/TASE.2017.2679720.
  • N. M. DiFilippo and M. K. Jouaneh, "Characterization of Different Microsoft Kinect Sensor Models," in IEEE Sensors Journal, vol. 15, no. 8, pp. 4554-4564, Aug. 2015, doi: 10.1109/JSEN.2015.2422611.