[Devin :)]
Devin Murphy
Biography
Hello! I'm an incoming Ph.D student at University of Washington ECE, advised by Prof. Yiyue Luo and Prof. Akshay Gadre. I'm also currently an M.Eng student at MIT EECS advised by Prof. Wojciech Matusik in CSAIL and Prof. Paul Pu Liang at the Media Lab. Previously, I received my Bachelor's degree in Electrical Engineering and Computer Science at MIT.
I research how to create scalable, sustainable systems for sensing the human body and its interactions with the world. Drawn to systems that do more with less, my interests are in fabrication techniques for low profile wearables, wireless sensing, and physical artificial intelligence. [...]
Research
(* indicates equal contribution)
@misc{murphy2024wiresenstoolkitopensourceplatform,
  title={WiReSens Toolkit: An Open-source Platform towards Accessible Wireless Tactile Sensing}, 
  author={Devin Murphy and Junyi Zhu and Paul Pu Liang and Wojciech Matusik and Yiyue Luo},
  year={2024},
  eprint={2412.00247},
  archivePrefix={arXiv},
  primaryClass={cs.HC},
  url={https://arxiv.org/abs/2412.00247}, 
}
@inproceedings{10.1145/3706599.3720147,
  author = {Murphy, Devin and Li, Yichen and Owens, Crystal Elaine and Stanton, Layla and Liang, Paul Pu and Luo, Yiyue and Torralba, Antonio and Matusik, Wojciech},
  title = {Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves},
  year = {2025},
  isbn = {9798400713958},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3706599.3720147},
  doi = {10.1145/3706599.3720147},
  abstract = {Resistive tactile sensing gloves have captured the interest of researchers spanning diverse domains, such as robotics, healthcare, and human-computer interaction. However, existing fabrication methods often require labor-intensive assembly or costly equipment, limiting accessibility. Leveraging flexible printed circuit board (FPCB) technology, we present an automated pipeline for generating resistive tactile sensing glove design files solely from a simple hand photo on legal-size paper, which can be readily supplied to commercial board houses for manufacturing. Our method enables cost-effective, accessible production at under $130 per glove with sensor assembly times under 15 minutes. Sensor performance was characterized under varying pressure loads, and a preliminary user evaluation showcases four unique automatically manufactured designs, evaluated for their reliability and comfort.},
  booktitle = {Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},
  articleno = {280},
  numpages = {8},
  keywords = {Tactile Sensing, Flexible PCB, Wearable Devices},
  location = {
  },
  series = {CHI EA '25}
  }
[CalPal]
CalPal: An Intelligent Multimodal Digital Wall Calendar
Devin Murphy*, Jenny Moralejo*, Paul Pu Liang,
Education
M.Eng in Electrical Engineering and Computer Science
Feb. 2024 - May 2025
B.Sc in Electrical Engineering and Computer Science
Sep. 2018 - May 2022
Cambridge, MA
Gifted Math Program
Sep. 2013 - May 2018
Buffalo, NY
Experience
Feb. 2024 - May 2024
Cambridge, MA
Quality Engineer
Sept. 2022 - Feb. 2024
Natick, MA
Software Intern
May 2022 - Sept. 2022
London, England