Neural Sensing, Modeling, and Understanding

This graduate seminar explores selected topics in neural-driven wireless sensing drawn from the recent research literature and industry. Neural networks are opening up exciting new possibilities to harness the ambient wireless and acoustic transmissions around us for sensing purposes. Our smartphones, devices, and nearby cell towers and hotspots provide readily available signals that neural networks can analyze in order to create in situ models of the world, sense movements, and enable navigation of autonomous agents.

Instructor: Kyle Jamieson

xkcd cartoon

Image credit: xkcd

This seminar is open to graduate students; undergraduate seniors interested in taking this course require permission from the instructor. COS 461, ECE/COS 368, COS 333, COS 318, COS 316, and COS 217 are all relevant to the material in 597S. All participants of the seminar are required to present papers and lead discussions. Students taking this seminar for credit are required to complete an independent project either individually or in a small team, and deliver a project presentation at the end of the semester.

Schedule

  • Tuesdays, 2:55 PM–4:15 PM: Seminar Meeting in 301 Computer Science
  • Thursdays, 2:55 PM–4:15 PM: Seminar Meeting in 301 Computer Science

Grading

  • Participation: 30% (of this, 50% Perusall, 50% in-person)
  • Oral Presentations: 30% (of this, 50% paper presentations, 50% design project presentation)
  • Research Project (due on Dean’s Date): 40%