Students

  • Students

PhD Students

Ph.D. students work on four- to six-year projects focused on blending deep theory with hands-on reduction-to-practice of Deep Technologies.

Adam Terwilliger

Computer Vision
Adam's LinkedIn

Juuso Autiosalo (Visiting)

Data Proxies
Juuso's Webpage

Karthik Karur

Automotive Embedded Systems
Karthik's LinkedIn

Georgios Pappas (Dual-Degree with NTUA)

Augmented and Virtual Reality
title

MS Students

MS students work on one- to two-year projects focused primarily on implementation of Deep Technology.

Umberto Coda (Visiting)

Pervasive Automotive Sensing
Umberto's LinkedIn

Previous Students

Students who were members of the DeepTech lab, whether as undergraduate researchers, or visiting, MS, or PhD students.

Harrison Fernandez

Cognitive Protection Systems
Harrison's LinkedIn

Matthew Rhodes

Pervasive Sensing for Cyclists
Matthew's LinkedIn

Accepting New Students

We are always looking for postdocs and students of all levels! Contact Dr. Siegel with your CV and research interests for more information.

Contact us