Teaching
An advanced look at User Interface issues associated with mobile devices, e.g. smart phones. This course is for graduate students who have already taken a course in human-computer interaction and already know how to program non-trivial applications on at least one mobile device. Through literature review, and experimentation, students will learn how the advent of mobile devices is changing our approach to human-computer interactions, and will practice a quantitative approach to evaluating the effectiveness of user interface concepts.
Research Interests
I am currently looking for students who know Haskell.
If you are interested in applying your
knowledge to higher assurance, high performance scientific computing (like medical image reconstruction), please email me.
Given the large number of applications I receive, I will not read email with attached resumes or letters.
I will only open attached published articles, preprints or
technical reports.
I will not respond to generic emails.
Links
- Tips for students
- Experimental Algorithm Analysis guides you in doing meaningful (and fair) algorithm comparisons.
- Giving a Talk.
- Magnetic Resonance Imaging
- The International Society for Magnetic Resonance in Medicine has a
good page of educational links.
New Software Economy
App Market
Pictures
- Real-time SSFP Teardrop
 |
By optimizing the read-out portion of a SSFP acquisition, we were
able to increase the sampling duty-cycle (the percentage of the
acquisition devoted to collecting data). This leads to higher frame
rates for and enables real-time cardiac imaging with equipment
otherwise incapable of it. |
