For prospective students:
Prospective graduate (MS and PhD) students:
Funding is available for PhD students, but unfortunately not for MS students.
For PhDs, I rarely offer RA support to students who I havenot had the chance to work with,
as an instructor and as a research advisor. If you are interested in working with me toward a PhD,
the best option is to take a graduate course I offer and let me know about your interest
in the beginning of the semester.
I usually have unfunded positions for MS theses or non-thesis MS research projects.
These often involve computations - and sometimes - experimentation and prototyping.
For computational work involving optimization, you need some background in (1) linear algebra and (2) probability.
For background in linear algebra, the suggested course is "MAS4105 - Linear Algebra 1". For probability,
the suggested course is "EEL 5544 - Noise in Linear Systems". Both courses are offered every fall,
and only in the fall. Sometimes there are simulation-based projects involving complex thermal systems,
so a course in heat transfer/HVAC systems is useful for those projects.
If you are interested in a PhD position, you are strongly recommended to take the two courses
mentioned above. Note that they are only offered in the Fall. I also expect you to read a couple of
my recent papers (see my Google scholar page) and provide a critique of those papers
when you discuss your interest with me.
Prospective undergraduate students:
I am looking for undergraduate student researchers who have good Python programming skills
and/or expertise in Arduino/R-Pi's. Email me with a resume and an unofficial transcript if interested.