Please forgive this form letter as a reply but, as you might imagine, I get many such enquiries.
To start the application process, please go to this site.
To help you out, I list below some answers to frequently asked questions.
If the following does not answers your questions then please feel free to email me and I will do my best to reply to your queries.
American universities accept new graduate students for start-of-study in mid-August and mid-January.
The application process for those dates starts months in advance. You should be planning your application at least one year before your desired start date. I have no authority to accept students but, once they are accepted, I can supervise graduate students. So please review our admissions procedures at our departmental Web site.
That said, during the admissions review process, all faculty are sent a sheet listing the candidate students and I am allowed to "nudge" a handful of names. So if you elect to enroll here then please ping me so I can watch for your application in the system.
When writing to a CS prof in the USA, here is some advice on how to attract their attention.
Do not send a form letter-- we get enough of those.
To prove that you are not sending a form letter, best to make some reference to their current research, perhaps even to one of their recent papers (and how your prior work or interests match up).
Demonstrate that you have done a little homework before sending and email about the department. E.g.
As to me supervising you, I do not take on students until they have completed one of my grad subjects. This lets us check each other out before we commit too much to each other.
As to funding, I do not guarantee that my supervised students get funding from me. Funding comes and goes depending on the whims of the funding agencies and my policy is to fund my long-term Ph.D. students before anyone else.
Mail: Com.Sci., 890 Oval Dr, Raleigh, NC, USA, 27695-8206.
Apr 12: New NSF grant $124K, SE for Computational Science
Mar 30: Bayesian Optimization for Finding Best Cloud VM More...
Mar 2: For MSR'18: 500+ Times Faster Than Deep Learning More...
Mar 2: For MSR'18: Data-Driven Search-based Software Engineering More...
Jan 30: For TSE: Bellwethers, Baselines For Transfer Learning More...
Jan 22: For SEIP'18: Impact of "Heroes" on Software Development More...
Jan 22: For SEIP'18: Connection Between Issues, Bugs, and Enhancements? More...
Dec 28: A deep learning model for estimating story points More...
Dec 25: Now TOSEM distinquished referee, 2011 to 2016. More...
Dec 22: Invited to SSBSE'18 program committee