My grad students at the RAISE (real-world AI for SE) lab:
We find simple solutions to seemingly hard problems.
Turns out, the world is much simpler than we thought. With the right tools, it is fast and easy to discover simple models for prediction and control. E.g. how to optimize hard problems; transfer lessons learned between software projects; share privitized data; and explain ideas very succinctly.
So what can we simplify for you?
I need talented grad students for AI+SE. Is that you?
Ask me how to innovate. On time. On budget.
Over $8M. From many sources, e.g.:
SNAIL MAIL: Computer Science, NC State University, 890 Oval Dr, Raleigh, NC, 27695-8206.
Oct 12: Appointed co-PC chair for Syposium on Search-Based Software Engineering (SSBSE'17) More...
Oct 7: Successfully completed ICSME'16 as co-general chair. More...
Sept 20: Paper accepted with minor revisions, EMSE journal, Negative Results about Effort Estimation More...
Sept 16: Invited to give keynote, 2nd Int. Workshop on Software Analytics (SWAN 2016) in Nov More...
Sept 15: Recommendations for Intelligence Core Reorganization. Sent to IST journal More...
Sept 9: Why DE is better than grid search. Sent to IST journal. More...
Sept 7: My new book is here. More...
Sept 1: I'm now an author of a top 100 most cited/year papers in SE More...
Aug26: Breakthrough in multi-objective optimization Sent to TSE More...
Aug26: 9000+ SE conference papers clustered. Sent to ICSE'17 More...