Wheeler Ruml

Analytics & Data Science Program Coordinator
Phone: (603) 862-2683
Office: Computer Science, Kingsbury Hall Rm 215D, Durham, NH 03824
Wheeler Ruml

My main research is in artificial intelligence, although I also have interests in robotics, operations research, information visualization, and cognitive science. Very broadly, my goal is to understand how to build autonomous systems - for example, how a robot should decide what to do next. I'm also interested in decision support systems and in natural examples of cognition, such as humans. My current focus is on methods for heuristic search and planning, especially those that can be useful in robotics. In particular, I am interested in solving problems quickly (rational time-bounded decision-making) and in how on-line learning can inform optimization algorithms. I also enjoy experimental algorithmics.


  • Ph.D., Computer Science, Harvard University
  • A.S./B.S., Computer Science, Harvard University

Research Interests

  • Artificial Intelligence/Cybernetics
  • Operations Research
  • Optimization
  • Robotics

Courses Taught

  • CS 696W: Independent Study
  • CS 730/830: Intro Artificial Intelligence
  • CS 758/858: Algorithms
  • CS 800: Internship
  • CS 858: Algorithms
  • CS 931: Planning for Robots
  • CS 980: Top/Planning for Robots
  • CS 999: Doctoral Research

Selected Publications

Borrajo, D., Felner, A., Korf, R., Likhachev, M., Linares López, C., Ruml, W., & Sturtevant, N. (2014). The Fifth Annual Symposium on Combinatorial Search. AI Communications, 27(4), 327-328. doi:10.3233/aic-140602

Cannon, J., Rose, K., & Ruml, W. (2014). Real-time heuristic search for motion planning with dynamic obstacles. AI Communications, 27(4), 345-362. doi:10.3233/aic-140604

Burns, E., & Ruml, W. (2013). Iterative-deepening search with on-line tree size prediction. Annals of Mathematics and Artificial Intelligence, 69(2), 183-205. doi:10.1007/s10472-013-9347-9

Burns, E., Ruml, W., & Do, M. B. (2013). Heuristic Search When Time Matters.. J. Artif. Intell. Res., 47, 697-740.

Bunescu, R. C., Carvalho, V. R., Chomicki, J., Conitzer, V., Cox, M. T., Dignum, V., . . . Zhou, R. (2009). AAAI 2008 Workshop Reports.. AI Mag., 30, 108-118.

Shang, Y., Rumi, W., Zhang, Y., & Fromherz, M. (2004). Localization from connectivity in sensor networks. IEEE Transactions on Parallel and Distributed Systems, 15(11), 961-974. doi:10.1109/tpds.2004.67

Caramazza, A., Papagno, C., & Ruml, W. (2000). The Selective Impairment of Phonological Processing in Speech Production. Brain and Language, 75(3), 428-450. doi:10.1006/brln.2000.2379

Ruml, W., Caramazza, A., Shelton, J. R., & Chialant, D. (2000). Testing Assumptions in Computational Theories of Aphasia. Journal of Memory and Language, 43(2), 217-248. doi:10.1006/jmla.2000.2730

Ruml, W., Ngo, J. T., Marks, J., & Shieber, S. M. (1996). Easily searched encodings for number partitioning. Journal of Optimization Theory and Applications, 89(2), 251-291. doi:10.1007/bf02192530

Ruml, W., & Caramazza, A. (n.d.). An evaluation of a computational model of lexical access: Comment on Dell et al. (1997).. Psychological Review, 107(3), 609-634. doi:10.1037/0033-295x.107.3.609

Most Cited Publications