Wheeler Ruml

Wheeler Ruml
PROFESSOR
Computer Science
Integrated Applied Mathematics
Phone: (603) 862-2683
Office: Computer Science, Kingsbury Hall Rm 215D, Durham, NH 03824
Websites: http://www.cs.unh.edu/~ruml/, https://scholar.google.com/citations?user=3idW4TkAAAAJ&hl=en, Full profile: FindScholars@UNH
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.

Education

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

Selected Publications

Hatem, M., Burns, E., & Ruml, W. (2018). Solving Large Problems with Heuristic Search: General-Purpose Parallel External-Memory Search. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 62, 233-268. Retrieved from http://gateway.webofknowledge.com/

Wilt, C., & Ruml, W. (2016). Effective Heuristics for Suboptimal Best-First Search. Journal of Artificial Intelligence Research, 57, 273-306. doi:10.1613/jair.5036

Kiesel, S., Burns, E., & Ruml, W. (2015). Achieving Goals Quickly Using Real-time Search: Experimental Results in Video Games. Journal of Artificial Intelligence Research, 54, 123-158. doi:10.1613/jair.4800

Borrajo, D., Felner, A., Korf, R., Likhachev, M., Linares Lopez, 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

Ruml, W., Caramazza, A., Capasso, R., & Miceli, G. (2005). Interactivity and continuity in normal and aphasic language production. Cognitive Neuropsychology, 22(2), 131-168. doi:10.1080/02643290442000031

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., & Caramazza, A. (2000). 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

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Most Cited Publications