Wheeler Ruml

Wheeler Ruml

PROFESSOR
Phone: (603) 862-2683
Office: Computer Science, Kingsbury Hall Rm 215D, Durham, NH 03824
Websites:
Curriculum Vitae

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.

Courses Taught

  • CS 730/830: Intro Artificial Intelligence
  • CS 758/858: Algorithms
  • CS 931: Planning for Robots
  • CS 999: Doctoral Research

Education

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

Research Interests

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

Selected Publications

  • Miller, B. A., Shafi, Z., Ruml, W., Vorobeychik, Y., Eliassi-Rad, T., & Alfeld, S. (2024). Attacking Shortest Paths by Cutting Edges. ACM Transactions on Knowledge Discovery from Data, 18(2), 1-42. doi:10.1145/3622941

  • Zhang, N., Alden, D., Xu, D., Wang, S., Jaeger, T., & Ruml, W. (2023). No Free Lunch: On the Increased Code Reuse Attack Surface of Obfuscated Programs. In 2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (pp. 313-326). IEEE. doi:10.1109/dsn58367.2023.00039

  • Lemons, S., Linares López, C., Holte, R. C., & Ruml, W. (2022). Beam Search: Faster and Monotonic. Proceedings of the International Conference on Automated Planning and Scheduling, 32, 222-230. doi:10.1609/icaps.v32i1.19805

  • Lemons, S., López, C. L., Holte, R. C., & Ruml, W. (2022). Beam Search: Faster and Monotonic. Retrieved from http://arxiv.org/abs/2204.02929v1

  • Miller, B. A., Shafi, Z., Ruml, W., Vorobeychik, Y., Eliassi-Rad, T., & Alfeld, S. (2021). Optimal Edge Weight Perturbations to Attack Shortest Paths. Retrieved from http://arxiv.org/abs/2107.03347v1

  • Shang, Y., Ruml, 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

  • Shang, Y., Ruml, W., & IEEE. (2004). Improved MDS-based localization. In IEEE INFOCOM 2004: THE CONFERENCE ON COMPUTER COMMUNICATIONS, VOLS 1-4, PROCEEDINGS (pp. 2640-2651). Retrieved from https://www.webofscience.com/

  • 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