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.
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 931: Planning for Robots
- CS 999: Doctoral Research
Selected Publications
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
Miller, B. A., Shafi, Z., Ruml, W., Vorobeychik, Y., Eliassi-Rad, T., & Alfeld, S. (2021). PATHATTACK: Attacking Shortest Paths in Complex Networks. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2021: RESEARCH TRACK, PT II, 12976, 532-547. doi:10.1007/978-3-030-86520-7_33
Li, J., Ruml, W., & Koenig, S. (2020). EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding. Retrieved from http://arxiv.org/abs/2010.01367v2
Westbrook, M. G., Ruml, W., & IEEE. (2020). Anytime Kinodynamic Motion Planning using Region-Guided Search. In 2020 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 6789-6796). doi:10.1109/IROS45743.2020.9341349
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
Most Cited Publications