I am interested in the basic principles used by humans and other animals to solve various visual and spatial problems, as well as how to implement these principles in artificial systems. My current research focuses on mind wandering and cognitive control, human robot interaction, visual perception, and spatial memory.
Ph.D. from Massachusetts Institute of Technology
Additional Campus Affiliations
Bhattacharjee, S., MacPherson, B., Wang, R. F., & Gras, R. (2019). Animal communication of fear and safety related to foraging behavior and fitness: An individual-based modeling approach. Ecological Informatics, 54, . https://doi.org/10.1016/j.ecoinf.2019.101011
Sampaio, C., & Wang, R. (2019). Bayesian average or truncation at boundaries? The mechanisms underlying categorical bias in spatial memory. Memory and Cognition, 47(3), 473-484. https://doi.org/10.3758/s13421-018-0884-7
Yoon, H. J., Widdowson, C., Marinho, T., Wang, R., & Hovakimyan, N. (2019). A path planning framework for a flying robot in close proximity of humans. In 2019 American Control Conference, ACC 2019 (pp. 5254-5259).  (Proceedings of the American Control Conference; Vol. 2019-July). Institute of Electrical and Electronics Engineers Inc..
Holmes, R. M., Victora, M. M., Wang, R. F., & Kwiat, P. G. (2018). Testing the limits of human vision with quantum states of light: Past, present, and future experiments. In J. C. Campbell, & M. A. Itzler (Eds.), Advanced Photon Counting Techniques XII  (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10659). SPIE. https://doi.org/10.1117/12.2306092
Voss, M. J., Zukosky, M., & Wang, R. (2018). A new approach to differentiate states of mind wandering: Effects of working memory capacity. Cognition, 179, 202-212. https://doi.org/10.1016/j.cognition.2018.05.013