Our research focuses on the theory and application of machine learning, in particular applied to problems in remote sensing and robotics. A primary goal of our ongoing research is to develop practical probabilistic methods to enable agents to sense, learn and act in complex, dynamic environments. This poses difficult challenges to machine learning algorithms, in particular: scaling up to high-dimensional, high-volume data sets; constructing sparse representations of dynamic data; combining multiple sensor modalities; and extracting complex knowledge from sensor data. We have been working to address those challenges in the context of various applications, from environment monitoring to disaster management, medical imaging and mineral exploration.

    We investigate the following three lines of research.

    Remote Sensing: hyperspectral image and signal processing, lidar, radar, data fusion

    Robotics: autonomous mobile robots, sensing, perception, learning, mapping

    Machine Learning: probabilistic graphical models, nonparametric Bayesian methods, reinforcement learning

    Our research group is affiliated with the Digital Imaging and Remote Sensing (DIRS) Laboratory.


    - For annoucements see our Wiki-Blog page  


    • Prospective Students: Applicants interested in applying for the PhD or MS program at RIT are advised to apply directly via the RIT Graduate Programs Office. Our research group is affiliated with the PhD programs in Engineering and Imaging Sciences. It is not necessary to contact a professor before applying to any of those programs.

    The following information is only for students currently enrolled in one of RIT's programs.

    We are always looking for highly motivated graduate and undergraduate students to join our research group. Students with a strong interest in conducting research in machine learning, robotics and/or remote sensing are encouraged to contact Dr. Monteiro via email with a curriculum vitae and a description of interests.

    • PhD Students: We welcome enthusiastic and motivated PhD candidates.
    • Masters students: We welcome talented Engineering and Imaging Science students who have taken and excelled in at least one of their focus area courses.
    • Undergraduate Students: We welcome motivated students in the robotics or computer engineering options to join our group.