Our research focuses in 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 the 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
- Sep/14: Richard Murphy's paper has been accepted for publication in the journal Remote Sensing.
- Ago/14: Tomasz Jasinski presented his research at the AOC Australasia Convention 2014.
- Jun/14: Sildomar Monteiro has been awarded an Amazon Web Services (AWS) in Education Research Grant in the Machine Learning category in the amount of $10,000 in AWS credits.
- Jan/14: Sildomar Monteiro is a guest editor of the Journal of Field Robotics special issue on "Alternative Sensing Techniques for Robot Perception" with Alonzo (CMU), Michel (LAAS) and Thierry (QUT), to appear in 2014
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 already enrolled or accepted in one of RIT's PhD programs.
- 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.
- 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.