Raymond Dueñas
Research Assistant | Candidate B.S. Mathematics and Computer Science
Hello! My name is Raymond Dueñas. I am a California State University Stanislaus senior honors student, McNair scholar, NSF Louis Stokes Alliances for Minority Participation (LSAMP) scholar, and Cal-Bridge scholar, dual majoring in Mathematics and Computer Science. I am a member of the National Society for Leadership and Success and have been nominated as a 2022-2023 CSU-LSAMP PROUD Scholar for my Outstanding Academic Performance and Outstanding Service. I am lucky enough to be advised by Dr. Kyu Han Koh. Research areas that excite me are robotics, embodied AI, computer vision, and the development of better algorithms for improving generalization in machine learning. In Dr. Koh’s Innovative Learning and Design Lab, I am working with computer vision to uniquely develop a climate dataset to be analyzed and visualized in order to provide further evidence of climate change. I am also working with Dr. Adham Atyabi of the University of Colorado Colorado Springs. Utilizing computer vision and deep learning, our research aims to develop competitive autonomous drone flight with optical flow for obstacle avoidance.
Projects at a Glance
Optical Flow for Obstacle Avoidance in Autonomous Drone Flight
Utilizing a monocular quadcopter, this project aims to implement a pair of convolution neural networks to produce an autonomous flight controller that will successfully navigate the drone to its destination. The first CNN will produce optical flow values. Accepting these values as inputs, the second CNN will make the optimal directional flight decision to get to its destination safely. This work was started under the advisement of Dr. Adham Atyabi during the summer of 2022 at the University of Colorado Colorado Springs.
Computer vision for Analysis and Visualization of Climate Change Trajectory
Implementing computer vision practices and the OpenCV library on images rendered from data sets containing fifty years of climate information, this project aims to track the trajectory of the observable effects of climate change. This work is conducted under the advisement of Dr. Kyu Han Koh as a project of his Innovative Learning and Design Lab.
