ENAE788M: Hands-On Autonomous Aerial Robotics

Instructor

Session: Fall 2019

This is an advanced graduate course that exposes the students with mathematical foundations of computer vision, planning and control for aerial robots. This course was designed and taught by me and Chahat Deep Singh. The course is designed to balance theory with an application on hardware.


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CMSC 828T: Vision, Planning and Control in Aerial Robotics

Instructor

Session: Fall 2017

This is a comprehensive course on aerial robotics, with a focus on quadcopters and their related hardware and software implementations. The course will cover both the theoretical and practical aspects of quadcopters, with special focus on perception, planning and control algorithms involved in the same. This course was completely designed by me.

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CMSC 733: Classical and Deep Learning Approaches for Geometric Computer Vision

Teaching Assistant

Session: Spring 2019

Instructor: Prof. Yiannis Aloimonos

This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course is heavily redesigned this time to showcase how to model classical 3D geometry problems using Deep Learning. This course was designed by me and Chahat Deep Singh.

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CMSC 733: Computer Processing of Pictorial Information

Teaching Assistant

Session: Spring 2017

Instructor: Prof. Yiannis Aloimonos

This is an advanced course on graduate computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course was designed by me.

 Course Webpage  

CMSC 426: Image Processing


Teaching Assistant

Session: Fall 2016

Instructor: Prof. Yiannis Aloimonos

This is an introductory course on computer vision and computational photography. This course will explore image formation, image features, image segmentation, image stitching, image recognition, motion estimation, 3D point clouds and will touch upon basics of augmented reality. This course was designed by me.

 Course Webpage