Public profile
Research areas
Computer vision, medical imaging, signal processing, remote sensing
Electrical and Computer Engineering
Assistant Professor, Electrical and Computer Engineering
Member, Ken Kennedy Institute
Average rating
3.2
4 temporary mock ratings
Difficulty
3.3
course-linked average
Courses
4
in seeded sections
Computer vision, medical imaging, signal processing, remote sensing
ELEC 490
Theoretical and experimental investigations under staff direction. A research project plan should be prepared and approved by the faculty member advising the project. Information about ELEC 490 project plans is available on the ECE Web site on the Academics section under ECE forms. May be repeated for a total of 6 credit hours for undergraduates. Repeatable for Credit.
ELEC 542
This course will cover state-of-the-art research in modern learning-based image synthesis algorithms. Each lecture will focus on one or two important research papers published at top computer vision, machine learning, or graphics venues on a topic. Each student will be responsible for presenting and leading discussion on one lecture topic in the semester. Homework assignments and a final project will require students to code algorithms covered in class. Because deep learning algorithms typically require graphical processing units (GPUs) to run efficiently, students will use Google Colab (a free cloud environment for running python code) to complete assignments.
ELEC 590
Theoretical and experimental investigations under staff direction. Repeatable for Credit.
ELEC 800
Repeatable for Credit.