Teaching
Courses taught at University of Central Florida and UNC-Charlotte
Medical Image Computing
Medical Image Computing
Robot Vision
(44 students, online course)
Special Topics: Deep Learning in Computer Vision
Introduction to Machine Learning
Applied Artificial Intelligence
Digital Signal Processing
Special Topics: Deep Learning in Computer Vision
Applied Artificial Intelligence
Special Topics: Deep Learning in Computer Vision
My teaching approach emphasizes bridging theoretical foundations with practical applications in computer vision, machine learning, and medical image computing. I believe in fostering critical thinking through hands-on projects and collaborative learning experiences.
I strive to create an inclusive learning environment where students can explore cutting-edge research topics, develop technical skills, and gain the confidence to tackle real-world challenges in artificial intelligence and computer vision.
Introduction to Machine Learning
ECGR 3090/4090 - Fall 2020
Developed new undergraduate/graduate course at UNC-Charlotte covering machine learning fundamentals, algorithms, and practical applications.
Special Topics: Deep Learning in Computer Vision
ECGR 6090/8090 - Fall 2018, Fall 2019, Spring 2021
Created specialized graduate course focusing on deep learning applications in computer vision, covering state-of-the-art neural network architectures and research methodologies.
Course Website