academics

Courses Taken

Spring 2023

• CMSC828A Machine Learning Paradigms by Prof. Tianyi Zhou.
  • It was officially named Fantastic Machine Learning Paradigms and Where to use Them!
  • Project: Diffusion Models Beat GANs on Image Classification

Fall 2022

• CMSC733 Computer Processing of Pictorial Information by Prof. Jia-Bin Huang.
  • Project: Are generative features (StyleGAN) better than dicriminative features?

Fall 2021

• CMSC730 Interactive Technologies in Human-Computer Interaction by Prof. Huaishu Peng.
  • Project: Smartbin with Robotic Arm
• CMSC828Z Just Machine Learning by Prof. Hal Daumé III.
  • Project: Rawlsian Gradient Descent

Spring 2021

• CMSC764 Advanced Numerical Optimization by Prof. Tom Goldstein.
• CMSC828L AI and Existential Threats to Civilization by Prof. David Jacobs.
  • This was a one time course and a different course is taught with the course number.
  • Project Proposal: Detection of fake human facial videos generated using deep learning techniques

Fall 2020

• CMSC828I Advanced Techniques in Visual Recognition and Learning by Prof. Abhinav Shrivastava.
  • Project: Fine-grained Image-to-Image Editing from Text Captions
• CMSC828W Foundations of Deep Learning by Prof. Soheil Feizi.
  • Project: Adversarial Robustness and Catastrophic Forgetting

Teaching Assistantships

Spring 2022

• CMSC351 Introduction to Algorithms by Dr. Justin Wyss-Gallifent and Erika Melder.

Fall 2021

• CMSC474 Introduction to Computational Game Theory by Prof. Dana Nau.

Spring 2021

• CMSC472 Introduction to Deep Learning by Prof. Abhinav Shrivastava.