Karan Vikyath is a Ph.D. student in Electrical and Computer Engineering at the University of Wisconsin–Madison, where he works with Professor Daniel Pimentel-Alarcón. His research specialization is in Artificial Intelligence, with a current focus on developing deterministic solutions for Non-negative Matrix Factorization (NMF), a notoriously ill-posed problem.

Karan’s broader research background spans subspace clustering, high-rank matrix completion, and studying the behavior of neural networks—particularly how they preserve clustering structures across layers. His work has been published in leading conferences such as AAAI and ISIT.

Outside of research, Karan is passionate about strength training and enjoys “lifting heavy circles.” He is also a dedicated video gamer, anime enthusiast, and self-proclaimed dessert connoisseur. Beyond hobbies, he actively studies human physiology and biomechanics, with a particular interest in the science of muscle hypertrophy.