Shamir Khandaker, Ph.D.
Assistant Professor
Arts & Sciences
Computer Science
Biography
Shamir Towsif Khandaker has been engaged in advanced research for over five years, serving in roles such as Graduate Assistant and Assistant Professor. He has contributed to numerous academic projects, focusing on Natural Language Processing, Deep Learning, and Machine Learning.
Recently, Shamir has concentrated on developing innovative methodologies for data curation in ML/DL models. As a Ph.D. candidate in Computer Science at the University of Louisiana at Lafayette, his research, guided by Dr. Aminul Islam, has resulted in notable publications, particularly in Curriculum Learning, Binary Classification, and Automated Debugging of Deep Text Classifiers.