I am a fourth-year Ph.D. student in Computer Science at North Carolina State University. I have an MS in Computer Science from North Carolina State University and an MS in Chemical Engineering from the University of Rochester, NY. I have spent many years in the industry, building machine learning models and algorithms to understand the behavior of computer networks.

My work in the industry and academic research involves using algorithms to detect patterns in behavior based on observations, be it machines or humans. My research uses tools of machine learning and artificial intelligence to programmatically generate game content that helps students learn while having fun.

Education

Ph.D., Computer Science (currently enrolled)
North Carolina State University, Raleigh, NC

M.S., Computer Science
North Carolina State University, Raleigh, NC

M.S., Chemical Engineering
University of Rochester, Rochester, NY

B.S., Chemical Engineering
Indian Institute of Technology, Madras, India.

Selected Publications

Vikram Kumaran, Bradford Mott, and James Lester. Generating Game Levels for Multiple Distinct Games with a Common Latent Space. Proceedings of the Sixteenth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, pp. 109-115, Worcester, Massachusetts.

Nathan Henderson, Vikram Kumaran, Wookhee Min, Bradford Mott, Ziwei Wu, Danielle Boulden, Trudi Lord, Frieda Reichsman, Chad Dorsey, Eric Wiebe, and James Lester. Enhancing Student Competency Models for Game-Based Learning with a Hybrid Stealth Assessment Framework. Proceedings of the Thirteenth International Conference on Educational Data Mining, pp. 92-103, Ifrane, Morocco, 2020. (Best Student Paper Award)