In the AKADEMI group, we develop new models, algorithms, and theories that make autonomous agents capable of safe, efficient, and human-aware decision-making under uncertainty, with continual adaptation to new environments and tasks. Our research is at the intersection of learning and control and draws innovative connections among several fields to tackle the complex challenges of realizing trustworthy autonomy.

Prospective Members

The research at the AKADEMI group is primarily algorithmic and theoretical. The prospective students are expected to have a deep interest and strong background in mathematics, with the essential topics being linear algebra, calculus, real analysis, and probability, and some of the desired topics being stochastic processes, optimization, game theory, combinatorics, and graph theory. The prospective students are also expected to be comfortable with programming. Familiarity with topics in machine learning, control theory, formal methods, and robotics would also be helpful.

If you are a student meeting the above criteria and interested in joining the AKADEMI group, please send an email to me, including

Please note that due to the number of emails that I receive, unfortunately, I cannot respond to all email inquiries.

Also, if you are applying to the ECE Ph.D. program at Purdue University and are interested in working with me, please indicate this in your application package.

Current Members

Past Members