Prasad Senesi Ph.D.
Mathematician
I'm mathematician and machine learning research engineer at Peraton Labs. I work on problems in mathematical modeling, neural networks, and quantum computing. I was previously an associate professor of mathematics at The Catholic University of America in Washington, DC. I earned my doctoral degree at The University of California at Riverside under the direction of Vyjayanthi Chari, followed by a postdoctoral research appointment at University of Ottawa, under the supervision of Erhard Neher and Alistair Savage. My research interests include representation theory of Lie algebras and quantum groups, knot theory, voting theory, mathematical modeling, machine learning, and quantum theory.
RESEARCH INTERESTS
LIE THEORY
REPRESENTATION THEORY
SOCIAL CHOICE THEORY
MATHEMATICAL MODELING
DATA SCIENCE
KNOT THEORY
RECENT ACTIVITY
Interactions of Quantum Affine Algebras with Cluster Algebras, Current Algebras and Categorification is now available.
The Mathematics of Voting Systems: Mathematical perspectives on theories and practices of social choice, public lecture given at PSW Science.
Routing Optimization: a Data-Driven Graph Theoretic Solution to Solid Waste Pickup in Howard County, a lecture given at the AACC Stat Chat Seminar.
Quandle Representation Theory: Diheral and Cyclic, a talk given at the 2022 Spring Knots in Washington Meeting at George Washington University.