Neural Ideals
Studying the algebraic and combinatorial structure of neural codes through their associated ideals, relations, and receptive-field patterns.
Research overviewHi... I am Dipendranath Mahato (দীপেন্দ্রনাথ মাহাতো), aka. DIPEN.
Current Appointment: Lecturer at University of Texas Rio Grande Valley, Edinburg, Texas.
I completed my Ph.D. in Mathematics at Tulane University under the supervision of Prof. Tài Huy Hà. My research is broadly situated in commutative algebra, algebraic geometry, and combinatorial algebra.
“Pure mathematics is, in its way, the poetry of logical ideas.” — Albert Einstein
“The formulation of a problem is often more essential than its solution.” — Albert Einstein
Three areas I am currently exploring at the intersection of algebra, geometry, and combinatorics.
Studying the algebraic and combinatorial structure of neural codes through their associated ideals, relations, and receptive-field patterns.
Research overviewExploring containments between ordinary, symbolic, and rational symbolic powers of ideals and their connections to algebraic invariants.
Research overviewInvestigating graph-associated binomial ideals and the relationships between the structure of a graph and algebraic properties of its ideal.
Research overviewMy current undergraduate mathematics courses at the University of Texas Rio Grande Valley.
Fall 2026 · Section 204
View teaching detailsFall 2026 · Sections 06, 804 & 805
View teaching details