How this started
Before I officially started at UT Martin, I'd already said yes to my first undergraduate researcher. That summer, my senior colleague (later my faculty mentor) Dr. Curtis Kunkel mentioned a student, Larissa Renshaw, who had taken differential equations and numerical analysis, and asked if I'd want to work with her. I said yes without thinking twice. We started meeting over Zoom that summer, before I'd taught a single class here, and kept going through the year.
I'll be honest: I had no idea what I was doing. I handed Larissa pieces of my dissertation work and some code to modify, problems that were really beyond the scope of where she was, and I struggled to see where any of it would go. We met, we read, we tried things. In the end we put together a poster for the MAA-SE meeting in 2024, and called it a good first try.
But it left me with a question I couldn't put down: how do you actually do meaningful research with an undergraduate? My own work lives in functional analysis, which students can't reach in a semester or two. So in the summer of 2024 I sat with it, talked through ideas with Curtis, read his papers, and slowly an answer came into focus.
The problems I study in differential equations have discrete versions — the same questions asked on a grid of points instead of a smooth line. And those discrete problems are genuinely reachable. A student with Calculus 1 can work on the uniform discrete version of a problem I care about, another on the non-uniform version, and the mathematics is real, open, and publishable in undergraduate journals. That was the whole world of difference equations opening up, and it's where this program lives now.
The vision from here is simple: keep going in the same direction. I've worked with students on ordinary difference equations; the next step is partial difference equations — harder problems, the same idea, still within reach of a student who has taken Calculus 1.
On the Horizon
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Research Experiences for Undergraduate Faculty (REUF) — American Institute of Mathematics, Pasadena, CA. July 27–31, 2026. (Selected participant.)
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"Mentoring in Practice: Lessons from Undergraduate Research" — talk, MathFest 2026, August 7, 2026.
Manuscripts
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S. Bandyopadhyay, K. Byassee, and C. Lynch, "Upper and Lower Solution Method for Regular Discrete Second-Order Boundary Value Problems," The PUMP Journal of Undergraduate Research, 9 (2026), 198–211. https://doi.org/10.46787/pump.v9i.6129
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S. Bandyopadhyay and K. Lor, "Existence Result for Difference Equations on Non-Uniform Grids via Upper and Lower Solution Method," arXiv:2508.04706 (under review). https://arxiv.org/abs/2508.04706
Discrete Boundary Value Problem (ΔBVP) @ UT Martin
Have you ever had to figure out the middle when you already know both ends?
Imagine a string of lights hung between two posts. You fix the height at the left post and the height at the right, and the question is what the lights do in between. You are not marching forward from a starting point. You are pinned at both ends at once, and you have to find everything in the middle so that it all fits together.
Now here is the part you have already seen. Back in precalculus and Calculus 1, before you ever took a limit, you worked with the difference quotient: the change in a function over a small step. The derivative is what that becomes after the limit. But if you stop before the limit and stay with the step, you are doing discrete mathematics, working point by point instead of along a smooth curve. Put those two ideas together, fixing both ends and working in discrete steps, and you get a discrete boundary value problem.
The surprising part is how much real mathematics you can do with these using tools you already have. If you have taken Calculus 1 and you like figuring out how the middle has to fit, you have enough to start learning with me. The questions my students work on are open, nobody has answered them yet, and you do not need years of prerequisites to reach them.
Research with me follows a structured arc of about a year and a half:
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First spring — foundations. Students spend the semester learning background material and prior literature, presenting a poster at the MAA-SE Section Meeting in March, and learning to read and write mathematics papers.
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Summer or fall — research begins. With summer funding, or otherwise in the fall, students start their research problem. We meet weekly on Thursdays for two hours: students present their progress for the first 30 minutes (board or Beamer), and we work through the mathematics together for the remaining 90.
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Ongoing — independent writing. Students spend about two hours each week writing up their mathematics on a shared Overleaf document, where I can follow their progress between meetings.
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Second spring — outcomes. Students give a 15-minute talk at the MAA-SE Section Meeting and submit a manuscript to an undergraduate research journal by April 30.
Interested? Email me: sbandyo5@utm.edu with 2-3 sentences why you want to do undergraduate research with me
Pre-requisite
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An A in Calculus 1 (MATH 251) and Trigonometry (MATH 170), with a strong algebra background.
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Read at least one mathematics research paper. If you haven't, here are some good places to start. [link]
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Read some mathematics textbooks beyond your coursework. If you haven't, here are a few good ones. [link]
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Familiarity with LaTeX. If you don't know it yet, here's a guide to get started. [link]
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Ability to commit about 4 hours per week for the full arc of roughly a year and a half. This is a sustained commitment, not a single semester.
You do not need to know how to write mathematical proofs. I will teach you that.
Expectation
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Consistency. Mathematics builds on itself, so steady weekly progress matters. Falling behind for a few weeks is hard to recover from, because each step depends on the one before it.
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Perseverance. Struggle is part of mathematics research, and being stuck is normal, not a sign you don't belong.
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Communication. You should be comfortable talking through your work with me regularly and asking when you're stuck.

Students
Current
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Kimsear Lor — Mathematics and Computer Engineering , sophomore (Spring 2025 – present)
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Bailyn Hall — Mathematics, freshman (Spring 2026 – present)
Past
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Kyle Byassee — Computer Engineering and Mathematics (2024–2025)
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Curt Lynch — Computer Engineering (2024–2025)
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Larissa Renshaw — Mathematics (2023–2024)
Fundings
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UT Martin Faculty Development Grant for Research (2025) — Kimsear Lor
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MAA-SE Student Travel Grant (2024) — Kyle Byassee, Curt Lynch
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CENS Undergraduate Research Grant (2023) — Larissa Renshaw
Talks/Posters
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2026 — Kimsear Lor and Bailyn Hall, "Prüfer Transformation for a Sturm-Liouville Type Equation," poster, MAA-SE Meeting
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2025 — Kimsear Lor, "Existence Result for Difference Equations on Non-Uniform Grids: Construction of Solution Operator," AMS Fall Central Sectional (invited talk)
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2025 — Kyle Byassee and Curt Lynch, "Upper and Lower Solution for Regular BVP on Discrete Time Scale," poster, MAA-SE Meeting
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2024 — Larissa Renshaw, "Numerical Approximation of Boundary Value Problems with Superlinear Non-linearity on the Boundary," poster, MAA-SE Meeting