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Bangladesh University
AI Webinar Series
Department of Mathematics
Bangladesh University

A Department of Mathematics webinar

Open Access · Free Online via Zoom

Mathematical Framework &
Advanced Research
with Artificial Intelligence

A conversation on the mathematics beneath modern AI — the linear algebra, optimization and numerical methods that power machine learning, and AI as a new instrument for pure and applied mathematical research.

SAVE THE DATE
When
29th
July 2026
Time
19:30
GMT+6 · Dhaka
Duration 90 min Q&A included
Register for free → Meet the speakers
Linear Algebra✦ Optimization✦ Probability & Statistics✦ Numerical Methods✦ Machine Learning✦ Deep Learning✦ Mathematical Modeling✦

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§ 01 · About

Two mathematicians, one conversation.

Artificial intelligence looks like software, but underneath it is mathematics — linear algebra, calculus, probability and optimization, quietly doing the work of learning.

This webinar brings pure and applied mathematics into one room to ask a two-sided question — how do mathematical principles build intelligent systems, and how is AI, in turn, becoming a new instrument for mathematical discovery?

PILLAR 01

Foundations

The linear algebra, calculus and probability that make machine learning and deep learning work.

PILLAR 02

Modelling

Mathematical modelling, numerical methods and optimization — from theory to computation.

PILLAR 03

Discovery

AI as a research partner across pure and applied mathematics.

§ 02 · Voices in the room

The speakers

Dr. Umma Kulsum Suma
Internal · Mathematics
Speaker 01
— foundations & modelling

Dr. Umma Kulsum Suma

Associate Professor & Head · Department of Mathematics, Bangladesh University

Dr. Umma Kulsum Suma is the Associate Professor and Head of the Department of Mathematics at Bangladesh University. She completed her Ph.D. in Mathematics at Jahangirnagar University, researching computational fluid dynamics, heat transfer and nanofluid modelling. Over sixteen years she has been engaged in teaching, research and academic leadership, focusing on computational mathematics, numerical methods, scientific computing, optimization and AI-assisted mathematical modelling, with publications in leading journals and conferences. In this webinar she demonstrates how mathematical principles underpin modern machine learning and deep learning — and how they help build and improve AI models.

Computational Mathematics Numerical Methods AI-Assisted Modelling
Prof. Dr. Md. Masum Billah
External · Mathematics
Speaker 02
— pure & applied

Prof. Dr. Md. Masum Billah

Professor of Mathematics · Department of Arts & Sciences, Ahsanullah University of Science and Technology (AUST)

Prof. Dr. Md. Masum Billah is a Professor of Mathematics in the Department of Arts and Sciences at Ahsanullah University of Science and Technology (AUST). He earned his Ph.D. in Mathematics from Jahangirnagar University, specializing in computational fluid dynamics, heat transfer and nanofluid modelling. With over eighteen years of teaching and research experience, his expertise spans applied mathematics, mathematical modelling, numerical analysis, scientific computing, optimization and AI applications, with an extensive record in leading international journals. His session explores how AI transforms pure and applied mathematics through machine learning, deep learning, optimization and modelling — accelerating discovery and scientific innovation.

Applied Mathematics Numerical Analysis & CFD AI in Research
Moderated by Sumaiya Jahan — Lecturer, Department of Mathematics, Bangladesh University

§ 03 · Programme

Ninety minutes, well spent.

A short, dense programme: two talks and an open window for your questions. Below is the running order.

01

Opening & framing

Welcome from the Department of Mathematics and the evening's question, hosted by Sumaiya Jahan.

02

Talk 01 — Dr. Umma Kulsum Suma

Mathematical foundations of AI: how linear algebra, calculus and probability build intelligent systems.

03

Talk 02 — Prof. Dr. Md. Masum Billah

AI in pure & applied mathematics research: modelling, optimization and discovery.

04

Open Q&A & closing

Your questions, addressed live. The floor is yours.

“

Behind every intelligent system is a structure of mathematics — linear algebra, probability, optimization — quietly doing the learning.

— Framing note

§ 04 · Reserve a seat

Join us on July 29.

Registration is free and open. The Zoom webinar link appears on this page as soon as you register. Questions are taken in order of arrival.

  • ✦ Certificate of participation on request
Registered

You're on the list.

Your seat is reserved for July 29 at 7:30 PM (GMT+6, Dhaka). Join with the link below.

Webinar link
Join the Zoom webinar
https://us06web.zoom.us/s/8112225555?pwd=iwmdpFLBKpCuKoqTPWZnvP5VLOHs4a.1&omn=83402650610

Webinar ID: 811 222 5555

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