Redwan Ahmed Rizvee

Hi, I'm Redwan Ahmed Rizvee.

PhD Student in CS @ UMass Amherst

I study how to make massive datasets interpretable in real-time. As a researcher at the DREAM Lab, advised by Dr. Alexandra Meliou, I develop Perception-Aware Sampling algorithms that bridge statistical learning theory with visual analytics. You can have a demo of our work in the PAWS Playground!

Previously, I was a Research Scientist at TigerIT and a Lecturer at the University of Dhaka. I am interested in Data Mining, Database Theory, and building scalable systems.

I also help build COLAS, a coding lab assistant that brings together automated evaluation, plagiarism analysis, and actionable feedback for students.

Recent Updates

  • Oct 2026 Submitted Perception-Augmented Databases for Effective Visual Analytics to Proceedings of the VLDB Endowment (PVLDB), Volume 20.
  • Jan 2026 Presented our poster Modeling Perception in Sampling for Visualization at NEDB 2026.
  • Sep 2025 Started PhD at UMass Amherst under Dr. Alexandra Meliou.
  • Nov 2024 Paper "A tree-based framework to mine top-K closed sequential patterns" accepted in Applied Intelligence.
  • Nov 2024 Paper on "Reinforcement Learning Based Formulations" accepted in IEEE Access.

Selected Publications

For a full list, please visit my Google Scholar.

A new tree-based approach to mine sequential patterns

Expert Systems with Applications, 2024

R. A. Rizvee, C. F. Ahmed, M. F. Arefin, C. K. Leung

DOI PDF
Reinforcement Learning-Based Formulations With Hamiltonian-Inspired Loss Functions

IEEE Access, 2024

R. A. Rizvee, R. Hassan, M. M. Khan

Link
A Tree-Based Framework to Mine Top-K Closed Sequential Patterns

Applied Intelligence, 2025

R. A. Rizvee, C. F. Ahmed, C. K. Leung

DOI
Revival of Muslin by Phuti Karpas plant identification with convolution neural network

Array, 2025

R. A. Rizvee, et al.

DOI
LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases

Journal of Agriculture and Food Research, 2023

R. A. Rizvee, et al.

DOI
Towards Immutability: A Secure and Efficient Auditing Framework for Cloud Supporting Data Integrity

IEEE GLOBECOM, 2023

F. H. Bappy, ... R. A. Rizvee, et al.

Link
Tree-miner: mining sequential patterns from sp-tree

PAKDD (Pacific-Asia Conference on Knowledge Discovery and Data Mining), 2020

R. A. Rizvee, M. F. Arefin, C. F. Ahmed

DOI
What Can Nighttime Lights Tell Us about Bangladesh?

IEEE Region 10 Symposium (TENSYMP), 2020

M. Wahed, R. A. Rizvee, et al.

DOI

Software & Tools

Featured project · Software for programming education

COLAS

Coding Lab Assistant

One of the lead architects & developers

Learning to program takes more than an accepted or wrong-answer verdict. COLAS brings code execution and grading, plagiarism detection, and AI-assisted feedback into one platform for programming labs.

My contribution. I help design and develop the system across its React interface, Flask backend, and MongoDB data layer, including evaluation workflows, code similarity analysis, and feedback that helps students understand mistakes and improve their solutions.

React Flask MongoDB Code analysis LLM integration
Visit COLAS

Automated evaluation

Code execution and grading, with activity tracking and progress reports for instructors.

Plagiarism analysis

Syntax-tree and sequence-based code comparison, with matched spans and side-by-side inspection.

Feedback for learning

LLM-assisted explanations that help students identify errors and find opportunities to improve.

COLAS in action

More on the CognistormAI channel
Find your first workflow
Watch on YouTube
The Live IDE
Watch on YouTube
AI Tutor and your progress
Watch on YouTube
BDQOL

Bangladesh Quality of Life Indicator. A visualization tool to demonstrate the socio-economic condition of Bangladesh based on SDG indicators.

D3.js Data Viz
MSCLM-A

Memory flexible language-independent sentence completion module using Arpa-based Language Models.

NLP Python

Experience

Graduate Research Assistant

DREAM Lab, UMass Amherst | 2025 - Present

Developing perception-aware sampling algorithms for big data visualization.

Lecturer

University of Dhaka | 2023 - (On Leave)

Taught Software Design Patterns, OOP, and Software Engineering.

Lecturer

East West University | 2022 - 2023

Taught Algorithms, Artificial Intelligence & Structured Programming.

Research Scientist

TigerIT Bangladesh Ltd | 2020 - 2022

Worked on biometric systems, neural network architectures, and large-scale rule-based systems.

Beyond research

I enjoy photography and share a few moments through my lens on Instagram.

@its_rizv