This project focuses on developing advanced machine learning and computer vision techniques for accurate segmentation of biomedical images, including 2D and 3D datasets. The goal is to enable automated extraction of anatomical structures to support scientific discovery, clinical decision-making, and large-scale biological data analysis.
A in-house developed Digital Twin: https://projects.smreza.com/zebrafish-digital-twin/
A in-house developed Zebrafish Atlas: https://projects.smreza.com/zebrafish-atlas/

BySayed Mohsin Reza
Award,Biomedical Image Segmentation,Highlights,Machine Learning,News,Research Projects
October 15, 2026
The Data-Driven Decision Making (D3M) Lab is pleased to announce that undergraduate researcher Dhruv…
BySayed Mohsin Reza
Biomedical Image Segmentation,News,Personality Disorders,Research Projects
August 4, 2026
Two undergraduate researchers from the Data-Driven Decision Making (D3M) Lab successfully completed…
BySayed Mohsin Reza
Biomedical Image Segmentation,Electricity Market,Machine Learning,News,Personality Disorders,Power Distribution Fault Pattern,Quantum AI,Research Projects,Tick Borne Pathogen Transmission Data
April 22, 2026
5 Members of the Data‑Driven Decision Making (D3M) Lab presented four research projects at the Penn…
BySayed Mohsin Reza
Biomedical Image Segmentation,News,Personality Disorders,Research Projects
March 28, 2026
Two students from the Data‑Driven Decision Making (D3M) Lab have been selected for the Multi‑Campus…
BySayed Mohsin Reza
Biomedical Image Segmentation,Grants,Highlights,News,Research Projects
November 5, 2025
We are thrilled to announce that Dr. Sayed Reza, Assistant Professor of Computer Science has been…
