University of North Carolina at Charlotte · EngineeringThe Vision AI Lab
Minhaj Nur Alam · Charlotte, North Carolina
Research Focus
The research lab led by Minhaj Nur Alam focuses on using advanced machine learning techniques to improve the diagnosis and treatment of diabetic retinopathy, a significant cause of vision loss. By utilizing federated learning and multi-modal optical coherence tomography data, the lab develops powerful AI models that can analyze complex imaging data from multiple institutions while maintaining patient privacy. Their work aims to enhance early detection and treatment outcomes for patients suffering from diabetic retinopathy.
diabetic retinopathymachine learningfederated learningoptical coherence tomographyself-supervised learningmulti-task learningdata privacyAIclinical diagnosis
Research Aims
4AIM 01Develop distributed models for diagnosing diabetic retinopathy using federated learning.
AIM 02Establish a framework for multi-task learning with domain adaptation in heterogeneous data.
AIM 03Integrate privacy-preserving methods in machine learning for healthcare data application.
AIM 04Conduct experimental validation of multi-institutional AI models against traditional approaches.
Skills the Lab Values
federated learningmachine learning algorithmsoptical coherence tomography analysisdata privacy techniquesmulti-task learning implementationclinical data handlingalgorithm developmentmodel training and validationstatistical modeling
Output against the department
Publications90bottom 19% of dept.225th of 278
this lab
most publishedleast published
Citations1.4kbottom 10% of dept.250th of 278
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.