Mohammad Mohaiminul Islam

I am a PhD candidate with AMLab and qurAI at the University of Amsterdam, supervised by Prof. Clarisa Sánchez and Prof. Erik Bekkers. My work explores geometry-aware machine learning methods, including equivariant transformers and generative models, that respect the structure of the data. I am especially interested in scientific ML applications where these geometric priors matter, such as machine-learned interatomic potentials (MLIPs), molecular property prediction, molecular generation, and medical image analysis.

Before that, I worked as a researcher in EU H2020 Moore4Medical project, with the Department of Advanced Computing Sciences, Maastricht University team. I was also a Research Associate at laboratoire de traitement de l’information médicale (LaTIM) , which is a medical image processing lab under the French National Institute of Health and Medical Research. At LaTIM I particularly worked with Prof. Pierre-Henri CONZE .

As of my education, I obtained my Erasmus+ Mundus Joint Master (EMJMD) in Image Processing and Computer Vision (IPCV) from three different universities across Europe and my B.Sc. from Department of Computer Science & Engineering, Daffodil International University (DIU), Bangladesh.