Mustafa Hajij

I am an assistant professor of data science at MSDS program and the data institute at University of San Francisco. My research interests include Topological Deep Learning, Topological Data Analysis, and Geometric Data Processing

Click here to view my CV.

Activities and news :

• I am giving a tutorial, The Data Institute, DSCO 2023, An introduction to graph neural networks and their generalizations, San Francisco, 2023.
• I am giving a talk, The Data Institute, DSCO 2023, What is Topological Deep Learning?, San Francisco, 2023.
• I am giving a talk, Applied Geometry for Data Sciences Mathematical AI for Molecular Sciences, A unifying deep learning framework with higher order attention networks, 2022.
• I am giving a talk, Somana University, CS seminars, UNIFYING PRINCIPLES OF HIGHER ORDER NETWORKS, 2022.
• I am giving a talk on Topological Deep Learning, IBM Thomas J Watson Research Center, NewYork 2022. 4.
• I am giving a keynote talk at HONS 2023, A unifying deep learning framework with higher order attention networks, 2022.
• I am giving a talk on TDA-Net at Mini-symposium: "Algebra, Combinatorics, and Topology in Modern Biology"
• I am giving a talk about Cell complex neural networks at the 5th Workshop on Geometry and Machine Learning. 
• I am serving as a reviewer for Rethinking ML Papers - ICLR 2021 Workshop.
• CFP for our Miccai 2021 workshop is now available Topological Data Analysis and its Applications for Medical Data.
• Check out my talk introducing topological deep learning. [video] [paper].
• I am serving on a committee for CAIHA 2020: 1st Workshop on Computational & Affective Intelligence in Healthcare Applications - Vulnerable Populations.
• I am giving a talk at MSU on algebraically informed deep nets.[abstract]
• Our paper cell complex neural networks got accepted to NeurIPS workshop on Topological Data Analysis and Beyond Workshop.
• Check out our new preprint on algebraically informed neural network: [Paper] [Code]