Welcome to my personal website!

Hi! I'm Mohammed, A software engineer, and an applied mathematician. I am developing web-based systems for environmental scientists. In addition, I apply artificial intelligence to research focused on water management system simulation models for rivers of California, USA. I completed my PhD at the University of California Merced (UCM), CA, USA in November 2024. My PhD research at UCM focuses on graph/geometric machine learning and constrained optimization with medical applications. More specifically, I investigated the robustness of graph neural networks. I develop convex and non-convex optimization-based methods to attack and defend GNNs. I also created optimization-based methods for machine learning to solve real-life problems in computer vision and bioinformatics. I also completed a Master's degree in Applied Mathematics at UC Merced. Additionally, I hold another Master's degree in Biomedical Data Science and Informatics from Clemson University, SC, USA My interdisciplinary journey lies at the intersection of science and innovation. My work aims to both expand knowledge and drive revolutionary advancements in practical applications.

Apart from academia, I founded a new startup called LIOTECH Solutions , based in California, USA. We specialize in developing custom software solutions for businesses, focusing on mobile App and website development, marketing and graphic design for B2B wholesalers. Our goal is to enhance business efficiency and streamline operations through innovative technology and tailored digital solutions.

Industrial & Academic Affiliations

Prior Affiliations

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News:

2024

• December 25, 2024: Excited to share that our new paper, "Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability" has been published! [Online version] Co-authored with Rnold Nap and Prof. Roummel Marcia
• December 25, 2024: Excited to share that our new paper, "Optimal Transport-Based Network Alignment: Graph Classification of Small Molecule Structure-Activity Relationships in Biology," has been published! [Online version] Co-authored with Prof. Roummel Marcia
• December 25, 2024: Excited to share that our new paper, "Wasserstein-Based Similarity Constrained Matrix Factorization for Drug-Drug Interaction Prediction," has been published! [Online version] Co-authored Sarah Malone and Prof. Roummel Marcia
• November 18, 2024: I am thrilled to share that I have successfully defended my Ph.D. dissertation, titled "Optimization for Robust and Interpretable Learning on Graphs and Images. Many thanks to my advisor Prof. Roummel Marcia , Prof. Arnold Kim (Applied Mathematics) and Prof. Shawn Newsam (EECS) for serving on my committee and for their invaluable support throughout this journey.
• November 01, 2024: I am proud to announce the founding of LIOTECH Solutions in Merced, California. LioTech Solutions is dedicated to providing innovative software solutions, with a focus on developing cutting-edge technologies that empower businesses and drive growth [Online version]
• October 05, 2024: Excited to share that our new journal paper, "Optimal Transport-Based Graph Kernels for Drug Property Prediction," has been published in the IEEE Open Journal of Engineering in Medicine and Biology! [Online version] Co-authored with Prof. Roummel Marcia
• July 15, 2024: Thrilled to announce that I've been awarded the UC Merced Valley Institute for Sustainability, Technology, and Agriculture GSR Fellowship [Letter]
• April 24, 2024: Thrilled to announce that I've been awarded Applied Math Summer Research Fellowship. [Letter]
• April 18, 2024: Thrilled to announce that my paper "Optimal transport-based network alignment: Graph classification of small molecule structure-activity relationships in biology" is accepted for presentation at the [IEEE EMBC 2024]
• April 18, 2024: Thrilled to announce that my paper "Contrastive pre-training and multiple instance learning for predicting tumor microsatellite instability" is accepted for presentation at the [IEEE EMBC 2024]
• March 10, 2024: Thrilled to announce that my paper "Topological adversarial attacks on graph neural networks via projected meta learning" is accepted for presentation at the [IEEE EAIS 2024]
• February 18, 2024: Thrilled to announce that my paper "Adversarial attack and training for graph convolutional networks using focal loss-projected momentum" is accepted for presentation at the [IEEE ICMI 2024]
• January 14, 2024: Thrilled to announce that I've been awarded the AMAT Travel Award Fellowship

2023

• December 05, 2023: Thrilled to announce that I've been awarded the Fall 2023 GSA Travel Award Fellowship [See here] for more details!
• November 25, 2023: A paper is accepted for presentation at the [IEEE AIMHC 2024]
• June 10, 2023: A paper is accepted for presentation at the [IEEE ICMLA 2023]
• September 10, 2023: A paper is accepted for presentation at the [IEEE ICIP 2023]
• May 06, 2023: Thrilled to announce that I've passed the Ph.D. qualifying exam at the Applied Math Program at University of California Merced
• May 05, 2023: Thrilled to announce that I've been awarded the LNLL DSC Fellowship [See here] for more details!
• April 05, 2023: Thrilled to announce that I've been awarded the UCM GSOP Fellowship [See here] for more details!
• March 10, 2023: A paper is accepted for presentation at the [IEEE MeMeA 2023]