Projects

Funded Projects

The Jurist Center provides research support for the following projects:

2025

  • Personalized Deep Learning with functional MRI (Zixiang Yin, Zhengming Ding):

    Deep learning has revolutionized computer vision, yet annotation inconsistencies limit its reliability in complex tasks like autonomous driving and medical diagnosis. To overcome these limitations, we will explore functional MRI (fMRI) as a means to personalize deep learning models by capturing individual perceptual and cognitive patterns. We plan to develop a dual-decoding framework designed for both biometric and semantic interpretation of neural data. By integrating deep learning with neuroimaging, this project enhances neural interpretability and advances our understanding of brain-based visual processing.

  • Blockchain Optimization using Deep Learning (Md. Ahsan Habib, Lu Peng):

    This project will investigate deep learning to optimize blockchain resource optimization and division.

  • Explainable Machine Learning for Immunotherapy (Jiarui Li, Ramgopal Mettu):

    Understanding the mechanisms of T cell receptor (TCR) binding is crucial for developing immunotherapies against cancer and viruses. The proposed research will continue development of explainable machine learning techniques to uncover potential binding mechanisms.

  • Improving Urban Accessibility with Participatory AI (Syeda Mah Noor Asad, Saad Hassan):

    This project will explore how community groups collect urban accessibility data to inform the design of improved reporting and tracking tools. We will begin with formative interviews to understand the experiences, preferences, and challenges faced by both individual citizens and civic organizations involved in reporting and managing this data. Building on these insights, we will conduct participatory design sessions, introducing stakeholders to existing and emerging technologies—including AI and visualization tools—to co-design more effective systems. Outcomes will include design guidelines and two prototypes of reporting and tracking interfaces.

2024

2023

2022


Faculty Profiles

Our faculty lead projects across a broad array of artificial intelligence topics, including machine learning, multi-agent systems, computer vision, natural language processing, visualization, and ethics. Below is a sample of such projects: