Research

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Current Research Projects

My current research at HAL 2.0 focuses on developing innovative AI frameworks that address real-world challenges through multimodal learning, trustworthiness, and community-driven approaches. Explore the following projects to learn more about our ongoing efforts:

• A Multimodal AI Approach to Modeling Human Behavior From Longitudinal Experiential Data: Pioneering AI techniques to understand human behavior over time using noisy, multimodal longitudinal data, with applications in education and healthcare.
• Reliable Multimodal AI Systems: Enhancing the trustworthiness of vision-language models by addressing critical reliability issues like object hallucination and linguistic sycophancy, ensuring safe deployment in high-stakes domains.
• Subaltern AI: Co-Creating Grounded Knowledge with Nebraska's Communities: Developing culturally grounded AI models through participatory methods, empowering Nebraska’s rural and tribal communities to address food security and climate resilience.

Past Research Projects

My previous research has driven advancements in AI across diverse domains, including AI for social good, computer vision, software engineering, multi-agent systems, and network uncertainty modeling, establishing a strong foundation for my current interdisciplinary work. To explore these past projects, visit this link.