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. These projects aim to advance AI applications in educational and behavioral contexts, leveraging cutting-edge techniques to create impactful solutions.
In the AI for Behavioral Interventions (Award #2142558) project, I am developing a cutting-edge AI-powered intervention system utilizing Large Language Models (LLMs) to provide just-in-time, personalized mentoring for undergraduate STEM students. This work tackles fundamental AI challenges in multi-modal time-series data processing, behavioral modeling, and real-time decision-making to enhance student support and engagement.
The AI-Driven Feedback for Student Learning (Award #2235227) project involves spearheading research on automating personalized feedback for student reflections using AI. This work focuses on developing scalable, context-aware AI feedback mechanisms that improve learning engagement and educational outcomes, enabling tailored support for diverse learners.
My previous research at LARSYS (Portugal) contributed to the BAnana SEnsing (BASE) Project – AI-Powered Crop Maturation Prediction. This project involved extracting key agronomic and environmental features to develop predictive models that forecast banana maturation stages ahead of time. The work optimized harvest planning and supply chain management, demonstrating the power of AI in agricultural applications.
Email: aahatsham2@huskers.unl.edu
LinkedIn: linkedin.com/in/ahatsham-hayat-a344bb59
GitHub: github.com/Ahatsham
Google Scholar: Google Scholar