For the mutual progress of humanity and science, we must be able to use AI, not as mere tools but as our able teammates. In the Human, Hybrid AI, and Machines (HAIM, rhymes with "time") laboratory, directed by Dr. Shreya Banerjee, our overarching research goal is to make progress in this direction, using hybrid artificial intelligence methods. Hybrid AI combines connectionist AI with computational logic and reasoning to render safe and trustworthy methods for real-world problem-solving.
HAIM Lab at the Louisiana Biomedical Research Network (LBRN) Annual Conference
2026
Our paper, Thinking Fast and Planning Slow: Language-Guided Latent Control with Hierarchical Value Functions, was accepted to AGI 2026 for poster presentation.
Shahana presented a poster on Machine Learning–Based VR Social Training for Autism Brain Connectivity Study at the Louisiana Biomedical Research Network (LBRN) Annual Meeting in Baton Rouge.
Henry presented a poster on Facial Expression Recognition as a Step Towards Multimodal Behavior Analysis of Children with Autism Spectrum Disorder at the Louisiana Biomedical Research Network (LBRN) Annual Meeting in Baton Rouge.
Pranish presented a poster on A Novel Hybrid Deep Learning Technique for Speech Emotion Detection using Feature Engineering at the Louisiana Biomedical Research Network (LBRN) Annual Meeting in Baton Rouge.
Gabe's paper, Designing Safe, Responsive AI Agents for Gamified Social-Emotional Learning presented as a poster at the Louisiana Undergraduate Research Association (LaURA) in Baton Rouge.
Gabe's paper, Designing Safe, Responsive AI Agents for Gamified Social-Emotional Learning, was accepted to HHAI-KEML 2026
Dr. Banerjee co-organized the HHAI-KEML 2026 workshop at HHAI 2026 in Brussels, Belgium.
The HAIM Lab hosted Dr. Ole-Christopher for a research visit focused on Tsetlin Machines and initiated a new research collaboration.
2025
Our paper, An Interactive Game-based Multi-Agent AI System for Children's Social and Emotional Development has been accepted at the 34th International Joint Conference on Artificial Intelligence.
Dr. Banerjee co-organizes the 1st International Workshop on Informing ML with Knowledge Engineering for Hybrid Intelligent Systems (HHAI-KEML 2025) at the HHAI 2025 conference.
Our paper, A Novel Hybrid Deep Learning Technique for Speech Emotion Detection using Feature Engineering has been accepted at the HHAI-KEML Workshop at the Fourth International Conference on Hybrid Human-Artificial Intelligence (HHAI).
2024
HAIM Lab students Nhi, Soheil, and Jenny win the Startup UNO Challenge 2024.
PhD student Henry Ansah joins the lab, working on human-AI collaboration and Neuro-Symbolic Reasoning.