Applied Machine Learning and Intelligence Lab

The Applied Machine Learning and Intelligence (AMLI) Lab, founded in 2020 by Dr. Nelly Elsayed at the University of Cincinnati, conducts interdisciplinary research at the intersection of artificial intelligence, data science, cybersecurity, healthcare, and intelligent decision support. The lab develops trustworthy, explainable, and responsible AI solutions that address complex real-world challenges while advancing scientific knowledge and practical impact.

Our research spans the full spectrum of modern artificial intelligence, including traditional machine learning, deep learning, generative AI, and emerging agentic AI systems. We focus on designing AI technologies that are transparent, reliable, secure, and human-centered, enabling organizations to make better decisions across healthcare, cybersecurity, and other critical infrastructures.

The AMLI Lab collaborates with academic institutions, healthcare organizations, industry partners, and government agencies to translate research into practical solutions. We actively mentor undergraduate, master's, and doctoral students through hands-on research experiences, preparing the next generation of researchers and AI professionals.

The AMLI Lab collaborates with academic institutions, healthcare organizations, industry partners, and government agencies to translate research into practical solutions. We actively mentor undergraduate, master's, and doctoral students through hands-on research experiences, preparing the next generation of researchers and AI professionals.

Dr. Nelly Elsayed serves as the Founder and Leader of the AMLI Lab, leading the lab's research initiatives, collaborative partnerships, and student mentoring activities.

We welcome collaborations with researchers, industry professionals, healthcare organizations, and prospective students interested in advancing responsible AI research. If you are interested in partnering with the AMLI Lab or joining our research team, please contact Dr. Elsayed via email.

Our research includes, but is not limited to:

• Artificial Intelligence (AI), Machine Learning, and Deep Learning 
• Generative AI and Agentic AI Systems 
• Trustworthy, Explainable, and Responsible AI 
• Human-AI Collaboration and Intelligent Decision Support 
• AI Governance and Organizational Resilience 
• Cybersecurity Analytics and AI-Driven Cyber Defense 
• Healthcare Informatics and Clinical AI 
• Natural Language Processing and Large Language Models 
• Speech and Multimodal AI 
• Computer Vision and Intelligent Perception 
• Data Science and Predictive Analytics 
• Internet of Things (IoT) and Smart Systems