U-LINK Artificial Intelligence (AI)

Artificial Intelligence (AI) is the science and engineering of building computer systems to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It covers other sub-fields such as Machine Learning, Natural Language Processing, and Computer Vision. AI can enhance human capabilities, with myriad opportunities to leverage new technology to tackle complex problems, from automating time-consuming tasks to augmenting decision-making. However, implementing AI solutions is challenging, not least because of the rapidly evolving field. This call supports interdisciplinary projects leveraging AI and machine learning in an effort to tackle, transform, and positively impact societal problems and fundamental research.

AI-COVERT – Artificial Intelligence for COvert Volitional Eye-Response Test

Team: Ayham Alkhachroum (Neurocritical Care), Mohamed Abdel-Mottaleb (Electrical and Computer Engineering), Tulay Koru-Sengal (Public Health Sciences), Brian Manolovitz (Neurology), Mostafa Abdel-Mottaleb (Biomedical Engineering), Gabriela Aklepi (Medical Education), Pablo de La Fuente (Economics and Computer Science)

AI Guided Stable Biophamaceutical Formulation Design

Team: Samiul Amin (Chemical, Environmental & Materials Engineering), Yelena Yesha (Computer Science)

Advancing Histopathological Diagnostics: Hybrid GAN Architectures and Metrics-Based Synthesis for High-Fidelity Image Generation

Team: Himanshu Arora (Urology), Cheng-Bang Chen (Industrial and Systems Engineering)

Multi-Modal Deep Learning for Early Detection of Alzheimer’s Disease and Related Dementias

Team: Xiaodong Cai (Electrical & Computer Engineering), Jianhua Wang (Bascom Palmer Eye Institute), Liang Liang (Computer Science), Hong Jiang (Bascom Palmer Eye Institute)

Humans and AI in concert (HAIC): Musicians' perceptions of acceptability and self-efficacy when cocreating with artificial intelligence

Team: Tom Collins (Music & Media Industry), Raina Murnak (Modern Artist Development & Entrepreneurship), Christopher Bennett (Music Engineering)

Artificial Intelligence for the Diagnosis and Evaluation of Skin Cancer and Hair & Nail Disorders

Team: Keyvan Nouri (Dermatology & Cutaneous Surgery), Yelena Yesha (University of Miami Institute for Data Science and Computing), John Tsatalis (Dermatology & Cutaneous Surgery), Mostafa Abdel-Mottaleb (Biomedical Engineering), Scott Elman (Dermatology & Cutaneous Surgery)

AI-Driven Discovery of Catalysts to Accelerate Carbon Capture in Concrete (Co-sponsored by the College of Arts & Sciences)

Team: Rajeev Prabhakar (Chemistry), Luis Pestana (Civil & Architectural Engineering), Prannoy Suraneni (Civil & Architectural Engineering)

Interdisciplinary Research AI Agent to Engineer Virus-Based Self-Healing Concrete

Team: Luis Ruiz Pestana (Civil, Architectural & Environmental Engineering), Antoni Luque (Biology)

Improving Coral Larval Recruitment using Engineering, Biophysics, and Generative AI

Team: Prannoy Suraneni (Civil, Architectural & Environmental Engineering), Vivek Prakash (Physics), Erotokritos Skordilis (Business Technology), Jenna Efrein (Glass Art)

Using AI to Predict Real Time Speech and Dis/Ability in Diverse Inclusive Preschool Classrooms (Co-sponsored by the College of Arts & Sciences)

Team: Vanessa Aguiar-Pulido (Computer Science), Lynn Perry (Psychology), Daniel Messinger (Psychology), Chaoming Song (Physics)