Research Themes and AI Involvements

AI and Healthcare 

CADS leads projects targeting healthcare applications using AI in applications such as modeling hospital readmissions, and exploring the impact of complications on individuals with diabetes. 

Faculty leads: Denise Gobert (PhyTh), Barbara Hewitt (HIM), Jelena Tesic (CS)

Sustainability, Cloud, and AI 

Research in this area focuses on carbon-aware energy efficient computing strategies, providing solutions to mitigate the environmental impacts of AI and cloud services, with a goal to increase energy efficiency, reduce emissions and promote sustainable growth. Faculty lead: Ziliang Zong (CS)

AI, Climate and Resilience 

CADS researchers are improving flood modeling using satellite data and advanced AI techniques. This work supports flood risk management and contributes to the resilience of communities vulnerable to climate-related disasters. 

Faculty lead: Eunsang Cho (CE)

AI and Transportation

CADS supports analysis in shifts in urban mobility patterns that can enhance transportation systems. The team is also exploring the impact of AI technologies on integrated vehicles; including using face detection to help with planning. 

Faculty lead: Yihong Yuan (Geog), Semih Aslan (EE)

Responsible AI 

CADS explores scalable and fair AI systems for applications like graph clustering, emphasizing efficient algorithms and fairness in data processing. This work addresses challenges in transparency and equity in AI solutions. 

Faculty leads: Young Ju Lee (Math), Chul Ho Lee (CS)

Emergency Response and AI 

CADS supports projects enhancing fire and rescue operations with AI-driven technologies, such as autonomous drones and rovers equipped with real-time sensors to detect and assist during emergencies. 

Faculty lead: Damian Valles (EE)

Criminal Justice and AI 

CADS applies AI and data science to improve decision-making in criminal justice, focusing on police-citizen interactions, crisis intervention, and predictive algorithms that optimize mental health call responses and policing strategies. 

Faculty lead: Lucia Summers (CJ), Jelena Tesic (CS)

Data-Enabled Communication Disorders 

CADS uses AI to assist children with Autism Spectrum Disorder (ASD) by improving emotional recognition through machine learning models analyzing speech and facial expressions. 

Faculty leads: Maria Resendiz (Communication Disorders), Damian Valles (EE)

Adversarial AI 

CADS is developing adversarial risk analysis frameworks that address the challenges of data manipulation by adversaries. This research is crucial for applications in cybersecurity, fraud detection and national defense, ensuring the security of AI methods in high-stakes environments. 

Faculty lead: Tahir Ekin (ISA)

Agriculture Data Science 

CADS applies AI to optimize agricultural practices, promote sustainability, and reduce food waste. Their work includes analyzing soil and climate data to inform smart agricultural decisions. 

Faculty leads: Xiangping Liu (Ag), Jelena Tesic (CS)

Unstructured Data and Network Science at Scale

CADS supports data science developments with a focus on unstructured data that would extend AI applications to analyze complex distributed networks in public safety, education, and planning, offering tools to identify discrepancies and trends in these systems. 

Faculty lead: Jelena Tesic (CS)

Manufacturing and Supply Chain Resilience 

CADS research supports predictive maintenance and resilience in supply chains, helping industries anticipate disruptions and optimize operations. 

Faculty leads: Dincer Konur (ISA), Wenquan Dong (IE), Tongdan Jin (IE)