Experiential Learning

The AI Hardware Design League offers students an opportunity to design and prototype custom hardware systems optimized for AI. Projects focus on edge computing, robotics, and machine learning acceleration. Students develop practical skills in hardware-software integration and prepare for careers in AI systems engineering.

Focus Areas: Edge computing, AI hardware, embedded systems, student-led innovation

This student-centered clinic empowers students to provide cybersecurity support to public and nonprofit organizations. Projects incorporate AI for threat detection, digital forensics, and secure infrastructure—offering practical experience with a public service mission.

Focus Areas: Cybersecurity, AI threat analysis, ethical hacking, civic tech

At the intersection of artificial intelligence and extended reality, this studio invites students to explore immersive storytelling, interactive design, and spatial computing. Projects integrate machine learning into virtual and augmented reality environments, encouraging creativity across disciplines.

Focus Areas: Immersive media, spatial AI, creative technologies, cross-disciplinary design

Students contribute to solutions for public health challenges by applying AI to data analysis, health equity research, and environmental health monitoring. This initiative bridges technology and community well-being, encouraging responsible use of data and inclusive innovation.

Focus Areas: Public health data, health equity, environmental monitoring, AI for impact

Students engage in developing AI systems that support medical interviewing, including virtual assistants and symptom-checking tools. Projects focus on natural language processing and improving communication between patients and healthcare providers.

Focus Areas: Health communication, medical AI, natural language processing, patient-centered technology

This initiative offers hands-on research in AI systems for diagnostics, clinical decision-making, and health system optimization. Students contribute to tools that improve access, accuracy, and efficiency in healthcare delivery.

Focus Areas: Precision medicine, health systems engineering, diagnostic AI, machine learning

This program supports student research in AI systems designed to improve public safety—both in the home and on the road. Projects include smart infrastructure, risk detection, and real-time data analysis to enhance quality of life and community safety.

Focus Areas: Urban safety, smart transportation, predictive analytics, AI for communities