Applied AI Research Center

Welcome to the Applied AI Research Center (AARC) at Purdue University!

Our center, housed within Purdue Polytechnic, is dedicated to advancing the frontiers of artificial intelligence through innovative research, interdisciplinary collaboration, and practical applications. We strive to develop cutting-edge AI solutions that address real-world challenges across various fields, leveraging the diverse expertise and experience of our faculty and partners. Our key research areas include computer vision, cybersecurity, machine learning and data analytics, natural language processing (NLP), and robotics and automation.

Our Mission: 

Our mission is to harness the power of AI to create practical and innovative research programs and projects that solve real-world problems. By integrating theoretical and practical approaches, we aim to advance AI in areas such as robotics, manufacturing, cybersecurity, information technology, technology education, aviation and aerospace, construction management, smart cities, infrastructure, and sustainable energy. Our objectives include:

• Developing Cutting-Edge Research Programs: Leading transformative research that bridges the gap between theoretical AI and practical applications.
• Cultivating AI Talent: Equipping students with the skills needed for emerging AI-driven industries.
• Collaborating with Partners: Engaging with academic institutions, industry partners, and governmental agencies to tackle critical national and global challenges.

Our Vision:

The vision of the AARC is to become a leading hub for applied AI research and innovation. By fostering interdisciplinary collaboration and partnerships, we aim to drive impactful advancements in technology and society. Our ambition is to become the first point of contact for academic institutions, industry partners, and governmental agencies when real-world AI problems arise, positioning ourselves as the go-to resource for developing practical and innovative AI solutions. We aspire to:

• Lead Transformative Research: Ensuring AI technologies are accessible and beneficial to a wide range of industries and communities.
• Create a Dynamic Learning Environment: Preparing students and professionals to excel in AI-driven fields.
• Establish Strong Partnerships: Collaborating with industry, government, and academic institutions to address pressing challenges.
• Contribute to the AI Community: Sharing knowledge, promoting ethical AI practices, and aligning AI advancements with societal values and industry needs.