Exploring Artificial Intelligence in COAS
COAS + AI: The Future Starts Here
Innovation. Interdisciplinarity. Impact.
In COAS, AI isn't limited to coding or algorithms. We view AI as a tool that empowers every discipline—from analyzing historical texts to mapping brain functions, from enhancing language learning to tackling environmental challenges.
Our approach is holistic, emphasizing interdisciplinary research, student engagement, and ethical innovation.
Learn More About Howard University's Groundbreaking AI Initiative
Exploring AI: Opportunities for COAS Students
- AI-Integrated Courses: Explore courses across departments such as Artificial Intelligence & Psychology, Big Data in Biology, Intro. to Data Science, Remixing Reality: Black History Reimagined through AI, Data Storytelling & Visualiza., and more!
- Undergraduate Research Opportunities: Work alongside faculty on cutting-edge projects.
- Skill-Building Workshops & Seminars: Learn practical AI tools, from prompt engineering and data visualization to ethical AI frameworks.
- Internships & Fellowships: We connect students to AI-related opportunities with federal agencies, tech companies, and research institutes.
AI At The Mecca
Our faculty are leading projects that reimagine the potential of AI in COAS
Predictive Discovery of Porphyrin Molecules and their Response Properties using Smart Objects-Enabled Machine Learning
Dr. Kim Lewis, $197,068.00
- This interdisciplinary project integrates machine learning with quantum chemistry and experimentation to accelerate the discovery of porphyrin-based materials. The team is building a porphyrin database and AI models to predict molecule behavior.
Translation potential of using artificial intelligence (AI) for an interactive and inclusive language-learning process designed for young children
Dr. Amy Quarkume, $50,000.00
- This project explores commercialization potential for a language-learning tool that uses AI and family voice recordings to engage young children from diverse backgrounds. It incorporates inclusive natural language processing and speech recognition.
Advancing Computational Biology Training for Undergraduate Students at Howard University,
Dr. Shaolei Teng, $400,000.00
- The project enhances computational biology education by integrating machine learning and AI into the biology curriculum and research experiences. It includes course development and the creation of an Image Data Analysis Platform for student research.
Implementation: Medium: Cyber Training on Materials Genome Innovation for Computational Software (CyberMAGICS),
Dr. Pratibha Dev, $400,000.00
- This project trains students in AI-enabled exascale and quantum computing for materials science research. It includes hands-on modules and a web portal, emphasizing access for underrepresented students.
Get Involved
Students
Want to join a project, find a mentor, or enroll in an AI-related course? Explore opportunities in COAS!
Faculty
Interested in collaborating or sharing your AI work? Submit your research highlights!
Partners & Donors
Learn how you can support AI innovation at Howard University.
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