AI-CCORE
FOSTERING THE FUTURE OF AI INNOVATION
Empowering Businesses, Communities, and Professionals
Artificial | Intelligence | Center | Collaborative | Outreach | Research | Education
Who We Are
AI-CCORE is a premier hub at University of Nebraska Omaha for AI services and education, fostering the next generation of AI specialists and leaders. As a driving force in AI innovation, we empower businesses, communities, and professionals to advance the AI economy in Nebraska and beyond.
Vision
AI-CCORE strives to be a global leader in AI education, innovation, and research—driving workforce development, enterprise solutions, and transformative research. Through convergent partnerships and cutting-edge education, we empower professionals, businesses, and students with the knowledge and skills to integrate AI responsibly and ethically. Our goal is to strengthen Nebraska's AI ecosystem and extend its impact across industries, higher education, and communities—locally and beyond.
Initiatives
Launch your career with in-demand AI skills. Build impressive projects that get you noticed by top employers. From intern to industry-ready in weeks!
Upcoming Events
What People Say
Hear from our bootcamp and masterclass participants
"The clear explanation of RAG architectures was excellent. The Langflow workshops effectively focused on practical principles, enabling hands-on learning."
"The detailed coverage of RAG approaches and chunking strategies, with emphasis on their functional differences, was valuable. The well-explained demonstrations and concept-focused exercises enhanced the learning experience."
"The Langflow build template was highly effective. The presentation was informative and created valuable opportunities to learn about various AI applications from other participants."
Video Testimonials
Watch success stories from our participants from previous bootcamps
Tabitha Kruger - Software Engineer, Blue Cross and Blue Shield of Nebraska
Anthony Balmer - Lead Software Engineer, Union Pacific Railroad
Jacob Gonzales - Business Intelligence Project Manager, Todata Analytics
Team
Director, AI-CCORE and Chair, Dept. of Computer Science
Dr. Mahadevan Subramaniam (Subu) is Chair of the Computer Science Department at UNO and Director of AI-CCORE. He leads AI research at the Intelligent Modeling, Simulation, and Testing Laboratory. Previously, he worked in Silicon Valley on compiler design and at NASA Ames Research Center.
Deputy Director, AI-CCORE and Professor, Dept. of Computer Science
Dr. Winter is a full professor at the University of Nebraska at Omaha and previously worked atia National, focusing on software correctness. Since ChatGPT's launch in November 2022, he has become a sought-after speaker on Generative AI.
UNO STEM TRAIL Center Associate Director for External Partnerships
Dr. Nero began as an Electrical Engineer and transitioned to education in 2000, focusing on STEM in Omaha Public Schools and collaborating with UNO on robotics. He a full Instructor at UNO in 2014 and a tenured Associate Professor in 2024.
Assistant Professor, Dept. of School of Interdisciplinary Informatics
Joel Elson brings expertise in software development and AI implementation to the AI-CCORE team. With a focus on creating practical applications of artificial intelligence, he helps bridge the gap between theoretical research and real-world solutions.
Associate Professor, Dept. of Computer Science
Dr. Prashanti Manda is an Associate Professor at the University of Nebraska Omaha (UNO), specializing in bioinformatics and data science. She earned her PhD from Mississippi State University (2012), completed postdoctoral work at UNC Chapel Hill, and previously taught at UNC Greensboro. Her NSF CAREER Award-winning research focuses on computational methods for analyzing biological data.
Assistant Professor, Dept. of Information Systems and Quantitative Analysis
Dr. Chun-Hua Tsai conducts research at the intersection of Human-Computer Interaction (HCI), Intelligent User Interface (IUI), and Artificial Intelligence (AI). His work focuses on developing fair, trustworthy, and transparent AI through data-driven and human-centered computing approaches, with a particular emphasis on empowering non-expert users and marginalized groups.
AI Engineer
Vijay is an AI engineer with 3.5 years of machine vision experience and is currently pursuing an MS in Data Science. He works on computer vision, machine learning, and data-driven solutions, with hands-on experience in LLMs, AI automation, and frameworks such as Langflow, LangChain, n8n, LangGraph, MCP, and ADK.