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AI-CCORE

Fostering the Future of AI Innovation | Empowering Businesses, Communities, and Professionals

Artificial | Intelligence | Center | Collaborative | Outreach | Research | Education 

Empowering the future through AI education, research, and collaborative innovation.


Who We Are

AI-CCORE is a premier hub at University of Nebraska at Omaha (UNO) 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 leads AI education, research, and innovation, empowering professionals, businesses, and students to deploy AI responsibly. Through strategic partnerships and cutting-edge programs, we strengthen Nebraska's AI ecosystem while driving global impact across industries and communities.

Initiatives

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Bootcamps

Tailored for Software Developers and IT/Data Engineers to build and deploy real-world AI applications.

Learn more about Bootcamps
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Masterclasses

Equipping professionals across industries to harness AI for strategic transformation and competitive advantage.

Learn more about Masterclasses
students sit at a table learning about NextGen AI Studio.

NextGen AI Studio

High schoolers build impressive AI portfolios using no-code tools. Create real applications while learning essential skills for tomorrow's opportunities.

Learn more about Next Gen AI Studio
students at AI Intern Academy.

AI Intern Academy

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!

Coming Soon

Upcoming Events

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What People Are Saying

participants 1 quote: The clear explanation of RAG architectures was excellent. The Langflow workshops effectively focused on practical principles, enabling hands-on learning.
participant 2 quote: 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."
participant 3 quote: "The Langflow build template was highly effective. The presentation was informative and created valuable opportunities to learn about various AI applications from other participants."

Student Testimonials

Our Team

Mahadevan Subramaniam (Subu)

Mahadevan Subramaniam (Subu)

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.

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Victor Winter

Victor Winter

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.

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Derrick Nero

Derrick Nero

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.

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Joel Elson

Joel Elson

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.

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Prashanti Manda

Prashanti Manda

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.

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Chun-Hua Tsai

Chun-Hua Tsai

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.

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P Ashish Kumar

P Ashish Kumar

AI Platform Engineer

Ashish specializes in developing and optimizing AI platforms with expertise in machine learning infrastructure and deployment. His technical knowledge helps ensure AI-CCORE's solutions are scalable, efficient, and aligned with industry best practices.

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Vijayaragupathy Vijayaragunathapandian

Vijayaragupathy Vijayaragunathapandian

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.

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Vishva Prasanth Srinivasan

Vishva Prasanth Srinivasan

AI Innovation Engineer

Vishva specializes in turning complex AI concepts into clean, working systems. With a strong background in data architecture and enterprise tech, he bridges tools like LLMs, LangChain, and n8n with real-world use cases. Known for combining product thinking with execution speed, his work sits at the intersection of AI, automation, and impact.

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Indhusree Katlakanti

Indhusree Katlakanti

Graduate Student

Indhusree Katlakanti is a Data Science graduate student at the University of Nebraska at Omaha, with hands-on experience in automation, software testing, and data analytics. She works on applying machine learning and AI techniques to solve real-world problems, using tools such as R, SQL, and data visualization. With a strong interest in large language models (LLMs), Indhu is eager to explore automation and validation of LLM workflows as part of building scalable, intelligent solutions that enhance human potential.

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Mathesh Malraja

Mathesh Malraja

AI-native Outreach and Development Lead

Mathesh drives AI adoption through strategic outreach, partnership building, and technical program development. He connects emerging AI capabilities with organizations and communities, creating pathways to implement intelligent systems that deliver real-world impact.

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AI-CCORE

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