51ÉçÇø

Gallery 2 | 2 - 2:30 P.M.

Matt Hale (University of Nebraska at 51ÉçÇø)

With guided hands-on labs in VECTR, a live cyber range, and an AI-enabled Security Operations Center, MATRIX seeks to upskill and empower the next generation of cybersecurity professionals.

Gallery 3 | 2 - 2:30 P.M

Kellee Mikuls (Ignite Nebraska)

I can’t get AI to drive the carpool line yet — but I can show you how it drives real results at home and at work.

Gallery 4 | 2 - 2:30 P.M

Mindy Chen (Mutual of 51ÉçÇø)

Discover how to create an intelligent, agentic Retrieval-Augmented Generation (RAG) chatbot that delivers accurate, context-aware answers about your company’s products. This session will walk through the essential components of an agentic RAG architecture—combining large language models, vector databases, and orchestration layers—to ensure your chatbot not only retrieves the right information but also reasons when needed.

Gallery 6 | 2 - 2:30 P.M

Michael Hollins (University of Nebraska Medical Center)
Dheeraj Varandani (University of Nebraska at 51ÉçÇø)
Bill Glass (University of Nebraska Medical Center)

Discover how iEXCEL integrates AR, VR, and holographic simulation with AI-powered creation tools to enhance medical learning. Our multidisciplinary team bridges design, technology, and science to reimagine how students experience anatomy, clinical reasoning, and patient care.

Gallery 2 | 2:30-3:00 P.M.

Prashanti Manda, Ph.D. (University of Nebraska at 51ÉçÇø)

I am leveraging Generative AI to analyze unstructured clinical notes, automatically identifying key medical concepts such as diagnoses, procedures, and risk factors. This work improves coding accuracy, reduces manual effort, and accelerates chart review, creating measurable impact at the team and organizational level by speeding up claims processing and enhancing quality insights. In this demo, the audience will learn practical strategies for applying Gen AI to unstructured text, see how automation can reduce repetitive manual work, and take away concrete ideas they can implement to make their own workflows more efficient and scalable.

Gallery 3 | 2:30-3:00 P.M.

Katie Cunningham (College Possible)

Too often, student support relies on “vibes” and intuition. In this session, you’ll learn how College Possible is harnessing generative AI to move beyond guesswork, using data to drive smarter coaching, stronger student engagement, and more efficient staff operations. You’ll see practical examples of AI in both student- and staff-facing tools, from chatbots to quality improvement analytics, and walk away with ideas you can adapt to your own work to save time, uncover insights, and create meaningful change for the people you serve.

Gallery 4 | 2:30- 3:00 P.M.

Erin Saxby (FNBO)

One of the most exciting ways AI enables all of us is in democratizing expertise and providing thought partnership. We’ll cover how to best leverage AI to further your personal and professional goals.

Gallery 6 | 2:30-3:00 P.M.

Seth Kleinwort (Creighton University)
Tobias Nownes (Creighton University)

This session offers a side-by-side demonstration of NotebookLM’s curated-source approach and a GPT’s format-first approach. By running a single task through both tools, we’ll highlight how each produces distinct results and clarify where one or the other may be better suited for study, teaching, and workplace use.

Gallery 6 | 3 - 4 P.M.

Aditi Rai (3rd year Information Science & Technology Student)

About Aditi: My ultimate goal is to pursue a career in emergency medicine. I hope to combine my degree in Computer Science with my medical practice to enhance patient care, improve the overall patient experience, and optimize the allocated resources without overexerting the healthcare staff.

Gallery 6 | 3 - 4 P.M.

Athena Patsalis (Graduate Student in Counseling)

About Athena: I am going into the clinical mental health counseling field and I hope to aid in both individual and systematic change as well as the relation between the two. My goal is to significantly improve the quality of life for those living in poverty, abuse, and who are struggling or at risk for mental health disorders throughout my career and thereafter.

Gallery 6 | 3 - 4 P.M.

Narges Shakerian (Ph.D. Student in Biomechanics)

About Narges: I am doing Biomechanics. I want to stay in academia and be a researcher but having my own team and train next generation is my final goal.

Gallery 6 | 3 - 4 P.M.

Jingxian Gu (Ph.D. Student in Biomechanics)

About Jingxian: I'm in biomechanics. I hope to conduct research on rehabilitation equipment and applications.

Gallery 6 | 3 - 4 P.M.

John O'Halloran (Ph.D. Student in Public Administration)

About John: I am building a career at the intersection of public administration and information systems, as a practitioner‑researcher who equips agencies with computational tools for ex‑ante policy evaluation. My goal is to lead or partner with public innovation labs to embed computational governance including auditable simulations, civic data pipelines, and fairness metrics into routine administrative design and budgeting.

Gallery 2 | 4 - 4:30 P.M.

Joel Elson (University of Nebraska at 51ÉçÇø)

Participants will learn about the unintended consequences and malign use of AI, and how Nebraska is working to develop solutions to these challenges.

Gallery 3 | 4 - 4:30 P.M.

Albert Varas (Latino Center of the Midlands & Orchard AI)

What if you could go from idea to launch plan before your coffee gets cold? In this live, interactive demo, you’ll help shape a crowdsourced business concept and watch generative AI turn it into a first-draft plan. Together we’ll generate a value proposition, market research snapshot, customer profile, revenue model, marketing strategy, and a 90-day launch roadmap—all in just 30 minutes. You’ll leave with a clear picture of how AI can jumpstart creativity, accelerate planning, and give any entrepreneurial idea a powerful head start.

Gallery 4 | 4 - 4:30 P.M.

Edna Wong (KPMG)

Join us for a practical, demo-focused session designed to show you how AI can streamline your workday. We'll skip the theory and focus on real-world applications where you will learn how to turn chaotic email threads into clear action plans, create polished presentations from simple documents without copying and pasting, and analyze data from a spreadsheet without touching a formula. The goal is to equip you with proven AI workflows that save time and deliver better results.

Gallery 6 | 4 - 4:30 P.M.

Sam Peshek (University of Nebraska at 51ÉçÇø)

Struggling to make your AI-driven writing sound more like…you? Learn how to build a custom copywriter GPT trained on your brand voice and use it to create copy that cuts through the noise and connects with audiences.

Gallery 2 | 4:30 - 5 P.M.

Jacob Hansen (ALA Engineering)

This session dives into the design of cyber-physical systems that bring AI out of the cloud and into the feedlot. Learn how we combine sensors, software, and edge computing to deliver reliable, ROI-driven autonomy.

Gallery 3 | 4:30 - 5 P.M.

Joe Sparano (University of Nebraska at 51ÉçÇø)
Kristen Wesemann (University of Nebraska at 51ÉçÇø)

In this session, UNO’s microcredential designers showcase our Al workflow. You’ll see how we use Al to apply our research-backed outlining framework, make asynchronous learning more fun for students, and streamline the development of highly visual Canvas pages.

Gallery 4 | 4:30 - 5 P.M.

Sierra Futterman (Hudl)

Learn how Hudl is enhancing user workflows using generative AI to save coaches and athletes valuable time and creating systems to support powering any Hudl product with AI.