Person:
Knupp, Michael

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https://www.husson.edu/directory/michael_knupp
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Director, School of Technology and Innovation
Assistant Professor, College of Business
Last Name
Knupp
First Name
Michael
Name
Degrees Held
Ph.D. Information Systems, 2024, Dakota State University
M.S. Computer Information Systems, Boston University
B.A. Mathematics, University of Maine
B.A. Secondary Education, University of Maine

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    IMMERSIVE DIGITAL AUDIO WORKSTATION
    (2026-04-16) Hope, Colby; Avelange, Dylan; Ahlers, Eric; Knupp, Michael
    This project is a spatially driven Digital Audio Workstation (DAW) concept that reimagines the typical music creation process by placing the user inside a digital recreation of a studio environment using virtual reality. This project explores how music composition, collaboration, and performance can be made more intuitive and accessible by positioning musical creation tools within a virtual 3D space. Users can interact with instruments and engage with elements of the music creation process through immersive, hands-on experiences in virtual reality. In some cases, this approach can make these tools more accessible to individuals who may not have access to a dedicated mixing or music creation space. Our focus is on emulating as much of the music creation and mixing process as possible while ensuring the environment runs smoothly on standalone VR hardware, usability, and realism.
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    AI CHATBOT FOR PUBLIC FACING BUSINESS WEBSITE
    (2026-04-16) Shema, Norbert; Desjardins, Michael; Knupp, Michael
    The ScoobySquad AI Agent is an intelligent customer support and workflow automation system designed to enhance the efficiency and scalability of a small service-based business specializing in pet waste removal. This capstone project integrates modern artificial intelligence techniques, including natural language processing and retrieval-augmented generation (RAG), to create a responsive chatbot capable of answering customer inquiries, guiding service requests, and supporting internal operations. The system is built using a combination of web-based technologies, a vector database for semantic search, and automation workflows powered by n8n to connect customer interactions with business logic. At its core, the AI agent leverages a structured knowledge base stored in a cloud database, where frequently asked questions and operational data are embedded into vector representations. When a user submits a question through the website chat interface, the system retrieves the most relevant information using similarity search and generates a context-aware response. This approach allows the AI agent to provide accurate, conversational answers while continuously improving as new data is added. Additionally, n8n enables seamless orchestration of backend processes, such as handling incoming requests, routing data between services, and supporting potential integrations like scheduling and customer management systems. The value of this project lies in its ability to demonstrate how advanced AI technologies can be applied to small, local businesses to improve customer experience and operational efficiency. By reducing the need for constant manual communication, the ScoobySquad AI Agent allows business owners to focus on service delivery while maintaining high-quality customer engagement. This project highlights the growing importance of AI-driven solutions in modern business environments and showcases a practical implementation of intelligent automation.