معرفی
Justin Grammens is an Adjunct Professor at the University of Saint Thomas, specializing in Software Engineering and Data Science. He holds a BA in Applied Math and Physics from Augsburg University (1996) and a Master of Software Systems from the University of Saint Thomas (2005). As a serial entrepreneur, he founded Lab651 and Recursive Awesome, co-founded Captovation (an AI platform) and Emerging Technologies North (a non-profit), and hosts the AppliedAI Podcast. His expertise spans IoT, Machine Learning, TinyML, and Cloud Computing. He actively speaks at conferences such as NDC and Twin Cities Startup Week, and his research includes TinyML applications and AI ethics. He holds patents related to distributed file systems and lost product management. Beyond academia, he runs marathons and emphasizes lifelong learning and community engagement through tech initiatives.
Education:
- B.A. Applied Math and Physics, Augsburg University, 1996
- M.S. Software Systems, University of Saint Thomas, 2005
Research Interests:
Justin focuses on applying AI and ML to real-world challenges through TinyML, IoT integration, and edge computing. He explores how low-power devices can enhance data analytics and emphasizes ethical AI practices. His work bridges academic research and industry applications, often leveraging TensorFlow and cloud platforms. He also advocates for accessible education through podcasts and meetups.
Labs/Teams:
- Lab651: Develops connected products and AI solutions
- AppliedAI Meetup: Hosted by Emerging Technologies North
