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Dr.AdamPage Page

Executive AI Architect specializing in low-power edge/embedded AI systems

AMBiQUniversity of Maryland, Baltimore CountyAustin, TX18 Years ExperienceExecutive Level

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Experience

Chief AI ArchitectAMBiQ · Nov 2025 – Present
Principal AI EngineerAMBiQ · Jun 2022 – Nov 2025
AI Tech LeadSAMTEC · May 2016 – Jun 2022
Research AssistantUniversity of Maryland, Baltimore County · Jan 2012 – Jan 2016
Software Engineer, ML/Data SystemsCreative Micro Designs · Jan 2012 – Jan 2016
Electronics TechnicianCreative Micro Designs · Jan 2006 – Jan 2009

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Education

University of Maryland, Baltimore Countydoctorate, Computer Engineering (2016)
University of Maryland, Baltimore Countybachelor, Computer Engineering (2012)

Awards

  • HeartKIT™ ADK, Embedded World: AI Winner (2025)
  • HeartKIT™ Demonstrator, TSMC: Demo of the Year (2023)
  • Best Paper Award, GLSVLSI Conference (2016)
  • Student Travel Award, GLSVLSI Conference (2016)
  • NSF-EECS Student Award, BioCAS Conference (2015)
  • Best CSEE Research Review Award, UMBC (2013)
  • Graduate Cum Laude for B.S. Degree, UMBC (2012)

Languages

English

Publications

14 publications

Low-power deep learning acceleratorsEmbedded/real-time neural network accelerationSparse CNN hardware accelerationSeizure detection using EEGBiomedical signal processingEmbedded biometric authentication (ECG)Wearable medical devices

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Typically responds within 24 hours

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Dr.AdamPage PageExecutive AI Architect specializing in low-power edge/embedded AI systems