Applied Machine Learning - Deep neural network research
Applied generative AI
Arc/INFO ArcGIS
C
C++
CNN Sequence Detection
Cloud Computing
Computer-Aided Software Engineering (CASE) - my entire PhD dissertation involved designing and developing a software engineering environment to 'engineer' sensor algorithms following an award-winning systemized processed coined as Sensometrics.
Conversational AI
Data Analysis
Data Analytics
Data Mining
Deep Learning - Neural net architectures and applications for data mining and controls.
Deep-learning NNs
Deep-learning R&D
Digital Twins/Model-Based Systems Engineering
Distributed Systems
Electronics
Engineering
GPS - Global Positioning Systems
Gas Voltammetry/Polarography
Geographic Information Systems (GIS)
Hardware-based CNNs
Human Cognition
Integration
Knowledge Engineering
LabVIEW
MEMs accelerometers - interfacing, measurement and calibration of devices in complex use environments. Designed and developed unmanned aircraft autopilot and stability systems based upon inputs from MEMs accelerometers and tilt sensors. Developed computational neural network algorithms to speed up, smooth out, and forecast values from MEMs devices for improved sensor-based control systems. Patents awarded.
Machine Learning
Manned/Unmanned Teaming and UxV Swarming
Manufacturing
Material Science
Matlab
Medical Laboratory Data Analytics
Micro Electro-Mechanical systems (MEMs) sensors
Microelectronics Design and Fabrication (hybrid cermets)
Microsoft Office
Nanotechnology
Natural Language Processing (NLP)
Natural Language Understanding
Programming
Project Leadership
Project Leadership, Government Contracting
Project Planning
Proposal Writing
Public Speaking
Python
Python (Programming Language)
R&D
Reinforcement Learning - Optimization for Complex Systems
Remote Sensing
Research
Research and Development (R&D)
Sensors
Signal Processing
Simulations
Software Development
Software Engineering
Spatial Analysis
System Design
Systems Design
UAS
UAV
UAV UAS Unmanned Aircraft Drone
Unmanned Undersea Vehicles
aerospace
aircraft maintenance
aviation
commercial aviation
leadership
management
project management
Geographic
Measurement and Calibration of Devices in Complex Use Environments
Interfacing
GPS
Deep Learning
Research and Development R&d
Mems Accelerometers
Developed Computa
Computer Aided Software Engineering Case
Micro Electro Mechanical Systems Mems Sensors
Information Systems Gis
Global Positioning Systems
Neural Net Architectures and Applications for Data Mining and Controls
Patents Awarded
Research and Development
Geographic Information Systems
Micro Electro Mechanical Systems Sensors
Computer Aided Software Engineering
Michael Vogt Summary
Michael Vogt, based in Jordan, MN, US, is currently a Chief Science Officer at NORTH AMERICAN ROBOTICS. Michael Vogt brings experience from previous roles at Avanade, General Dynamics Mission Systems, NORTH AMERICAN ROBOTICS and DOE's Argonne National Laboratory. Michael Vogt holds a 1995 - 2001 Ph.D. in Computer Science @ Illinois Institute of Technology. With a robust skill set that includes AI-based complex system optimization, AI-based systems optimization, AI-based vision systems, detection, recognition, tracking, AI/ML Solution Architect in Azure, AI/computer vision systems and more. Michael Vogt has 1 emails and 2 mobile phone numbers on RocketReach.
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