Matthew Boutell

Papers

Total Citations

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About

Matthew Boutell is a computer scientist whose research spans educational robotics, cybersecurity, and machine learning. His most impactful work includes developing a multidisciplinary robotics minor, which has garnered 5 citations and helped shape curriculum design for integrating robotics into undergraduate education. Boutell also created a simulator for teaching robotics programming using the iRobot Create, a tool that enhances student performance by providing a safe, accessible environment for learning Python-based robotics. This work, cited 2 times, reflects his commitment to innovative pedagogy. In a notable foray into cybersecurity, Boutell co-authored a study on breaking Google’s reCAPTCHA v2, achieving high accuracy in classifying road sign images using convolutional neural networks. This research, also with 2 citations, demonstrates his ability to apply deep learning to real-world security challenges. Through these contributions, Boutell has influenced both how robotics is taught and how machine learning can be used to test system vulnerabilities, making him a versatile researcher with impact across multiple domains.