Pennington, NJ, United States of America

Keelan Evanini

USPTO Granted Patents = 17 

Average Co-Inventor Count = 3.6

ph-index = 6

Forward Citations = 95(Granted Patents)


Company Filing History:


Years Active: 2015-2022

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17 patents (USPTO):

Title: Keelan Evanini: Innovator in Machine Learning for Education

Introduction

Keelan Evanini, a prominent inventor based in Pennington, NJ, has made significant strides in the field of machine learning, particularly in applications relevant to education. With a remarkable portfolio of 17 patents, Evanini stands out as a critical figure in the conversation around the intersection of technology and educational assessment.

Latest Patents

Two of Evanini's latest patents exemplify his innovative approach to enhancing educational assessments through machine learning. The first patent, titled "Detection of Off-Topic Spoken Responses Using Machine Learning," addresses the challenge of analyzing spoken responses to prompts. This invention utilizes a similarity grid representation to determine how closely a spoken response aligns with a given prompt. By scoring the response using advanced machine learning models, it evaluates the likelihood of the response being off-topic.

The second patent, "Detection of Plagiarized Spoken Responses Using Machine Learning," focuses on identifying instances of plagiarism in spoken assessments. Similar to his previous patent, this invention transcribes spoken data and compares it with source strings to generate a similarity grid. The resulting score, derived from machine learning models, indicates the probability that the spoken response has been plagiarized, thereby enhancing the integrity of educational testing.

Career Highlights

Keelan Evanini has established himself within the Educational Testing Service, a company renowned for its commitment to improving educational quality through effective assessment tools. His role has positioned him at the forefront of innovation in the field, where his patents are shaping the future of educational evaluation.

Collaborations

Throughout his career, Evanini has collaborated with other talented professionals, including Yao Qian and Klaus Zechner. These partnerships reflect a synergistic approach to researching and developing advanced technologies that address the challenges faced in educational assessments.

Conclusion

Keelan Evanini’s contributions through his patents have the potential to revolutionize how spoken responses are evaluated in educational contexts. With his cutting-edge innovations in machine learning, he is paving the way for more effective and reliable assessment techniques, ensuring the integrity and relevance of educational evaluations for future generations.

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