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Xinming (Simon) Ou is broadly serious about research that addresses pressing-want cybersecurity challenges. He is especially interested in study challenges that come up from simple domains, with a concentrate on the two experimental/empirical analyze and audio theoretical footings.

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Driven by a passion to drive the boundaries of AI in Training, he also integrates info visualization techniques, building interactive, human-centered platforms to democratize and contextualize the enhancements AI, like GenAI, in training. By seeking to be aware of and enhance the interplay involving AI, learners and instructors, Dr. Pei aims to advance the realms of reputable and precision education and learning, bridging the gap in between know-how and pedagogical efficiency.

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Much more lately he is learning the condition of incident response/forensics Evaluation to know how this process can take advantage of systematic modeling and automation, grounded on seem theories of reasoning less than uncertainty. In this energy we're adopting an inter-disciplinary approach, exactly where we function with our anthropology colleague to carry out ethnographic fieldwork at real security Procedure facilities. This presents a method for scientists to accessibility the "tacit information" of security analytics, which is important to formulating the proper models and algorithms.

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