Can AI think like a Scientist?

Explaining Trustworthy AI & Self-Driving Labs with Purdue PhD Candidate Akshita Kamsali

In this episode of Engineering Innovations from Purdue’s Elmore Family School of Electrical and Computer Engineering, host Kristin Malavenda interviews fifth-year PhD candidate Akshita Kamsali, who works with Professor Avi Kok on deep learning with a focus on computer vision and natural language processing. Akshita shares how her engineering background and Purdue exchange experience led her to pursue a PhD at Purdue, and how her research evolved from optics to AI. She explains her work on understanding and improving the reliability of deep learning models used in sensitive areas such as medicine and security, and discusses her Lawrence Livermore National Laboratory internship exploring large language models for multimodal “self-driving labs,” emphasizing challenges such as safety, security, transparent object sensing, accuracy, and efficiency. Akshita also reflects on the realities of the PhD journey, advising, and career plans.

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Purdue University's Elmore Family School of Electrical and Computer Engineering, founded in 1888, is one of the largest ECE departments in the nation and is consistently ranked among the best in the country.

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