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I am a PhD student in the
My research focuses on developing lifelong adaptability in AI systems in dynamic real-world environments. I have been approaching this by developing new techniques in knowledge distillation through space and time, and continual learning.
My recent research interest includes the following topics:
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[Award] Awarded the UCSC Baskin Engineering Dean's Travel Grant. |
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[Publication] Efficient Knowledge Distillation via Salient Feature Masking accepted at APL Machine Learning. |
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[Publication] Future-Guided Learning – A predictive approach to enhance time-series forecasting published in Nature Communications. |
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[Award] Awarded the 2025 IEEE Women in Engineering (WIE) International Leadership Conference (ILC) Student Scholarship. |
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[Fellowship] Selected as a Young Fellow at the Design Automation Conference (DAC) 2025. |
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[Publication] One paper accepted at ISCAS 2025. |
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[Preprint] New preprint released: Future-Guided Learning. |
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[Publication] One paper accepted at BayLearn 2024. |
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[Joining] Joined |
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[Award] Won the 2023 POSCO Asia Fellowship: POSCO TJ Park Foundation, South Korea. |