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EECS Rising Stars 2021

EECS Rising Stars 2021

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Amrita Roy Chowdhury, University of Wisconsin-Madison: “Differential Privacy and Cryptography – A Symbiotic Relationship”

October 12, 2021October 12, 2021Jennifer Donath
Participant

Jieyu Zhao, UCLA: “Understanding and Intervening on Societal Biases in Natural Language Processing”

September 10, 2021October 5, 2021Jane Halpern
Participant

Qian Zhang, UCLA: “Reinventing Software Developer Tools for Heterogeneous Computing Paradigm”

September 10, 2021October 5, 2021Jane Halpern
Participant

Kristin Williams, Carnegie Mellon University: “An Upcycled IoT: Reducing the Financial and Social Costs of Adopting New Computing through Lightweight Modification of Everyday Objects”

September 10, 2021October 5, 2021Jennifer Donath
Participant, Photonics and Quantum Technology

Alycen Wiacek, Johns Hopkins University: “Coherence-based Learning from Raw Ultrasound Data for Breast Mass Diagnosis”

September 10, 2021October 5, 2021Jennifer Donath
Participant

Melanie Weber, University of Oxford: “Geometric Methods for Machine Learning and Optimization”

September 10, 2021October 5, 2021Myung-Hee Vabulas
Participant

Amanda Watson, University of Pennsylvania: “Computation of Human Performance”

September 9, 2021October 5, 2021Myung-Hee Vabulas
Participant

Stephanie Wang, UC Berkeley: “A Distributed Memory Layer for General-Purpose Execution”

September 9, 2021October 5, 2021Jane Halpern
Participant

Jingbo Wang, University of Southern California: “Enhancing Software Security via Scalable Verification and Program Synthesis Techniques”

September 9, 2021October 5, 2021Jane Halpern
Participant

Maribel Torres-Velazquez, UW-Madison: “Multi-channel Deep Learning Networks as an Advanced Modeling Technique in Improving Epilepsy Workup”

September 9, 2021October 5, 2021Myung-Hee Vabulas

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